spark-instrumented-optimizer/sql
angerszhu 15fb5d7677 [SPARK-28169][SQL] Convert scan predicate condition to CNF
### What changes were proposed in this pull request?
Spark can't push down scan predicate condition of **Or**:
Such as if I have a table `default.test`, it's partition col is `dt`,
If we use query :
```
select * from default.test
where dt=20190625 or (dt = 20190626 and id in (1,2,3) )
```

In this case, Spark will resolve **Or** condition as one expression, and since this expr has reference of "id", then it can't been push down.

Base on pr https://github.com/apache/spark/pull/28733, In my PR ,  for SQL like
`select * from default.test`
 `where  dt = 20190626  or  (dt = 20190627  and xxx="a")   `

For this  condition `dt = 20190626  or  (dt = 20190627  and xxx="a"   )`, it will  been converted  to CNF
```
(dt = 20190626 or dt = 20190627) and (dt = 20190626 or xxx = "a" )
```
then condition `dt = 20190626 or dt = 20190627` will be push down when partition pruning

### Why are the changes needed?
Optimize partition pruning

### Does this PR introduce _any_ user-facing change?
NO

### How was this patch tested?
Added UT

Closes #28805 from AngersZhuuuu/cnf-for-partition-pruning.

Lead-authored-by: angerszhu <angers.zhu@gmail.com>
Co-authored-by: AngersZhuuuu <angers.zhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-07-01 12:00:15 +00:00
..
catalyst [SPARK-28169][SQL] Convert scan predicate condition to CNF 2020-07-01 12:00:15 +00:00
core [SPARK-28169][SQL] Convert scan predicate condition to CNF 2020-07-01 12:00:15 +00:00
hive [SPARK-28169][SQL] Convert scan predicate condition to CNF 2020-07-01 12:00:15 +00:00
hive-thriftserver [SPARK-32034][SQL] Port HIVE-14817: Shutdown the SessionManager timeoutChecker thread properly upon shutdown 2020-06-21 16:28:00 -07:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.