- Data Engineering Integration 10.2.1
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Impersonation User Name
Required if the Hadoop cluster uses Kerberos authentication. Hadoop impersonation user. The user name that the Data Integration Service impersonates to run mappings in the Hadoop environment.
The Data Integration Service runs mappings based on the user that is configured. Refer the following order to determine which user the Data Integration Services uses to run mappings:
Temporary Table Compression Codec
Hadoop compression library for a compression codec class name.
The Spark engine does not support compression settings for temporary tables. When you run mappings on the Spark engine, the Spark engine stores temporary tables in an uncompressed file format.
Codec Class Name
Codec class name that enables data compression and improves performance on temporary staging tables.
Hive Staging Database Name
Namespace for Hive staging tables. Use the name
defaultfor tables that do not have a specified database name.
If you do not configure a namespace, the Data Integration Service uses the Hive database name in the Hive target connection to create staging tables.
List of advanced properties that are unique to the Hadoop environment. The properties are common to the Blaze, Spark, and Hive engines. The advanced properties include a list of default properties.
You can configure run-time properties for the Hadoop environment in the Data Integration Service, the Hadoop connection, and in the mapping. You can override a property configured at a high level by setting the value at a lower level. For example, if you configure a property in the Data Integration Service custom properties, you can override it in the Hadoop connection or in the mapping. The Data Integration Service processes property overrides based on the following priorities:
Informatica does not recommend changing these property values before you consult with third-party documentation, Informatica documentation, or Informatica Global Customer Support. If you change a value without knowledge of the property, you might experience performance degradation or other unexpected results.
Updated October 23, 2019