15fb5d7677
### 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> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.py | ||
mkdocs.yml | ||
README.md |
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.