ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Ke Jia de3b8b996f [SPARK-35710][SQL] Support DPP + AQE when there is no reused broadcast exchange 
### What changes were proposed in this pull request?
This PR add the DPP + AQE support when spark can't reuse the broadcast but executing the DPP subquery is cheaper.

### Why are the changes needed?
Improve AQE + DPP

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

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

Closes #32861 from JkSelf/supportDPP3.

Lead-authored-by: Ke Jia <ke.a.jia@intel.com>
Co-authored-by: Wenchen Fan <cloud0fan@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit c1b3f86c58)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-07-16 16:01:23 +08:00
..
catalyst [SPARK-36135][SQL] Support TimestampNTZ type in file partitioning 2021-07-16 01:13:49 +08:00
core [SPARK-35710][SQL] Support DPP + AQE when there is no reused broadcast exchange 2021-07-16 16:01:23 +08:00
hive [SPARK-35985][SQL] push partitionFilters for empty readDataSchema 2021-07-16 04:53:23 +00:00
hive-thriftserver [SPARK-35780][SQL] Support DATE/TIMESTAMP literals across the full range 2021-07-14 18:11:53 +08:00
create-docs.sh
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-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml
README.md

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.