doris

Files

minghong 46ce97a190 [enhance](planner)convert 'or' into 'in-predicate' (#15737 )

in previous [PR 12872](https://github.com/apache/doris/pull/12872), we convert multi equals on same slot into `in predicate`. for example, `a =1 or a = 2` => `a in (1, 2)`

This pr makes 4 changes about convert or to in:
1. fix a bug: `Not IN`  is merged with equal. `a =1 or a not in (2, 3)` => `a in (1, 2, 3)`
2. extends this rule on more cases
  - merge for more than one slot: 'a =1 or a = 2 or b = 3 or b = 4' => `a in (1, 2) or b in (3, 4)`
  - merge skip not-equal and not-in: 'a =1 or a = 2 or b !=3 or c not in (1, 2)' => 'a in (1, 2) or b!=3 or c not in (1,2)`
3. rewrite recursively. 
4. OrToIn is implemented in ExtractCommonFactorsRule. This rule will generate new exprs. OrToIn should apply on such generated exprs. for example `(a=1 and b=2) or (a=3 and b=4)` => `(a=1 or a=3) and (b=2 or b=4) and [(a=1 and b=2) or (a=3 and b=4)]` => `a in (1,3) and b in (2 ,4) and [(a=1 and b=2) or (a=3 and b=4)]` 

In addition, this pr add toString() for some Expr.

2023-01-18 12:33:20 +08:00

check/checkstyle

[feature-wip](array) remove array config and check array nested depth (#13428 )

2022-10-20 15:52:31 +08:00

fe-common

[refactor](fe) remove type related class to fe-common to reduce java-udf jar size (#15808 )

2023-01-17 00:01:15 +08:00

fe-core

[enhance](planner)convert 'or' into 'in-predicate' (#15737 )

2023-01-18 12:33:20 +08:00

hive-udf

[deps](fe)upgrade deps version (#15262 )

2022-12-24 22:18:10 +08:00

java-udf

[refactor](fe) remove type related class to fe-common to reduce java-udf jar size (#15808 )

2023-01-17 00:01:15 +08:00

spark-dpp

[Enhancement](fe): replace assertTrue(X.equals(X)) with assertEquals (#15356 )

2022-12-27 00:37:24 +08:00

pom.xml

[refactor](fe) remove type related class to fe-common to reduce java-udf jar size (#15808 )

2023-01-17 00:01:15 +08:00

README

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README

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# fe-common

This module is used to store some common classes of other modules.

# spark-dpp

This module is Spark DPP program, used for Spark Load function.
Depends: fe-common

# fe-core

This module is the main process module of FE.
Depends: fe-common, spark-dpp