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Developer Tool Guide

Developer Tool Guide

10.5.2
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- 10.5.3
- 10.5.1
- 10.5
- 10.4.1
- 10.4.0

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Spark Configuration

Spark Configuration

The following table describes the connection properties that you configure for the Spark engine:

Property	Description
Spark Staging Directory	The HDFS file path of the directory that the Spark engine uses to store temporary files for running jobs. The YARN user, Data Integration Service user, and mapping impersonation user must have write permission on this directory. If you do not specify a file path, by default, the temporary files are written to the Hadoop staging directory /tmp/SPARK_<user name> . When you run Sqoop jobs on the Spark engine, the Data Integration Service creates a Sqoop staging directory within the Spark staging directory to store temporary files: <Spark staging directory>/sqoop_staging
Spark Event Log Directory	Optional. The HDFS file path of the directory that the Spark engine uses to log events.
YARN Queue Name	The YARN scheduler queue name used by the Spark engine that specifies available resources on a cluster. The name is case sensitive.
Advanced Properties	List of advanced properties that are unique to the Spark engine. 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: Mapping custom properties set using infacmd ms runMapping with the -cp option Mapping run-time properties for the Hadoop environment Hadoop connection advanced properties for run-time engines Hadoop connection advanced general properties, environment variables, and classpaths Data Integration Service custom properties When a mapping uses Hive Server 2 to run a job or parts of a job, you cannot override properties that are configured on the cluster level in preSQL or post-SQL queries or SQL override statements. Workaround: Instead of attempting to use the cluster configuration on the domain to override cluster properties, pass the override settings to the JDBC URL. For example: beeline -u "jdbc:hive2://<domain host>:<port_number>/tpch_text_100" --hiveconf hive.execution.engine=tez 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.

Hadoop Connection Properties

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