Copy and transform data from Hive using Azure Data Factory

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09/12/2024

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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This article outlines how to use the Copy Activity in an Azure Data Factory or Synapse Analytics pipeline to copy data from Hive. It builds on the copy activity overview article that presents a general overview of copy activity.

Supported capabilities

This Hive connector is supported for the following capabilities:

Supported capabilities	IR
Copy activity (source/-)	① ②
Mapping data flow (source/-)	①
Lookup activity	① ②

① Azure integration runtime ② Self-hosted integration runtime

For a list of data stores that are supported as sources/sinks by the copy activity, see the Supported data stores table.

The service provides a built-in driver to enable connectivity, therefore you don't need to manually install any driver using this connector.

The connector supports the Windows versions in this article.

Prerequisites

If your data store is located inside an on-premises network, an Azure virtual network, or Amazon Virtual Private Cloud, you need to configure a self-hosted integration runtime to connect to it.

If your data store is a managed cloud data service, you can use the Azure Integration Runtime. If the access is restricted to IPs that are approved in the firewall rules, you can add Azure Integration Runtime IPs to the allow list.

You can also use the managed virtual network integration runtime feature in Azure Data Factory to access the on-premises network without installing and configuring a self-hosted integration runtime.

For more information about the network security mechanisms and options supported by Data Factory, see Data access strategies.

Getting started

To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:

Create a linked service to Hive using UI

Use the following steps to create a linked service to Hive in the Azure portal UI.

Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New:
- Azure Data Factory
- Azure Synapse
Search for Hive and select the Hive connector.
Configure the service details, test the connection, and create the new linked service.

Connector configuration details

The following sections provide details about properties that are used to define Data Factory entities specific to Hive connector.

Linked service properties

The following properties are supported for Hive linked service:

Property	Description	Required
type	The type property must be set to: Hive	Yes
host	IP address or host name of the Hive server, separated by ';' for multiple hosts (only when serviceDiscoveryMode is enabled).	Yes
port	The TCP port that the Hive server uses to listen for client connections. If you connect to Azure HDInsight, specify port as 443.	Yes
serverType	The type of Hive server. Allowed values are: HiveServer1, HiveServer2, HiveThriftServer	No
thriftTransportProtocol	The transport protocol to use in the Thrift layer. Allowed values are: Binary, SASL, HTTP	No
authenticationType	The authentication method used to access the Hive server. Allowed values are: Anonymous, Username, UsernameAndPassword, WindowsAzureHDInsightService. Kerberos authentication is not supported now.	Yes
serviceDiscoveryMode	true to indicate using the ZooKeeper service, false not.	No
zooKeeperNameSpace	The namespace on ZooKeeper under which Hive Server 2 nodes are added.	No
useNativeQuery	Specifies whether the driver uses native HiveQL queries, or converts them into an equivalent form in HiveQL.	No
username	The user name that you use to access Hive Server.	No
password	The password corresponding to the user. Mark this field as a SecureString to store it securely, or reference a secret stored in Azure Key Vault.	No
httpPath	The partial URL corresponding to the Hive server.	No
enableSsl	Specifies whether the connections to the server are encrypted using TLS. The default value is false.	No
trustedCertPath	The full path of the .pem file containing trusted CA certificates for verifying the server when connecting over TLS. This property can only be set when using TLS on self-hosted IR. The default value is the cacerts.pem file installed with the IR.	No
useSystemTrustStore	Specifies whether to use a CA certificate from the system trust store or from a specified PEM file. The default value is false.	No
allowHostNameCNMismatch	Specifies whether to require a CA-issued TLS/SSL certificate name to match the host name of the server when connecting over TLS. The default value is false.	No
allowSelfSignedServerCert	Specifies whether to allow self-signed certificates from the server. The default value is false.	No
connectVia	The Integration Runtime to be used to connect to the data store. Learn more from Prerequisites section. If not specified, it uses the default Azure Integration Runtime.	No
storageReference	A reference to the linked service of the storage account used for staging data in mapping data flow. This is required only when using the Hive linked service in mapping data flow	No

Example:

{
    "name": "HiveLinkedService",
    "properties": {
        "type": "Hive",
        "typeProperties": {
            "host" : "<cluster>.azurehdinsight.net",
            "port" : "<port>",
            "authenticationType" : "WindowsAzureHDInsightService",
            "username" : "<username>",
            "password": {
                "type": "SecureString",
                "value": "<password>"
            }
        }
    }
}

Dataset properties

For a full list of sections and properties available for defining datasets, see the datasets article. This section provides a list of properties supported by Hive dataset.

To copy data from Hive, set the type property of the dataset to HiveObject. The following properties are supported:

Property	Description	Required
type	The type property of the dataset must be set to: HiveObject	Yes
schema	Name of the schema.	No (if "query" in activity source is specified)
table	Name of the table.	No (if "query" in activity source is specified)
tableName	Name of the table including schema part. This property is supported for backward compatibility. For new workload, use `schema` and `table`.	No (if "query" in activity source is specified)

Example

{
    "name": "HiveDataset",
    "properties": {
        "type": "HiveObject",
        "typeProperties": {},
        "schema": [],
        "linkedServiceName": {
            "referenceName": "<Hive linked service name>",
            "type": "LinkedServiceReference"
        }
    }
}

Copy activity properties

For a full list of sections and properties available for defining activities, see the Pipelines article. This section provides a list of properties supported by Hive source.

HiveSource as source

To copy data from Hive, set the source type in the copy activity to HiveSource. The following properties are supported in the copy activity source section:

Property	Description	Required
type	The type property of the copy activity source must be set to: HiveSource	Yes
query	Use the custom SQL query to read data. For example: `"SELECT * FROM MyTable"`.	No (if "tableName" in dataset is specified)

Example:

"activities":[
    {
        "name": "CopyFromHive",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<Hive input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "HiveSource",
                "query": "SELECT * FROM MyTable"
            },
            "sink": {
                "type": "<sink type>"
            }
        }
    }
]

Mapping data flow properties

The hive connector is supported as an inline dataset source in mapping data flows. Read using a query or directly from a Hive table in HDInsight. Hive data gets staged in a storage account as parquet files before getting transformed as part of a data flow.

Source properties

The below table lists the properties supported by a hive source. You can edit these properties in the Source options tab.

Name	Description	Required	Allowed values	Data flow script property
Store	Store must be `hive`	yes	`hive`	store
Format	Whether you are reading from a table or query	yes	`table` or `query`	format
Schema name	If reading from a table, the schema of the source table	yes, if format is `table`	String	schemaName
Table name	If reading from a table, the table name	yes, if format is `table`	String	tableName
Query	If format is `query`, the source query on the Hive linked service	yes, if format is `query`	String	query
Staged	Hive table will always be staged.	yes	`true`	staged
Storage Container	Storage container used to stage data before reading from Hive or writing to Hive. The hive cluster must have access to this container.	yes	String	storageContainer
Staging database	The schema/database where the user account specified in the linked service has access to. It is used to create external tables during staging and dropped afterwards	no	`true` or `false`	stagingDatabaseName
Pre SQL Scripts	SQL code to run on the Hive table before reading the data	no	String	preSQLs

Source example

Below is an example of a Hive source configuration:

Hive source example

These settings translate into the following data flow script:

source(
    allowSchemaDrift: true,
    validateSchema: false,
    ignoreNoFilesFound: false,
    format: 'table',
    store: 'hive',
    schemaName: 'default',
    tableName: 'hivesampletable',
    staged: true,
    storageContainer: 'khive',
    storageFolderPath: '',
    stagingDatabaseName: 'default') ~> hivesource

Known limitations

Complex types such as arrays, maps, structs, and unions are not supported for read.
Hive connector only supports Hive tables in Azure HDInsight of version 4.0 or greater (Apache Hive 3.1.0)
By default, Hive driver provides "tableName.columnName" in sink. If you do not wish to see the table name in the column name, then there are two ways to fix this. a. Check the setting "hive.resultset.use.unique.column.names" in Hive server side and set it to false. b. Use column mapping to rename the column name.

Lookup activity properties

To learn details about the properties, check Lookup activity.

For a list of data stores supported as sources and sinks by the copy activity, see supported data stores.

Del via

Copy and transform data from Hive using Azure Data Factory

Supported capabilities

Prerequisites

Getting started

Create a linked service to Hive using UI

Connector configuration details

Linked service properties

Dataset properties

Copy activity properties

HiveSource as source

Mapping data flow properties

Source properties

Source example

Known limitations

Lookup activity properties

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Del via

Copy and transform data from Hive using Azure Data Factory

Supported capabilities

Prerequisites

Getting started

Create a linked service to Hive using UI

Connector configuration details

Linked service properties

Dataset properties

Copy activity properties

HiveSource as source

Mapping data flow properties

Source properties

Source example

Known limitations

Lookup activity properties

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Flere ressurser