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apache / calcite / 85953ceb99e07b95129f4934797760a88709fcf6
commit85953ceb99e07b95129f4934797760a88709fcf6[log] [tgz]
authorRafay <qureshi.rafay@gmail.com>Mon Jun 14 16:53:09 2021 -0700
committerJulian Hyde <jhyde@apache.org>Sun Jul 04 20:06:51 2021 -0700
tree7504b31b6569a089b722faaa7e64c9a98056044f
parentf928e073c384010c294370b63ffb748c15caab8a [diff]
[CALCITE-4644] Add PERCENTILE_CONT and PERCENTILE_DISC functions (Rafay)

In this change, we can parse and validate those functions,
but execution will be [CALCITE-4666].

Validation is based on new method SqlAggFunction.isPercentile()
(experimental and subject to change without notice).

There are connections between the RANGE clause in windowed
aggregate functions and interpolation used by PERCENTILE_CONT.
Therefore use the same logic to determine whether "x" is a
valid type in OVER (ORDER BY x RANGE r)" and
"PERCENTILE_CONT(f) WITHIN GROUP (ORER BY x)"

Close apache/calcite#2444
18 files changed
tree: 7504b31b6569a089b722faaa7e64c9a98056044f
  1. .github/
  2. .idea/
  3. babel/
  4. bom/
  5. buildSrc/
  6. cassandra/
  7. core/
  8. druid/
  9. elasticsearch/
  10. example/
  11. file/
  12. geode/
  13. gradle/
  14. innodb/
  15. kafka/
  16. linq4j/
  17. mongodb/
  18. pig/
  19. piglet/
  20. plus/
  21. redis/
  22. release/
  23. server/
  24. site/
  25. spark/
  26. splunk/
  27. src/
  28. ubenchmark/
  29. .asf.yaml
  30. .editorconfig
  31. .gitattributes
  32. .gitignore
  33. .ratignore
  34. .travis.yml
  35. appveyor.yml
  36. build.gradle.kts
  37. gradle.properties
  38. gradlew
  39. gradlew.bat
  40. LICENSE
  41. NOTICE
  42. README
  43. README.md
  44. settings.gradle.kts
  45. sqlline
  46. sqlline.bat
  47. sqlsh
  48. sqlsh.bat
README.md

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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.