spark-instrumented-optimizer/sql
Cheng Su e52b858ef7 [SPARK-33027][SQL] Add DisableUnnecessaryBucketedScan rule to AQE
### What changes were proposed in this pull request?

As a followup comment from https://github.com/apache/spark/pull/29804#issuecomment-700650620 , here we add add the physical plan rule DisableUnnecessaryBucketedScan into AQE AdaptiveSparkPlanExec.queryStagePreparationRules, to make auto bucketed scan work with AQE.

The change is mostly in:
* `AdaptiveSparkPlanExec.scala`: add physical plan rule `DisableUnnecessaryBucketedScan`
* `DisableUnnecessaryBucketedScan.scala`: propagate logical plan link for the file source scan exec operator, otherwise we lose the logical plan link information when AQE is enabled, and will get exception [here](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala#L176). (for example, for query `SELECT * FROM bucketed_table` with AQE is enabled)
* `DisableUnnecessaryBucketedScanSuite.scala`: add new test suite for AQE enabled - `DisableUnnecessaryBucketedScanWithoutHiveSupportSuiteAE`, and changed some of tests to use `AdaptiveSparkPlanHelper.find/collect`, to make the plan verification work when AQE enabled.

### Why are the changes needed?

It's reasonable to add the support to allow disabling unnecessary bucketed scan with AQE is enabled, this helps optimize the query when AQE is enabled.

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

No.

### How was this patch tested?

Added unit test in `DisableUnnecessaryBucketedScanSuite`.

Closes #30200 from c21/auto-bucket-aqe.

Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-11-02 06:44:07 +00:00
..
catalyst [SPARK-33306][SQL] Timezone is needed when cast date to string 2020-10-31 15:14:46 -07:00
core [SPARK-33027][SQL] Add DisableUnnecessaryBucketedScan rule to AQE 2020-11-02 06:44:07 +00:00
hive [SPARK-33140][SQL] remove SQLConf and SparkSession in all sub-class of Rule[QueryPlan] 2020-10-27 12:40:57 +00:00
hive-thriftserver [SPARK-33193][SQL][TEST] Hive ThriftServer JDBC Database MetaData API Behavior Auditing 2020-10-23 13:34:33 -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.