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Yuming Wang aaa0d2a66b [SPARK-32855][SQL] Improve the cost model in pruningHasBenefit for filtering side can not build broadcast by join type 
### What changes were proposed in this pull request?

This pr improve the cost model in `pruningHasBenefit` for filtering side can not build broadcast by join type:
1. The filtering side must be small enough to build broadcast by size.
2. The estimated size of the pruning side must be big enough: `estimatePruningSideSize * spark.sql.optimizer.dynamicPartitionPruning.pruningSideExtraFilterRatio > overhead`.

### Why are the changes needed?

Improve query performance for these cases.

This a real case from cluster. Left join and left size very small and right side can build DPP:
![image](https://user-images.githubusercontent.com/5399861/92882197-445a2a00-f442-11ea-955d-16a7724e535b.png)

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit test.

Closes #29726 from wangyum/SPARK-32855.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-03-26 04:48:13 +00:00
..
catalyst [SPARK-32855][SQL] Improve the cost model in pruningHasBenefit for filtering side can not build broadcast by join type 2021-03-26 04:48:13 +00:00
core [SPARK-32855][SQL] Improve the cost model in pruningHasBenefit for filtering side can not build broadcast by join type 2021-03-26 04:48:13 +00:00
hive [SPARK-34852][SQL] Close Hive session state should use withHiveState 2021-03-25 10:21:44 +08:00
hive-thriftserver [SPARK-34700][SQL] SessionCatalog's temporary view related APIs should take/return more concrete types 2021-03-22 08:17:54 +00:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +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

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.