Archived release notes

Grein
10/29/2024

Summary

Azure HDInsight is one of the most popular services among enterprise customers for open-source analytics on Azure. Subscribe to the HDInsight Release Notes for up-to-date information on HDInsight and all HDInsight versions.

To subscribe, click the “watch” button in the banner and watch out for HDInsight Releases.

Release Information

Release date: Aug 30, 2024

Note

This is a Hotfix / maintenance release for Resource Provider. For more information see, Resource Provider.

Azure HDInsight periodically releases maintenance updates for delivering bug fixes, performance enhancements, and security patches ensuring you stay up to date with these updates guarantees optimal performance and reliability.

This release note applies to

HDInsight 5.1 version.

HDInsight 5.0 version.

HDInsight 4.0 version.

HDInsight release will be available to all regions over several days. This release note is applicable for image number 2407260448. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see HDInsight 5.x component versions.

Issue fixed

Default DB bug fix.

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.
Retirement Notifications for HDInsight 4.0 and HDInsight 5.0.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A.

We're listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community.

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: Aug 09, 2024

This release note applies to

HDInsight 5.1 version.

HDInsight 5.0 version.

HDInsight 4.0 version.

HDInsight release will be available to all regions over several days. This release note is applicable for image number 2407260448. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see HDInsight 5.x component versions.

Updates

Addition of Azure Monitor Agent for Log Analytics in HDInsight

Addition of SystemMSI and Automated DCR for Log analytics, given the deprecation of New Azure Monitor experience (preview).

Note

Effective Image number 2407260448, customers using portal for log analytics will have default Azure Monitor Agent experience. In case you wish to switch to Azure Monitor experience (preview), you can pin your clusters to old images by creating a support request.

Release date: Jul 05, 2024

Note

This is a Hotfix / maintenance release for Resource Provider. For more information see, Resource Provider

Fixed issues

HOBO tags overwrite user tags.
- HOBO tags overwrite user tags on sub-resources in HDInsight cluster creation.

Release date: Jun 19, 2024

This release note applies to

HDInsight 5.1 version.

HDInsight 5.0 version.

HDInsight 4.0 version.

HDInsight release will be available to all regions over several days. This release note is applicable for image number 2406180258. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see HDInsight 5.x component versions.

Fixed issues

Security enhancements
- Improvements on using Tags for clusters in line with the SFI requirements.
- Improvements in probes scripts as per the SFI requirements.
Improvements in the HDInsight Log Analytics with System Managed Identity support for HDInsight Resource Provider.
Addition of new activity to upgrade the mdsd agent version for old image (created before 2024).
Enabling MISE in gateway as part of the continued improvements for MSAL Migration.
Incorporate Spark Thrift Server Httpheader hiveConf to the Jetty HTTP ConnectionFactory.
Revert RANGER-3753 and RANGER-3593.

The setOwnerUser implementation given in Ranger 2.3.0 release has a critical regression issue when being used by Hive. In Ranger 2.3.0, when HiveServer2 tries to evaluate the policies, Ranger Client tries to get the owner of the hive table by calling the Metastore in the setOwnerUser function which essentially makes call to storage to check access for that table. This issue causes the queries to run slow when Hive runs on 2.3.0 Ranger.

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.
Retirement Notifications for HDInsight 4.0 and HDInsight 5.0.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A.

We're listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community.

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: May 16, 2024

This release note applies to

HDInsight 5.0 version.

HDInsight 4.0 version.

HDInsight release will be available to all regions over several days. This release note is applicable for image number 2405081840. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see HDInsight 5.x component versions.

Fixed issues

Added API in gateway to get token for Keyvault, as part of the SFI initiative.
In the new Log monitor HDInsightSparkLogs table, for log type SparkDriverLog, some of the fields were missing. For example, LogLevel & Message. This release adds the missing fields to schemas and fixed formatting for SparkDriverLog.
Livy logs not available in Log Analytics monitoring SparkDriverLog table, which was due to an issue with Livy log source path and log parsing regex in SparkLivyLog configs.
Any HDInsight cluster, using ADLS Gen2 as a primary storage account can leverage MSI based access to any of the Azure resources (for example, SQL, Keyvaults) which is used within the application code.

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.
Retirement Notifications for HDInsight 4.0 and HDInsight 5.0.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A.

We're listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community.

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: April 15, 2024

This release note applies to HDInsight 5.1 version.

HDInsight release will be available to all regions over several days. This release note is applicable for image number 2403290825. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see HDInsight 5.x component versions.

Fixed issues

Bug fixes for Ambari DB, Hive Warehouse Controller (HWC), Spark, HDFS
Bug fixes for Log analytics module for HDInsightSparkLogs
CVE Fixes for HDInsight Resource Provider.

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.
Retirement Notifications for HDInsight 4.0 and HDInsight 5.0.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A.

We're listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community.

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: February 15, 2024

This release applies to HDInsight 4.x and 5.x versions. HDInsight release will be available to all regions over several days. This release is applicable for image number 2401250802. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see

HDInsight 5.x component versions

New features

Apache Ranger support for Spark SQL in Spark 3.3.0 (HDInsight version 5.1) with Enterprise security package. Learn more about it here.

Fixed issues

Security fixes from Ambari and Oozie components

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A

We are listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Next steps

Azure HDInsight is one of the most popular services among enterprise customers for open-source analytics on Azure. If you would like to subscribe on release notes, watch releases on this GitHub repository.

Release date: January 10, 2024

This hotfix release applies to HDInsight 4.x and 5.x versions. HDInsight release will be available to all regions over several days. This release is applicable for image number 2401030422. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Note

Ubuntu 18.04 is supported under Extended Security Maintenance(ESM) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

For workload specific versions, see

HDInsight 5.x component versions

Fixed issues

Security fixes from Ambari and Oozie components

Coming soon

Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A

We are listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: October 26, 2023

This release applies to HDInsight 4.x and 5.x HDInsight release will be available to all regions over several days. This release is applicable for image number 2310140056. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

For workload specific versions, see

HDInsight 5.x component versions

What's new

HDInsight announces the General availability of HDInsight 5.1 starting November 1, 2023. This release brings in a full stack refresh to the open source components and the integrations from Microsoft.
- Latest Open Source Versions – HDInsight 5.1 comes with the latest stable open-source version available. Customers can benefit from all latest open source features, Microsoft performance improvements, and Bug fixes.
- Secure – The latest versions come with the most recent security fixes, both open-source security fixes and security improvements by Microsoft.
- Lower TCO – With performance enhancements customers can lower the operating cost, along with enhanced autoscale.
Cluster permissions for secure storage
- Customers can specify (during cluster creation) whether a secure channel should be used for HDInsight cluster nodes to connect the storage account.
HDInsight Cluster Creation with Custom VNets.
- To improve the overall security posture of the HDInsight clusters, HDInsight clusters using custom VNETs need to ensure that the user needs to have permission for Microsoft Network/virtualNetworks/subnets/join/action to perform create operations. Customer might face creation failures if this check is not enabled.
Non-ESP ABFS clusters [Cluster Permissions for Word Readable]
- Non-ESP ABFS clusters restrict non-Hadoop group users from executing Hadoop commands for storage operations. This change improves cluster security posture.
In-line quota update.
- Now you can request quota increase directly from the My Quota page, with the direct API call it is much faster. In case the API call fails, you can create a new support request for quota increase.

Coming soon

The max length of cluster name will be changed to 45 from 59 characters, to improve the security posture of clusters. This change will be rolled out to all regions starting upcoming release.
Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we will retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs).
- To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A

We are listening: You’re welcome to add more ideas and other topics here and vote for them - HDInsight Ideas and follow us for more updates on AzureHDInsight Community

Note

This release addresses the following CVEs released by MSRC on September 12, 2023. The action is to update to the latest image 2308221128 or 2310140056. Customers are advised to plan accordingly.

CVE	Severity	CVE Title	Remark
CVE-2023-38156	Important	Azure HDInsight Apache Ambari Elevation of Privilege Vulnerability	Included on image 2308221128 or 2310140056
CVE-2023-36419	Important	Azure HDInsight Apache Oozie Workflow Scheduler Elevation of Privilege Vulnerability	Apply Script action on your clusters, or update to 2310140056 image

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: September 7, 2023

This release applies to HDInsight 4.x and 5.x HDInsight release will be available to all regions over several days. This release is applicable for image number 2308221128. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

For workload specific versions, see

HDInsight 5.x component versions

Important

This release addresses the following CVEs released by MSRC on September 12, 2023. The action is to update to the latest image 2308221128. Customers are advised to plan accordingly.

CVE	Severity	CVE Title	Remark
CVE-2023-38156	Important	Azure HDInsight Apache Ambari Elevation of Privilege Vulnerability	Included on 2308221128 image
CVE-2023-36419	Important	Azure HDInsight Apache Oozie Workflow Scheduler Elevation of Privilege Vulnerability	Apply Script action on your clusters

Coming soon

The max length of cluster name will be changed to 45 from 59 characters, to improve the security posture of clusters. This change will be implemented by September 30, 2023.
Cluster permissions for secure storage
- Customers can specify (during cluster creation) whether a secure channel should be used for HDInsight cluster nodes to contact the storage account.
In-line quota update.
- Request quotas increase directly from the My Quota page, which will be a direct API call, which is faster. If the APdI call fails, then customers need to create a new support request for quota increase.
HDInsight Cluster Creation with Custom VNets.
- To improve the overall security posture of the HDInsight clusters, HDInsight clusters using custom VNETs need to ensure that the user needs to have permission for Microsoft Network/virtualNetworks/subnets/join/action to perform create operations. Customers would need to plan accordingly as this change would be a mandatory check to avoid cluster creation failures before September 30, 2023. 
Basic and Standard A-series VMs Retirement.
- On August 31, 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs). To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before August 31, 2024.
Non-ESP ABFS clusters [Cluster Permissions for Word Readable]
- Plan to introduce a change in non-ESP ABFS clusters, which restricts non-Hadoop group users from executing Hadoop commands for storage operations. This change to improve cluster security posture. Customers need to plan for the updates before September 30, 2023.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A

You’re welcome to add more proposals and ideas and other topics here and vote for them - HDInsight Community (azure.com).

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: July 25, 2023

This release applies to HDInsight 4.x and 5.x HDInsight release will be available to all regions over several days. This release is applicable for image number 2307201242. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.1: Ubuntu 18.04.5 LTS Linux Kernel 5.4

For workload specific versions, see

HDInsight 5.x component versions

What's new

HDInsight 5.1 is now supported with ESP cluster.
Upgraded version of Ranger 2.3.0 and Oozie 5.2.1 are now part of HDInsight 5.1
The Spark 3.3.1 (HDInsight 5.1) cluster comes with Hive Warehouse Connector (HWC) 2.1, which works together with the Interactive Query (HDInsight 5.1) cluster.
Ubuntu 18.04 is supported under ESM(Extended Security Maintenance) by the Azure Linux team for Azure HDInsight July 2023, release onwards.

Important

This release addresses the following CVEs released by MSRC on August 8, 2023. The action is to update to the latest image 2307201242. Customers are advised to plan accordingly.

CVE	Severity	CVE Title
CVE-2023-35393	Important	Azure Apache Hive Spoofing Vulnerability
CVE-2023-35394	Important	Azure HDInsight Jupyter Notebook Spoofing Vulnerability
CVE-2023-36877	Important	Azure Apache Oozie Spoofing Vulnerability
CVE-2023-36881	Important	Azure Apache Ambari Spoofing Vulnerability
CVE-2023-38188	Important	Azure Apache Hadoop Spoofing Vulnerability

Coming soon

The max length of cluster name will be changed to 45 from 59 characters, to improve the security posture of clusters. Customers need to plan for the updates before 30, September 2023.
Cluster permissions for secure storage
- Customers can specify (during cluster creation) whether a secure channel should be used for HDInsight cluster nodes to contact the storage account.
In-line quota update.
- Request quotas increase directly from the My Quota page, which will be a direct API call, which is faster. If the API call fails, then customers need to create a new support request for quota increase.
HDInsight Cluster Creation with Custom VNets.
- To improve the overall security posture of the HDInsight clusters, HDInsight clusters using custom VNETs need to ensure that the user needs to have permission for Microsoft Network/virtualNetworks/subnets/join/action to perform create operations. Customers would need to plan accordingly as this change would be a mandatory check to avoid cluster creation failures before 30, September 2023. 
Basic and Standard A-series VMs Retirement.
- On 31 August 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs). To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before 31, August 2024.
Non-ESP ABFS clusters [Cluster Permissions for Word Readable]
- Plan to introduce a change in non-ESP ABFS clusters, which restricts non-Hadoop group users from executing Hadoop commands for storage operations. This change to improve cluster security posture. Customers need to plan for the updates before 30 September 2023.

If you have any more questions, contact Azure Support.

You can always ask us about HDInsight on Azure HDInsight - Microsoft Q&A

You’re welcome to add more proposals and ideas and other topics here and vote for them - HDInsight Community (azure.com) and follow us for more updates on X

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: May 08, 2023

This release applies to HDInsight 4.x and 5.x HDInsight release is available to all regions over several days. This release is applicable for image number 2304280205. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

For workload specific versions, see

HDInsight 5.x component versions

Azure HDInsight 5.1 updated with
1. Apache HBase 2.4.11
2. Apache Phoenix 5.1.2
3. Apache Hive 3.1.2
4. Apache Spark 3.3.1
5. Apache Tez 0.9.1
6. Apache Zeppelin 0.10.1
7. Apache Livy 0.5
8. Apache Kafka 3.2.0
Note
- All components are integrated with Hadoop 3.3.4 & ZK 3.6.3
- All above upgraded components are now available in non-ESP clusters for public preview.

Enhanced Autoscale for HDInsight

Azure HDInsight has made notable improvements stability and latency on Autoscale, The essential changes include improved feedback loop for scaling decisions, significant improvement on latency for scaling and support for recommissioning the decommissioned nodes, Learn more about the enhancements, how to custom configure and migrate your cluster to enhanced autoscale. The enhanced Autoscale capability is available effective 17 May 2023 across all supported regions.
Azure HDInsight ESP for Apache Kafka 2.4.1 is now Generally Available.

Azure HDInsight ESP for Apache Kafka 2.4.1 has been in public preview since April 2022. After notable improvements in CVE fixes and stability, Azure HDInsight ESP Kafka 2.4.1 now becomes generally available and ready for production workloads, learn the detail about the how to configure and migrate.
Quota Management for HDInsight

HDInsight currently allocates quota to customer subscriptions at a regional level. The cores allocated to customers are generic and not classified at a VM family level (For example, Dv2, Ev3, Eav4, etc.).

HDInsight introduced an improved view, which provides a detail and classification of quotas for family-level VMs, this feature allows customers to view current and remaining quotas for a region at the VM family level. With the enhanced view, customers have richer visibility, for planning quotas, and a better user experience. This feature is currently available on HDInsight 4.x and 5.x for East US EUAP region. Other regions to follow later.

For more information, see Cluster capacity planning in Azure HDInsight | Microsoft Learn

Poland Central

The max length of cluster name changes to 45 from 59 characters, to improve the security posture of clusters.
Cluster permissions for secure storage
- Customers can specify (during cluster creation) whether a secure channel should be used for HDInsight cluster nodes to contact the storage account.
In-line quota update.
- Request quotas increase directly from the My Quota page, which is a direct API call, which is faster. If the API call fails, then customers need to create a new support request for quota increase.
HDInsight Cluster Creation with Custom VNets.
- To improve the overall security posture of the HDInsight clusters, HDInsight clusters using custom VNETs need to ensure that the user needs to have permission for Microsoft Network/virtualNetworks/subnets/join/action to perform create operations. Customers would need to plan accordingly as this would be a mandatory check to avoid cluster creation failures.
Basic and Standard A-series VMs Retirement.
- On 31 August 2024, we'll retire Basic and Standard A-series VMs. Before that date, you need to migrate your workloads to Av2-series VMs, which provide more memory per vCPU and faster storage on solid-state drives (SSDs). To avoid service disruptions, migrate your workloads from Basic and Standard A-series VMs to Av2-series VMs before 31 August 2024.
Non-ESP ABFS clusters [Cluster Permissions for World Readable]
- Plan to introduce a change in non-ESP ABFS clusters, which restricts non-Hadoop group users from executing Hadoop commands for storage operations. This change to improve cluster security posture. Customers need to plan for the updates.

Release date: February 28, 2023

This release applies to HDInsight 4.0. and 5.0, 5.1. HDInsight release is available to all regions over several days. This release is applicable for image number 2302250400. How to check the image number?

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

For workload specific versions, see

HDInsight 5.x component versions

Important

Microsoft has issued CVE-2023-23408, which is fixed on the current release and customers are advised to upgrade their clusters to latest image.

HDInsight 5.1

We have started rolling out a new version of HDInsight 5.1. All new open-source releases added as incremental releases on HDInsight 5.1.

For more information, see HDInsight 5.1.0 version

Kafka 3.2.0 Upgrade (Preview)

Kafka 3.2.0 includes several significant new features/improvements.
- Upgraded Zookeeper to 3.6.3
- Kafka Streams support
- Stronger delivery guarantees for the Kafka producer enabled by default.
- log4j 1.x replaced with reload4j.
- Send a hint to the partition leader to recover the partition.
- JoinGroupRequest and LeaveGroupRequest have a reason attached.
- Added Broker count metrics8.
- Mirror Maker2 improvements.

HBase 2.4.11 Upgrade (Preview)

This version has new features such as the addition of new caching mechanism types for block cache, the ability to alter hbase:meta table and view the hbase:meta table from the HBase WEB UI.

Phoenix 5.1.2 Upgrade (Preview)

Phoenix version upgraded to 5.1.2 in this release. This upgrade includes the Phoenix Query Server. The Phoenix Query Server proxies the standard Phoenix JDBC driver and provides a backwards-compatible wire protocol to invoke that JDBC driver.

Ambari CVEs

Multiple Ambari CVEs are fixed.

Note

ESP isn't supported for Kafka and HBase in this release.

What's next

Autoscale
- Autoscale with improved latency and several improvements
Cluster name change limitation
- The max length of cluster name changes to 45 from 59 in Public, Azure China, and Azure Government.
Cluster permissions for secure storage
- Customers can specify (during cluster creation) whether a secure channel should be used for HDInsight cluster nodes to contact the storage account.
Non-ESP ABFS clusters [Cluster Permissions for World Readable]
- Plan to introduce a change in non-ESP ABFS clusters, which restricts non-Hadoop group users from executing Hadoop commands for storage operations. This change to improve cluster security posture. Customers need to plan for the updates.
Open-source upgrades
- Apache Spark 3.3.0 and Hadoop 3.3.4 are under development on HDInsight 5.1 and includes several significant new features, performance and other improvements.

Note

We advise customers to use to latest versions of HDInsight Images as they bring in the best of open source updates, Azure updates and security fixes. For more information, see Best practices.

Release date: December 12, 2022

This release applies to HDInsight 4.0. and 5.0 HDInsight release is made available to all regions over several days.

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

OS versions

HDInsight 4.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4
HDInsight 5.0: Ubuntu 18.04.5 LTS Linux Kernel 5.4

Log Analytics - Customers can enable classic monitoring to get the latest OMS version 14.19. To remove old versions, disable and enable classic monitoring.
Ambari user auto UI sign out due to inactivity. For more information, see here
Spark - A new and optimized version of Spark 3.1.3 is included in this release. We tested Apache Spark 3.1.2(previous version) and Apache Spark 3.1.3(current version) using the TPC-DS benchmark. The test was carried out using E8 V3 SKU, for Apache Spark on 1-TB workload. Apache Spark 3.1.3 (current version) outperformed Apache Spark 3.1.2 (previous version) by over 40% in total query runtime for TPC-DS queries using the same hardware specs. The Microsoft Spark team added optimizations available in Azure Synapse with Azure HDInsight. For more information, please refer to Speed up your data workloads with performance updates to Apache Spark 3.1.2 in Azure Synapse

Qatar Central
Germany North

HDInsight has moved away from Azul Zulu Java JDK 8 to Adoptium Temurin JDK 8, which supports high-quality TCK certified runtimes, and associated technology for use across the Java ecosystem.
HDInsight has migrated to reload4j. The log4j changes are applicable to
- Apache Hadoop
- Apache Zookeeper
- Apache Oozie
- Apache Ranger
- Apache Sqoop
- Apache Pig
- Apache Ambari
- Apache Kafka
- Apache Spark
- Apache Zeppelin
- Apache Livy
- Apache Rubix
- Apache Hive
- Apache Tez
- Apache HBase
- OMI
- Apache Pheonix

HDInsight to implement TLS1.2 going forward, and earlier versions are updated on the platform. If you're running any applications on top of HDInsight and they use TLS 1.0 and 1.1, upgrade to TLS 1.2 to avoid any disruption in services.

For more information, see How to enable Transport Layer Security (TLS)

End of support for Azure HDInsight clusters on Ubuntu 16.04 LTS from 30 November 2022. HDInsight begins release of cluster images using Ubuntu 18.04 from June 27, 2021. We recommend our customers who are running clusters using Ubuntu 16.04 is to rebuild their clusters with the latest HDInsight images by 30 November 2022.

For more information on how to check Ubuntu version of cluster, see here

Execute the command “lsb_release -a” in the terminal.
If the value for “Description” property in output is “Ubuntu 16.04 LTS”, then this update is applicable to the cluster.

Support for Availability Zones selection for Kafka and HBase (write access) clusters.

Open source bug fixes

Hive bug fixes

Bug Fixes	Apache JIRA
HIVE-26127	INSERT OVERWRITE error - File Not Found
HIVE-24957	Wrong results when subquery has COALESCE in correlation predicate
HIVE-24999	HiveSubQueryRemoveRule generates invalid plan for IN subquery with multiple correlations
HIVE-24322	If there is direct insert, the attempt ID has to be checked when reading the manifest fails
HIVE-23363	Upgrade DataNucleus dependency to 5.2
HIVE-26412	Create interface to fetch available slots and add the default
HIVE-26173	Upgrade derby to 10.14.2.0
HIVE-25920	Bump `Xerce2` to 2.12.2.
HIVE-26300	Upgrade Jackson data bind version to 2.12.6.1+ to avoid CVE-2020-36518

Release date: 08/10/2022

This release applies to HDInsight 4.0. HDInsight release is made available to all regions over several days.

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

New Feature

1. Attach external disks in HDI Hadoop/Spark clusters

HDInsight cluster comes with predefined disk space based on SKU. This space might not be sufficient in large job scenarios.

This new feature allows you to add more disks in cluster, which used as node manager local directory. Add number of disks to worker nodes during HIVE and Spark cluster creation, while the selected disks are part of node manager’s local directories.

Note

The added disks are only configured for node manager local directories.

For more information, see here

2. Selective logging analysis

Selective logging analysis is now available on all regions for public preview. You can connect your cluster to a log analytics workspace. Once enabled, you can see the logs and metrics like HDInsight Security Logs, Yarn Resource Manager, System Metrics etc. You can monitor workloads and see how they're affecting cluster stability. Selective logging allows you to enable/disable all the tables or enable selective tables in log analytics workspace. You can adjust the source type for each table, since in new version of Geneva monitoring one table has multiple sources.

The Geneva monitoring system uses mdsd(MDS daemon) which is a monitoring agent and fluentd for collecting logs using unified logging layer.
Selective Logging uses script action to disable/enable tables and their log types. Since it doesn't open any new ports or change any existing security setting hence, there are no security changes.
Script Action runs in parallel on all specified nodes and changes the configuration files for disabling/enabling tables and their log types.

For more information, see here

Fixed

Log analytics

Log Analytics integrated with Azure HDInsight running OMS version 13 requires an upgrade to OMS version 14 to apply the latest security updates. Customers using older version of cluster with OMS version 13 need to install OMS version 14 to meet the security requirements. (How to check current version & Install 14)

How to check your current OMS version

Sign in to the cluster using SSH.
Run the following command in your SSH Client.

sudo /opt/omi/bin/ominiserver/ --version

Screenshot showing how to check OMS Upgrade.

How to upgrade your OMS version from 13 to 14

Sign in to the Azure portal
From the resource group, select the HDInsight cluster resource
Select Script actions
From Submit script action panel, choose Script type as custom
Paste the following link in the Bash script URL box https://hdiconfigactions.blob.core.windows.net/log-analytics-patch/OMSUPGRADE14.1/omsagent-vulnerability-fix-1.14.12-0.sh
Select Node type(s)
Select Create

Screenshot showing how to do OMS Upgrade.

Verify the successful installation of the patch using the following steps:
Sign in to the cluster using SSH.
Run the following command in your SSH Client.

sudo /opt/omi/bin/ominiserver/ --version

Other bug fixes

Yarn log’s CLI failed to retrieve the logs if any TFile is corrupt or empty.
Resolved invalid service principal details error while getting the OAuth token from Azure Active Directory.
Improved cluster creation reliability when 100+ worked nodes are configured.

Open source bug fixes

TEZ bug fixes

Bug Fixes	Apache JIRA
Tez Build Failure: FileSaver.js not found	TEZ-4411
Wrong FS Exception when warehouse and `scratchdir` are on different FS	TEZ-4406
TezUtils.createConfFromByteString on Configuration larger than 32 MB throws com.google.protobuf.CodedInputStream exception	TEZ-4142
TezUtils::createByteStringFromConf should use snappy instead of DeflaterOutputStream	TEZ-4113
Update protobuf dependency to 3.x	TEZ-4363

Hive bug fixes

Bug Fixes	Apache JIRA
Perf optimizations in ORC split-generation	HIVE-21457
Avoid reading table as ACID when table name is starting with "delta", but table isn't transactional and BI Split Strategy is used	HIVE-22582
Remove an FS#exists call from AcidUtils#getLogicalLength	HIVE-23533
Vectorized OrcAcidRowBatchReader.computeOffset and bucket optimization	HIVE-17917

Known issues

HDInsight is compatible with Apache HIVE 3.1.2. Due to a bug in this release, the Hive version is shown as 3.1.0 in hive interfaces. However, there's no impact on the functionality.

Release date: 08/10/2022

This release applies to HDInsight 4.0. HDInsight release is made available to all regions over several days.

HDInsight uses safe deployment practices, which involve gradual region deployment. It might take up to 10 business days for a new release or a new version to be available in all regions.

New Feature

1. Attach external disks in HDI Hadoop/Spark clusters

HDInsight cluster comes with predefined disk space based on SKU. This space might not be sufficient in large job scenarios.

This new feature allows you to add more disks in cluster, which will be used as node manager local directory. Add number of disks to worker nodes during HIVE and Spark cluster creation, while the selected disks are part of node manager’s local directories.

Note

The added disks are only configured for node manager local directories.

For more information, see here

2. Selective logging analysis

The Geneva monitoring system uses mdsd(MDS daemon) which is a monitoring agent and fluentd for collecting logs using unified logging layer.
Selective Logging uses script action to disable/enable tables and their log types. Since it doesn't open any new ports or change any existing security setting hence, there are no security changes.
Script Action runs in parallel on all specified nodes and changes the configuration files for disabling/enabling tables and their log types.

For more information, see here

Fixed

Log analytics

How to check your current OMS version

Log in to the cluster using SSH.
Run the following command in your SSH Client.

sudo /opt/omi/bin/ominiserver/ --version

Screenshot showing how to check OMS Upgrade.

How to upgrade your OMS version from 13 to 14

Sign in to the Azure portal
From the resource group, select the HDInsight cluster resource
Select Script actions
From Submit script action panel, choose Script type as custom
Paste the following link in the Bash script URL box https://hdiconfigactions.blob.core.windows.net/log-analytics-patch/OMSUPGRADE14.1/omsagent-vulnerability-fix-1.14.12-0.sh
Select Node type(s)
Select Create

Screenshot showing how to do OMS Upgrade.

Verify the successful installation of the patch using the following steps:
Sign in to the cluster using SSH.
Run the following command in your SSH Client.

sudo /opt/omi/bin/ominiserver/ --version

Other bug fixes

Yarn log’s CLI failed to retrieve the logs if any TFile is corrupt or empty.
Resolved invalid service principal details error while getting the OAuth token from Azure Active Directory.
Improved cluster creation reliability when 100+ worked nodes are configured.

Open source bug fixes

TEZ bug fixes

Bug Fixes	Apache JIRA
Tez Build Failure: FileSaver.js not found	TEZ-4411
Wrong FS Exception when warehouse and `scratchdir` are on different FS	TEZ-4406
TezUtils.createConfFromByteString on Configuration larger than 32 MB throws com.google.protobuf.CodedInputStream exception	TEZ-4142
TezUtils::createByteStringFromConf should use snappy instead of DeflaterOutputStream	TEZ-4113
Update protobuf dependency to 3.x	TEZ-4363

Hive bug fixes

Bug Fixes	Apache JIRA
Perf optimizations in ORC split-generation	HIVE-21457
Avoid reading table as ACID when table name is starting with "delta", but table isn't transactional and BI Split Strategy is used	HIVE-22582
Remove an FS#exists call from AcidUtils#getLogicalLength	HIVE-23533
Vectorized OrcAcidRowBatchReader.computeOffset and bucket optimization	HIVE-17917

Known issues

HDInsight is compatible with Apache HIVE 3.1.2. Due to a bug in this release, the Hive version is shown as 3.1.0 in hive interfaces. However, there's no impact on the functionality.

Release date: 06/03/2022

This release applies for HDInsight 4.0. HDInsight release is made available to all regions over several days. The release date here indicates the first region release date. If you don't see following changes, wait for the release being live in your region over several days.

Release highlights

The Hive Warehouse Connector (HWC) on Spark v3.1.2

The Hive Warehouse Connector (HWC) allows you to take advantage of the unique features of Hive and Spark to build powerful big-data applications. HWC is currently supported for Spark v2.4 only. This feature adds business value by allowing ACID transactions on Hive Tables using Spark. This feature is useful for customers who use both Hive and Spark in their data estate. For more information, see Apache Spark & Hive - Hive Warehouse Connector - Azure HDInsight | Microsoft Docs

Ambari

Scaling and provisioning improvement changes
HDI hive is now compatible with OSS version 3.1.2

HDI Hive 3.1 version is upgraded to OSS Hive 3.1.2. This version has all fixes and features available in open source Hive 3.1.2 version.

Note

Spark

If you are using Azure User Interface to create Spark Cluster for HDInsight, you will see from the dropdown list an other version Spark 3.1.(HDI 5.0) along with the older versions. This version is a renamed version of Spark 3.1.(HDI 4.0). This is only an UI level change, which doesn’t impact anything for the existing users and users who are already using the ARM template.

Screenshot_of spark 3.1 for HDI 5.0.

Note

Interactive Query

If you are creating an Interactive Query Cluster, you will see from the dropdown list an other version as Interactive Query 3.1 (HDI 5.0).
If you are going to use Spark 3.1 version along with Hive which require ACID support, you need to select this version Interactive Query 3.1 (HDI 5.0).

Screenshot_of interactive query 3.1 for HDI 5.0.

TEZ bug fixes

Bug Fixes	Apache JIRA
TezUtils.createConfFromByteString on Configuration larger than 32 MB throws com.google.protobuf.CodedInputStream exception	TEZ-4142
TezUtils createByteStringFromConf should use snappy instead of DeflaterOutputStream	TEZ-4113

HBase bug fixes

Bug Fixes	Apache JIRA
TableSnapshotInputFormat should use ReadType.STREAM for scanning `HFiles`	HBASE-26273
Add option to disable scanMetrics in TableSnapshotInputFormat	HBASE-26330
Fix for ArrayIndexOutOfBoundsException when balancer is executed	HBASE-22739

Hive bug fixes

Bug Fixes	Apache JIRA
NPE when inserting data with 'distribute by' clause with dynpart sort optimization	HIVE-18284
MSCK REPAIR Command with Partition Filtering Fails While Dropping Partitions	HIVE-23851
Wrong exception thrown if capacity<=0	HIVE-25446
Support parallel load for HastTables - Interfaces	HIVE-25583
Include MultiDelimitSerDe in HiveServer2 By Default	HIVE-20619
Remove glassfish.jersey and mssql-jdbc classes from jdbc-standalone jar	HIVE-22134
Null pointer exception on running compaction against an MM table.	HIVE-21280
Hive query with large size via `knox` fails with Broken pipe Write failed	HIVE-22231
Adding ability for user to set bind user	HIVE-21009
Implement UDF to interpret date/timestamp using its internal representation and Gregorian-Julian hybrid calendar	HIVE-22241
Beeline option to show/not show execution report	HIVE-22204
Tez: SplitGenerator tries to look for plan files, which doesn't exist for Tez	HIVE-22169
Remove expensive logging from the LLAP cache `hotpath`	HIVE-22168
UDF: FunctionRegistry synchronizes on org.apache.hadoop.hive.ql.udf.UDFType class	HIVE-22161
Prevent the creation of query routing appender if property is set to false	HIVE-22115
Remove cross-query synchronization for the partition-eval	HIVE-22106
Skip setting up hive scratch dir during planning	HIVE-21182
Skip creating scratch dirs for tez if RPC is on	HIVE-21171
switch Hive UDFs to use `Re2J` regex engine	HIVE-19661
Migrated clustered tables using bucketing_version 1 on hive 3 uses bucketing_version 2 for inserts	HIVE-22429
Bucketing: Bucketing version 1 is incorrectly partitioning data	HIVE-21167
Adding ASF License header to the newly added file	HIVE-22498
Schema tool enhancements to support mergeCatalog	HIVE-22498
Hive with TEZ UNION ALL and UDTF results in data loss	HIVE-21915
Split text files even if header/footer exists	HIVE-21924
MultiDelimitSerDe returns wrong results in last column when the loaded file has more columns than the one is present in table schema	HIVE-22360
LLAP external client - Need to reduce LlapBaseInputFormat#getSplits() footprint	HIVE-22221
Column name with reserved keyword is unescaped when query including join on table with mask column is rewritten (Zoltan Matyus via Zoltan Haindrich)	HIVE-22208
Prevent LLAP shutdown on `AMReporter` related RuntimeException	HIVE-22113
LLAP status service driver might get stuck with wrong Yarn app ID	HIVE-21866
OperationManager.queryIdOperation doesn't properly clean up multiple queryIds	HIVE-22275
Bringing a node manager down blocks restart of LLAP service	HIVE-22219
StackOverflowError when drop lots of partitions	HIVE-15956
Access check is failed when a temporary directory is removed	HIVE-22273
Fix wrong results/ArrayOutOfBound exception in left outer map joins on specific boundary conditions	HIVE-22120
Remove distribution management tag from pom.xml	HIVE-19667
Parsing time can be high if there's deeply nested subqueries	HIVE-21980
For ALTER TABLE t SET TBLPROPERTIES ('EXTERNAL'='TRUE'); `TBL_TYPE` attribute changes not reflecting for non-CAPS	HIVE-20057
JDBC: HiveConnection shades `log4j` interfaces	HIVE-18874
Update repo URLs in `poms` - branch 3.1 version	HIVE-21786
`DBInstall` tests broken on master and branch-3.1	HIVE-21758
Load data into a bucketed table is ignoring partitions specs and loads data into default partition	HIVE-21564
Queries with join condition having timestamp or timestamp with local time zone literal throw SemanticException	HIVE-21613
Analyze compute stats for column leave behind staging dir on HDFS	HIVE-21342
Incompatible change in Hive bucket computation	HIVE-21376
Provide a fallback authorizer when no other authorizer is in use	HIVE-20420
Some alterPartitions invocations throw 'NumberFormatException: null'	HIVE-18767
HiveServer2: Preauthenticated subject for http transport isn't retained for entire duration of http communication in some cases	HIVE-20555

Release date: 03/10/2022

The OS versions for this release are:

HDInsight 4.0: Ubuntu 18.04.5

Spark 3.1 is now generally available

Spark 3.1 is now Generally Available on HDInsight 4.0 release. This release includes

Adaptive Query Execution,
Convert Sort Merge Join to Broadcast Hash Join,
Spark Catalyst Optimizer,
Dynamic Partition Pruning,
Customers will be able to create new Spark 3.1 clusters and not Spark 3.0 (preview) clusters.

For more information, see the Apache Spark 3.1 is now Generally Available on HDInsight - Microsoft Tech Community.

For a complete list of improvements, see the Apache Spark 3.1 release notes.

For more information on migration, see the migration guide.

Kafka 2.4 is now generally available

Kafka 2.4.1 is now Generally Available. For more information, please see Kafka 2.4.1 Release Notes. Other features include MirrorMaker 2 availability, new metric category AtMinIsr topic partition, Improved broker start-up time by lazy on demand mmap of index files, More consumer metrics to observe user poll behavior.

Map Datatype in HWC is now supported in HDInsight 4.0

This release includes Map Datatype Support for HWC 1.0 (Spark 2.4) Via the spark-shell application, and all other all spark clients that HWC supports. Following improvements are included like any other data types:

A user can

Create a Hive table with any column(s) containing Map datatype, insert data into it and read the results from it.
Create an Apache Spark dataframe with Map Type and do batch/stream reads and writes.

New regions

HDInsight has now expanded its geographical presence to two new regions: China East 3 and China North 3.

OSS backport changes

OSS backports that are included in Hive including HWC 1.0 (Spark 2.4) which supports Map data type.

Here are the OSS backported Apache JIRAs for this release:

Impacted Feature	Apache JIRA
Metastore direct sql queries with IN/(NOT IN) should be split based on max parameters allowed by SQL DB	HIVE-25659
Upgrade `log4j` 2.16.0 to 2.17.0	HIVE-25825
Update `Flatbuffer` version	HIVE-22827
Support Map data-type natively in Arrow format	HIVE-25553
LLAP external client - Handle nested values when the parent struct is null	HIVE-25243
Upgrade arrow version to 0.11.0	HIVE-23987

Deprecation notices

Azure Virtual Machine Scale Sets on HDInsight

HDInsight will no longer use Azure Virtual Machine Scale Sets to provision the clusters, no breaking change is expected. Existing HDInsight clusters on virtual machine scale sets have no impact, any new clusters on latest images will no longer use Virtual Machine Scale Sets.

Scaling of Azure HDInsight HBase workloads will now be supported only using manual scale

Starting from March 01, 2022, HDInsight will only support manual scale for HBase, there's no impact on running clusters. New HBase clusters won't be able to enable schedule based Autoscaling. For more information on how to  manually scale your HBase cluster, refer our documentation on Manually scaling Azure HDInsight clusters

Release date: 12/27/2021

The OS versions for this release are:

HDInsight 4.0: Ubuntu 18.04.5 LTS

HDInsight 4.0 image has been updated to mitigate Log4j vulnerability as described in Microsoft’s Response to CVE-2021-44228 Apache Log4j 2.

Note

Any HDI 4.0 clusters created post 27 Dec 2021 00:00 UTC are created with an updated version of the image which mitigates the log4j vulnerabilities. Hence, customers need not patch/reboot these clusters.
For new HDInsight 4.0 clusters created between 16 Dec 2021 at 01:15 UTC and 27 Dec 2021 00:00 UTC, HDInsight 3.6 or in pinned subscriptions after 16 Dec 2021 the patch is auto applied within the hour in which the cluster is created, however customers must then reboot their nodes for the patching to complete (except for Kafka Management nodes, which are automatically rebooted).

Release date: 07/27/2021

This release applies for both HDInsight 3.6 and HDInsight 4.0. HDInsight release is made available to all regions over several days. The release date here indicates the first region release date. If you don't see following changes, wait for the release being live in your region in several days.

The OS versions for this release are:

HDInsight 3.6: Ubuntu 16.04.7 LTS
HDInsight 4.0: Ubuntu 18.04.5 LTS

New features

Azure HDInsight support for Restricted Public Connectivity is generally available on Oct 15, 2021

Azure HDInsight now supports restricted public connectivity in all regions. Below are some of the key highlights of this capability:

Ability to reverse resource provider to cluster communication such that it's outbound from the cluster to the resource provider
Support for bringing your own Private Link enabled resources (For example, storage, SQL, key vault) for HDInsight cluster to access the resources over private network only
No public IP addresses are resource provisioned

By using this new capability, you can also skip the inbound network security group (NSG) service tag rules for HDInsight management IPs. Learn more about restricting public connectivity

Azure HDInsight support for Azure Private Link is generally available on Oct 15 2021

You can now use private endpoints to connect to your HDInsight clusters over private link. Private link can be used in cross VNET scenarios where VNET peering isn't available or enabled.

Azure Private Link enables you to access Azure PaaS Services (for example, Azure Storage and SQL Database) and Azure hosted customer-owned/partner services over a private endpoint in your virtual network.

Traffic between your virtual network and the service travels the Microsoft backbone network. Exposing your service to the public internet is no longer necessary.

Let more at enable private link. 

New Azure Monitor integration experience (Preview)

The new Azure monitor integration experience will be Preview in East US and West Europe with this release. Learn more details about the new Azure monitor experience here.

Deprecation

HDInsight 3.6 version is deprecated effective Oct 01, 2022.

Behavior changes

HDInsight Interactive Query only supports schedule-based Autoscale

As customer scenarios grow more mature and diverse, we've identified some limitations with Interactive Query (LLAP) load-based Autoscale. These limitations are caused by the nature of LLAP query dynamics, future load prediction accuracy issues, and issues in the LLAP scheduler's task redistribution. Due to these limitations, users might see their queries run slower on LLAP clusters when Autoscale is enabled. The effect on performance can outweigh the cost benefits of Autoscale.

Starting from July 2021, the Interactive Query workload in HDInsight only supports schedule-based Autoscale. You can no longer enable load-based autoscale on new Interactive Query clusters. Existing running clusters can continue to run with the known limitations described above.

Microsoft recommends that you move to a schedule-based Autoscale for LLAP. You can analyze your cluster's current usage pattern through the Grafana Hive dashboard. For more information, see Automatically scale Azure HDInsight clusters.

Upcoming changes

The following changes happen in upcoming releases.

Built-in LLAP component in ESP Spark cluster will be removed

HDInsight 4.0 ESP Spark cluster has built-in LLAP components running on both head nodes. The LLAP components in ESP Spark cluster were originally added for HDInsight 3.6 ESP Spark, but has no real user case for HDInsight 4.0 ESP Spark. In the next release scheduled in Sep 2021, HDInsight will remove the built-in LLAP component from HDInsight 4.0 ESP Spark cluster. This change helps to offload head node workload and avoid confusion between ESP Spark and ESP Interactive Hive cluster type.

New region

West US 3
Jio India West
Australia Central

Component version change

The following component version has been changed with this release:

ORC version from 1.5.1 to 1.5.9

You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Back ported JIRAs

Here are the back ported Apache JIRAs for this release:

Impacted Feature	Apache JIRA
Date / Timestamp	HIVE-25104
	HIVE-24074
	HIVE-22840
	HIVE-22589
	HIVE-22405
	HIVE-21729
	HIVE-21291
	HIVE-21290
UDF	HIVE-25268
	HIVE-25093
	HIVE-22099
	HIVE-24113
	HIVE-22170
	HIVE-22331
ORC	HIVE-21991
	HIVE-21815
	HIVE-21862
Table Schema	HIVE-20437
	HIVE-22941
	HIVE-21784
	HIVE-21714
	HIVE-18702
	HIVE-21799
	HIVE-21296
Workload Management	HIVE-24201
Compaction	HIVE-24882
	HIVE-23058
	HIVE-23046
Materialized view	HIVE-22566

Price Correction for HDInsight `Dv2` Virtual Machines

A pricing error was corrected on April 25, 2021, for the Dv2 VM series on HDInsight. The pricing error resulted in a reduced charge on some customer's bills prior to April 25, and with the correction, prices now match what had been advertised on the HDInsight pricing page and the HDInsight pricing calculator. The pricing error impacted customers in the following regions who used Dv2 VMs:

Canada Central
Canada East
East Asia
South Africa North
Southeast Asia
UAE Central

Starting on April 25, 2021, the corrected amount for the Dv2 VMs will be on your account. Customer notifications were sent to subscription owners prior to the change. You can use the Pricing calculator, HDInsight pricing page, or the Create HDInsight cluster blade in the Azure portal to see the corrected costs for Dv2 VMs in your region.

No other action is needed from you. The price correction will only apply for usage on or after April 25, 2021 in the specified regions, and not to any usage prior to this date. To ensure you have the most performant and cost-effective solution, we recommended that you review the pricing, VCPU, and RAM for your Dv2 clusters and compare the Dv2 specifications to the Ev3 VMs to see if your solution would benefit from utilizing one of the newer VM series.

Release date: 06/02/2021

The OS versions for this release are:

HDInsight 3.6: Ubuntu 16.04.7 LTS
HDInsight 4.0: Ubuntu 18.04.5 LTS

New features

OS version upgrade

As referenced in Ubuntu's release cycle, the Ubuntu 16.04 kernel reaches End of Life (EOL) in April 2021. We started rolling out the new HDInsight 4.0 cluster image running on Ubuntu 18.04 with this release. Newly created HDInsight 4.0 clusters run on Ubuntu 18.04 by default once available. Existing clusters on Ubuntu 16.04 runs as is with full support.

HDInsight 3.6 will continue to run on Ubuntu 16.04. It will change to Basic support (from Standard support) beginning 1 July 2021. For more information about dates and support options, see Azure HDInsight versions. Ubuntu 18.04 won't be supported for HDInsight 3.6. If you'd like to use Ubuntu 18.04, you'll need to migrate your clusters to HDInsight 4.0.

You need to drop and recreate your clusters if you'd like to move existing HDInsight 4.0 clusters to Ubuntu 18.04. Plan to create or recreate your clusters after Ubuntu 18.04 support becomes available.

After creating the new cluster, you can SSH to your cluster and run sudo lsb_release -a to verify that it runs on Ubuntu 18.04. We recommend that you test your applications in your test subscriptions first before moving to production.

Scaling optimizations on HBase accelerated writes clusters

HDInsight made some improvements and optimizations on scaling for HBase accelerated write enabled clusters. Learn more about HBase accelerated write.

Deprecation

No deprecation in this release.

Behavior changes

Disable Stardard_A5 VM size as Head Node for HDInsight 4.0

HDInsight cluster Head Node is responsible for initializing and managing the cluster. Standard_A5 VM size has reliability issues as Head Node for HDInsight 4.0. Starting from this release, customers won't be able to create new clusters with Standard_A5 VM size as Head Node. You can use other two-core VMs like E2_v3 or E2s_v3. Existing clusters will run as is. A four-core VM is highly recommended for Head Node to ensure the high availability and reliability of your production HDInsight clusters.

Network interface resource not visible for clusters running on Azure virtual machine scale sets

HDInsight is gradually migrating to Azure virtual machine scale sets. Network interfaces for virtual machines are no longer visible to customers for clusters that use Azure virtual machine scale sets.

Upcoming changes

The following changes will happen in upcoming releases.

HDInsight Interactive Query only supports schedule-based Autoscale

Starting from July 2021, the Interactive Query workload in HDInsight only supports schedule-based Autoscale. You can no longer enable Autoscale on new Interactive Query clusters. Existing running clusters can continue to run with the known limitations described above.

VM host naming will be changed on July 1, 2021

HDInsight now uses Azure virtual machines to provision the cluster. The service is gradually migrating to Azure virtual machine scale sets. This migration will change the cluster host name FQDN name format, and the numbers in the host name won't be guarantee in sequence. If you want to get the FQDN names for each node, refer to Find the Host names of Cluster Nodes.

Move to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. The service will gradually migrate to Azure virtual machine scale sets. The entire process might take months. After your regions and subscriptions are migrated, newly created HDInsight clusters will run on virtual machine scale sets without customer actions. No breaking change is expected.

Release date: 03/24/2021

New features

Spark 3.0 preview

HDInsight added Spark 3.0.0 support to HDInsight 4.0 as a Preview feature.

Kafka 2.4 preview

HDInsight added Kafka 2.4.1 support to HDInsight 4.0 as a Preview feature.

`Eav4`-series support

HDInsight added Eav4-series support in this release.

Moving to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. The service is gradually migrating to Azure virtual machine scale sets. The entire process might take months. After your regions and subscriptions are migrated, newly created HDInsight clusters will run on virtual machine scale sets without customer actions. No breaking change is expected.

Deprecation

No deprecation in this release.

Behavior changes

Default cluster version is changed to 4.0

The default version of HDInsight cluster is changed from 3.6 to 4.0. For more information about available versions, see available versions. Learn more about what is new in HDInsight 4.0.

Default cluster VM sizes are changed to `Ev3`-series

Default cluster VM sizes are changed from D-series to Ev3-series. This change applies to head nodes and worker nodes. To avoid this change impacting your tested workflows, specify the VM sizes that you want to use in the ARM template.

Network interface resource not visible for clusters running on Azure virtual machine scale sets

Upcoming changes

The following changes will happen in upcoming releases.

HDInsight Interactive Query only supports schedule-based Autoscale

As customer scenarios grow more mature and diverse, we've identified some limitations with Interactive Query (LLAP) load-based Autoscale. These limitations are caused by the nature of LLAP query dynamics, future load prediction accuracy issues, and issues in the LLAP scheduler's task redistribution. Due to these limitations, users might see their queries run slower on LLAP clusters when Autoscale is enabled. The impact on performance can outweigh the cost benefits of Autoscale.

OS version upgrade

HDInsight clusters are currently running on Ubuntu 16.04 LTS. As referenced in Ubuntu’s release cycle, the Ubuntu 16.04 kernel will reach End of Life (EOL) in April 2021. We’ll start rolling out the new HDInsight 4.0 cluster image running on Ubuntu 18.04 in May 2021. Newly created HDInsight 4.0 clusters will run on Ubuntu 18.04 by default once available. Existing clusters on Ubuntu 16.04 will run as is with full support.

HDInsight 3.6 will continue to run on Ubuntu 16.04. It will reach the end of standard support by 30 June 2021, and will change to Basic support starting on 1 July 2021. For more information about dates and support options, see Azure HDInsight versions. Ubuntu 18.04 won't be supported for HDInsight 3.6. If you’d like to use Ubuntu 18.04, you’ll need to migrate your clusters to HDInsight 4.0.

You need to drop and recreate your clusters if you’d like to move existing clusters to Ubuntu 18.04. Plan to create or recreate your cluster after Ubuntu 18.04 support becomes available. We’ll send another notification after the new image becomes available in all regions.

It’s highly recommended that you test your script actions and custom applications deployed on edge nodes on an Ubuntu 18.04 virtual machine (VM) in advance. You can create Ubuntu Linux VM on 18.04-LTS, then create and use a secure shell (SSH) key pair on your VM to run and test your script actions and custom applications deployed on edge nodes.

Disable Stardard_A5 VM size as Head Node for HDInsight 4.0

HDInsight cluster Head Node is responsible for initializing and managing the cluster. Standard_A5 VM size has reliability issues as Head Node for HDInsight 4.0. Starting from the next release in May 2021, customers won't be able to create new clusters with Standard_A5 VM size as Head Node. You can use other 2-core VMs like E2_v3 or E2s_v3. Existing clusters will run as is. A 4-core VM is highly recommended for Head Node to ensure the high availability and reliability of your production HDInsight clusters.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

Added support for Spark 3.0.0 and Kafka 2.4.1 as Preview. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 02/05/2021

New features

Dav4-series support

HDInsight added Dav4-series support in this release. Learn more about Dav4-series here.

Kafka REST Proxy GA

Kafka REST Proxy enables you to interact with your Kafka cluster via a REST API over HTTPS. Kafka REST Proxy is general available starting from this release. Learn more about Kafka REST Proxy here.

Moving to Azure virtual machine scale sets

Deprecation

Disabled VM sizes

Starting from January 9 2021, HDInsight will block all customers creating clusters using standand_A8, standand_A9, standand_A10 and standand_A11 VM sizes. Existing clusters will run as is. Consider moving to HDInsight 4.0 to avoid potential system/support interruption.

Behavior changes

Default cluster VM size changes to `Ev3`-series

Default cluster VM sizes will be changed from D-series to Ev3-series. This change applies to head nodes and worker nodes. To avoid this change impacting your tested workflows, specify the VM sizes that you want to use in the ARM template.

Network interface resource not visible for clusters running on Azure virtual machine scale sets

Upcoming changes

The following changes will happen in upcoming releases.

Default cluster version will be changed to 4.0

Starting February 2021, the default version of HDInsight cluster will be changed from 3.6 to 4.0. For more information about available versions, see available versions. Learn more about what is new in HDInsight 4.0.

OS version upgrade

HDInsight is upgrading OS version from Ubuntu 16.04 to 18.04. The upgrade will complete before April 2021.

HDInsight 3.6 end of support on June 30 2021

HDInsight 3.6 will be end of support. Starting from June 30 2021, customers can't create new HDInsight 3.6 clusters. Existing clusters will run as is without the support from Microsoft. Consider moving to HDInsight 4.0 to avoid potential system/support interruption.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 11/18/2020

New features

Auto key rotation for customer managed key encryption at rest

Starting from this release, customers can use Azure KeyValut version-less encryption key URLs for customer managed key encryption at rest. HDInsight will automatically rotate the keys as they expire or replaced with new versions. Learn more details here.

Ability to select different Zookeeper virtual machine sizes for Spark, Hadoop, and ML Services

HDInsight previously didn't support customizing Zookeeper node size for Spark, Hadoop, and ML Services cluster types. It defaults to A2_v2/A2 virtual machine sizes, which are provided free of charge. From this release, you can select a Zookeeper virtual machine size that is most appropriate for your scenario. Zookeeper nodes with virtual machine size other than A2_v2/A2 will be charged. A2_v2 and A2 virtual machines are still provided free of charge.

Moving to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. Starting from this release, the service will gradually migrate to Azure virtual machine scale sets. The entire process might take months. After your regions and subscriptions are migrated, newly created HDInsight clusters will run on virtual machine scale sets without customer actions. No breaking change is expected.

Deprecation

Deprecation of HDInsight 3.6 ML Services cluster

HDInsight 3.6 ML Services cluster type will be end of support by December 31 2020. Customers won't be able to create new 3.6 ML Services clusters after December 31 2020. Existing clusters will run as is without the support from Microsoft. Check the support expiration for HDInsight versions and cluster types here.

Disabled VM sizes

Starting from November 16 2020, HDInsight will block new customers creating clusters using standand_A8, standand_A9, standand_A10 and standand_A11 VM sizes. Existing customers who have used these VM sizes in the past three months won't be affected. Starting from January 9 2021, HDInsight will block all customers creating clusters using standand_A8, standand_A9, standand_A10 and standand_A11 VM sizes. Existing clusters will run as is. Consider moving to HDInsight 4.0 to avoid potential system/support interruption.

Behavior changes

Add NSG rule checking before scaling operation

HDInsight added network security groups (NSGs) and user-defined routes (UDRs) checking with scaling operation. The same validation is done for cluster scaling besides of cluster creation. This validation helps prevent unpredictable errors. If validation doesn't pass, scaling fails. Learn more about how to configure NSGs and UDRs correctly, refer to HDInsight management IP addresses.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 11/09/2020

New features

HDInsight Identity Broker (HIB) is now GA

HDInsight Identity Broker (HIB) that enables OAuth authentication for ESP clusters is now generally available with this release. HIB Clusters created after this release will have the latest HIB features:

High Availability (HA)
Support for Multifactor Authentication (MFA)
Federated users sign in with no password hash synchronization to AAD-DS For more information, see HIB documentation.

Moving to Azure virtual machine scale sets

Deprecation

Deprecation of HDInsight 3.6 ML Services cluster

HDInsight 3.6 ML Services cluster type will be end of support by December 31 2020. Customers won't create new 3.6 ML Services clusters after December 31 2020. Existing clusters will run as is without the support from Microsoft. Check the support expiration for HDInsight versions and cluster types here.

Disabled VM sizes

Behavior changes

No behavior change for this release.

Upcoming changes

The following changes will happen in upcoming releases.

Ability to select different Zookeeper virtual machine sizes for Spark, Hadoop, and ML Services

HDInsight today doesn't support customizing Zookeeper node size for Spark, Hadoop, and ML Services cluster types. It defaults to A2_v2/A2 virtual machine sizes, which are provided free of charge. In the upcoming release, you can select a Zookeeper virtual machine size that is most appropriate for your scenario. Zookeeper nodes with virtual machine size other than A2_v2/A2 will be charged. A2_v2 and A2 virtual machines are still provided free of charge.

Default cluster version will be changed to 4.0

Starting February 2021, the default version of HDInsight cluster will be changed from 3.6 to 4.0. For more information about available versions, see supported versions. Learn more about what is new in HDInsight 4.0

HDInsight 3.6 end of support on June 30 2021

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Fix issue for restarting VMs in cluster

The issue for restarting VMs in the cluster has been fixed, you can use PowerShell or REST API to reboot nodes in cluster again.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 10/08/2020

New features

HDInsight private clusters with no public IP and Private link (Preview)

HDInsight now supports creating clusters with no public IP and private link access to the clusters in preview. Customers can use the new advanced networking settings to create a fully isolated cluster with no public IP and use their own private endpoints to access the cluster.

Moving to Azure virtual machine scale sets

Deprecation

Deprecation of HDInsight 3.6 ML Services cluster

HDInsight 3.6 ML Services cluster type will be end of support by Dec 31 2020. Customers won't create new 3.6 ML Services clusters after that. Existing clusters will run as is without the support from Microsoft. Check the support expiration for HDInsight versions and cluster types here.

Behavior changes

No behavior change for this release.

Upcoming changes

The following changes will happen in upcoming releases.

Ability to select different Zookeeper virtual machine sizes for Spark, Hadoop, and ML Services

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 09/28/2020

New features

Autoscale for Interactive Query with HDInsight 4.0 is now generally available

Auto scale for Interactive Query cluster type is now General Available (GA) for HDInsight 4.0. All Interactive Query 4.0 clusters created after 27 August 2020 will have GA support for auto scale.

HBase cluster supports Premium ADLS Gen2

HDInsight now supports Premium ADLS Gen2 as primary storage account for HDInsight HBase 3.6 and 4.0 clusters. Together with Accelerated Writes, you can get better performance for your HBase clusters.

Kafka partition distribution on Azure fault domains

A fault domain is a logical grouping of underlying hardware in an Azure data center. Each fault domain shares a common power source and network switch. Before HDInsight Kafka might store all partition replicas in the same fault domain. Starting from this release, HDInsight now supports automatically distribution of Kafka partitions based on Azure fault domains.

Encryption in transit

Customers can enable encryption in transit between cluster nodes using IPSec encryption with platform-managed keys. This option can be enabled at the cluster creation time. See more details about how to enable encryption in transit.

Encryption at host

When you enable encryption at host, data stored on the VM host is encrypted at rest and flows encrypted to the storage service. From this release, you can Enable encryption at host on temp data disk when creating the cluster. Encryption at host is only supported on certain VM SKUs in limited regions. HDInsight supports the following node configuration and SKUs. See more details about how to enable encryption at host.

Moving to Azure virtual machine scale sets

Deprecation

No deprecation for this release.

Behavior changes

No behavior change for this release.

Upcoming changes

The following changes will happen in upcoming releases.

Ability to select different Zookeeper SKU for Spark, Hadoop, and ML Services

HDInsight today doesn't support changing Zookeeper SKU for Spark, Hadoop, and ML Services cluster types. It uses A2_v2/A2 SKU for Zookeeper nodes and customers aren't charged for them. In the upcoming release, customers can change Zookeeper SKU for Spark, Hadoop, and ML Services as needed. Zookeeper nodes with SKU other than A2_v2/A2 will be charged. The default SKU will still be A2_V2/A2 and free of charge.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 08/09/2020

This release applies only for HDInsight 4.0. HDInsight release is made available to all regions over several days. The release date here indicates the first region release date. If you don't see following changes, wait for the release being live in your region in several days.

New features

Support for SparkCruise

SparkCruise is an automatic computation reuse system for Spark. It selects common subexpressions to materialize based on the past query workload. SparkCruise materializes these subexpressions as part of query processing and computation reuse is automatically applied in the background. You can benefit from SparkCruise without any modification to the Spark code.

Support Hive View for HDInsight 4.0

Apache Ambari Hive View is designed to help you author, optimize, and execute Hive queries from your web browser. Hive View is supported natively for HDInsight 4.0 clusters starting from this release. It doesn't apply to existing clusters. You need drop and recreate the cluster to get the built-in Hive View.

Support Tez View for HDInsight 4.0

Apache Tez View is used to track and debug the execution of Hive Tez job. Tez View is supported natively for HDInsight 4.0 starting from this release. It doesn't apply to existing clusters. You need to drop and recreate the cluster to get the built-in Tez View.

Deprecation

Deprecation of Spark 2.1 and 2.2 in HDInsight 3.6 Spark cluster

Starting from July 1 2020, customers can't create new Spark clusters with Spark 2.1 and 2.2 on HDInsight 3.6. Existing clusters will run as is without the support from Microsoft. Consider to move to Spark 2.3 on HDInsight 3.6 by June 30 2020 to avoid potential system/support interruption.

Deprecation of Spark 2.3 in HDInsight 4.0 Spark cluster

Starting from July 1 2020, customers can't create new Spark clusters with Spark 2.3 on HDInsight 4.0. Existing clusters will run as is without the support from Microsoft. Consider moving to Spark 2.4 on HDInsight 4.0 by June 30 2020 to avoid potential system/support interruption.

Deprecation of Kafka 1.1 in HDInsight 4.0 Kafka cluster

Starting from July 1 2020, customers won't be able to create new Kafka clusters with Kafka 1.1 on HDInsight 4.0. Existing clusters will run as is without the support from Microsoft. Consider moving to Kafka 2.1 on HDInsight 4.0 by June 30 2020 to avoid potential system/support interruption.

Behavior changes

Ambari stack version change

In this release, the Ambari version changes from 2.x.x.x to 4.1. You can verify the stack version (HDInsight 4.1) in Ambari: Ambari > User > Versions.

Upcoming changes

No upcoming breaking changes that you need to pay attention to.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Below JIRAs are back ported for Hive:

Below JIRAs are back ported for HBase:

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Known issues

An issue has been fixed in the Azure portal, where users were experiencing an error when they were creating an Azure HDInsight cluster using an SSH authentication type of public key. When users clicked Review + Create, they would receive the error "Must not contain any three consecutive characters from SSH username." This issue has been fixed, but it might require that you refresh your browser cache by hitting CTRL + F5 to load the corrected view. The workaround to this issue was to create a cluster with an ARM template.

Release date: 07/13/2020

This release applies both for HDInsight 3.6 and 4.0. HDInsight release is made available to all regions over several days. The release date here indicates the first region release date. If you don't see following changes, wait for the release being live in your region in several days.

New features

Support for Customer Lockbox for Microsoft Azure

Azure HDInsight now supports Azure Customer Lockbox. It provides an interface for customers to review and approve, or reject customer data access requests. It's used when Microsoft engineer needs to access customer data during a support request. For more information, see Customer Lockbox for Microsoft Azure.

Service endpoint policies for storage

Customers can now use Service Endpoint Policies (SEP) on the HDInsight cluster subnet. Learn more about Azure service endpoint policy.

Deprecation

Deprecation of Spark 2.1 and 2.2 in HDInsight 3.6 Spark cluster

Deprecation of Spark 2.3 in HDInsight 4.0 Spark cluster

Deprecation of Kafka 1.1 in HDInsight 4.0 Kafka cluster

Behavior changes

No behavior changes you need to pay attention to.

Upcoming changes

The following changes will happen in upcoming releases.

Ability to select different Zookeeper SKU for Spark, Hadoop, and ML Services

HDInsight today doesn't support changing Zookeeper SKU for Spark, Hadoop, and ML Services cluster types. It uses A2_v2/A2 SKU for Zookeeper nodes and customers aren't charged for them. In the upcoming release, customers will be able to change Zookeeper SKU for Spark, Hadoop, and ML Services as needed. Zookeeper nodes with SKU other than A2_v2/A2 will be charged. The default SKU will still be A2_V2/A2 and free of charge.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Fixed Hive Warehouse Connector issue

There was an issue for Hive Warehouse connector usability in previous release. The issue has been fixed.

Fixed Zeppelin notebook truncates leading zeros issue

Zeppelin was incorrectly truncating leading zeros in the table output for String format. We've fixed this issue in this release.

Component version change

No component version change for this release. You can find the current component versions for HDInsight 4.0 and HDInsight 3.6 in this doc.

Release date: 06/11/2020

New features

Moving to Azure virtual machine scale sets

HDInsight uses Azure virtual machines to provision the cluster now. From this release, new-created HDInsight clusters start using Azure virtual machine scale set. The change is rolling out gradually. You should expect no breaking change. See more about Azure virtual machine scale sets.

Reboot VMs in HDInsight cluster

In this release, we support rebooting VMs in HDInsight cluster to reboot unresponsive nodes. Currently you can only do it through API, PowerShell and CLI support is on the way. For more information about the API, see this doc.

Deprecation

Deprecation of Spark 2.1 and 2.2 in HDInsight 3.6 Spark cluster

Deprecation of Spark 2.3 in HDInsight 4.0 Spark cluster

Deprecation of Kafka 1.1 in HDInsight 4.0 Kafka cluster

Behavior changes

ESP Spark cluster head node size change

The minimum allowed head node size for ESP Spark cluster is changed to Standard_D13_V2. VMs with low cores and memory as head node could cause ESP cluster issues because of relatively low CPU and memory capacity. Starting from release, use SKUs higher than Standard_D13_V2 and Standard_E16_V3 as head node for ESP Spark clusters.

A minimum 4-core VM is required for Head Node

A minimum 4-core VM is required for Head Node to ensure the high availability and reliability of HDInsight clusters. Starting from April 6 2020, customers can only choose 4-core or above VM as Head Node for the new HDInsight clusters. Existing clusters will continue to run as expected.

Cluster worker node provisioning change

When 80% of the worker nodes are ready, the cluster enters operational stage. At this stage, customers can do all the data plane operations like running scripts and jobs. But customers can't do any control plane operation like scaling up/down. Only deletion is supported.

After the operational stage, the cluster waits another 60 minutes for the remaining 20% worker nodes. At the end of this 60 minute period, the cluster moves to the running stage, even if all of worker nodes are still not available. Once a cluster enters the running stage, you can use it as normal. Both control plan operations like scaling up/down, and data plan operations like running scripts and jobs are accepted. If some of the requested worker nodes aren't available, the cluster will be marked as partial success. You are charged for the nodes that were deployed successfully.

Create new service principal through HDInsight

Previously, with cluster creation, customers can create a new service principal to access the connected ADLS Gen 1 account in Azure portal. Starting June 15, 2020, new service principal creation is not possible in the HDInsight creation workflow, only existing service principal is supported. See Create Service Principal and Certificates using Azure Active Directory.

Time out for script actions with cluster creation

HDInsight supports running script actions with cluster creation. From this release, all script actions with cluster creation must finish within 60 minutes, or they time out. Script actions submitted to running clusters aren't impacted. Learn more details here.

Upcoming changes

No upcoming breaking changes that you need to pay attention to.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

HBase 2.0 to 2.1.6

HBase version is upgraded from version 2.0 to 2.1.6.

Spark 2.4.0 to 2.4.4

Spark version is upgraded from version 2.4.0 to 2.4.4.

Kafka 2.1.0 to 2.1.1

Kafka version is upgraded from version 2.1.0 to 2.1.1.

You can find the current component versions for HDInsight 4.0 ad HDInsight 3.6 in this doc

Known issues

Hive Warehouse Connector issue

There's an issue for Hive Warehouse Connector in this release. The fix will be included in the next release. Existing clusters created before this release aren't impacted. Avoid dropping and recreating the cluster if possible. Open support ticket if you need further help on this.

Release date: 01/09/2020

New features

TLS 1.2 enforcement

Transport Layer Security (TLS) and Secure Sockets Layer (SSL) are cryptographic protocols that provide communications security over a computer network. Learn more about TLS. HDInsight uses TLS 1.2 on public HTTP's endpoints but TLS 1.1 is still supported for backward compatibility.

With this release, customers can opt into TLS 1.2 only for all connections through the public cluster endpoint. To support this, the new property minSupportedTlsVersion is introduced and can be specified during cluster creation. If the property isn't set, the cluster still supports TLS 1.0, 1.1 and 1.2, which is the same as today's behavior. Customers can set the value for this property to "1.2", which means that the cluster only supports TLS 1.2 and above. For more information, see Transport Layer Security.

Bring your own key for disk encryption

All managed disks in HDInsight are protected with Azure Storage Service Encryption (SSE). Data on those disks is encrypted by Microsoft-managed keys by default. Starting from this release, you can Bring Your Own Key (BYOK) for disk encryption and manage it using Azure Key Vault. BYOK encryption is a one-step configuration during cluster creation with no other cost. Just register HDInsight as a managed identity with Azure Key Vault and add the encryption key when you create your cluster. For more information, see Customer-managed key disk encryption.

Deprecation

No deprecations for this release. To get ready for upcoming deprecations, see Upcoming changes.

Behavior changes

No behavior changes for this release. To get ready for upcoming changes, see Upcoming changes.

Upcoming changes

The following changes will happen in upcoming releases.

Deprecation of Spark 2.1 and 2.2 in HDInsight 3.6 Spark cluster

Starting July 1, 2020, customers won't be able to create new Spark clusters with Spark 2.1 and 2.2 on HDInsight 3.6. Existing clusters will run as is without support from Microsoft. Consider moving to Spark 2.3 on HDInsight 3.6 by June 30, 2020 to avoid potential system/support interruption.

Deprecation of Spark 2.3 in HDInsight 4.0 Spark cluster

Starting July 1, 2020, customers won't be able to create new Spark clusters with Spark 2.3 on HDInsight 4.0. Existing clusters will run as is without support from Microsoft. Consider moving to Spark 2.4 on HDInsight 4.0 by June 30, 2020 to avoid potential system/support interruption.

Deprecation of Kafka 1.1 in HDInsight 4.0 Kafka cluster

Starting July 1 2020, customers won't be able to create new Kafka clusters with Kafka 1.1 on HDInsight 4.0. Existing clusters will run as is without support from Microsoft. Consider moving to Kafka 2.1 on HDInsight 4.0 by June 30 2020 to avoid potential system/support interruption. For more information, see Migrate Apache Kafka workloads to Azure HDInsight 4.0.

HBase 2.0 to 2.1.6

In the upcoming HDInsight 4.0 release, HBase version will be upgraded from version 2.0 to 2.1.6

Spark 2.4.0 to 2.4.4

In the upcoming HDInsight 4.0 release, Spark version will be upgraded from version 2.4.0 to 2.4.4

Kafka 2.1.0 to 2.1.1

In the upcoming HDInsight 4.0 release, Kafka version will be upgraded from version 2.1.0 to 2.1.1

A minimum 4-core VM is required for Head Node

ESP Spark cluster node size change

In the upcoming release, the minimum allowed node size for ESP Spark cluster will be changed to Standard_D13_V2. A-series VMs could cause ESP cluster issues because of relatively low CPU and memory capacity. A-series VMs will be deprecated for creating new ESP clusters.

Moving to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. In the upcoming release, HDInsight will use Azure virtual machine scale sets instead. See more about Azure virtual machine scale sets.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

No component version change for this release. You could find the current component versions for HDInsight 4.0 ad HDInsight 3.6 here.

Release date: 12/17/2019

This release applies both for HDInsight 3.6 and 4.0.

New features

Service tags

Service tags simplify security for Azure virtual machines and Azure virtual networks by enabling you to easily restrict network access to the Azure services. You can use service tags in your network security group (NSG) rules to allow or deny traffic to a specific Azure service globally or per Azure region. Azure provides the maintenance of IP addresses underlying each tag. HDInsight service tags for network security groups (NSGs) are groups of IP addresses for health and management services. These groups help minimize complexity for security rule creation. HDInsight customers can enable service tag through Azure portal, PowerShell, and REST API. For more information, see Network security group (NSG) service tags for Azure HDInsight.

Custom Ambari DB

HDInsight now allows you to use your own SQL DB for Apache Ambari. You can configure this custom Ambari DB from the Azure portal or through Resource Manager template. This feature allows you to choose the right SQL DB for your processing and capacity needs. You can also upgrade easily to match business growth requirements. For more information, see Set up HDInsight clusters with a custom Ambari DB.

Custom Ambari DB.

Deprecation

No deprecations for this release. To get ready for upcoming deprecations, see Upcoming changes.

Behavior changes

No behavior changes for this release. To get ready for upcoming behavior changes, see Upcoming changes.

Upcoming changes

The following changes will happen in upcoming releases.

Transport Layer Security (TLS) 1.2 enforcement

Transport Layer Security (TLS) and Secure Sockets Layer (SSL) are cryptographic protocols that provide communications security over a computer network. For more information, see Transport Layer Security. While Azure HDInsight clusters accept TLS 1.2 connections on public HTTPS endpoints, TLS 1.1 is still supported for backward compatibility with older clients.

Starting from the next release, you will be able to opt in and configure your new HDInsight clusters to only accept TLS 1.2 connections.

Later in the year, starting on 6/30/2020, Azure HDInsight will enforce TLS 1.2 or later versions for all HTTPS connections. We recommend that you ensure that all your clients are ready to handle TLS 1.2 or later versions.

Moving to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. Starting from February 2020 (exact date will be communicated later), HDInsight will use Azure virtual machine scale sets instead. See more about Azure virtual machine scale sets.

ESP Spark cluster node size change

In the upcoming release:

The minimum allowed node size for ESP Spark cluster will be changed to Standard_D13_V2.
A-series VMs will be deprecated for creating new ESP clusters, as A-series VMs could cause ESP cluster issues because of relatively low CPU and memory capacity.

HBase 2.0 to 2.1

In the upcoming HDInsight 4.0 release, HBase version will be upgraded from version 2.0 to 2.1.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

We've extended HDInsight 3.6 support to December 31, 2020. You can find more details in Supported HDInsight versions.

No component version change for HDInsight 4.0.

Apache Zeppelin on HDInsight 3.6: 0.7.0-->0.7.3.

You can find the most up-to-date component versions from this doc.

New Regions

UAE North

The management IPs of UAE North are: 65.52.252.96 and 65.52.252.97.

Release date: 11/07/2019

This release applies both for HDInsight 3.6 and 4.0.

New features

HDInsight Identity Broker (HIB) (Preview)

HDInsight Identity Broker (HIB) enables users to sign in to Apache Ambari using multifactor authentication (MFA) and get the required Kerberos tickets without needing password hashes in Azure Active Directory Domain Services (AAD-DS). Currently HIB is only available for clusters deployed through Azure Resource Management (ARM) template.

Kafka REST API Proxy (Preview)

Kafka REST API Proxy provides one-click deployment of highly available REST proxy with Kafka cluster via secured Azure AD authorization and OAuth protocol.

Auto scale

Autoscale for Azure HDInsight is now generally available across all regions for Apache Spark and Hadoop cluster types. This feature makes it possible to manage big data analytics workloads in a more cost-efficient and productive way. Now you can optimize use of your HDInsight clusters and only pay for what you need.

Depending on your requirements, you can choose between load-based and schedule-based autoscaling. Load-based Autoscale can scale the cluster size up and down based on the current resource needs while schedule-based Autoscale can change the cluster size based on a predefined schedule.

Autoscale support for HBase and LLAP workload is also public preview. For more information, see Automatically scale Azure HDInsight clusters.

HDInsight Accelerated Writes for Apache HBase

Accelerated Writes uses Azure premium SSD managed disks to improve performance of the Apache HBase Write Ahead Log (WAL). For more information, see Azure HDInsight Accelerated Writes for Apache HBase.

Custom Ambari DB

HDInsight now offers a new capacity to enable customers to use their own SQL DB for Ambari. Now customers can choose the right SQL DB for Ambari and easily upgrade it based on their own business growth requirement. The deployment is done with an Azure Resource Manager template. For more information, see Set up HDInsight clusters with a custom Ambari DB.

F-series virtual machines are now available with HDInsight

F-series virtual machines(VMs) is a good choice to get started with HDInsight with light processing requirements. At a lower per-hour list price, the F-series are the best value in price-performance in the Azure portfolio based on the Azure Compute Unit (ACU) per vCPU. For more information, see Selecting the right VM size for your Azure HDInsight cluster.

Deprecation

G-series virtual machine deprecation

From this release, G-series VMs are no longer offered in HDInsight.

`Dv1` virtual machine deprecation

From this release, the use of Dv1 VMs with HDInsight is deprecated. Any customer request for Dv1 will be served with Dv2 automatically. There's no price difference between Dv1 and Dv2 VMs.

Behavior changes

Cluster managed disk size change

HDInsight provides managed disk space with the cluster. From this release, the managed disk size of each node in the new created cluster is changed to 128 GB.

Upcoming changes

The following changes will happen in the upcoming releases.

Moving to Azure virtual machine scale sets

HDInsight now uses Azure virtual machines to provision the cluster. Starting from December, HDInsight will use Azure virtual machine scale sets instead. See more about Azure virtual machine scale sets.

HBase 2.0 to 2.1

In the upcoming HDInsight 4.0 release, HBase version will be upgraded from version 2.0 to 2.1.

A-series virtual machine deprecation for ESP cluster

A-series VMs could cause ESP cluster issues due to relatively low CPU and memory capacity. In the upcoming release, A-series VMs will be deprecated for creating new ESP clusters.

Bug fixes

HDInsight continues to make cluster reliability and performance improvements.

Component version change

There's no component version change for this release. You could find the current component versions for HDInsight 4.0 and HDInsight 3.6 here.

Release Date: 08/07/2019

Component versions

The official Apache versions of all HDInsight 4.0 components are given below. The components listed are releases of the most recent stable versions available.

Apache Ambari 2.7.1
Apache Hadoop 3.1.1
Apache HBase 2.0.0
Apache Hive 3.1.0
Apache Kafka 1.1.1, 2.1.0
Apache Mahout 0.9.0+
Apache Oozie 4.2.0
Apache Phoenix 4.7.0
Apache Pig 0.16.0
Apache Ranger 0.7.0
Apache Slider 0.92.0
Apache Spark 2.3.1, 2.4.0
Apache Sqoop 1.4.7
Apache TEZ 0.9.1
Apache Zeppelin 0.8.0
Apache ZooKeeper 3.4.6

Later versions of Apache components are sometimes bundled in the HDP distribution in addition to the versions listed above. In this case, these later versions are listed in the Technical Previews table and shouldn't substitute for the Apache component versions of the above list in a production environment.

Apache patch information

For more information on patches available in HDInsight 4.0, see the patch listing for each product in the table below.

Product name	Patch information
Ambari	Ambari patch information
Hadoop	Hadoop patch information
HBase	HBase patch information
Hive	This release provides Hive 3.1.0 with no more Apache patches.
Kafka	This release provides Kafka 1.1.1 with no more Apache patches.
Oozie	Oozie patch information
Phoenix	Phoenix patch information
Pig	Pig patch information
Ranger	Ranger patch information
Spark	Spark patch information
Sqoop	This release provides Sqoop 1.4.7 with no more Apache patches.
Tez	This release provides Tez 0.9.1 with no more Apache patches.
Zeppelin	This release provides Zeppelin 0.8.0 with no more Apache patches.
Zookeeper	Zookeeper patch information

Fixed Common Vulnerabilities and Exposures

For more information on security issues resolved in this release, see Hortonworks' Fixed Common Vulnerabilities and Exposures for HDP 3.0.1.

Known issues

Replication is broken for Secure HBase with default installation

For HDInsight 4.0, do the following steps:

Enable inter-cluster communication.
Sign in to the active headnode.

Download a script to enable replication with the following command:

sudo wget https://raw.githubusercontent.com/Azure/hbase-utils/master/replication/hdi_enable_replication.sh

Type the command sudo kinit <domainuser>.

Type the following command to run the script:

sudo bash hdi_enable_replication.sh -m <hn*> -s <srclusterdns> -d <dstclusterdns> -sp <srcclusterpasswd> -dp <dstclusterpasswd> -copydata

For HDInsight 3.6

Download a script to enable replication with the following command:

sudo wget https://raw.githubusercontent.com/Azure/hbase-utils/master/replication/hdi_enable_replication.sh

Type the command sudo kinit -k -t /etc/security/keytabs/hbase.service.keytab hbase/<FQDN>@<DOMAIN>.

Type the following command:

sudo bash hdi_enable_replication.sh -s <srclusterdns> -d <dstclusterdns> -sp <srcclusterpasswd> -dp <dstclusterpasswd> -copydata

Phoenix Sqlline stops working after migrating HBase cluster to HDInsight 4.0

Do the following steps:

Drop the following Phoenix tables:
1. SYSTEM.FUNCTION
2. SYSTEM.SEQUENCE
3. SYSTEM.STATS
4. SYSTEM.MUTEX
5. SYSTEM.CATALOG
If you can't delete any of the tables, restart HBase to clear any connections to the tables.
Run sqlline.py again. Phoenix will re-create all of the tables that were deleted in step 1.
Regenerate Phoenix tables and views for your HBase data.

Phoenix Sqlline stops working after replicating HBase Phoenix metadata from HDInsight 3.6 to 4.0

Do the following steps:

Before doing the replication, go to the destination 4.0 cluster and execute sqlline.py. This command will generate Phoenix tables like SYSTEM.MUTEX and SYSTEM.LOG that only exist in 4.0.
Drop the following tables:
1. SYSTEM.FUNCTION
2. SYSTEM.SEQUENCE
3. SYSTEM.STATS
4. SYSTEM.CATALOG
Start the HBase replication

Deprecation

Apache Storm and ML services aren't available in HDInsight 4.0.

Release Date: 04/14/2019

New features

The new updates and capabilities fall in to the following categories:

Update Hadoop and other open-source projects – In addition to 1000+ bug fixes across 20+ open-source projects, this update contains a new version of Spark (2.3) and Kafka (1.0).

a. New features in Apache Spark 2.3

b. New features in Apache Kafka 1.0
Update R Server 9.1 to Machine Learning Services 9.3 – With this release, we're providing data scientists and engineers with the best of open source enhanced with algorithmic innovations and ease of operationalization, all available in their preferred language with the speed of Apache Spark. This release expands upon the capabilities offered in R Server with added support for Python, leading to the cluster name change from R Server to ML Services.
Support for Azure Data Lake Storage Gen2 – HDInsight will support the Preview release of Azure Data Lake Storage Gen2. In the available regions, customers will be able to choose an ADLS Gen2 account as the Primary or Secondary store for their HDInsight clusters.
HDInsight Enterprise Security Package Updates (Preview) – (Preview) Virtual Network Service Endpoints support for Azure Blob Storage, ADLS Gen1, Azure Cosmos DB, and Azure DB.

Component versions

The official Apache versions of all HDInsight 3.6 components are listed below. All components listed here are official Apache releases of the most recent stable versions available.

Apache Hadoop 2.7.3
Apache HBase 1.1.2
Apache Hive 1.2.1
Apache Hive 2.1.0
Apache Kafka 1.0.0
Apache Mahout 0.9.0+
Apache Oozie 4.2.0
Apache Phoenix 4.7.0
Apache Pig 0.16.0
Apache Ranger 0.7.0
Apache Slider 0.92.0
Apache Spark 2.2.0/2.3.0
Apache Sqoop 1.4.6
Apache Storm 1.1.0
Apache TEZ 0.7.0
Apache Zeppelin 0.7.3
Apache ZooKeeper 3.4.6

Later versions of a few Apache components are sometimes bundled in the HDP distribution in addition to the versions listed above. In this case, these later versions are listed in the Technical Previews table and shouldn't substitute for the Apache component versions of the above list in a production environment.

Apache patch information

Hadoop

This release provides Hadoop Common 2.7.3 and the following Apache patches:

HADOOP-13190: Mention LoadBalancingKMSClientProvider in KMS HA documentation.
HADOOP-13227: AsyncCallHandler should use an event driven architecture to handle async calls.
HADOOP-14104: Client should always ask namenode for kms provider path.
HADOOP-14799: Update nimbus-jose-jwt to 4.41.1.
HADOOP-14814: Fix incompatible API change on FsServerDefaults to HADOOP-14104.
HADOOP-14903: Add json-smart explicitly to pom.xml.
HADOOP-15042: Azure PageBlobInputStream.skip() can return negative value when numberOfPagesRemaining is 0.
HADOOP-15255: Upper/Lower case conversion support for group names in LdapGroupsMapping.
HADOOP-15265: exclude json-smart explicitly from hadoop-auth pom.xml.
HDFS-7922: ShortCircuitCache#close isn't releasing ScheduledThreadPoolExecutors.
HDFS-8496: Calling stopWriter() with FSDatasetImpl lock held might block other threads (cmccabe).
HDFS-10267: Extra "synchronized" on FsDatasetImpl#recoverAppend and FsDatasetImpl#recoverClose.
HDFS-10489: Deprecate dfs.encryption.key.provider.uri for HDFS encryption zones.
HDFS-11384: Add option for balancer to disperse getBlocks calls to avoid NameNode's rpc.CallQueueLength spike.
HDFS-11689: New exception thrown by DFSClient%isHDFSEncryptionEnabled broke hacky hive code.
HDFS-11711: DN shouldn't delete the block On "Too many open files" Exception.
HDFS-12347: TestBalancerRPCDelay#testBalancerRPCDelay fails frequently.
HDFS-12781: After Datanode down, In Namenode UI Datanode tab is throwing warning message.
HDFS-13054: Handling PathIsNotEmptyDirectoryException in DFSClient delete call.
HDFS-13120: Snapshot diff could be corrupted after concat.
YARN-3742: YARN RM will shut down if ZKClient creation times out.
YARN-6061: Add an UncaughtExceptionHandler for critical threads in RM.
YARN-7558: yarn logs command fails to get logs for running containers if UI authentication is enabled.
YARN-7697: Fetching logs for finished application fails even though log aggregation is complete.

HDP 2.6.4 provided Hadoop Common 2.7.3 and the following Apache patches:

HADOOP-13700: Remove unthrown IOException from TrashPolicy#initialize and #getInstance signatures.
HADOOP-13709: Ability to clean up subprocesses spawned by Shell when the process exits.
HADOOP-14059: typo in s3a rename(self, subdir) error message.
HADOOP-14542: Add IOUtils.cleanupWithLogger that accepts slf4j logger API.
HDFS-9887: WebHdfs socket timeouts should be configurable.
HDFS-9914: Fix configurable WebhDFS connect/read timeout.
MAPREDUCE-6698: Increase timeout on TestUnnecessaryBlockingOnHist oryFileInfo.testTwoThreadsQueryingDifferentJobOfSameUser.
YARN-4550: Some tests in TestContainerLanch fail on non-english locale environment.
YARN-4717: TestResourceLocalizationService.testPublicResourceInitializesLocalDir fails Intermittently due to IllegalArgumentException from cleanup.
YARN-5042: Mount /sys/fs/cgroup into Docker containers as readonly mount.
YARN-5318: Fix intermittent test failure of TestRMAdminService#te stRefreshNodesResourceWithFileSystemBasedConfigurationProvider.
YARN-5641: Localizer leaves behind tarballs after container is complete.
YARN-6004: Refactor TestResourceLocalizationService#testDownloadingResourcesOnContainer so that it's fewer than 150 lines.
YARN-6078: Containers stuck in Localizing state.
YARN-6805: NPE in LinuxContainerExecutor due to null PrivilegedOperationException exit code.

HBase

This release provides HBase 1.1.2 and the following Apache patches.

HBASE-13376: Improvements to Stochastic load balancer.
HBASE-13716: Stop using Hadoop's FSConstants.
HBASE-13848: Access InfoServer SSL passwords through Credential Provider API.
HBASE-13947: Use MasterServices instead of Server in AssignmentManager.
HBASE-14135: HBase Backup/Restore Phase 3: Merge backup images.
HBASE-14473: Compute region locality in parallel.
HBASE-14517: Show regionserver's version in master status page.
HBASE-14606: TestSecureLoadIncrementalHFiles tests timed out in trunk build on apache.
HBASE-15210: Undo aggressive load balancer logging at tens of lines per millisecond.
HBASE-15515: Improve LocalityBasedCandidateGenerator in Balancer.
HBASE-15615: Wrong sleep time when RegionServerCallable need retry.
HBASE-16135: PeerClusterZnode under rs of removed peer might never be deleted.
HBASE-16570: Compute region locality in parallel at startup.
HBASE-16810: HBase Balancer throws ArrayIndexOutOfBoundsException when regionservers are in /hbase/draining znode and unloaded.
HBASE-16852: TestDefaultCompactSelection failed on branch-1.3.
HBASE-17387: Reduce the overhead of exception report in RegionActionResult for multi().
HBASE-17850: Backup system repair utility.
HBASE-17931: Assign system tables to servers with highest version.
HBASE-18083: Make large/small file clean thread number configurable in HFileCleaner.
HBASE-18084: Improve CleanerChore to clean from directory, which consumes more disk space.
HBASE-18164: Much faster locality cost function and candidate generator.
HBASE-18212: In Standalone mode with local filesystem HBase logs Warning message: Failed to invoke 'unbuffer' method in class org.apache.hadoop.fs.FSDataInputStream.
HBASE-18808: Ineffective config check-in BackupLogCleaner#getDeletableFiles().
HBASE-19052: FixedFileTrailer should recognize CellComparatorImpl class in branch-1.x.
HBASE-19065: HRegion#bulkLoadHFiles() should wait for concurrent Region#flush() to finish.
HBASE-19285: Add per-table latency histograms.
HBASE-19393: HTTP 413 FULL head while accessing HBase UI using SSL.
HBASE-19395: [branch-1] TestEndToEndSplitTransaction.testMasterOpsWhileSplitting fails with NPE.
HBASE-19421: branch-1 does not compile against Hadoop 3.0.0.
HBASE-19934: HBaseSnapshotException when read replicas is enabled and online snapshot is taken after region splitting.
HBASE-20008: [backport] NullPointerException when restoring a snapshot after splitting a region.

Hive

This release provides Hive 1.2.1 and Hive 2.1.0 in addition to the following patches:

Hive 1.2.1 Apache patches:

HIVE-10697: ObjectInspectorConvertors#UnionConvertor does a faulty conversion.
HIVE-11266: count(*) wrong result based on table statistics for external tables.
HIVE-12245: Support column comments for an HBase backed table.
HIVE-12315: Fix Vectorized double divide by zero.
HIVE-12360: Bad seek in uncompressed ORC with predicate pushdown.
HIVE-12378: Exception on HBaseSerDe.serialize binary field.
HIVE-12785: View with union type and UDF to the struct is broken.
HIVE-14013: Describe table doesn't show unicode properly.
HIVE-14205: Hive doesn't support union type with AVRO file format.
HIVE-14421: FS.deleteOnExit holds references to _tmp_space.db files.
HIVE-15563: Ignore Illegal Operation state transition exception in SQLOperation.runQuery to expose real exception.
HIVE-15680: Incorrect results when hive.optimize.index.filter=true and same ORC table is referenced twice in query, in MR mode.
HIVE-15883: HBase mapped table in Hive insert fail for decimal.
HIVE-16232: Support stats computation for columns in QuotedIdentifier.
HIVE-16828: With CBO enabled, Query on partitioned views throws IndexOutOfBoundException.
HIVE-17013: Delete request with a subquery based on select over a view.
HIVE-17063: insert overwrite partition onto an external table fails when drop partition first.
HIVE-17259: Hive JDBC does not recognize UNIONTYPE columns.
HIVE-17419: ANALYZE TABLE...COMPUTE STATISTICS FOR COLUMNS command shows computed stats for masked tables.
HIVE-17530: ClassCastException when converting uniontype.
HIVE-17621: Hive-site settings are ignored during HCatInputFormat split-calculation.
HIVE-17636: Add multiple_agg.q test for blobstores.
HIVE-17729: Add Database and Explain related blobstore tests.
HIVE-17731: add a backward compat option for external users to HIVE-11985.
HIVE-17803: With Pig multi-query, 2 HCatStorers writing to the same table will trample each other's outputs.
HIVE-17829: ArrayIndexOutOfBoundsException - HBASE-backed tables with Avro schema in Hive2.
HIVE-17845: insert fails if target table columns are not lowercase.
HIVE-17900: analyze stats on columns triggered by Compactor generates malformed SQL with > 1 partition column.
HIVE-18026: Hive webhcat principal configuration optimization.
HIVE-18031: Support replication for Alter Database operation.
HIVE-18090: acid heartbeat fails when metastore is connected via hadoop credential.
HIVE-18189: Hive query returning wrong results when set hive.groupby.orderby.position.alias to true.
HIVE-18258: Vectorization: Reduce-Side GROUP BY MERGEPARTIAL with duplicate columns is broken.
HIVE-18293: Hive is failing to compact tables contained within a folder that isn't owned by identity running HiveMetaStore.
HIVE-18327: Remove the unnecessary HiveConf dependency for MiniHiveKdc.
HIVE-18341: Add repl load support for adding "raw" namespace for TDE with same encryption keys.
HIVE-18352: introduce a METADATAONLY option while doing REPL DUMP to allow integrations of other tools.
HIVE-18353: CompactorMR should call jobclient.close() to trigger cleanup.
HIVE-18390: IndexOutOfBoundsException when querying a partitioned view in ColumnPruner.
HIVE-18429: Compaction should handle a case when it produces no output.
HIVE-18447: JDBC: Provide a way for JDBC users to pass cookie info via connection string.
HIVE-18460: Compactor doesn't pass Table properties to the Orc writer.
HIVE-18467: support whole warehouse dump / load + create/drop database events (Anishek Agarwal, reviewed by Sankar Hariappan).
HIVE-18551: Vectorization: VectorMapOperator tries to write too many vector columns for Hybrid Grace.
HIVE-18587: insert DML event might attempt to calculate a checksum on directories.
HIVE-18613: Extend JsonSerDe to support BINARY type.
HIVE-18626: Repl load "with" clause does not pass config to tasks.
HIVE-18660: PCR doesn't distinguish between partition and virtual columns.
HIVE-18754: REPL STATUS should support 'with' clause.
HIVE-18754: REPL STATUS should support 'with' clause.
HIVE-18788: Clean up inputs in JDBC PreparedStatement.
HIVE-18794: Repl load "with" clause does not pass config to tasks for non-partition tables.
HIVE-18808: Make compaction more robust when stats update fails.
HIVE-18817: ArrayIndexOutOfBounds exception during read of ACID table.
HIVE-18833: Auto Merge fails when "insert into directory as orcfile".
HIVE-18879: Disallow embedded element in UDFXPathUtil needs to work if xercesImpl.jar in classpath.
HIVE-18907: Create utility to fix acid key index issue from HIVE-18817.

Hive 2.1.0 Apache Patches:

HIVE-14013: Describe table doesn't show unicode properly.
HIVE-14205: Hive doesn't support union type with AVRO file format.
HIVE-15563: Ignore Illegal Operation state transition exception in SQLOperation.runQuery to expose real exception.
HIVE-15680: Incorrect results when hive.optimize.index.filter=true and same ORC table is referenced twice in query, in MR mode.
HIVE-15883: HBase mapped table in Hive insert fail for decimal.
HIVE-16757: Remove calls to deprecated AbstractRelNode.getRows.
HIVE-16828: With CBO enabled, Query on partitioned views throws IndexOutOfBoundException.
HIVE-17063: insert overwrite partition onto an external table fails when drop partition first.
HIVE-17259: Hive JDBC does not recognize UNIONTYPE columns.
HIVE-17530: ClassCastException when converting uniontype.
HIVE-17600: Make OrcFile's enforceBufferSize user-settable.
HIVE-17601: improve error handling in LlapServiceDriver.
HIVE-17613: remove object pools for short, same-thread allocations.
HIVE-17617: Rollup of an empty resultset should contain the grouping of the empty grouping set.
HIVE-17621: Hive-site settings are ignored during HCatInputFormat split-calculation.
HIVE-17629: CachedStore: Have an approved/not-approved config to allow selective caching of tables/partitions and allow read while prewarming.
HIVE-17636: Add multiple_agg.q test for blobstores.
HIVE-17702: incorrect isRepeating handling in decimal reader in ORC.
HIVE-17729: Add Database and Explain related blobstore tests.
HIVE-17731: add a backward compat option for external users to HIVE-11985.
HIVE-17803: With Pig multi-query, 2 HCatStorers writing to the same table will trample each other's outputs.
HIVE-17845: insert fails if target table columns are not lowercase.
HIVE-17900: analyze stats on columns triggered by Compactor generates malformed SQL with > 1 partition column.
HIVE-18006: Optimize memory footprint of HLLDenseRegister.
HIVE-18026: Hive webhcat principal configuration optimization.
HIVE-18031: Support replication for Alter Database operation.
HIVE-18090: acid heartbeat fails when metastore is connected via hadoop credential.
HIVE-18189: Order by position does not work when cbo is disabled.
HIVE-18258: Vectorization: Reduce-Side GROUP BY MERGEPARTIAL with duplicate columns is broken.
HIVE-18269: LLAP: Fast llap io with slow processing pipeline can lead to OOM.
HIVE-18293: Hive is failing to compact tables contained within a folder that isn't owned by identity running HiveMetaStore.
HIVE-18318: LLAP record reader should check interrupt even when not blocking.
HIVE-18326: LLAP Tez scheduler - only preempt tasks if there's a dependency between them.
HIVE-18327: Remove the unnecessary HiveConf dependency for MiniHiveKdc.
HIVE-18331: Add relogin when TGT expires and some logging/lambda.
HIVE-18341: Add repl load support for adding "raw" namespace for TDE with same encryption keys.
HIVE-18352: introduce a METADATAONLY option while doing REPL DUMP to allow integrations of other tools.
HIVE-18353: CompactorMR should call jobclient.close() to trigger cleanup.
HIVE-18384: ConcurrentModificationException in log4j2.x library.
HIVE-18390: IndexOutOfBoundsException when querying a partitioned view in ColumnPruner.
HIVE-18447: JDBC: Provide a way for JDBC users to pass cookie info via connection string.
HIVE-18460: Compactor doesn't pass Table properties to the Orc writer.
HIVE-18462: (Explain formatted for queries with map join has columnExprMap with unformatted column name).
HIVE-18467: support whole warehouse dump / load + create/drop database events.
HIVE-18488: LLAP ORC readers are missing some null checks.
HIVE-18490: Query with EXISTS and NOT EXISTS with non-equi predicate can produce wrong result.
HIVE-18506: LlapBaseInputFormat - negative array index.
HIVE-18517: Vectorization: Fix VectorMapOperator to accept VRBs and check vectorized flag correctly to support LLAP Caching).
HIVE-18523: Fix summary row in case there are no inputs.
HIVE-18528: Aggregate stats in ObjectStore get wrong result.
HIVE-18530: Replication should skip MM table (for now).
HIVE-18548: Fix log4j import.
HIVE-18551: Vectorization: VectorMapOperator tries to write too many vector columns for Hybrid Grace.
HIVE-18577: SemanticAnalyzer.validate has some pointless metastore calls.
HIVE-18587: insert DML event might attempt to calculate a checksum on directories.
HIVE-18597: LLAP: Always package the log4j2 API jar for org.apache.log4j.
HIVE-18613: Extend JsonSerDe to support BINARY type.
HIVE-18626: Repl load "with" clause does not pass config to tasks.
HIVE-18643: don't check for archived partitions for ACID ops.
HIVE-18660: PCR doesn't distinguish between partition and virtual columns.
HIVE-18754: REPL STATUS should support 'with' clause.
HIVE-18788: Clean up inputs in JDBC PreparedStatement.
HIVE-18794: Repl load "with" clause does not pass config to tasks for non-partition tables.
HIVE-18808: Make compaction more robust when stats update fails.
HIVE-18815: Remove unused feature in HPL/SQL.
HIVE-18817: ArrayIndexOutOfBounds exception during read of ACID table.
HIVE-18833: Auto Merge fails when "insert into directory as orcfile".
HIVE-18879: Disallow embedded element in UDFXPathUtil needs to work if xercesImpl.jar in classpath.
HIVE-18944: Grouping sets position is set incorrectly during DPP.

Kafka

This release provides Kafka 1.0.0 and the following Apache patches.

KAFKA-4827: Kafka connect: error with special characters in connector name.
KAFKA-6118: Transient failure in kafka.api.SaslScramSslEndToEndAuthorizationTest.testTwoConsumersWithDifferentSaslCredentials.
KAFKA-6156: JmxReporter can't handle windows style directory paths.
KAFKA-6164: ClientQuotaManager threads prevent shutdown when encountering an error loading logs.
KAFKA-6167: Timestamp on streams directory contains a colon, which is an illegal character.
KAFKA-6179: RecordQueue.clear() does not clear MinTimestampTracker's maintained list.
KAFKA-6185: Selector memory leak with high likelihood of OOM if there's a down conversion.
KAFKA-6190: GlobalKTable never finishes restoring when consuming transactional messages.
KAFKA-6210: IllegalArgumentException if 1.0.0 is used for inter.broker.protocol.version or log.message.format.version.
KAFKA-6214: Using standby replicas with an in memory state store causes Streams to crash.
KAFKA-6215: KafkaStreamsTest fails in trunk.
KAFKA-6238: Issues with protocol version when applying a rolling upgrade to 1.0.0.
KAFKA-6260: AbstractCoordinator not clearly handles NULL Exception.
KAFKA-6261: Request logging throws exception if acks=0.
KAFKA-6274: Improve KTable Source state store auto-generated names.

Mahout

In HDP-2.3.x and 2.4.x, instead of shipping a specific Apache release of Mahout, we synchronized to a particular revision point on Apache Mahout trunk. This revision point is after the 0.9.0 release, but before the 0.10.0 release. This provides a large number of bug fixes and functional enhancements over the 0.9.0 release, but provides a stable release of the Mahout functionality before the complete conversion to new Spark-based Mahout in 0.10.0.

The revision point chosen for Mahout in HDP 2.3.x and 2.4.x is from the "mahout-0.10.x" branch of Apache Mahout, as of 19 December 2014, revision 0f037cb03e77c096 in GitHub.

In HDP-2.5.x and 2.6.x, we removed the "commons-httpclient" library from Mahout because we view it as an obsolete library with possible security issues, and upgraded the Hadoop-Client in Mahout to version 2.7.3, the same version used in HDP-2.5. As a result:

Previously compiled Mahout jobs will need to be recompiled in the HDP-2.5 or 2.6 environment.
There's a small possibility that some Mahout jobs might encounter "ClassNotFoundException" or "could not load class" errors related to "org.apache.commons.httpclient", "net.java.dev.jets3t", or related class name prefixes. If these errors happen, you might consider whether to manually install the needed jars in your classpath for the job, if the risk of security issues in the obsolete library is acceptable in your environment.
There's an even smaller possibility that some Mahout jobs might encounter crashes in Mahout's hbase-client code calls to the hadoop-common libraries, due to binary compatibility problems. Regrettably, there's no way to resolve this issue except revert to the HDP-2.4.2 version of Mahout, which might have security issues. Again, this should be unusual, and is unlikely to occur in any given Mahout job suite.

Oozie

This release provides Oozie 4.2.0 with the following Apache patches.

OOZIE-2571: Add spark.scala.binary.version Maven property so that Scala 2.11 can be used.
OOZIE-2606: Set spark.yarn.jars to fix Spark 2.0 with Oozie.
OOZIE-2658: --driver-class-path can overwrite the classpath in SparkMain.
OOZIE-2787: Oozie distributes application jar twice making the spark job fail.
OOZIE-2792: Hive2 action isn't parsing Spark application ID from log file properly when Hive is on Spark.
OOZIE-2799: Setting log location for spark sql on hive.
OOZIE-2802: Spark action failure on Spark 2.1.0 due to duplicate sharelibs.
OOZIE-2923: Improve Spark options parsing.
OOZIE-3109: SCA: Cross-Site Scripting: Reflected.
OOZIE-3139: Oozie validates workflow incorrectly.
OOZIE-3167: Upgrade tomcat version on Oozie 4.3 branch.

Phoenix

This release provides Phoenix 4.7.0 and the following Apache patches:

PHOENIX-1751: Perform aggregations, sorting, etc., in the preScannerNext instead of postScannerOpen.
PHOENIX-2714: Correct byte estimate in BaseResultIterators and expose as interface.
PHOENIX-2724: Query with large number of guideposts is slower compared to no stats.
PHOENIX-2855: Workaround Increment TimeRange not being serialized for HBase 1.2.
PHOENIX-3023: Slow performance when limit queries are executed in parallel by default.
PHOENIX-3040: Don't use guideposts for executing queries serially.
PHOENIX-3112: Partial row scan not handled correctly.
PHOENIX-3240: ClassCastException from Pig loader.
PHOENIX-3452: NULLS FIRST/NULL LAST shouldn't impact whether GROUP BY is order preserving.
PHOENIX-3469: Incorrect sort order for DESC primary key for NULLS LAST/NULLS FIRST.
PHOENIX-3789: Execute cross region index maintenance calls in postBatchMutateIndispensably.
PHOENIX-3865: IS NULL does not return correct results when first column family not filtered against.
PHOENIX-4290: Full table scan performed for DELETE with table having immutable indexes.
PHOENIX-4373: Local index variable length key can have trailing nulls while upserting.
PHOENIX-4466: java.lang.RuntimeException: response code 500 - Executing a spark job to connect to phoenix query server and load data.
PHOENIX-4489: HBase Connection leak in Phoenix MR Jobs.
PHOENIX-4525: Integer overflow in GroupBy execution.
PHOENIX-4560: ORDER BY with GROUP BY doesn't work if there's WHERE on pk column.
PHOENIX-4586: UPSERT SELECT doesn't take in account comparison operators for subqueries.
PHOENIX-4588: Clone expression also if its children have Determinism.PER_INVOCATION.

Pig

This release provides Pig 0.16.0 with the following Apache patches.

PIG-5159: Fix Pig not saving grunt history.
PIG-5175: Upgrade jruby to 1.7.26.

Ranger

This release provides Ranger 0.7.0 and the following Apache patches:

RANGER-1805: Code improvement to follow best practices in js.
RANGER-1960: Take snapshot's table name into consideration for deletion.
RANGER-1982: Error Improvement for Analytics Metric of Ranger Admin and Ranger KMS.
RANGER-1984: HBase audit log records might not show all tags associated with accessed column.
RANGER-1988: Fix insecure randomness.
RANGER-1990: Add One-way SSL MySQL support in Ranger Admin.
RANGER-2006: Fix problems detected by static code analysis in ranger usersync for ldap sync source.
RANGER-2008: Policy evaluation is failing for multiline policy conditions.

Slider

This release provides Slider 0.92.0 with no more Apache patches.

Spark

This release provides Spark 2.3.0 and the following Apache patches:

SPARK-13587: Support virtualenv in pyspark.
SPARK-19964: Avoid reading from remote repos in SparkSubmitSuite.
SPARK-22882: ML test for structured streaming: ml.classification.
SPARK-22915: Streaming tests for spark.ml.feature, from N to Z.
SPARK-23020: Fix another race in the in-process launcher test.
SPARK-23040: Returns interruptible iterator for shuffle reader.
SPARK-23173: Avoid creating corrupt parquet files when loading data from JSON.
SPARK-23264: Fix scala.MatchError in literals.sql.out.
SPARK-23288: Fix output metrics with parquet sink.
SPARK-23329: Fix documentation of trigonometric functions.
SPARK-23406: Enable stream-stream self-joins for branch-2.3.
SPARK-23434: Spark shouldn't warn `metadata directory` for an HDFS file path.
SPARK-23436: Infer partition as Date only if it can be cast to Date.
SPARK-23457: Register task completion listeners first in ParquetFileFormat.
SPARK-23462: improve missing field error message in `StructType`.
SPARK-23490: Check storage.locationUri with existing table in CreateTable.
SPARK-23524: Big local shuffle blocks shouldn't be checked for corruption.
SPARK-23525: Support ALTER TABLE CHANGE COLUMN COMMENT for external hive table.
SPARK-23553: Tests shouldn't assume the default value of `spark.sql.sources.default`.
SPARK-23569: Allow pandas_udf to work with python3 style type-annotated functions.
SPARK-23570: Add Spark 2.3.0 in HiveExternalCatalogVersionsSuite.
SPARK-23598: Make methods in BufferedRowIterator public to avoid runtime error for a large query.
SPARK-23599: Add a UUID generator from Pseudo-Random Numbers.
SPARK-23599: Use RandomUUIDGenerator in Uuid expression.
SPARK-23601: Remove .md5 files from release.
SPARK-23608: Add synchronization in SHS between attachSparkUI and detachSparkUI functions to avoid concurrent modification issue to Jetty Handlers.
SPARK-23614: Fix incorrect reuse exchange when caching is used.
SPARK-23623: Avoid concurrent use of cached consumers in CachedKafkaConsumer (branch-2.3).
SPARK-23624: Revise doc of method pushFilters in Datasource V2.
SPARK-23628: calculateParamLength shouldn't return 1 + num of expressions.
SPARK-23630: Allow user's hadoop conf customizations to take effect.
SPARK-23635: Spark executor env variable is overwritten by same name AM env variable.
SPARK-23637: Yarn might allocate more resource if a same executor is killed multiple times.
SPARK-23639: Obtain token before init metastore client in SparkSQL CLI.
SPARK-23642: AccumulatorV2 subclass isZero scaladoc fix.
SPARK-23644: Use absolute path for REST call in SHS.
SPARK-23645: Add docs RE `pandas_udf` with keyword args.
SPARK-23649: Skipping chars disallowed in UTF-8.
SPARK-23658: InProcessAppHandle uses the wrong class in getLogger.
SPARK-23660: Fix exception in yarn cluster mode when application ended fast.
SPARK-23670: Fix memory leak on SparkPlanGraphWrapper.
SPARK-23671: Fix condition to enable the SHS thread pool.
SPARK-23691: Use sql_conf util in PySpark tests where possible.
SPARK-23695: Fix the error message for Kinesis streaming tests.
SPARK-23706: spark.conf.get(value, default=None) should produce None in PySpark.
SPARK-23728: Fix ML tests with expected exceptions running streaming tests.
SPARK-23729: Respect URI fragment when resolving globs.
SPARK-23759: Unable to bind Spark UI to specific host name / IP.
SPARK-23760: CodegenContext.withSubExprEliminationExprs should save/restore CSE state correctly.
SPARK-23769: Remove comments that unnecessarily disable Scalastyle check.
SPARK-23788: Fix race in StreamingQuerySuite.
SPARK-23802: PropagateEmptyRelation can leave query plan in unresolved state.
SPARK-23806: Broadcast.unpersist can cause fatal exception when used with dynamic allocation.
SPARK-23808: Set default Spark session in test-only spark sessions.
SPARK-23809: Active SparkSession should be set by getOrCreate.
SPARK-23816: Killed tasks should ignore FetchFailures.
SPARK-23822: Improve error message for Parquet schema mismatches.
SPARK-23823: Keep origin in transformExpression.
SPARK-23827: StreamingJoinExec should ensure that input data is partitioned into specific number of partitions.
SPARK-23838: Running SQL query is displayed as "completed" in SQL tab.
SPARK-23881: Fix flaky test JobCancellationSuite."interruptible iterator of shuffle reader".

Sqoop

This release provides Sqoop 1.4.6 with no more Apache patches.

Storm

This release provides Storm 1.1.1 and the following Apache patches:

STORM-2652: Exception thrown in JmsSpout open method.
STORM-2841: testNoAcksIfFlushFails UT fails with NullPointerException.
STORM-2854: Expose IEventLogger to make event log pluggable.
STORM-2870: FileBasedEventLogger leaks non-daemon ExecutorService, which prevents process to be finished.
STORM-2960: Better to stress importance of setting up proper OS account for Storm processes.

Tez

This release provides Tez 0.7.0 and the following Apache patches:

TEZ-1526: LoadingCache for TezTaskID slow for large jobs.

Zeppelin

This release provides Zeppelin 0.7.3 with no more Apache patches.

ZEPPELIN-3072: Zeppelin UI becomes slow/unresponsive if there are too many notebooks.
ZEPPELIN-3129: Zeppelin UI doesn't sign out in Internet Explorer.
ZEPPELIN-903: Replace CXF with Jersey2.

ZooKeeper

This release provides ZooKeeper 3.4.6 and the following Apache patches:

ZOOKEEPER-1256: ClientPortBindTest is failing on macOS X.
ZOOKEEPER-1901: [JDK8] Sort children for comparison in AsyncOps tests.
ZOOKEEPER-2423: Upgrade Netty version due to security vulnerability (CVE-2014-3488).
ZOOKEEPER-2693: DOS attack on wchp/wchc four letter words (4lw).
ZOOKEEPER-2726: Patch introduces a potential race condition.

Fixed Common Vulnerabilities and Exposures

This section covers all Common Vulnerabilities and Exposures (CVE) that are addressed in this release.

CVE-2017-7676

Summary: Apache Ranger policy evaluation ignores characters after ‘*’ wildcard character
Severity: Critical
Vendor: Hortonworks
Versions Affected: HDInsight 3.6 versions including Apache Ranger versions 0.5.x/0.6.x/0.7.0
Users affected: Environments that use Ranger policies with characters after ‘’ wildcard character – like mytest, test*.txt
Impact: Policy resource matcher ignores characters after ‘*’ wildcard character, which can result in unintended behavior.
Fix detail: Ranger policy resource matcher was updated to correctly handle wildcard matches.
Recommended Action: Upgrade to HDI 3.6 (with Apache Ranger 0.7.1+).

CVE-2017-7677

Summary: Apache Ranger Hive Authorizer should check for RWX permission when external location is specified
Severity: Critical
Vendor: Hortonworks
Versions Affected: HDInsight 3.6 versions including Apache Ranger versions 0.5.x/0.6.x/0.7.0
Users affected: Environments that use external location for hive tables
Impact: In environments that use external location for hive tables, Apache Ranger Hive Authorizer should check for RWX permission for the external location specified for create table.
Fix detail: Ranger Hive Authorizer was updated to correctly handle permission check with external location.
Recommended Action: Users should upgrade to HDI 3.6 (with Apache Ranger 0.7.1+).

CVE-2017-9799

Summary: Potential execution of code as the wrong user in Apache Storm
Severity: Important
Vendor: Hortonworks
Versions Affected: HDP 2.4.0, HDP-2.5.0, HDP-2.6.0
Users affected: Users who use Storm in secure mode and are using blobstore to distribute topology based artifacts or using the blobstore to distribute any topology resources.
Impact: Under some situations and configurations of storm it's theoretically possible for the owner of a topology to trick the supervisor to launch a worker as a different, non-root, user. In the worst case, this could lead to secure credentials of the other user being compromised. This vulnerability only applies to Apache Storm installations with security enabled.
Mitigation: Upgrade to HDP-2.6.2.1 as there are currently no workarounds.

CVE-2016-4970

Summary: handler/ssl/OpenSslEngine.java in Netty 4.0.x before 4.0.37. Final and 4.1.x before 4.1.1. Final allows remote attackers to cause a denial of service (infinite loop)
Severity: Moderate
Vendor: Hortonworks
Versions Affected: HDP 2.x.x since 2.3.x
Users Affected: All users that use HDFS.
Impact: Impact is low as Hortonworks does not use OpenSslEngine.java directly in Hadoop codebase.
Recommended Action: Upgrade to HDP 2.6.3.

CVE-2016-8746

Summary: Apache Ranger path matching issue in policy evaluation
Severity: Normal
Vendor: Hortonworks
Versions Affected: All HDP 2.5 versions including Apache Ranger versions 0.6.0/0.6.1/0.6.2
Users affected: All users of the ranger policy admin tool.
Impact: Ranger policy engine incorrectly matches paths in certain conditions when a policy contains wildcards and recursive flags.
Fix detail: Fixed policy evaluation logic
Recommended Action: Users should upgrade to HDP 2.5.4+ (with Apache Ranger 0.6.3+) or HDP 2.6+ (with Apache Ranger 0.7.0+)

CVE-2016-8751

Summary: Apache Ranger stored cross site scripting issue
Severity: Normal
Vendor: Hortonworks
Versions Affected: All HDP 2.3/2.4/2.5 versions including Apache Ranger versions 0.5.x/0.6.0/0.6.1/0.6.2
Users affected: All users of the ranger policy admin tool.
Impact: Apache Ranger is vulnerable to a Stored Cross-Site Scripting when entering custom policy conditions. Admin users can store some arbitrary JavaScript code execute when normal users sign in and access policies.
Fix detail: Added logic to sanitize the user input.
Recommended Action: Users should upgrade to HDP 2.5.4+ (with Apache Ranger 0.6.3+) or HDP 2.6+ (with Apache Ranger 0.7.0+)

Fixed issues for support

Fixed issues represent selected issues that were previously logged via Hortonworks Support, but are now addressed in the current release. These issues might have been reported in previous versions within the Known Issues section; meaning they were reported by customers or identified by Hortonworks Quality Engineering team.

Incorrect Results

Bug ID	Apache JIRA	Summary
BUG-100019	YARN-8145	yarn rmadmin -getGroups doesn't return updated groups for user
BUG-100058	PHOENIX-2645	Wildcard characters do not match newline characters
BUG-100266	PHOENIX-3521, PHOENIX-4190	Results wrong with local indexes
BUG-88774	HIVE-17617, HIVE-18413, HIVE-18523	query36 failing, row count mismatch
BUG-89765	HIVE-17702	incorrect isRepeating handling in decimal reader in ORC
BUG-92293	HADOOP-15042	Azure PageBlobInputStream.skip() can return negative value when numberOfPagesRemaining is 0
BUG-92345	ATLAS-2285	UI: Renamed saved search with date attribute.
BUG-92563	HIVE-17495, HIVE-18528	Aggregate stats in ObjectStore get wrong result
BUG-92957	HIVE-11266	count(*) wrong result based on table statistics for external tables
BUG-93097	RANGER-1944	Action filter for Admin Audit isn't working
BUG-93335	HIVE-12315	vectorization_short_regress.q has a wrong result issue for a double calculation
BUG-93415	HIVE-18258, HIVE-18310	Vectorization: Reduce-Side GROUP BY MERGEPARTIAL with duplicate columns is broken
BUG-93939	ATLAS-2294	Extra parameter "description" added when creating a type
BUG-94007	PHOENIX-1751, PHOENIX-3112	Phoenix Queries returns Null values due to HBase Partial rows
BUG-94266	HIVE-12505	Insert overwrite in same encrypted zone silently fails to remove some existing files
BUG-94414	HIVE-15680	Incorrect results when hive.optimize.index.filter=true and same ORC table is referenced twice in query
BUG-95048	HIVE-18490	Query with EXISTS and NOT EXISTS with non-equi predicate can produce wrong result
BUG-95053	PHOENIX-3865	IS NULL does not return correct results when first column family not filtered against
BUG-95476	RANGER-1966	Policy engine initialization does not create context enrichers in some cases
BUG-95566	SPARK-23281	Query produces results in incorrect order when a composite order by clause refers to both original columns and aliases
BUG-95907	PHOENIX-3451, PHOENIX-3452, PHOENIX-3469, PHOENIX-4560	Fixing issues with ORDER BY ASC when query has aggregation
BUG-96389	PHOENIX-4586	UPSERT SELECT doesn't take in account comparison operators for subqueries.
BUG-96602	HIVE-18660	PCR doesn't distinguish between partition and virtual columns
BUG-97686	ATLAS-2468	[Basic Search] Issue with OR cases when NEQ is used with numeric types
BUG-97708	HIVE-18817	ArrayIndexOutOfBounds exception during read of ACID table.
BUG-97864	HIVE-18833	Auto Merge fails when "insert into directory as orcfile"
BUG-97889	RANGER-2008	Policy evaluation is failing for multiline policy conditions.
BUG-98655	RANGER-2066	HBase column family access is authorized by a tagged column in the column family
BUG-99883	HIVE-19073, HIVE-19145	StatsOptimizer might mangle constant columns

Other

Bug ID	Apache JIRA	Summary
BUG-100267	HBASE-17170	HBase is also retrying DoNotRetryIOException because of class loader differences.
BUG-92367	YARN-7558	"yarn logs" command fails to get logs for running containers if UI authentication is enabled.
BUG-93159	OOZIE-3139	Oozie validates workflow incorrectly
BUG-93936	ATLAS-2289	Embedded kafka/zookeeper server start/stop code to be moved out of KafkaNotification implementation
BUG-93942	ATLAS-2312	Use ThreadLocal DateFormat objects to avoid simultaneous use from multiple threads
BUG-93946	ATLAS-2319	UI: Deleting a tag, which at 25+ position in the tag list in both Flat and Tree structure needs a refresh to remove the tag from the list.
BUG-94618	YARN-5037, YARN-7274	Ability to disable elasticity at leaf queue level
BUG-94901	HBASE-19285	Add per-table latency histograms
BUG-95259	HADOOP-15185, HADOOP-15186	Update `adls` connector to use the current version of ADLS SDK
BUG-95619	HIVE-18551	Vectorization: VectorMapOperator tries to write too many vector columns for Hybrid Grace
BUG-97223	SPARK-23434	Spark shouldn't warn `metadata directory` for an HDFS file path

Performance

Bug ID	Apache JIRA	Summary
BUG-83282	HBASE-13376, HBASE-14473, HBASE-15210, HBASE-15515, HBASE-16570, HBASE-16810, HBASE-18164	Fast locality computation in balancer
BUG-91300	HBASE-17387	Reduce the overhead of exception report in RegionActionResult for multi()
BUG-91804	TEZ-1526	LoadingCache for TezTaskID slow for large jobs
BUG-92760	ACCUMULO-4578	Cancel compaction FATE operation does not release namespace lock
BUG-93577	RANGER-1938	Solr for Audit setup doesn't use DocValues effectively
BUG-93910	HIVE-18293	Hive is failing to compact tables contained within a folder that isn't owned by identity running HiveMetaStore
BUG-94345	HIVE-18429	Compaction should handle a case when it produces no output
BUG-94381	HADOOP-13227, HDFS-13054	Handling RequestHedgingProxyProvider RetryAction order: FAIL < RETRY < FAILOVER_AND_RETRY.
BUG-94432	HIVE-18353	CompactorMR should call jobclient.close() to trigger cleanup
BUG-94869	PHOENIX-4290, PHOENIX-4373	Requested row out of range for Get on `HRegion` for local indexed salted phoenix table.
BUG-94928	HDFS-11078	Fix NPE in LazyPersistFileScrubber
BUG-94964	HIVE-18269, HIVE-18318, HIVE-18326	Multiple LLAP fixes
BUG-95669	HIVE-18577, HIVE-18643	When run update/delete query on ACID partitioned table, HS2 read all each partition.
BUG-96390	HDFS-10453	ReplicationMonitor thread could be stuck for long time due to the race between replication and delete the same file in a large cluster.
BUG-96625	HIVE-16110	Revert of "Vectorization: Support 2 Value CASE WHEN instead of fallback to VectorUDFAdaptor"
BUG-97109	HIVE-16757	Use of deprecated getRows() instead of new estimateRowCount(RelMetadataQuery...) has serious performance impact
BUG-97110	PHOENIX-3789	Execute cross region index maintenance calls in postBatchMutateIndispensably
BUG-98833	YARN-6797	TimelineWriter does not fully consume the POST response
BUG-98931	ATLAS-2491	Update Hive hook to use Atlas v2 notifications

Potential Data Loss

Bug ID	Apache JIRA	Summary
BUG-95613	HBASE-18808	Ineffective config check-in BackupLogCleaner#getDeletableFiles()
BUG-97051	HIVE-17403	Fail concatenation for unmanaged and transactional tables
BUG-97787	HIVE-18460	Compactor doesn't pass Table properties to the Orc writer
BUG-97788	HIVE-18613	Extend JsonSerDe to support BINARY type

Query Failure

Bug ID	Apache JIRA	Summary
BUG-100180	CALCITE-2232	Assertion error on AggregatePullUpConstantsRule while adjusting Aggregate indices
BUG-100422	HIVE-19085	FastHiveDecimal abs(0) sets sign to `+ve`
BUG-100834	PHOENIX-4658	IllegalStateException: requestSeek can't be called on ReversedKeyValueHeap
BUG-102078	HIVE-17978	TPCDS queries 58 and 83 generate exceptions in vectorization.
BUG-92483	HIVE-17900	analyze stats on columns triggered by Compactor generates malformed SQL with > 1 partition column
BUG-93135	HIVE-15874, HIVE-18189	Hive query returning wrong results when set hive.groupby.orderby.position.alias to true
BUG-93136	HIVE-18189	Order by position does not work when `cbo` is disabled
BUG-93595	HIVE-12378, HIVE-15883	HBase mapped table in Hive insert fail for decimal and binary columns
BUG-94007	PHOENIX-1751, PHOENIX-3112	Phoenix Queries returns Null values due to HBase Partial rows
BUG-94144	HIVE-17063	insert overwrite partition into an external table fails when drop partition first
BUG-94280	HIVE-12785	View with union type and UDF to `cast` the struct is broken
BUG-94505	PHOENIX-4525	Integer overflow in GroupBy execution
BUG-95618	HIVE-18506	LlapBaseInputFormat - negative array index
BUG-95644	HIVE-9152	CombineHiveInputFormat: Hive query is failing in Tez with java.lang.IllegalArgumentException exception
BUG-96762	PHOENIX-4588	Clone expression also if its children have Determinism.PER_INVOCATION
BUG-97145	HIVE-12245, HIVE-17829	Support column comments for an HBase backed table
BUG-97741	HIVE-18944	Grouping sets position is set incorrectly during DPP
BUG-98082	HIVE-18597	LLAP: Always package the `log4j2` API jar for `org.apache.log4j`
BUG-99849	N/A	Create a new table from a file wizard tries to use default database

Security

Bug ID	Apache JIRA	Summary
BUG-100436	RANGER-2060	`Knox` proxy with `knox-sso` isn't working for ranger
BUG-101038	SPARK-24062	Zeppelin %Spark interpreter "Connection refused" error, "A secret key must be specified..." error in HiveThriftServer
BUG-101359	ACCUMULO-4056	Update version of commons-collection to 3.2.2 when released
BUG-54240	HIVE-18879	Disallow embedded element in UDFXPathUtil needs to work if xercesImpl.jar in classpath
BUG-79059	OOZIE-3109	Escape log-streaming's HTML-specific characters
BUG-90041	OOZIE-2723	JSON.org license is now CatX
BUG-93754	RANGER-1943	Ranger Solr authorization is skipped when collection is empty or null
BUG-93804	HIVE-17419	ANALYZE TABLE...COMPUTE STATISTICS FOR COLUMNS command shows computed stats for masked tables
BUG-94276	ZEPPELIN-3129	Zeppelin UI does not sign out in Internet Explorer
BUG-95349	ZOOKEEPER-1256, ZOOKEEPER-1901	Upgrade netty
BUG-95483	N/A	Fix for CVE-2017-15713
BUG-95646	OOZIE-3167	Upgrade tomcat version on Oozie 4.3 branch
BUG-95823	N/A	`Knox`: Upgrade `Beanutils`
BUG-95908	RANGER-1960	HBase auth does not take table namespace into consideration for deleting snapshot
BUG-96191	FALCON-2322, FALCON-2323	Upgrade Jackson and Spring versions to avoid security vulnerabilities
BUG-96502	RANGER-1990	Add One-way SSL MySQL support in Ranger Admin
BUG-96712	FLUME-3194	upgrade derby to the latest (1.14.1.0) version
BUG-96713	FLUME-2678	Upgrade xalan to 2.7.2 to take care of CVE-2014-0107 vulnerability
BUG-96714	FLUME-2050	Upgrade to `log4j2` (when GA)
BUG-96737	N/A	Use Java io filesystem methods to access local files
BUG-96925	N/A	Upgrade Tomcat from 6.0.48 to 6.0.53 in Hadoop
BUG-96977	FLUME-3132	Upgrade tomcat `jasper` library dependencies
BUG-97022	HADOOP-14799, HADOOP-14903, HADOOP-15265	Upgrading Nimbus-JOSE-JWT library with version above 4.39
BUG-97101	RANGER-1988	Fix insecure randomness
BUG-97178	ATLAS-2467	Dependency upgrade for Spring and nimbus-jose-jwt
BUG-97180	N/A	Upgrade Nimbus-jose-jwt
BUG-98038	HIVE-18788	Clean up inputs in JDBC PreparedStatement
BUG-98353	HADOOP-13707	Revert of "If kerberos is enabled while HTTP SPNEGO isn't configured, some links can't be accessed"
BUG-98372	HBASE-13848	Access InfoServer SSL passwords through Credential Provider API
BUG-98385	ATLAS-2500	Add more headers to Atlas response.
BUG-98564	HADOOP-14651	Update okhttp version to 2.7.5
BUG-99440	RANGER-2045	Hive table columns with no explicit allow policy are listed with 'desc table' command
BUG-99803	N/A	Oozie should disable HBase dynamic class loading

Stability

Bug ID	Apache JIRA	Summary
BUG-100040	ATLAS-2536	NPE in Atlas Hive Hook
BUG-100057	HIVE-19251	ObjectStore.getNextNotification with LIMIT should use less memory
BUG-100072	HIVE-19130	NPE is thrown when REPL LOAD applied drop partition event.
BUG-100073	N/A	too many close_wait connections from `hiveserver` to data node
BUG-100319	HIVE-19248	REPL LOAD doesn't throw error if file copy fails.
BUG-100352	N/A	CLONE - RM purging logic scans /registry znode too frequently
BUG-100427	HIVE-19249	Replication: WITH clause isn't passing the configuration to Task correctly in all cases
BUG-100430	HIVE-14483	java.lang.ArrayIndexOutOfBoundsException org.apache.orc.impl.TreeReaderFactory$BytesColumnVectorUtil.commonReadByteArrays
BUG-100432	HIVE-19219	Incremental REPL DUMP should throw error if requested events are cleaned-up.
BUG-100448	SPARK-23637, SPARK-23802, SPARK-23809, SPARK-23816, SPARK-23822, SPARK-23823, SPARK-23838, SPARK-23881	Update `Spark2` to 2.3.0+ (4/11)
BUG-100740	HIVE-16107	JDBC: HttpClient should retry one more time on NoHttpResponseException
BUG-100810	HIVE-19054	Hive Functions replication fails
BUG-100937	MAPREDUCE-6889	Add Job#close API to shut down MR client services.
BUG-101065	ATLAS-2587	Set read ACL for /apache_atlas/active_server_info znode in HA for `Knox` proxy to read.
BUG-101093	STORM-2993	Storm HDFS bolt throws ClosedChannelException when Time rotation policy is used
BUG-101181	N/A	PhoenixStorageHandler doesn't handle AND in predicate correctly
BUG-101266	PHOENIX-4635	HBase Connection leak in org.apache.phoenix.hive.mapreduce.PhoenixInputFormat
BUG-101458	HIVE-11464	lineage info missing if there are multiple outputs
BUG-101485	N/A	hive metastore thrift api is slow and causing client timeout
BUG-101628	HIVE-19331	Hive incremental replication to cloud failed.
BUG-102048	HIVE-19381	Hive Function Replication to cloud fails with FunctionTask
BUG-102064	N/A	Hive Replication `\[ onprem to onprem \]` tests failed in ReplCopyTask
BUG-102137	HIVE-19423	Hive Replication `\[ Onprem to Cloud \]` tests failed in ReplCopyTask
BUG-102305	HIVE-19430	HS2 and hive metastore OOM dumps
BUG-102361	N/A	multiple insert results in single insert replicated to target hive cluster ( `onprem - s3` )
BUG-87624	N/A	Enabling storm event logging causes workers to continuously die
BUG-88929	HBASE-15615	Wrong sleep time when RegionServerCallable need retry
BUG-89628	HIVE-17613	remove object pools for short, same-thread allocations
BUG-89813	N/A	SCA: Code Correctness: Non-Synchronized Method Overrides Synchronized Method
BUG-90437	ZEPPELIN-3072	Zeppelin UI becomes slow/unresponsive if there are too many notebooks
BUG-90640	HBASE-19065	HRegion#bulkLoadHFiles() should wait for concurrent Region#flush() to finish
BUG-91202	HIVE-17013	Delete request with a subquery based on select over a view
BUG-91350	KNOX-1108	NiFiHaDispatch not failing over
BUG-92054	HIVE-13120	propagate doAs when generating ORC splits
BUG-92373	FALCON-2314	Bump TestNG version to 6.13.1 to avoid BeanShell dependency
BUG-92381	N/A	testContainerLogsWithNewAPI and testContainerLogsWithOldAPI UT fails
BUG-92389	STORM-2841	testNoAcksIfFlushFails UT fails with NullPointerException
BUG-92586	SPARK-17920, SPARK-20694, SPARK-21642, SPARK-22162, SPARK-22289, SPARK-22373, SPARK-22495, SPARK-22574, SPARK-22591, SPARK-22595, SPARK-22601, SPARK-22603, SPARK-22607, SPARK-22635, SPARK-22637, SPARK-22653, SPARK-22654, SPARK-22686, SPARK-22688, SPARK-22817, SPARK-22862, SPARK-22889, SPARK-22972, SPARK-22975, SPARK-22982, SPARK-22983, SPARK-22984, SPARK-23001, SPARK-23038, SPARK-23095	Update `Spark2` up-to-date to 2.2.1 (Jan. 16)
BUG-92680	ATLAS-2288	NoClassDefFoundError Exception while running import-hive script when hbase table is created via Hive
BUG-92760	ACCUMULO-4578	Cancel compaction FATE operation does not release namespace lock
BUG-92797	HDFS-10267, HDFS-8496	Reducing the datanode lock contentions on certain use cases
BUG-92813	FLUME-2973	Deadlock in hdfs sink
BUG-92957	HIVE-11266	count(*) wrong result based on table statistics for external tables
BUG-93018	ATLAS-2310	In HA, the passive node redirects the request with wrong URL encoding
BUG-93116	RANGER-1957	Ranger Usersync isn't syncing users or groups periodically when incremental sync is enabled.
BUG-93361	HIVE-12360	Bad seek in uncompressed ORC with predicate pushdown
BUG-93426	CALCITE-2086	HTTP/413 in certain circumstances due to large Authorization headers
BUG-93429	PHOENIX-3240	ClassCastException from Pig loader
BUG-93485	N/A	can't get table mytestorg.apache.hadoop.hive.ql.metadata.InvalidTableException: Table not found when running analyze table on columns in LLAP
BUG-93512	PHOENIX-4466	java.lang.RuntimeException: response code 500 - Executing a spark job to connect to phoenix query server and load data
BUG-93550	N/A	Zeppelin %spark.r does not work with spark1 due to scala version mismatch
BUG-93910	HIVE-18293	Hive is failing to compact tables contained within a folder that isn't owned by identity running HiveMetaStore
BUG-93926	ZEPPELIN-3114	Notebooks and interpreters aren't getting saved in zeppelin after >1d stress testing
BUG-93932	ATLAS-2320	classification "*" with query throws 500 Internal server exception.
BUG-93948	YARN-7697	NM goes down with OOM due to leak in log-aggregation (part#1)
BUG-93965	ATLAS-2229	DSL search: orderby non-string attribute throws exception
BUG-93986	YARN-7697	NM goes down with OOM due to leak in log-aggregation (part#2)
BUG-94030	ATLAS-2332	Creation of type with attributes having nested collection datatype fails
BUG-94080	YARN-3742, YARN-6061	Both RM are in standby in secure cluster
BUG-94081	HIVE-18384	ConcurrentModificationException in `log4j2.x` library
BUG-94168	N/A	Yarn RM goes down with Service Registry is in wrong state ERROR
BUG-94330	HADOOP-13190, HADOOP-14104, HADOOP-14814, HDFS-10489, HDFS-11689	HDFS should support for multiple `KMS Uris`
BUG-94345	HIVE-18429	Compaction should handle a case when it produces no output
BUG-94372	ATLAS-2229	DSL query: hive_table name = ["t1","t2"] throws invalid DSL query exception
BUG-94381	HADOOP-13227, HDFS-13054	Handling RequestHedgingProxyProvider RetryAction order: FAIL < RETRY < FAILOVER_AND_RETRY.
BUG-94432	HIVE-18353	CompactorMR should call jobclient.close() to trigger cleanup
BUG-94575	SPARK-22587	Spark job fails if fs.defaultFS and application jar are different url
BUG-94791	SPARK-22793	Memory leak in Spark Thrift Server
BUG-94928	HDFS-11078	Fix NPE in LazyPersistFileScrubber
BUG-95013	HIVE-18488	LLAP ORC readers are missing some null checks
BUG-95077	HIVE-14205	Hive doesn't support union type with AVRO file format
BUG-95200	HDFS-13061	SaslDataTransferClient#checkTrustAndSend shouldn't trust a partially trusted channel
BUG-95201	HDFS-13060	Adding a BlacklistBasedTrustedChannelResolver for TrustedChannelResolver
BUG-95284	HBASE-19395	[branch-1] TestEndToEndSplitTransaction.testMasterOpsWhileSplitting fails with NPE
BUG-95301	HIVE-18517	Vectorization: Fix VectorMapOperator to accept VRBs and check vectorized flag correctly to support LLAP Caching
BUG-95542	HBASE-16135	PeerClusterZnode under rs of removed peer might never be deleted
BUG-95595	HIVE-15563	Ignore Illegal Operation state transition exception in SQLOperation.runQuery to expose real exception.
BUG-95596	YARN-4126, YARN-5750	TestClientRMService fails
BUG-96019	HIVE-18548	Fix `log4j` import
BUG-96196	HDFS-13120	Snapshot diff could be corrupted after concat
BUG-96289	HDFS-11701	NPE from Unresolved Host causes permanent DFSInputStream failures
BUG-96291	STORM-2652	Exception thrown in JmsSpout open method
BUG-96363	HIVE-18959	Avoid creating extra pool of threads within LLAP
BUG-96390	HDFS-10453	ReplicationMonitor thread could be stuck for a long time due to the race between replication and delete of the same file in a large cluster.
BUG-96454	YARN-4593	Deadlock in AbstractService.getConfig()
BUG-96704	FALCON-2322	ClassCastException while submitAndSchedule feed
BUG-96720	SLIDER-1262	Slider functests are failing in `Kerberized` environment
BUG-96931	SPARK-23053, SPARK-23186, SPARK-23230, SPARK-23358, SPARK-23376, SPARK-23391	Update `Spark2` up-to-date (Feb. 19)
BUG-97067	HIVE-10697	ObjectInspectorConvertors#UnionConvertor does a faulty conversion
BUG-97244	KNOX-1083	HttpClient default timeout should be a sensible value
BUG-97459	ZEPPELIN-3271	Option for disabling scheduler
BUG-97511	KNOX-1197	AnonymousAuthFilter isn't added when authentication=Anonymous in service
BUG-97601	HIVE-17479	Staging directories do not get cleaned up for update/delete queries
BUG-97605	HIVE-18858	System properties in job configuration not resolved when submitting MR job
BUG-97674	OOZIE-3186	Oozie is unable to use configuration linked using jceks://file/...
BUG-97743	N/A	java.lang.NoClassDefFoundError exception while deploying storm topology
BUG-97756	PHOENIX-4576	Fix LocalIndexSplitMergeIT tests failing
BUG-97771	HDFS-11711	DN should not delete the block On "Too many open files" Exception
BUG-97869	KNOX-1190	`Knox` SSO support for Google OIDC is broken.
BUG-97879	PHOENIX-4489	HBase Connection leak in Phoenix MR Jobs
BUG-98392	RANGER-2007	ranger-tagsync's Kerberos ticket fails to renew
BUG-98484	N/A	Hive Incremental Replication to Cloud not working
BUG-98533	HBASE-19934, HBASE-20008	HBase snapshot restore is failing due to Null pointer exception
BUG-98555	PHOENIX-4662	NullPointerException in TableResultIterator.java on cache resend
BUG-98579	HBASE-13716	Stop using Hadoop's FSConstants
BUG-98705	KNOX-1230	Many Concurrent Requests to `Knox` causes URL Mangling
BUG-98983	KNOX-1108	NiFiHaDispatch not failing over
BUG-99107	HIVE-19054	Function replication shall use "hive.repl.replica.functions.root.dir" as root
BUG-99145	RANGER-2035	Errors accessing servicedefs with empty implClass with Oracle backend
BUG-99160	SLIDER-1259	Slider does not work in multi-homed environments
BUG-99239	ATLAS-2462	Sqoop import for all tables throws NPE for no table provided in command
BUG-99301	ATLAS-2530	Newline at the beginning of the name attribute of a hive_process and hive_column_lineage
BUG-99453	HIVE-19065	Metastore client compatibility check should include syncMetaStoreClient
BUG-99521	N/A	ServerCache for HashJoin isn't re-created when iterators are reinstantiated
BUG-99590	PHOENIX-3518	Memory Leak in RenewLeaseTask
BUG-99618	SPARK-23599, SPARK-23806	Update `Spark2` to 2.3.0+ (3/28)
BUG-99672	ATLAS-2524	Hive hook with V2 notifications - incorrect handling of 'alter view as' operation
BUG-99809	HBASE-20375	Remove use of getCurrentUserCredentials in hbase-spark module

Supportability

Bug ID	Apache JIRA	Summary
BUG-87343	HIVE-18031	Support replication for Alter Database operation.
BUG-91293	RANGER-2060	`Knox` proxy with `knox-sso` isn't working for ranger
BUG-93116	RANGER-1957	Ranger Usersync isn't syncing users or groups periodically when incremental sync is enabled.
BUG-93577	RANGER-1938	Solr for Audit setup doesn't use DocValues effectively
BUG-96082	RANGER-1982	Error Improvement for Analytics Metric of Ranger Admin and Ranger `Kms`
BUG-96479	HDFS-12781	After `Datanode` down, In `Namenode` UI `Datanode` tab is throwing warning message.
BUG-97864	HIVE-18833	Auto Merge fails when "insert into directory as orcfile"
BUG-98814	HDFS-13314	NameNode should optionally exit if it detects FsImage corruption

Upgrade

Bug ID	Apache JIRA	Summary
BUG-100134	SPARK-22919	Revert of "Bump Apache httpclient versions"
BUG-95823	N/A	`Knox`: Upgrade `Beanutils`
BUG-96751	KNOX-1076	Update nimbus-jose-jwt to 4.41.2
BUG-97864	HIVE-18833	Auto Merge fails when "insert into directory as orcfile"
BUG-99056	HADOOP-13556	Change Configuration.getPropsWithPrefix to use getProps instead of iterator
BUG-99378	ATLAS-2461, ATLAS-2554	Migration utility to export Atlas data in Titan graph DB

Usability

Bug ID	Apache JIRA	Summary
BUG-100045	HIVE-19056	IllegalArgumentException in FixAcidKeyIndex when ORC file has 0 rows
BUG-100139	KNOX-1243	Normalize the required DNs that are Configured in `KnoxToken` Service
BUG-100570	ATLAS-2557	Fix to allow to `lookup` hadoop `ldap` groups when are groups from UGI are wrongly set or aren't empty
BUG-100646	ATLAS-2102	Atlas UI Improvements: Search results page
BUG-100737	HIVE-19049	Add support for Alter table add columns for Druid
BUG-100750	KNOX-1246	Update service config in `Knox` to support latest configurations for Ranger.
BUG-100965	ATLAS-2581	Regression with V2 Hive hook notifications: Moving table to a different database
BUG-84413	ATLAS-1964	UI: Support to order columns in Search table
BUG-90570	HDFS-11384, HDFS-12347	Add option for balancer to disperse getBlocks calls to avoid NameNode's rpc.CallQueueLength spike
BUG-90584	HBASE-19052	FixedFileTrailer should recognize CellComparatorImpl class in branch-1.x
BUG-90979	KNOX-1224	`Knox` Proxy `HADispatcher` to support Atlas in HA.
BUG-91293	RANGER-2060	`Knox` proxy with knox-sso isn't working for ranger
BUG-92236	ATLAS-2281	Saving Tag/Type attribute filter queries with null/not null filters.
BUG-92238	ATLAS-2282	Saved favorite search appears only on refresh after creation when there are 25+ favorite searches.
BUG-92333	ATLAS-2286	Pre-built type 'kafka_topic' should not declare 'topic' attribute as unique
BUG-92678	ATLAS-2276	Path value for hdfs_path type entity is set to lower case from hive-bridge.
BUG-93097	RANGER-1944	Action filter for Admin Audit isn't working
BUG-93135	HIVE-15874, HIVE-18189	Hive query returning wrong results when set hive.groupby.orderby.position.alias to true
BUG-93136	HIVE-18189	Order by position doesn't work when `cbo` is disabled
BUG-93387	HIVE-17600	Make OrcFile's "enforceBufferSize" user-settable.
BUG-93495	RANGER-1937	Ranger `tagsync` should process ENTITY_CREATE notification, to support Atlas import feature
BUG-93512	PHOENIX-4466	java.lang.RuntimeException: response code 500 - Executing a spark job to connect to phoenix query server and load data
BUG-93801	HBASE-19393	HTTP 413 FULL head while accessing HBase UI using SSL.
BUG-93804	HIVE-17419	ANALYZE TABLE...COMPUTE STATISTICS FOR COLUMNS command shows computed stats for masked tables
BUG-93932	ATLAS-2320	classification "*" with query throws 500 Internal server exception.
BUG-93933	ATLAS-2286	Pre-built type 'kafka_topic' should not declare 'topic' attribute as unique
BUG-93938	ATLAS-2283, ATLAS-2295	UI updates for classifications
BUG-93941	ATLAS-2296, ATLAS-2307	Basic search enhancement to optionally exclude subtype entities and sub-classification-types
BUG-93944	ATLAS-2318	UI: When clicking on child tag twice, parent tag is selected
BUG-93946	ATLAS-2319	UI: Deleting a tag, which at 25+ position in the tag list in both Flat and Tree structure needs a refresh to remove the tag from the list.
BUG-93977	HIVE-16232	Support stats computation for column in QuotedIdentifier
BUG-94030	ATLAS-2332	Creation of type with attributes having nested collection datatype fails
BUG-94099	ATLAS-2352	Atlas server should provide configuration to specify validity for Kerberos DelegationToken
BUG-94280	HIVE-12785	View with union type and UDF to `cast` the struct is broken
BUG-94332	SQOOP-2930	Sqoop job exec not overriding the saved job generic properties
BUG-94428	N/A	`Dataplane` Profiler Agent REST API `Knox` support
BUG-94514	ATLAS-2339	UI: Modifications in "columns" in Basic search result view affects DSL also.
BUG-94515	ATLAS-2169	Delete request fails when hard delete is configured
BUG-94518	ATLAS-2329	Atlas UI Multiple Hovers appear if user click on another tag which is incorrect
BUG-94519	ATLAS-2272	Save the state of dragged columns using save search API.
BUG-94627	HIVE-17731	add a backward `compat` option for external users to HIVE-11985
BUG-94786	HIVE-6091	Empty `pipeout` files are created for connection create/close
BUG-94793	HIVE-14013	Describe table doesn't show unicode properly
BUG-94900	OOZIE-2606, OOZIE-2658, OOZIE-2787, OOZIE-2802	Set spark.yarn.jars to fix Spark 2.0 with Oozie
BUG-94901	HBASE-19285	Add per-table latency histograms
BUG-94908	ATLAS-1921	UI: Search using entity and trait attributes: UI doesn't perform range check and allows providing out of bounds values for integral and float data types.
BUG-95086	RANGER-1953	improvement on user-group page listing
BUG-95193	SLIDER-1252	Slider agent fails with SSL validation errors with Python 2.7.5-58
BUG-95314	YARN-7699	queueUsagePercentage is coming as INF for `getApp` REST api call
BUG-95315	HBASE-13947, HBASE-14517, HBASE-17931	Assign system tables to servers with highest version
BUG-95392	ATLAS-2421	Notification updates to support V2 data structures
BUG-95476	RANGER-1966	Policy engine initialization does not create context enrichers in some cases
BUG-95512	HIVE-18467	support whole warehouse dump / load + create/drop database events
BUG-95593	N/A	Extend Oozie DB utils to support `Spark2` `sharelib` creation
BUG-95595	HIVE-15563	Ignore Illegal Operation state transition exception in SQLOperation.runQuery to expose real exception.
BUG-95685	ATLAS-2422	Export: Support type-based Export
BUG-95798	PHOENIX-2714, PHOENIX-2724, PHOENIX-3023, PHOENIX-3040	Don't use guideposts for executing queries serially
BUG-95969	HIVE-16828, HIVE-17063, HIVE-18390	Partitioned view fails with FAILED: IndexOutOfBoundsException Index: 1, Size: 1
BUG-96019	HIVE-18548	Fix `log4j` import
BUG-96288	HBASE-14123, HBASE-14135, HBASE-17850	Backport HBase Backup/Restore 2.0
BUG-96313	KNOX-1119	`Pac4J` OAuth/OpenID Principal Needs to be Configurable
BUG-96365	ATLAS-2442	User with read-only permission on entity resource not able perform basic search
BUG-96479	HDFS-12781	After `Datanode` down, In `Namenode` UI `Datanode` tab is throwing warning message.
BUG-96502	RANGER-1990	Add One-way SSL MySQL support in Ranger Admin
BUG-96718	ATLAS-2439	Update Sqoop hook to use V2 notifications
BUG-96748	HIVE-18587	insert DML event might attempt to calculate a checksum on directories
BUG-96821	HBASE-18212	In Standalone mode with local filesystem HBase logs Warning message: Failed to invoke 'unbuffer' method in class org.apache.hadoop.fs.FSDataInputStream
BUG-96847	HIVE-18754	REPL STATUS should support 'with' clause
BUG-96873	ATLAS-2443	Capture required entity attributes in outgoing DELETE messages
BUG-96880	SPARK-23230	When hive.default.fileformat is other kinds of file types, create `textfile` table cause a `serde` error
BUG-96911	OOZIE-2571, OOZIE-2792, OOZIE-2799, OOZIE-2923	Improve Spark options parsing
BUG-97100	RANGER-1984	HBase audit log records might not show all tags associated with accessed column
BUG-97110	PHOENIX-3789	Execute cross region index maintenance calls in postBatchMutateIndispensably
BUG-97145	HIVE-12245, HIVE-17829	Support column comments for an HBase backed table
BUG-97409	HADOOP-15255	Upper/Lower case conversion support for group names in LdapGroupsMapping
BUG-97535	HIVE-18710	extend inheritPerms to ACID in Hive 2.X
BUG-97742	OOZIE-1624	Exclusion pattern for `sharelib` JARs
BUG-97744	PHOENIX-3994	Index RPC priority still depends on the controller factory property in hbase-site.xml
BUG-97787	HIVE-18460	Compactor doesn't pass Table properties to the Orc writer
BUG-97788	HIVE-18613	Extend JsonSerDe to support BINARY type
BUG-97899	HIVE-18808	Make compaction more robust when stats update fails
BUG-98038	HIVE-18788	Clean up inputs in JDBC PreparedStatement
BUG-98383	HIVE-18907	Create utility to fix acid key index issue from HIVE-18817
BUG-98388	RANGER-1828	Good coding practice-add more headers in ranger
BUG-98392	RANGER-2007	ranger-tagsync's Kerberos ticket fails to renew
BUG-98533	HBASE-19934, HBASE-20008	HBase snapshot restore is failing due to Null pointer exception
BUG-98552	HBASE-18083, HBASE-18084	Make large/small file clean thread number configurable in HFileCleaner
BUG-98705	KNOX-1230	Many Concurrent Requests to `Knox` causes URL Mangling
BUG-98711	N/A	NiFi dispatch can't use two-way SSL without service.xml modifications
BUG-98880	OOZIE-3199	Let system property restriction configurable
BUG-98931	ATLAS-2491	Update Hive hook to use Atlas v2 notifications
BUG-98983	KNOX-1108	NiFiHaDispatch not failing over
BUG-99088	ATLAS-2511	Provide options to selectively import database / tables from Hive into Atlas
BUG-99154	OOZIE-2844, OOZIE-2845, OOZIE-2858, OOZIE-2885	Spark query failed with "java.io.FileNotFoundException: hive-site.xml (Permission denied)" exception
BUG-99239	ATLAS-2462	Sqoop import for all tables throws NPE for no table provided in command
BUG-99636	KNOX-1238	Fix Custom Truststore Settings for Gateway
BUG-99650	KNOX-1223	Zeppelin's `Knox` proxy doesn't redirect /api/ticket as expected
BUG-99804	OOZIE-2858	HiveMain, ShellMain and SparkMain should not overwrite properties and config files locally
BUG-99805	OOZIE-2885	Running Spark actions should not need Hive on the classpath
BUG-99806	OOZIE-2845	Replace reflection-based code, which sets variable in HiveConf
BUG-99807	OOZIE-2844	Increase stability of Oozie actions when `log4j`.properties is missing or not readable
RMP-9995	AMBARI-22222	Switch druid to use /var/druid directory instead of /apps/druid on local disk

Behavioral changes

Apache Component	Apache JIRA	Summary	Details
Spark 2.3	N/A	Changes as documented in the Apache Spark release notes	- There's a "Deprecation" document and a "Change of behavior" guide, https://spark.apache.org/releases/spark-release-2-3-0.html#deprecations - For SQL part, there's another detailed "Migration" guide (from 2.2 to 2.3), https://spark.apache.org/docs/latest/sql-programming-guide.html#upgrading-from-spark-sql-22-to-23\|
Spark	HIVE-12505	Spark job completes successfully but there's an HDFS disk quota full error	Scenario: Running insert overwrite when a quota is set on the Trash folder of the user who runs the command. Previous Behavior: The job succeeds even though it fails to move the data to the Trash. The result can wrongly contain some of the data previously present in the table. New Behavior: When the move to the Trash folder fails, the files are permanently deleted.
Kafka 1.0	N/A	Changes as documented in the Apache Spark release notes	https://kafka.apache.org/10/documentation.html#upgrade_100_notable
Hive/ Ranger		Another ranger hive policies required for INSERT OVERWRITE	Scenario: Another ranger hive policies required for INSERT OVERWRITE Previous behavior: Hive INSERT OVERWRITE queries succeed as usual. New behavior: Hive INSERT OVERWRITE queries are unexpectedly failing after upgrading to HDP-2.6.x with the error: Error while compiling statement: FAILED: HiveAccessControlException Permission denied: user jdoe does not have WRITE privilege on /tmp/(state=42000,code=40000) As of HDP-2.6.0, Hive INSERT OVERWRITE* queries require a Ranger URI policy to allow write operations, even if the user has write privilege granted through HDFS policy. Workaround/Expected Customer Action: 1. Create a new policy under the Hive repository. 2. In the dropdown where you see Database, select URI. 3. Update the path (Example: /tmp/*) 4. Add the users and group and save. 5. Retry the insert query.
HDFS	N/A	HDFS should support for multiple `KMS Uris`	Previous Behavior: dfs.encryption.key.provider.uri property was used to configure the KMS provider path. New Behavior: dfs.encryption.key.provider.uri is now deprecated in favor of hadoop.security.key.provider.path to configure the KMS provider path.
Zeppelin	ZEPPELIN-3271	Option for disabling scheduler	Component Affected: Zeppelin-Server Previous Behavior: In previous releases of Zeppelin, there was no option for disabling scheduler. New Behavior: By default, users will no longer see scheduler, as it's disabled by default. Workaround/Expected Customer Action: If you want to enable scheduler, you will need to add azeppelin.notebook.cron.enable with value of true under custom zeppelin site in Zeppelin settings from Ambari.

Known issues

HDInsight integration with ADLS Gen 2 There are two issues on HDInsight ESP clusters using Azure Data Lake Storage Gen 2 with user directories and permissions:
1. Home directories for users aren't getting created on Head Node 1. As a workaround, create the directories manually and changes ownership to the respective user’s UPN.
2. Permissions on /hdp directory are currently not set to 751. This needs to be set to
```
chmod 751 /hdp 
chmod –R 755 /hdp/apps
```
Spark 2.3
- [SPARK-23523][SQL] Incorrect result caused by the rule OptimizeMetadataOnlyQuery
- [SPARK-23406] Bugs in stream-stream self-joins
- Spark sample notebooks aren't available when Azure Data Lake Storage (Gen2) is default storage of the cluster.
Enterprise Security Package
- Spark Thrift Server doesn't accept connections from ODBC clients. Workaround steps:
  1. Wait for about 15 minutes after cluster creation.
  2. Check ranger UI for existence of hivesampletable_policy.
  3. Restart Spark service. STS connection should work now.
Workaround for Ranger service check failure
- RANGER-1607: Workaround for Ranger service check failure while upgrading to HDP 2.6.2 from previous HDP versions.
  
  Note
  
  Only when Ranger is SSL enabled.
This issue arises when attempting to upgrade to HDP-2.6.1 from previous HDP versions through Ambari. Ambari uses a curl call to do a service check to Ranger service in Ambari. If the JDK version used by Ambari is JDK-1.7, the curl call will fail with the below error:

curl: (35) error:14077410:SSL routines:SSL23_GET_SERVER_HELLO:sslv3 alert handshake failure

The reason for this error is the tomcat version used in Ranger is Tomcat-7.0.7*. Using JDK-1.7 conflicts with default ciphers provided in Tomcat-7.0.7*.

You can resolve this issue in two ways:
- Update the JDK used in Ambari from JDK-1.7 to JDK-1.8 (see the section Change the JDK Version in the Ambari Reference Guide).
- If you want to continue supporting a JDK-1.7 environment:
  1. Add the property ranger.tomcat.ciphers in the ranger-admin-site section in your Ambari Ranger configuration with the below value:
    
    SSL_RSA_WITH_RC4_128_MD5, SSL_RSA_WITH_RC4_128_SHA, TLS_RSA_WITH_AES_128_CBC_SHA, SSL_RSA_WITH_3DES_EDE_CBC_SHA
  2. If your environment is configured for Ranger-KMS, add the property ranger.tomcat.ciphers in theranger-kms-site section in your Ambari Ranger configuration with the below value:
    
    SSL_RSA_WITH_RC4_128_MD5, SSL_RSA_WITH_RC4_128_SHA, TLS_RSA_WITH_AES_128_CBC_SHA, SSL_RSA_WITH_3DES_EDE_CBC_SHA
Note

The noted values are working examples and might not be indicative of your environment. Ensure that the way you set these properties matches how your environment is configured.

RangerUI: Escape of policy condition text entered in the policy form

Component Affected: Ranger

Description of Problem

If a user wants to create policy with custom policy conditions and the expression or text contains special characters, then policy enforcement won't work. Special characters are converted into ASCII before saving the policy into the database.

Special Characters: & < > " ` '

For example, the condition tags.attributes['type']='abc' would get converted to the following once the policy is saved.

tags.attds['dsds']='cssdfs'

You can see the policy condition with these characters by opening the policy in edit mode.

Workaround

Option #1: Create/Update policy via Ranger REST API

REST URL: http://<host>:6080/service/plugins/policies

Creating policy with policy condition:

The following example will create policy with tags as `tags-test` and assign it to `public` group with policy condition astags.attr['type']=='abc' by selecting all hive component permissions like select, update, create, drop, alter, index, lock, all.

Example:

  curl -H "Content-Type: application/json" -X POST http://localhost:6080/service/plugins/policies -u admin:admin -d '{"policyType":"0","name":"P100","isEnabled":true,"isAuditEnabled":true,"description":"","resources":{"tag":{"values":["tags-test"],"isRecursive":"","isExcludes":false}},"policyItems":[{"groups":["public"],"conditions":[{"type":"accessed-after-expiry","values":[]},{"type":"tag-expression","values":["tags.attr['type']=='abc'"]}],"accesses":[{"type":"hive:select","isAllowed":true},{"type":"hive:update","isAllowed":true},{"type":"hive:create","isAllowed":true},{"type":"hive:drop","isAllowed":true},{"type":"hive:alter","isAllowed":true},{"type":"hive:index","isAllowed":true},{"type":"hive:lock","isAllowed":true},{"type":"hive:all","isAllowed":true}]}],"denyPolicyItems":[],"allowExceptions":[],"denyExceptions":[],"service":"tagdev"}'

Update existing policy with policy condition:

The following example will update policy with tags as `tags-test` and assign it to `public` group with policy condition astags.attr['type']=='abc' by selecting all hive component permissions like select, update, create, drop, alter, index, lock, all.

REST URL: http://<host-name>:6080/service/plugins/policies/<policy-id>

Example:

  curl -H "Content-Type: application/json" -X PUT http://localhost:6080/service/plugins/policies/18 -u admin:admin -d '{"id":18,"guid":"ea78a5ed-07a5-447a-978d-e636b0490a54","isEnabled":true,"createdBy":"Admin","updatedBy":"Admin","createTime":1490802077000,"updateTime":1490802077000,"version":1,"service":"tagdev","name":"P0101","policyType":0,"description":"","resourceSignature":"e5fdb911a25aa7f77af5a9546938d9ed","isAuditEnabled":true,"resources":{"tag":{"values":["tags"],"isExcludes":false,"isRecursive":false}},"policyItems":[{"accesses":[{"type":"hive:select","isAllowed":true},{"type":"hive:update","isAllowed":true},{"type":"hive:create","isAllowed":true},{"type":"hive:drop","isAllowed":true},{"type":"hive:alter","isAllowed":true},{"type":"hive:index","isAllowed":true},{"type":"hive:lock","isAllowed":true},{"type":"hive:all","isAllowed":true}],"users":[],"groups":["public"],"conditions":[{"type":"ip-range","values":["tags.attributes['type']=abc"]}],"delegateAdmin":false}],"denyPolicyItems":[],"allowExceptions":[],"denyExceptions":[],"dataMaskPolicyItems":[],"rowFilterPolicyItems":[]}'

Option #2: Apply JavaScript changes

Steps to update JS file:
1. Find out PermissionList.js file under /usr/hdp/current/ranger-admin
2. Find out definition of renderPolicyCondtion function (line no: 404).
3. Remove following line from that function i.e under display function(line no: 434)
  
  val = _.escape(val);//Line No:460
  
  After removing the above line, the Ranger UI will allow you to create policies with policy condition that can contain special characters and policy evaluation will be successful for the same policy.

HDInsight Integration with ADLS Gen 2: User directories and permissions issue with ESP clusters 1. Home directories for users aren't getting created on Head Node 1. Workaround is to create these manually and changes ownership to the respective user’s UPN. 2. Permissions on /hdp are currently not set to 751. This needs to be set to a. chmod 751 /hdp b. chmod –R 755 /hdp/apps

Deprecation

OMS Portal: We've removed the link from HDInsight resource page that was pointing to OMS portal. Azure Monitor logs initially used its own portal called the OMS portal to manage its configuration and analyze collected data. All functionality from this portal has been moved to the Azure portal where it will continue to be developed. HDInsight has deprecated the support for OMS portal. Customers will use HDInsight Azure Monitor logs integration in Azure portal.
Spark 2.3: Spark Release 2.3.0 deprecations

Upgrading

All of these features are available in HDInsight 3.6. To get the latest version of Spark, Kafka and R Server (Machine Learning Services), choose the Spark, Kafka, ML Services version when you create a HDInsight 3.6 cluster. To get support for ADLS, you can choose the ADLS storage type as an option. Existing clusters won't be upgraded to these versions automatically.

All new clusters created after June 2018 will automatically get across the 1000+ bug fixes across all the open-source projects. Follow this guide for best practices around upgrading to a newer HDInsight version.

Deila með

Archived release notes

Summary

Release Information

Release date: Aug 30, 2024

Issue fixed

Coming soon

Release date: Aug 09, 2024

Updates

Release date: Jul 05, 2024

Fixed issues

Release date: Jun 19, 2024

Fixed issues

Release date: May 16, 2024

Release date: April 15, 2024

Release date: February 15, 2024

New features

Coming soon

Next steps

Release date: January 10, 2024

Fixed issues

Coming soon

Release date: October 26, 2023

What's new

Coming soon

Release date: September 7, 2023

Coming soon

Release date: July 25, 2023

What's new

Coming soon

Release date: May 08, 2023

Release date: February 28, 2023

What's next

Release date: December 12, 2022

Open source bug fixes

Release date: 08/10/2022

New Feature

Fixed

Log analytics

Other bug fixes

Open source bug fixes

TEZ bug fixes

Hive bug fixes

Known issues

Release date: 08/10/2022

New Feature

Fixed

Log analytics

Other bug fixes

Open source bug fixes

TEZ bug fixes

Hive bug fixes

Known issues

Release date: 06/03/2022

Release highlights

Ambari

TEZ bug fixes

HBase bug fixes

Hive bug fixes

Release date: 03/10/2022

Spark 3.1 is now generally available

Kafka 2.4 is now generally available

Map Datatype in HWC is now supported in HDInsight 4.0

New regions

OSS backport changes

Here are the OSS backported Apache JIRAs for this release:

Deprecation notices

Azure Virtual Machine Scale Sets on HDInsight

Scaling of Azure HDInsight HBase workloads will now be supported only using manual scale

Release date: 12/27/2021

Release date: 07/27/2021

New features

Azure HDInsight support for Restricted Public Connectivity is generally available on Oct 15, 2021

Azure HDInsight support for Azure Private Link is generally available on Oct 15 2021

New Azure Monitor integration experience (Preview)

Deprecation

Behavior changes

HDInsight Interactive Query only supports schedule-based Autoscale

Upcoming changes

Built-in LLAP component in ESP Spark cluster will be removed

Price Correction for HDInsight `Dv2` Virtual Machines

`Eav4`-series support

Default cluster VM sizes are changed to `Ev3`-series

Default cluster VM size changes to `Ev3`-series