Hadoop Environment

When I run a mapping with a Hive source or a Hive target on a different cluster, the Data Integration Service fails to push the mapping to Hadoop with the following error:

Failed to execute query [exec0_query_6] with error code [10], error message [FAILED: Error in semantic analysis: Line 1:181 Table not found customer_eur], and SQL state [42000]].

When you run a mapping in a Hadoop environment, the Hive connection selected for the Hive source or Hive target, and the mapping must be on the same Hive metastore.

When I run a mapping with SQL overrides concurrently, the mapping hangs.

There are not enough available resources because the cluster is being shared across different engines.

Use different YARN scheduler queues for the Blaze and Spark engines to allow HiveServer2 to run SQL overrides through these engines.

Mappings run on the Blaze engine fail with the following preemption error messages:

 2018-09-27 11:05:27.208  INFO: Container completion status: id
[container_e135_1537815195064_4755_01_000012]; state [COMPLETE];
diagnostics [Container preempted by scheduler]; exit status [-102]..
2018-09-27 11:05:27.208 SEVERE: Service
[OOP_Container_Manager_Service_2] has stopped running..

The Blaze engine does not support YARN preemption on either the Capacity Scheduler or the Fair Scheduler. Ask the Hadoop administrator to disable preemption on the queue allocated to the Blaze engine. For more information, see Mappings Fail with Preemption Errors.

When I configure a mapping to create a partitioned Hive table, the mapping fails with the error "Need to specify partition columns because the destination table is partitioned."

This issue happens because of internal Informatica requirements for a query that is designed to create a Hive partitioned table. For details and a workaround, see Knowledge Base article 516266.

Databricks Environment