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  • Informatica Data Quality 10.4.1
  • All Products

Table of Contents

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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

Release Guide

Release Guide

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Hive Functionality in the Hadoop Environment

Hive Functionality in the Hadoop Environment

This section describes new features for Hive functionality in the Hadoop environment in version 10.2.1.

Hive Table Truncation

Effective in version 10.2.1, you can truncate external partitioned Hive tables on all run-time engines.
You can truncate tables in the following Hive storage formats:
  • Avro
  • ORC
  • Parquet
  • RCFile
  • Sequence
  • Text
You can truncate tables in the following Hive external table formats:
  • Hive on HDFS
  • Hive on Amazon S3
  • Hive on Azure Blob
  • Hive on WASB
  • Hive on ADLS
For more information on truncating Hive targets, see the "Mapping Targets in the Hadoop Environment" chapter in the
Informatica Big Data Management 10.2.1 User Guide
.

Pre- and Post-Mapping SQL Commands

Effective in version 10.2.1, you can configure PreSQL and PostSQL commands against Hive sources and targets in mappings that run on the Spark engine.
For more information, see the
Informatica Big Data Management 10.2.1 User Guide
.
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