Big Data Management User Guide

10.2.1
- 10.5.7
- 10.5.6
- 10.5.5
- 10.5.4
- 10.5.3
- 10.5.2
- 10.5.1
- 10.5
- 10.4.1
- 10.4.0
- 10.2.2 HotFix 1
- 10.2.2 Service Pack 1
- 10.2.2

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Sqoop Mappings in a Hadoop Environment

After you copy the Type 4 JDBC driver .jar files required for Sqoop connectivity to the

externaljdbcjars

directory, enable Sqoop in a JDBC connection, and import a Sqoop source or Sqoop target, you can create a mapping. You can then run the Sqoop mapping in the Hadoop run-time environment with a Hadoop connection. You can run Sqoop mappings on the Blaze, Spark, and Hive engines.

If you use Cloudera Connector Powered by Teradata or Hortonworks Connector for Teradata, you can run mappings on the Blaze or Spark engines. If you use MapR Connector for Teradata, you can run mappings on the Spark engine.

In the mapping, you can specify additional Sqoop arguments and disable the Sqoop connector.

If you add or delete a Type 4 JDBC driver .jar file required for Sqoop connectivity from the

externaljdbcjars

directory, changes take effect after you restart the Data Integration Service. If you run the mapping on the Blaze engine, changes take effect after you restart the Data Integration Service and Blaze Grid Manager. When you run the mapping for the first time, you do not need to restart the Data Integration Service and Blaze Grid Manager. You need to restart the Data Integration Service and Blaze Grid Manager only for the subsequent mapping runs.

Mappings in the Hadoop Environment

Sqoop Mapping-Level Arguments

Configuring Sqoop Properties in the Mapping

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