Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

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.


Updated July 10, 2020