spark-instrumented-optimizer/sql
Hyukjin Kwon 7d7c9915bb [SPARK-36788][SQL] Change log level of AQE for non-supported plans from warning to debug
### What changes were proposed in this pull request?

This PR suppresses the warnings for plans where AQE is not supported. Currently we show the warnings such as:

```
org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324881 DESC NULLS FIRST], true, 23
+- Scan ExistingRDD[a#324881]
```

for every plan that AQE is not supported.

### Why are the changes needed?

It's too noisy now. Below is the example of `SortSuite` run:

```
14:51:40.675 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324881 DESC NULLS FIRST], true, 23
+- Scan ExistingRDD[a#324881]
.
[info] - sorting on DayTimeIntervalType(0,1) with nullable=true, sortOrder=List('a DESC NULLS FIRST) (785 milliseconds)
14:51:41.416 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324884 ASC NULLS FIRST], true
+- Scan ExistingRDD[a#324884]
.
14:51:41.467 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324884 ASC NULLS FIRST], true, 23
+- Scan ExistingRDD[a#324884]
.
[info] - sorting on DayTimeIntervalType(0,1) with nullable=false, sortOrder=List('a ASC NULLS FIRST) (796 milliseconds)
14:51:42.210 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324887 ASC NULLS LAST], true
+- Scan ExistingRDD[a#324887]
.
14:51:42.259 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324887 ASC NULLS LAST], true, 23
+- Scan ExistingRDD[a#324887]
.
[info] - sorting on DayTimeIntervalType(0,1) with nullable=false, sortOrder=List('a ASC NULLS LAST) (797 milliseconds)
14:51:43.009 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324890 DESC NULLS LAST], true
+- Scan ExistingRDD[a#324890]
.
14:51:43.061 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324890 DESC NULLS LAST], true, 23
+- Scan ExistingRDD[a#324890]
.
[info] - sorting on DayTimeIntervalType(0,1) with nullable=false, sortOrder=List('a DESC NULLS LAST) (848 milliseconds)
14:51:43.857 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324893 DESC NULLS FIRST], true
+- Scan ExistingRDD[a#324893]
.
14:51:43.903 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324893 DESC NULLS FIRST], true, 23
+- Scan ExistingRDD[a#324893]
.
[info] - sorting on DayTimeIntervalType(0,1) with nullable=false, sortOrder=List('a DESC NULLS FIRST) (827 milliseconds)
14:51:44.682 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324896 ASC NULLS FIRST], true
+- Scan ExistingRDD[a#324896]
.
14:51:44.748 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324896 ASC NULLS FIRST], true, 23
+- Scan ExistingRDD[a#324896]
.
[info] - sorting on YearMonthIntervalType(0,1) with nullable=true, sortOrder=List('a ASC NULLS FIRST) (565 milliseconds)
14:51:45.248 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324899 ASC NULLS LAST], true
+- Scan ExistingRDD[a#324899]
.
14:51:45.312 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324899 ASC NULLS LAST], true, 23
+- Scan ExistingRDD[a#324899]
.
[info] - sorting on YearMonthIntervalType(0,1) with nullable=true, sortOrder=List('a ASC NULLS LAST) (591 milliseconds)
14:51:45.841 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: ReferenceSort [a#324902 DESC NULLS LAST], true
+- Scan ExistingRDD[a#324902]
.
14:51:45.905 WARN org.apache.spark.sql.execution.adaptive.InsertAdaptiveSparkPlan: spark.sql.adaptive.enabled is enabled but is not supported for query: Sort [a#324902 DESC NULLS LAST], true, 23
+- Scan ExistingRDD[a#324902]
.
```

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

Yes, it will show less warnings to users. Note that AQE is enabled by default from Spark 3.2, see SPARK-33679

### How was this patch tested?

Manually tested via unittests.

Closes #34026 from HyukjinKwon/minor-log-level.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
(cherry picked from commit 917d7dad4d)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-09-17 12:01:53 +09:00
..
catalyst [SPARK-36783][SQL] ScanOperation should not push Filter through nondeterministic Project 2021-09-17 10:51:29 +08:00
core [SPARK-36788][SQL] Change log level of AQE for non-supported plans from warning to debug 2021-09-17 12:01:53 +09:00
hive [SPARK-36774][CORE][TESTS] Move SparkSubmitTestUtils to core module and use it in SparkSubmitSuite 2021-09-16 14:31:22 -07:00
hive-thriftserver [SPARK-36774][CORE][TESTS] Move SparkSubmitTestUtils to core module and use it in SparkSubmitSuite 2021-09-16 14:31:22 -07:00
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-36657][SQL] Update comment in 'gen-sql-config-docs.py' 2021-09-02 18:51:10 -07:00
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.