dc7b5a99f0
### What changes were proposed in this pull request? The main code change is: * Change rule `DemoteBroadcastHashJoin` to `DynamicJoinSelection` and add shuffle hash join selection code. * Specify a join strategy hint `SHUFFLE_HASH` if AQE think a join can be converted to SHJ. * Skip `preferSortMerge` config check in AQE side if a join can be converted to SHJ. ### Why are the changes needed? Use AQE runtime statistics to decide if we can use shuffled hash join instead of sort merge join. Currently, the formula of shuffled hash join selection dose not work due to the dymanic shuffle partition number. Add a new config spark.sql.adaptive.shuffledHashJoinLocalMapThreshold to decide if join can be converted to shuffled hash join safely. ### Does this PR introduce _any_ user-facing change? Yes, add a new config. ### How was this patch tested? Add test. Closes #32550 from ulysses-you/SPARK-35282-2. Authored-by: ulysses-you <ulyssesyou18@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
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.