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apache / calcite / b91c0c00d2cd05db56c775ae335e4933a224b051
commitb91c0c00d2cd05db56c775ae335e4933a224b051[log] [tgz]
authorJames Duong <james.duong@improving.com>Tue Mar 12 13:33:30 2024 -0700
committerMihai Budiu <mbudiu@feldera.com>Tue Apr 09 08:38:52 2024 -0700
tree7fec7dd27773c47c46e136bc50327e0e25ea4c94
parent8c98d4210a35e8d8261187ac108d7ca6ecc75936 [diff]
[CALCITE-6309] Add REGEXP_LIKE function (enabled in MySQL, Oracle, PostgreSQL and Spark libraries)

Supports a 3-argument REGEXP_LIKE variant that takes in a string of regex flags in
addition to the existing 2-argument variant.

Add support for REGEXP_LIKE(value, regex) to MySQL, Oracle, and PostgreSQL.
Add support for REGEXP_LIKE(value, regex, flags) to MySQL, Oracle, PostgreSQL, and Spark.

Fix RLIKE-related tests such that they validate results instead of
only checking that expressions parse correctly and return the correct
type.
6 files changed
tree: 7fec7dd27773c47c46e136bc50327e0e25ea4c94
  1. .github/
  2. .idea/
  3. arrow/
  4. babel/
  5. bom/
  6. buildSrc/
  7. cassandra/
  8. core/
  9. druid/
  10. elasticsearch/
  11. example/
  12. file/
  13. geode/
  14. gradle/
  15. innodb/
  16. kafka/
  17. linq4j/
  18. mongodb/
  19. pig/
  20. piglet/
  21. plus/
  22. redis/
  23. release/
  24. server/
  25. site/
  26. spark/
  27. splunk/
  28. src/
  29. testkit/
  30. ubenchmark/
  31. .asf.yaml
  32. .editorconfig
  33. .gitattributes
  34. .gitignore
  35. .mailmap
  36. .ratignore
  37. build.gradle.kts
  38. gradle.properties
  39. gradlew
  40. gradlew.bat
  41. Jenkinsfile
  42. LICENSE
  43. NOTICE
  44. README
  45. README.md
  46. settings.gradle.kts
  47. sqlline
  48. sqlline.bat
  49. sqlsh
  50. sqlsh.bat
README.md

Maven Central CI Status

Apache Calcite

Apache Calcite is a dynamic data management framework.

It contains many of the pieces that comprise a typical database management system but omits the storage primitives. It provides an industry standard SQL parser and validator, a customisable optimizer with pluggable rules and cost functions, logical and physical algebraic operators, various transformation algorithms from SQL to algebra (and the opposite), and many adapters for executing SQL queries over Cassandra, Druid, Elasticsearch, MongoDB, Kafka, and others, with minimal configuration.

For more details, see the home page.

The project uses JIRA for issue tracking. For further information, please see the JIRA accounts guide.