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  1. Preface
  2. Part 1: Version 10.4.1
  3. Part 2: Version 10.4.0
  4. Part 3: Version 10.2.2
  5. Part 4: Version 10.2.1
  6. Part 5: Version 10.2
  7. Part 6: Version 10.1.1
  8. Part 7: Version 10.1

Big Data Management Hive Engine

Big Data Management Hive Engine

Effective in version 10.1.1, Informatica dropped support for HiveServer2 which the Hive engine uses to run mappings.
Previously, the Hive engine supported the Hive driver and HiveServer2 to run mappings in the Hadoop environment. HiveServer2 and the Hive driver convert HiveQL queries to MapReduce or Tez jobs that are processed on the Hadoop cluster.
If you install Big Data Management 10.1.1 or upgrade to version 10.1.1, the Hive engine uses the Hive driver when you run the mappings. The Hive engine no longer supports HiveServer2 to run mappings in the Hadoop environment. Hive sources and targets that use the HiveServer2 service on the Hadoop cluster are still supported.
To run mappings in the Hadoop environment, Informatica recommends that you select all run-time engines. The Data Integration Service uses a proprietary rule-based methodology to determine the best engine to run the mapping.
For information about configuring the run-time engines for your Hadoop distribution, see the
Informatica Big Data Management 10.1.1 Installation and Configuration Guide
. For information about mapping objects that the run-time engines support, see the
Informatica Big Data Management 10.1.1 User Guide
.

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