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English
  • Data Engineering Integration 10.2.1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Big Data Management User Guide

Big Data Management User Guide

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PreSQL and PostSQL Commands

PreSQL and PostSQL Commands

You can create SQL commands for Hive targets. You can execute the SQL commands to execute SQL statements such as insert, update, and delete on the Hive target.
PreSQL is an SQL command that runs against the Hive target before the mapping reads from the source. PostSQL is an SQL command that runs against the Hive target after the mapping writes to the target.
You can use PreSQL and PostSQL on the Spark engine. The Data Integration Service does not validate PreSQL or PostSQL commands for a Hive target.

Pre-Mapping SQL Commands

PreSQL is an SQL command that runs against a Hive target before the mapping reads from a source.
For example, you might use a Hive target in a mapping. The data stored in the Hive target contains old records from the previous day and you must delete the old records in the Hive target before you run the mapping that writes new records to the target. To delete the old records in the Hive target, you can configure a PreSQL command.

Post-Mapping SQL Commands

PostSQL is an SQL command that runs against a Hive source after the mapping writes to the target.
For example, you might use a Hive target in a mapping that runs in a test environment. After the mapping writes to the target, you might want to delete the records stored in the Hive target so that you can test the same Hive target again in the next mapping run. To delete the records in the Hive target, you can configure a PostSQL command.
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