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Yingyi Bu 7bc364beed [SPARK-35621][SQL] Add rule id pruning to the TypeCoercion rule 
### What changes were proposed in this pull request?

- Added TreeNode.transformUpWithBeforeAndAfterRuleOnChildren(...);
- Call transformUpWithBeforeAndAfterRuleOnChildren in TypeCoercionRule.

### Why are the changes needed?

Reduce the number of tree traversals and hence improve the query compilation latency.

### How was this patch tested?

Existing tests.
Performance diff :
<google-sheets-html-origin><style type="text/css"></style>
&nbsp; | Baseline | Experiment (wo. ruleId) | Experiment (wo. ruleId)/Baseline | Experiment (w. ruleId) | Experiment (w. ruleId)/Baseline
-- | -- | -- | -- | -- | --
CombinedTypeCoercionRule | 665020354 | 567320034 | 0.85 | 330798240 | 0.50

</google-sheets-html-origin>

Closes #32761 from sigmod/transform.

Authored-by: Yingyi Bu <yingyi.bu@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>
2021-06-05 14:49:16 +08:00
..
catalyst [SPARK-35621][SQL] Add rule id pruning to the TypeCoercion rule 2021-06-05 14:49:16 +08:00
core [SPARK-35446] Override getJDBCType in MySQLDialect to map FloatType to FLOAT 2021-06-05 12:44:16 +09:00
hive [SPARK-35612][SQL] Support LZ4 compression in ORC data source 2021-06-03 14:07:26 -07:00
hive-thriftserver [SPARK-21957][SQL][FOLLOWUP] Support CURRENT_USER without tailing parentheses 2021-06-04 13:32:56 +00:00
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-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +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.