ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
jiake b6d57b6b99 [SPARK-34637][SQL] Support DPP + AQE when the broadcast exchange can be reused 
### What changes were proposed in this pull request?
We have supported DPP in AQE when the join is Broadcast hash join before applying the AQE rules in [SPARK-34168](https://issues.apache.org/jira/browse/SPARK-34168), which has some limitations. It only apply DPP when the small table side executed firstly and then the big table side can reuse the broadcast exchange in small table side. This PR is to address the above limitations and can apply the DPP when the broadcast exchange can be reused.

### Why are the changes needed?
Resolve the limitations when both enabling DPP and AQE

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

### How was this patch tested?
Adding new ut

Closes #31756 from JkSelf/supportDPP2.

Authored-by: jiake <ke.a.jia@intel.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-05-13 13:07:02 +00:00
..
catalyst [SPARK-34720][SQL] MERGE ... UPDATE/INSERT * should do by-name resolution 2021-05-13 12:58:24 +00:00
core [SPARK-34637][SQL] Support DPP + AQE when the broadcast exchange can be reused 2021-05-13 13:07:02 +00:00
hive Revert "[SPARK-35321][SQL] Don't register Hive permanent functions when creating Hive client" 2021-05-08 13:01:17 -07:00
hive-thriftserver [SPARK-35105][SQL] Support multiple paths for ADD FILE/JAR/ARCHIVE commands 2021-04-29 13:58:51 +09:00
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.