Databricks Runtime 8.4 (EoS)
Note
Support for this Databricks Runtime version has ended. For the end-of-support date, see End-of-support history. For all supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.
The following release notes provide information about Databricks Runtime 8.4 and Databricks Runtime 8.4 Photon, powered by Apache Spark 3.1.2. Databricks released this version in July 2021. Photon is in Public Preview.
New features and improvements
- Delta Lake features and improvements
- Auto Loader features and improvements
- Connector upgrades
- Bug fixes
Delta Lake features and improvements
- Delta table change data feed (GA)
- Load shared Delta tables easily with Databricks Runtime
- More tables benefit from dynamic file pruning
- Better performance with automatic target file size tuning
- More ways to specify tables in
DeltaTable.forName - Robust streaming multi-table writes using
foreachBatch - Improved read query performance in certain workloads due to tuned checkpoints
- Create
GroupStateto test user defined Structured Streaming functions
Delta table change data feed (GA)
The Delta table change data feed is now generally available. It represents the row level changes between different versions of the table. When enabled, additional information is recorded regarding row level changes for every write operation on the table. See Use Delta Lake change data feed on Azure Databricks.
Load shared Delta tables easily with Databricks Runtime
The Apache Spark Connector for Delta Sharing 0.1.0 is now in Databricks Runtime. You can load a shared table using spark.read.format("deltaSharing").load(uri) directly without attaching the Delta Sharing Spark connector to your cluster.
More tables benefit from dynamic file pruning
The dynamic file pruning feature has been tuned to trigger on tables with fewer files. See Dynamic file pruning.
Better performance with automatic target file size tuning
The target file size for Delta tables is now automatically tuned based on the table size. Previously, the target file size for OPTIMIZE and OPTIMIZE ZORDER BY was 1GB. With autotuning based on table size, Delta tables up to 2.56TB will use 256MB as the target size. Tables larger than 10TB will use 1GB as before. Tables between these sizes will use target sizes that grow proportionally with the table size.
See Configure Delta Lake to control data file size.
More ways to specify tables in DeltaTable.forName
DeltaTable.forName now supports using delta.`<path>` to identify tables.
Robust streaming multi-table writes using foreachBatch
Idempotent Delta streaming writes within the foreachBatch() command are now supported. For details, see Idempotent multi-table writes.
Improved read query performance in certain workloads due to tuned checkpoints
Delta Lake now tunes how frequently it does enhanced checkpoints. Instead of checkpointing at a fixed interval, Delta now dynamically adjusts the checkpoint frequency based on certain event triggers. This improves read query performance in workloads where some data skipping optimization couldn’t be applied before. To use these optimizations, upgrade your jobs that write to Delta Lake to Databricks Runtime 8.4. See Enable enhanced checkpoints for Structured Streaming queries.
Create GroupState to test user defined Structured Streaming functions
Until now, only the Structured Streaming engine could create instances of GroupState. Hence, any unit tests of the user-defined function required running a streaming query in Apache Spark.
Now you can create instances of GroupState using TestGroupState.create(…). This allow you to test a user-defined function in simple unit tests that do not require running Spark. See Test the mapGroupsWithState update function. Specifically, it produces instances of type TestGroupState that extends the interface GroupState with additional methods for introspecting the internal state after the user-defined function has been applied.
Auto Loader features and improvements
- Configure backfilling to capture missed files
- Bound storage footprint for large volume streams
- Simplified configuration with pathless support
Configure backfilling to capture missed files
Auto Loader now supports performing backfills asynchronously to capture any files that could have been missed with file notifications. File storage systems and notification systems cannot guarantee 100% delivery of all file events. Therefore Databricks recommends enabling periodic backfills to capture all of your data with Auto Loader. Use the cloudFiles.backfillInterval option to schedule regular backfills over your data. See Common Auto Loader options.
Bound storage footprint for large volume streams
You can now configure Auto Loader to expire and remove entries in RocksDB to bound its storage footprint in the checkpoint location. Databricks does not recommend that you use unless you are ingesting data in the order of millions of files an hour. Setting this option incorrectly or attempting to tune it can lead to many data quality issues, such as unprocessed files being ignored or duplicate of some files instead of exactly once processing. For details, see Event retention.
Simplified configuration with pathless support
S3 buckets
You can now provide the SQS queue that receives events from multiple paths or S3 buckets.
If you provide the SQS queue URL, the path option is not required for this use case.
Auto Loader constructs S3 paths using the bucket and key from the S3 events. If you want to read the files
through DBFS mount points, you can use cloudFiles.pathRewrites to change path prefixes to DBFS. This is not required unless you’re accessing data in different accounts with AssumeRole.
See File notification options.
Azure Data Lake Storage Gen2 containers
You can now provide the Azure queue that receives events from multiple containers.
If you provide the Azure queue name, the path option is not required.
By default, Auto Loader constructs Azure Data Lake Storage Gen2 paths using the container and key in the file events.
If you want to use WASB paths or DBFS mount points, you can use cloudFiles.pathRewrites to change path prefixes.
See File notification options.
Connector upgrades
- The Snowflake Spark connector has been updated to v2.9.0.
- KMS encryption is now supported in the
UNLOADstatement of the Redshift connector.
Bug fixes
- Fixed an issue for clusters enabled with table access control where
select * from foldercan show folder content even if the user has no file access permission. - Non-admin database owners are now able to drop non-owned tables in databases. This fixes the issue where database owners could not drop a database if non-owned tables existed in the database.
Library upgrades
- Upgraded Python libraries:
- certifi upgraded from 2020.12.5 to 2021.5.30
- distill upgraded from 0.3.1 to 0.3.2
- koalas upgraded from 1.8.0 to 1.8.1
- protobuf upgraded from 3.17.0 to 3.17.3
- Upgraded R libraries:
- base from 4.0.4 to 4.1.0
- boot from 1.3-27 to 1.3-28
- class from 7.3-18 to 7.3-19
- cluster from 2.1.1 to 2.1.2
- compiler from 4.0.4 to 4.1.0
- datasets from 4.0.4 to 4.1.0
- graphics from 4.0.4 to 4.1.0
- grDevices from 4.0.4 to 4.1.0
- grid from 4.0.4 to 4.1.0
- KernSmooth from 2.23-18 to 2.23-20
- lattice from 0.20-41 to 0.20-44
- MASS from 7.3-53.1 to 7.3-54
- Matrix from 1.3-2 to 1.3-3
- methods from 4.0.4 to 4.1.0
- mgcv from 1.8-33 to 1.8-35
- nnet from 7.3-15 to 7.3-16
- parallel from 4.0.4 to 4.1.0
- Rserve from 1.8-7 to 1.8-8
- SparkR from 3.1.1 to 3.1.2
- splines from 4.0.4 to 4.1.0
- stats from 4.0.4 to 4.1.0
- stats4 from 4.0.4 to 4.1.0
- survival from 3.2-7 to 3.2-11
- tcltk from 4.0.4 to 4.1.0
- tools from 4.0.4 to 4.1.0
- utils from 4.0.4 to 4.1.0
- Upgraded Java libraries:
- snowflake-jdbc from 3.12.8 to 3.13.3
- spark-snowflake_2.12 from 2.8.1-spark_3.0 to 2.9.0-spark_3.1
- RoaringBitmap from 0.9.0 to 0.9.14
- shims from 0.9.0 to 0.9.14
- rocksdbjni fromm 6.2.2 to 6.20.3
Apache Spark
Databricks Runtime 8.4 includes Apache Spark 3.1.2. This release includes all Spark fixes and improvements included in Databricks Runtime 8.3 (EoS), as well as the following additional bug fixes and improvements made to Spark:
- [SPARK-35792] [SQL] View should not capture configs used in
RelationConversions - [SPARK-35700] [SQL] Read char/varchar orc table with created and written by external systems
- [SPARK-35636] [SQL] Lambda keys should not be referenced outside of the lambda function
- [SPARK-35800] [Cherry Pick] Improving GroupState testability by introducing TestGroupState
- [SPARK-35391] Fix memory leak in ExecutorAllocationListener
- [SPARK-35799] [CherryPick] Fix the allUpdatesTimeMs metric measuring in FlatMapGroupsWithStateExec
- [SPARK-35763] [SS] Remove the StateStoreCustomMetric subclass enumeration dependency
- [SPARK-35791 [SQL] Release on-going map properly for NULL-aware ANTI join
- [SPARK-35695] [SQL] Collect observed metrics from cached and adaptive execution sub-trees
- [SPARK-35767] [SQL] Avoid executing child plan twice in CoalesceExec
- [SPARK-35746] [UI] Fix taskid in the stage page task event timeline
- [SPARK-35673] [SQL] Fix user-defined hint and unrecognized hint in subquery.
- [SPARK-35714] [CORE] Bug fix for deadlock during the executor shutdown
- [SPARK-35689] [SS] Add log warn when keyWithIndexToValue returns null value
- [SPARK-35589] [CORE][3.1] BlockManagerMasterEndpoint should not ignore index-only shuffle file during updating
- [SPARK-35643] [PYTHON] Fix ambiguous reference in functions.py column()
- [SPARK-35652] [SQL] joinWith on two table generated from same one
- [SPARK-35679] [SQL] instantToMicros overflow
- [SPARK-35602] [SS] Update state schema to be able to accept long length JSON
- [SPARK-35653] [SQL] Fix CatalystToExternalMap interpreted path fails for Map with case classes as keys or values
- [SPARK-35296] [SQL] Allow Dataset.observe to work even if CollectMetricsExec in a task handles multiple partitions.
- [SPARK-35659] [SS] Avoid write null to StateStore
- [SPARK-35665] [SQL] Resolve UnresolvedAlias in CollectMetrics
- [SPARK-35558] Optimizes for multi-quantile retrieval
- [SPARK-35621] [SQL] Add rule id pruning to the TypeCoercion rule
- [SPARK-35077] [SQL] Migrate to transformWithPruning for leftover optimizer rules
- [SPARK-35610] [CORE] Fix the memory leak introduced by the Executor’s stop shutdown hook
- [SPARK-35544] [SQL] Add tree pattern pruning to Analyzer rules
- [SPARK-35566] [SS] Fix StateStoreRestoreExec output rows
- [SPARK-35454] [SQL][3.1] One LogicalPlan can match multiple dataset ids
- [SPARK-35538] [SQL] Migrate transformAllExpressions call sites to use transformAllExpressionsWithPruning
- [SPARK-35106] [Core][SQL] Avoid failing rename caused by destination directory not exist
- [SPARK-35287] [SQL] Allow RemoveRedundantProjects to preserve ProjectExec which generates UnsafeRow for DataSourceV2ScanRelation
- [SPARK-35495] [R] Change SparkR maintainer for CRAN
- [SPARK-27991] [CORE] Defer the fetch request on Netty OOM
- [SPARK-35171] [R] Declare the markdown package as a dependency of the SparkR package
- [SPARK-35454] [SQL] One LogicalPlan can match multiple dataset ids
- [SPARK-35298] [SQL] Migrate to transformWithPruning for rules in Optimizer.scala
- [SPARK-35480] [SQL] Make percentile_approx work with pivot
- [SPARK-35093] [SQL] AQE now uses newQueryStage plan as key for looking up cached exchanges for re-use
- [SPARK-35146] [SQL] Migrate to transformWithPruning or resolveWithPruning for rules in finishAnalysis.scala
- [SPARK-35411] [SQL] Add essential information while serializing TreeNode to json
- [SPARK-35294] [SQL] Add tree traversal pruning in rules with dedicated files under optimizer
- [SPARK-34897] [SQL][3.1] Support reconcile schemas based on index after nested column pruning
- [SPARK-35144] [SQL] Migrate to transformWithPruning for object rules
- [SPARK-35155] [SQL] Add rule id pruning to Analyzer rules
- [SPARK-35382] [PYTHON] Fix lambda variable name issues in nested DataFrame functions in Python APIs.
- [SPARK-35359] [SQL] Insert data with char/varchar datatype will fail when data length exceed length limitation
- [SPARK-35381] [R] Fix lambda variable name issues in nested higher order functions at R APIs
System environment
- Operating System: Ubuntu 18.04.5 LTS
- Java: Zulu 8.54.0.21-CA-linux64
- Scala: 2.12.10
- Python: 3.8.8
- R: 4.1.0 (2021-05-18)
- Delta Lake 1.0.0
Installed Python libraries
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| appdirs | 1.4.4 | asn1crypto | 1.4.0 | backcall | 0.2.0 |
| boto3 | 1.16.7 | botocore | 1.19.7 | brotlipy | 0.7.0 |
| certifi | 2021.5.30 | cffi | 1.14.3 | chardet | 3.0.4 |
| cryptography | 3.1.1 | cycler | 0.10.0 | Cython | 0.29.21 |
| decorator | 4.4.2 | distlib | 0.3.2 | docutils | 0.15.2 |
| entrypoints | 0.3 | facets-overview | 1.0.0 | filelock | 3.0.12 |
| idna | 2.10 | ipykernel | 5.3.4 | ipython | 7.19.0 |
| ipython-genutils | 0.2.0 | jedi | 0.17.2 | jmespath | 0.10.0 |
| joblib | 0.17.0 | jupyter-client | 6.1.7 | jupyter-core | 4.6.3 |
| kiwisolver | 1.3.0 | koalas | 1.8.1 | matplotlib | 3.2.2 |
| numpy | 1.19.2 | pandas | 1.1.5 | parso | 0.7.0 |
| patsy | 0.5.1 | pexpect | 4.8.0 | pickleshare | 0.7.5 |
| pip | 20.2.4 | plotly | 4.14.3 | prompt-toolkit | 3.0.8 |
| protobuf | 3.17.3 | psycopg2 | 2.8.5 | ptyprocess | 0.6.0 |
| pyarrow | 1.0.1 | pycparser | 2.20 | Pygments | 2.7.2 |
| pyOpenSSL | 19.1.0 | pyparsing | 2.4.7 | PySocks | 1.7.1 |
| python-dateutil | 2.8.1 | pytz | 2020.5 | pyzmq | 19.0.2 |
| requests | 2.24.0 | retrying | 1.3.3 | s3transfer | 0.3.6 |
| scikit-learn | 0.23.2 | scipy | 1.5.2 | seaborn | 0.10.0 |
| setuptools | 50.3.1 | six | 1.15.0 | statsmodels | 0.12.0 |
| threadpoolctl | 2.1.0 | tornado | 6.0.4 | traitlets | 5.0.5 |
| urllib3 | 1.25.11 | virtualenv | 20.2.1 | wcwidth | 0.2.5 |
| wheel | 0.35.1 |
Installed R libraries
R libraries are installed from the Microsoft CRAN snapshot on 2020-11-02.
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| askpass | 1.1 | assertthat | 0.2.1 | backports | 1.2.1 |
| base | 4.1.0 | base64enc | 0.1-3 | BH | 1.72.0-3 |
| bit | 4.0.4 | bit64 | 4.0.5 | blob | 1.2.1 |
| boot | 1.3-28 | brew | 1.0-6 | brio | 1.1.0 |
| broom | 0.7.2 | callr | 3.5.1 | caret | 6.0-86 |
| cellranger | 1.1.0 | chron | 2.3-56 | class | 7.3-19 |
| cli | 2.2.0 | clipr | 0.7.1 | cluster | 2.1.2 |
| codetools | 0.2-18 | colorspace | 2.0-0 | commonmark | 1.7 |
| compiler | 4.1.0 | config | 0.3 | covr | 3.5.1 |
| cpp11 | 0.2.4 | crayon | 1.3.4 | credentials | 1.3.0 |
| crosstalk | 1.1.0.1 | curl | 4.3 | data.table | 1.13.4 |
| datasets | 4.1.0 | DBI | 1.1.0 | dbplyr | 2.0.0 |
| desc | 1.2.0 | devtools | 2.3.2 | diffobj | 0.3.2 |
| digest | 0.6.27 | dplyr | 1.0.2 | DT | 0.16 |
| ellipsis | 0.3.1 | evaluate | 0.14 | fansi | 0.4.1 |
| farver | 2.0.3 | fastmap | 1.0.1 | forcats | 0.5.0 |
| foreach | 1.5.1 | foreign | 0.8-81 | forge | 0.2.0 |
| fs | 1.5.0 | future | 1.21.0 | generics | 0.1.0 |
| gert | 1.0.2 | ggplot2 | 3.3.2 | gh | 1.2.0 |
| gitcreds | 0.1.1 | glmnet | 4.0-2 | globals | 0.14.0 |
| glue | 1.4.2 | gower | 0.2.2 | graphics | 4.1.0 |
| grDevices | 4.1.0 | grid | 4.1.0 | gridExtra | 2.3 |
| gsubfn | 0.7 | gtable | 0.3.0 | haven | 2.3.1 |
| highr | 0.8 | hms | 0.5.3 | htmltools | 0.5.0 |
| htmlwidgets | 1.5.3 | httpuv | 1.5.4 | httr | 1.4.2 |
| hwriter | 1.3.2 | hwriterPlus | 1.0-3 | ini | 0.3.1 |
| ipred | 0.9-9 | isoband | 0.2.3 | iterators | 1.0.13 |
| jsonlite | 1.7.2 | KernSmooth | 2.23-20 | knitr | 1.30 |
| labeling | 0.4.2 | later | 1.1.0.1 | lattice | 0.20-44 |
| lava | 1.6.8.1 | lazyeval | 0.2.2 | lifecycle | 0.2.0 |
| listenv | 0.8.0 | lubridate | 1.7.9.2 | magrittr | 2.0.1 |
| markdown | 1.1 | MASS | 7.3-54 | Matrix | 1.3-3 |
| memoise | 1.1.0 | methods | 4.1.0 | mgcv | 1.8-35 |
| mime | 0.9 | ModelMetrics | 1.2.2.2 | modelr | 0.1.8 |
| munsell | 0.5.0 | nlme | 3.1-152 | nnet | 7.3-16 |
| numDeriv | 2016.8-1.1 | openssl | 1.4.3 | parallel | 4.1.0 |
| parallelly | 1.22.0 | pillar | 1.4.7 | pkgbuild | 1.1.0 |
| pkgconfig | 2.0.3 | pkgload | 1.1.0 | plogr | 0.2.0 |
| plyr | 1.8.6 | praise | 1.0.0 | prettyunits | 1.1.1 |
| pROC | 1.16.2 | processx | 3.4.5 | prodlim | 2019.11.13 |
| progress | 1.2.2 | promises | 1.1.1 | proto | 1.0.0 |
| ps | 1.5.0 | purrr | 0.3.4 | r2d3 | 0.2.3 |
| R6 | 2.5.0 | randomForest | 4.6-14 | rappdirs | 0.3.1 |
| rcmdcheck | 1.3.3 | RColorBrewer | 1.1-2 | Rcpp | 1.0.5 |
| readr | 1.4.0 | readxl | 1.3.1 | recipes | 0.1.15 |
| rematch | 1.0.1 | rematch2 | 2.1.2 | remotes | 2.2.0 |
| reprex | 0.3.0 | reshape2 | 1.4.4 | rex | 1.2.0 |
| rlang | 0.4.9 | rmarkdown | 2.6 | RODBC | 1.3-17 |
| roxygen2 | 7.1.1 | rpart | 4.1-15 | rprojroot | 2.0.2 |
| Rserve | 1.8-8 | RSQLite | 2.2.1 | rstudioapi | 0.13 |
| rversions | 2.0.2 | rvest | 0.3.6 | scales | 1.1.1 |
| selectr | 0.4-2 | sessioninfo | 1.1.1 | shape | 1.4.5 |
| shiny | 1.5.0 | sourcetools | 0.1.7 | sparklyr | 1.5.2 |
| SparkR | 3.1.1 | spatial | 7.3-11 | splines | 4.1.0 |
| sqldf | 0.4-11 | SQUAREM | 2020.5 | stats | 4.1.0 |
| stats4 | 4.1.0 | stringi | 1.5.3 | stringr | 1.4.0 |
| survival | 3.2-11 | sys | 3.4 | tcltk | 4.1.0 |
| TeachingDemos | 2.10 | testthat | 3.0.0 | tibble | 3.0.4 |
| tidyr | 1.1.2 | tidyselect | 1.1.0 | tidyverse | 1.3.0 |
| timeDate | 3043.102 | tinytex | 0.28 | tools | 4.1.0 |
| usethis | 2.0.0 | utf8 | 1.1.4 | utils | 4.1.0 |
| uuid | 0.1-4 | vctrs | 0.3.5 | viridisLite | 0.3.0 |
| waldo | 0.2.3 | whisker | 0.4 | withr | 2.3.0 |
| xfun | 0.19 | xml2 | 1.3.2 | xopen | 1.0.0 |
| xtable | 1.8-4 | yaml | 2.2.1 | zip | 2.1.1 |
Installed Java and Scala libraries (Scala 2.12 cluster version)
| Group ID | Artifact ID | Version |
|---|---|---|
| antlr | antlr | 2.7.7 |
| com.amazonaws | amazon-kinesis-client | 1.12.0 |
| com.amazonaws | aws-java-sdk-autoscaling | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudformation | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudfront | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudhsm | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudsearch | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudtrail | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudwatch | 1.11.655 |
| com.amazonaws | aws-java-sdk-cloudwatchmetrics | 1.11.655 |
| com.amazonaws | aws-java-sdk-codedeploy | 1.11.655 |
| com.amazonaws | aws-java-sdk-cognitoidentity | 1.11.655 |
| com.amazonaws | aws-java-sdk-cognitosync | 1.11.655 |
| com.amazonaws | aws-java-sdk-config | 1.11.655 |
| com.amazonaws | aws-java-sdk-core | 1.11.655 |
| com.amazonaws | aws-java-sdk-datapipeline | 1.11.655 |
| com.amazonaws | aws-java-sdk-directconnect | 1.11.655 |
| com.amazonaws | aws-java-sdk-directory | 1.11.655 |
| com.amazonaws | aws-java-sdk-dynamodb | 1.11.655 |
| com.amazonaws | aws-java-sdk-ec2 | 1.11.655 |
| com.amazonaws | aws-java-sdk-ecs | 1.11.655 |
| com.amazonaws | aws-java-sdk-efs | 1.11.655 |
| com.amazonaws | aws-java-sdk-elasticache | 1.11.655 |
| com.amazonaws | aws-java-sdk-elasticbeanstalk | 1.11.655 |
| com.amazonaws | aws-java-sdk-elasticloadbalancing | 1.11.655 |
| com.amazonaws | aws-java-sdk-elastictranscoder | 1.11.655 |
| com.amazonaws | aws-java-sdk-emr | 1.11.655 |
| com.amazonaws | aws-java-sdk-glacier | 1.11.655 |
| com.amazonaws | aws-java-sdk-glue | 1.11.655 |
| com.amazonaws | aws-java-sdk-iam | 1.11.655 |
| com.amazonaws | aws-java-sdk-importexport | 1.11.655 |
| com.amazonaws | aws-java-sdk-kinesis | 1.11.655 |
| com.amazonaws | aws-java-sdk-kms | 1.11.655 |
| com.amazonaws | aws-java-sdk-lambda | 1.11.655 |
| com.amazonaws | aws-java-sdk-logs | 1.11.655 |
| com.amazonaws | aws-java-sdk-machinelearning | 1.11.655 |
| com.amazonaws | aws-java-sdk-marketplacemeteringservice | 1.11.655 |
| com.amazonaws | aws-java-sdk-opsworks | 1.11.655 |
| com.amazonaws | aws-java-sdk-rds | 1.11.655 |
| com.amazonaws | aws-java-sdk-redshift | 1.11.655 |
| com.amazonaws | aws-java-sdk-route53 | 1.11.655 |
| com.amazonaws | aws-java-sdk-s3 | 1.11.655 |
| com.amazonaws | aws-java-sdk-ses | 1.11.655 |
| com.amazonaws | aws-java-sdk-simpledb | 1.11.655 |
| com.amazonaws | aws-java-sdk-simpleworkflow | 1.11.655 |
| com.amazonaws | aws-java-sdk-sns | 1.11.655 |
| com.amazonaws | aws-java-sdk-sqs | 1.11.655 |
| com.amazonaws | aws-java-sdk-ssm | 1.11.655 |
| com.amazonaws | aws-java-sdk-storagegateway | 1.11.655 |
| com.amazonaws | aws-java-sdk-sts | 1.11.655 |
| com.amazonaws | aws-java-sdk-support | 1.11.655 |
| com.amazonaws | aws-java-sdk-swf-libraries | 1.11.22 |
| com.amazonaws | aws-java-sdk-workspaces | 1.11.655 |
| com.amazonaws | jmespath-java | 1.11.655 |
| com.chuusai | shapeless_2.12 | 2.3.3 |
| com.clearspring.analytics | stream | 2.9.6 |
| com.databricks | Rserve | 1.8-3 |
| com.databricks | jets3t | 0.7.1-0 |
| com.databricks.scalapb | compilerplugin_2.12 | 0.4.15-10 |
| com.databricks.scalapb | scalapb-runtime_2.12 | 0.4.15-10 |
| com.esotericsoftware | kryo-shaded | 4.0.2 |
| com.esotericsoftware | minlog | 1.3.0 |
| com.fasterxml | classmate | 1.3.4 |
| com.fasterxml.jackson.core | jackson-annotations | 2.10.0 |
| com.fasterxml.jackson.core | jackson-core | 2.10.0 |
| com.fasterxml.jackson.core | jackson-databind | 2.10.0 |
| com.fasterxml.jackson.dataformat | jackson-dataformat-cbor | 2.10.0 |
| com.fasterxml.jackson.datatype | jackson-datatype-joda | 2.10.0 |
| com.fasterxml.jackson.module | jackson-module-paranamer | 2.10.0 |
| com.fasterxml.jackson.module | jackson-module-scala_2.12 | 2.10.0 |
| com.github.ben-manes.caffeine | caffeine | 2.3.4 |
| com.github.fommil | jniloader | 1.1 |
| com.github.fommil.netlib | core | 1.1.2 |
| com.github.fommil.netlib | native_ref-java | 1.1 |
| com.github.fommil.netlib | native_ref-java-natives | 1.1 |
| com.github.fommil.netlib | native_system-java | 1.1 |
| com.github.fommil.netlib | native_system-java-natives | 1.1 |
| com.github.fommil.netlib | netlib-native_ref-linux-x86_64-natives | 1.1 |
| com.github.fommil.netlib | netlib-native_system-linux-x86_64-natives | 1.1 |
| com.github.joshelser | dropwizard-metrics-hadoop-metrics2-reporter | 0.1.2 |
| com.github.luben | zstd-jni | 1.4.8-1 |
| com.github.wendykierp | JTransforms | 3.1 |
| com.google.code.findbugs | jsr305 | 3.0.0 |
| com.google.code.gson | gson | 2.2.4 |
| com.google.flatbuffers | flatbuffers-java | 1.9.0 |
| com.google.guava | guava | 15.0 |
| com.google.protobuf | protobuf-java | 2.6.1 |
| com.h2database | h2 | 1.4.195 |
| com.helger | profiler | 1.1.1 |
| com.jcraft | jsch | 0.1.50 |
| com.jolbox | bonecp | 0.8.0.RELEASE |
| com.lihaoyi | sourcecode_2.12 | 0.1.9 |
| com.microsoft.azure | azure-data-lake-store-sdk | 2.3.9 |
| com.microsoft.sqlserver | mssql-jdbc | 9.2.1.jre8 |
| com.ning | compress-lzf | 1.0.3 |
| com.sun.mail | javax.mail | 1.5.2 |
| com.tdunning | json | 1.8 |
| com.thoughtworks.paranamer | paranamer | 2.8 |
| com.trueaccord.lenses | lenses_2.12 | 0.4.12 |
| com.twitter | chill-java | 0.9.5 |
| com.twitter | chill_2.12 | 0.9.5 |
| com.twitter | util-app_2.12 | 7.1.0 |
| com.twitter | util-core_2.12 | 7.1.0 |
| com.twitter | util-function_2.12 | 7.1.0 |
| com.twitter | util-jvm_2.12 | 7.1.0 |
| com.twitter | util-lint_2.12 | 7.1.0 |
| com.twitter | util-registry_2.12 | 7.1.0 |
| com.twitter | util-stats_2.12 | 7.1.0 |
| com.typesafe | config | 1.2.1 |
| com.typesafe.scala-logging | scala-logging_2.12 | 3.7.2 |
| com.univocity | univocity-parsers | 2.9.1 |
| com.zaxxer | HikariCP | 3.1.0 |
| commons-beanutils | commons-beanutils | 1.9.4 |
| commons-cli | commons-cli | 1.2 |
| commons-codec | commons-codec | 1.10 |
| commons-collections | commons-collections | 3.2.2 |
| commons-configuration | commons-configuration | 1.6 |
| commons-dbcp | commons-dbcp | 1.4 |
| commons-digester | commons-digester | 1.8 |
| commons-fileupload | commons-fileupload | 1.3.3 |
| commons-httpclient | commons-httpclient | 3.1 |
| commons-io | commons-io | 2.4 |
| commons-lang | commons-lang | 2.6 |
| commons-logging | commons-logging | 1.1.3 |
| commons-net | commons-net | 3.1 |
| commons-pool | commons-pool | 1.5.4 |
| hive-2.3__hadoop-2.7 | jets3t-0.7 | liball_deps_2.12 |
| hive-2.3__hadoop-2.7 | zookeeper-3.4 | liball_deps_2.12 |
| info.ganglia.gmetric4j | gmetric4j | 1.0.10 |
| io.airlift | aircompressor | 0.10 |
| io.delta | delta-sharing-spark_2.12 | 0.1.0 |
| io.dropwizard.metrics | metrics-core | 4.1.1 |
| io.dropwizard.metrics | metrics-graphite | 4.1.1 |
| io.dropwizard.metrics | metrics-healthchecks | 4.1.1 |
| io.dropwizard.metrics | metrics-jetty9 | 4.1.1 |
| io.dropwizard.metrics | metrics-jmx | 4.1.1 |
| io.dropwizard.metrics | metrics-json | 4.1.1 |
| io.dropwizard.metrics | metrics-jvm | 4.1.1 |
| io.dropwizard.metrics | metrics-servlets | 4.1.1 |
| io.netty | netty-all | 4.1.51.Final |
| io.prometheus | simpleclient | 0.7.0 |
| io.prometheus | simpleclient_common | 0.7.0 |
| io.prometheus | simpleclient_dropwizard | 0.7.0 |
| io.prometheus | simpleclient_pushgateway | 0.7.0 |
| io.prometheus | simpleclient_servlet | 0.7.0 |
| io.prometheus.jmx | collector | 0.12.0 |
| jakarta.annotation | jakarta.annotation-api | 1.3.5 |
| jakarta.validation | jakarta.validation-api | 2.0.2 |
| jakarta.ws.rs | jakarta.ws.rs-api | 2.1.6 |
| javax.activation | activation | 1.1.1 |
| javax.el | javax.el-api | 2.2.4 |
| javax.jdo | jdo-api | 3.0.1 |
| javax.servlet | javax.servlet-api | 3.1.0 |
| javax.servlet.jsp | jsp-api | 2.1 |
| javax.transaction | jta | 1.1 |
| javax.transaction | transaction-api | 1.1 |
| javax.xml.bind | jaxb-api | 2.2.2 |
| javax.xml.stream | stax-api | 1.0-2 |
| javolution | javolution | 5.5.1 |
| jline | jline | 2.14.6 |
| joda-time | joda-time | 2.10.5 |
| log4j | apache-log4j-extras | 1.2.17 |
| log4j | log4j | 1.2.17 |
| maven-trees | hive-2.3__hadoop-2.7 | liball_deps_2.12 |
| net.java.dev.jna | jna | 5.8.0 |
| net.razorvine | pyrolite | 4.30 |
| net.sf.jpam | jpam | 1.1 |
| net.sf.opencsv | opencsv | 2.3 |
| net.sf.supercsv | super-csv | 2.2.0 |
| net.snowflake | snowflake-ingest-sdk | 0.9.6 |
| net.snowflake | snowflake-jdbc | 3.13.3 |
| net.snowflake | spark-snowflake_2.12 | 2.9.0-spark_3.1 |
| net.sourceforge.f2j | arpack_combined_all | 0.1 |
| org.acplt.remotetea | remotetea-oncrpc | 1.1.2 |
| org.antlr | ST4 | 4.0.4 |
| org.antlr | antlr-runtime | 3.5.2 |
| org.antlr | antlr4-runtime | 4.8-1 |
| org.antlr | stringtemplate | 3.2.1 |
| org.apache.ant | ant | 1.9.2 |
| org.apache.ant | ant-jsch | 1.9.2 |
| org.apache.ant | ant-launcher | 1.9.2 |
| org.apache.arrow | arrow-format | 2.0.0 |
| org.apache.arrow | arrow-memory-core | 2.0.0 |
| org.apache.arrow | arrow-memory-netty | 2.0.0 |
| org.apache.arrow | arrow-vector | 2.0.0 |
| org.apache.avro | avro | 1.8.2 |
| org.apache.avro | avro-ipc | 1.8.2 |
| org.apache.avro | avro-mapred-hadoop2 | 1.8.2 |
| org.apache.commons | commons-compress | 1.20 |
| org.apache.commons | commons-crypto | 1.1.0 |
| org.apache.commons | commons-lang3 | 3.10 |
| org.apache.commons | commons-math3 | 3.4.1 |
| org.apache.commons | commons-text | 1.6 |
| org.apache.curator | curator-client | 2.7.1 |
| org.apache.curator | curator-framework | 2.7.1 |
| org.apache.curator | curator-recipes | 2.7.1 |
| org.apache.derby | derby | 10.12.1.1 |
| org.apache.directory.api | api-asn1-api | 1.0.0-M20 |
| org.apache.directory.api | api-util | 1.0.0-M20 |
| org.apache.directory.server | apacheds-i18n | 2.0.0-M15 |
| org.apache.directory.server | apacheds-kerberos-codec | 2.0.0-M15 |
| org.apache.hadoop | hadoop-annotations | 2.7.4 |
| org.apache.hadoop | hadoop-auth | 2.7.4 |
| org.apache.hadoop | hadoop-client | 2.7.4 |
| org.apache.hadoop | hadoop-common | 2.7.4 |
| org.apache.hadoop | hadoop-hdfs | 2.7.4 |
| org.apache.hadoop | hadoop-mapreduce-client-app | 2.7.4 |
| org.apache.hadoop | hadoop-mapreduce-client-common | 2.7.4 |
| org.apache.hadoop | hadoop-mapreduce-client-core | 2.7.4 |
| org.apache.hadoop | hadoop-mapreduce-client-jobclient | 2.7.4 |
| org.apache.hadoop | hadoop-mapreduce-client-shuffle | 2.7.4 |
| org.apache.hadoop | hadoop-yarn-api | 2.7.4 |
| org.apache.hadoop | hadoop-yarn-client | 2.7.4 |
| org.apache.hadoop | hadoop-yarn-common | 2.7.4 |
| org.apache.hadoop | hadoop-yarn-server-common | 2.7.4 |
| org.apache.hive | hive-beeline | 2.3.7 |
| org.apache.hive | hive-cli | 2.3.7 |
| org.apache.hive | hive-jdbc | 2.3.7 |
| org.apache.hive | hive-llap-client | 2.3.7 |
| org.apache.hive | hive-llap-common | 2.3.7 |
| org.apache.hive | hive-serde | 2.3.7 |
| org.apache.hive | hive-shims | 2.3.7 |
| org.apache.hive | hive-storage-api | 2.7.2 |
| org.apache.hive.shims | hive-shims-0.23 | 2.3.7 |
| org.apache.hive.shims | hive-shims-common | 2.3.7 |
| org.apache.hive.shims | hive-shims-scheduler | 2.3.7 |
| org.apache.htrace | htrace-core | 3.1.0-incubating |
| org.apache.httpcomponents | httpclient | 4.5.6 |
| org.apache.httpcomponents | httpcore | 4.4.12 |
| org.apache.ivy | ivy | 2.4.0 |
| org.apache.mesos | mesos-shaded-protobuf | 1.4.0 |
| org.apache.orc | orc-core | 1.5.12 |
| org.apache.orc | orc-mapreduce | 1.5.12 |
| org.apache.orc | orc-shims | 1.5.12 |
| org.apache.parquet | parquet-column | 1.10.1-databricks9 |
| org.apache.parquet | parquet-common | 1.10.1-databricks9 |
| org.apache.parquet | parquet-encoding | 1.10.1-databricks9 |
| org.apache.parquet | parquet-format | 2.4.0 |
| org.apache.parquet | parquet-hadoop | 1.10.1-databricks9 |
| org.apache.parquet | parquet-jackson | 1.10.1-databricks9 |
| org.apache.thrift | libfb303 | 0.9.3 |
| org.apache.thrift | libthrift | 0.12.0 |
| org.apache.xbean | xbean-asm7-shaded | 4.15 |
| org.apache.yetus | audience-annotations | 0.5.0 |
| org.apache.zookeeper | zookeeper | 3.4.14 |
| org.codehaus.jackson | jackson-core-asl | 1.9.13 |
| org.codehaus.jackson | jackson-jaxrs | 1.9.13 |
| org.codehaus.jackson | jackson-mapper-asl | 1.9.13 |
| org.codehaus.jackson | jackson-xc | 1.9.13 |
| org.codehaus.janino | commons-compiler | 3.0.16 |
| org.codehaus.janino | janino | 3.0.16 |
| org.datanucleus | datanucleus-api-jdo | 4.2.4 |
| org.datanucleus | datanucleus-core | 4.1.17 |
| org.datanucleus | datanucleus-rdbms | 4.1.19 |
| org.datanucleus | javax.jdo | 3.2.0-m3 |
| org.eclipse.jetty | jetty-client | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-continuation | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-http | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-io | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-jndi | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-plus | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-proxy | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-security | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-server | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-servlet | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-servlets | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-util | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-util-ajax | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-webapp | 9.4.36.v20210114 |
| org.eclipse.jetty | jetty-xml | 9.4.36.v20210114 |
| org.fusesource.leveldbjni | leveldbjni-all | 1.8 |
| org.glassfish.hk2 | hk2-api | 2.6.1 |
| org.glassfish.hk2 | hk2-locator | 2.6.1 |
| org.glassfish.hk2 | hk2-utils | 2.6.1 |
| org.glassfish.hk2 | osgi-resource-locator | 1.0.3 |
| org.glassfish.hk2.external | aopalliance-repackaged | 2.6.1 |
| org.glassfish.hk2.external | jakarta.inject | 2.6.1 |
| org.glassfish.jersey.containers | jersey-container-servlet | 2.30 |
| org.glassfish.jersey.containers | jersey-container-servlet-core | 2.30 |
| org.glassfish.jersey.core | jersey-client | 2.30 |
| org.glassfish.jersey.core | jersey-common | 2.30 |
| org.glassfish.jersey.core | jersey-server | 2.30 |
| org.glassfish.jersey.inject | jersey-hk2 | 2.30 |
| org.glassfish.jersey.media | jersey-media-jaxb | 2.30 |
| org.hibernate.validator | hibernate-validator | 6.1.0.Final |
| org.javassist | javassist | 3.25.0-GA |
| org.jboss.logging | jboss-logging | 3.3.2.Final |
| org.jdbi | jdbi | 2.63.1 |
| org.joda | joda-convert | 1.7 |
| org.jodd | jodd-core | 3.5.2 |
| org.json4s | json4s-ast_2.12 | 3.7.0-M5 |
| org.json4s | json4s-core_2.12 | 3.7.0-M5 |
| org.json4s | json4s-jackson_2.12 | 3.7.0-M5 |
| org.json4s | json4s-scalap_2.12 | 3.7.0-M5 |
| org.lz4 | lz4-java | 1.7.1 |
| org.mariadb.jdbc | mariadb-java-client | 2.2.5 |
| org.objenesis | objenesis | 2.5.1 |
| org.postgresql | postgresql | 42.1.4 |
| org.roaringbitmap | RoaringBitmap | 0.9.14 |
| org.roaringbitmap | shims | 0.9.14 |
| org.rocksdb | rocksdbjni | 6.20.3 |
| org.rosuda.REngine | REngine | 2.1.0 |
| org.scala-lang | scala-compiler_2.12 | 2.12.10 |
| org.scala-lang | scala-library_2.12 | 2.12.10 |
| org.scala-lang | scala-reflect_2.12 | 2.12.10 |
| org.scala-lang.modules | scala-collection-compat_2.12 | 2.1.1 |
| org.scala-lang.modules | scala-parser-combinators_2.12 | 1.1.2 |
| org.scala-lang.modules | scala-xml_2.12 | 1.2.0 |
| org.scala-sbt | test-interface | 1.0 |
| org.scalacheck | scalacheck_2.12 | 1.14.2 |
| org.scalactic | scalactic_2.12 | 3.0.8 |
| org.scalanlp | breeze-macros_2.12 | 1.0 |
| org.scalanlp | breeze_2.12 | 1.0 |
| org.scalatest | scalatest_2.12 | 3.0.8 |
| org.slf4j | jcl-over-slf4j | 1.7.30 |
| org.slf4j | jul-to-slf4j | 1.7.30 |
| org.slf4j | slf4j-api | 1.7.30 |
| org.slf4j | slf4j-log4j12 | 1.7.30 |
| org.spark-project.spark | unused | 1.0.0 |
| org.springframework | spring-core | 4.1.4.RELEASE |
| org.springframework | spring-test | 4.1.4.RELEASE |
| org.threeten | threeten-extra | 1.5.0 |
| org.tukaani | xz | 1.5 |
| org.typelevel | algebra_2.12 | 2.0.0-M2 |
| org.typelevel | cats-kernel_2.12 | 2.0.0-M4 |
| org.typelevel | machinist_2.12 | 0.6.8 |
| org.typelevel | macro-compat_2.12 | 1.1.1 |
| org.typelevel | spire-macros_2.12 | 0.17.0-M1 |
| org.typelevel | spire-platform_2.12 | 0.17.0-M1 |
| org.typelevel | spire-util_2.12 | 0.17.0-M1 |
| org.typelevel | spire_2.12 | 0.17.0-M1 |
| org.wildfly.openssl | wildfly-openssl | 1.0.7.Final |
| org.xerial | sqlite-jdbc | 3.8.11.2 |
| org.xerial.snappy | snappy-java | 1.1.8.2 |
| org.yaml | snakeyaml | 1.24 |
| oro | oro | 2.0.8 |
| pl.edu.icm | JLargeArrays | 1.5 |
| software.amazon.ion | ion-java | 1.0.2 |
| stax | stax-api | 1.0.1 |
| xmlenc | xmlenc | 0.52 |