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Yingyi Bu 9a6d7730f5 [SPARK-35103][SQL] Make TypeCoercion rules more efficient 
## What changes were proposed in this pull request?
This PR fixes a couple of things in TypeCoercion rules:
- Only run the propagate types step if the children of a node have output attributes with changed dataTypes and/or nullability. This is implemented as custom tree transformation. The TypeCoercion rules now only implement a partial function.
- Combine multiple type coercion rules into a single rule. Multiple rules are applied in single tree traversal.
- Reduce calls to conf.get in DecimalPrecision. This now happens once per tree traversal, instead of once per matched expression.
- Reduce the use of withNewChildren.

This brings down the number of CPU cycles spend in analysis by ~28% (benchmark: 10 iterations of all TPC-DS queries on SF10).

## How was this patch tested?
Existing tests.

Closes #32208 from sigmod/coercion.

Authored-by: Yingyi Bu <yingyi.bu@databricks.com>
Signed-off-by: herman <herman@databricks.com>
2021-04-19 21:25:58 +02:00
..
catalyst [SPARK-35103][SQL] Make TypeCoercion rules more efficient 2021-04-19 21:25:58 +02:00
core [SPARK-35103][SQL] Make TypeCoercion rules more efficient 2021-04-19 21:25:58 +02:00
hive [SPARK-35102][SQL] Make spark.sql.hive.version read-only, not deprecated and meaningful 2021-04-19 14:40:21 +00:00
hive-thriftserver [SPARK-35102][SQL] Make spark.sql.hive.version read-only, not deprecated and meaningful 2021-04-19 14:40:21 +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-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

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.