spark-instrumented-optimizer/sql
Yuming Wang b5afff59fa [SPARK-26138][SQL] Pushdown limit through InnerLike when condition is empty
### What changes were proposed in this pull request?

This pr pushdown limit through InnerLike when condition is empty(Origin pr: #23104). For example:
```sql
CREATE TABLE t1 using parquet AS SELECT id AS a, id AS b FROM range(2);
CREATE TABLE t2 using parquet AS SELECT id AS d FROM range(2);
SELECT * FROM t1 CROSS JOIN t2 LIMIT 10;
```
Before this pr:
```
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- CollectLimit 10
   +- BroadcastNestedLoopJoin BuildRight, Cross
      :- FileScan parquet default.t1[a#5L,b#6L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/private/var/folders/tg/f5mz46090wg7swzgdc69f8q03965_0/T/warehous..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:bigint,b:bigint>
      +- BroadcastExchange IdentityBroadcastMode, [id=#43]
         +- FileScan parquet default.t2[d#7L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/private/var/folders/tg/f5mz46090wg7swzgdc69f8q03965_0/T/warehous..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<d:bigint>
```
After this pr:
```
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- CollectLimit 10
   +- BroadcastNestedLoopJoin BuildRight, Cross
      :- LocalLimit 10
      :  +- FileScan parquet default.t1[a#5L,b#6L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/private/var/folders/tg/f5mz46090wg7swzgdc69f8q03965_0/T/warehous..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:bigint,b:bigint>
      +- BroadcastExchange IdentityBroadcastMode, [id=#51]
         +- LocalLimit 10
            +- FileScan parquet default.t2[d#7L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/private/var/folders/tg/f5mz46090wg7swzgdc69f8q03965_0/T/warehous..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<d:bigint>
```

### Why are the changes needed?

Improve query performance.

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

No.

### How was this patch tested?

Unit test.

Closes #31567 from wangyum/SPARK-26138.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
2021-02-24 09:50:13 +08:00
..
catalyst [SPARK-26138][SQL] Pushdown limit through InnerLike when condition is empty 2021-02-24 09:50:13 +08:00
core [SPARK-26138][SQL] Pushdown limit through InnerLike when condition is empty 2021-02-24 09:50:13 +08:00
hive [SPARK-31891][SQL] Support MSCK REPAIR TABLE .. [{ADD|DROP|SYNC} PARTITIONS] 2021-02-23 13:45:15 -08:00
hive-thriftserver [SPARK-34373][SQL] HiveThriftServer2 startWithContext may hang with a race issue 2021-02-21 17:37:12 +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-34022][DOCS][FOLLOW-UP] Fix typo in SQL built-in function docs 2021-01-06 09:28:22 -08:00
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.