d46c1e38ec
### What changes were proposed in this pull request? * Add a new rule `ExpandShufflePartitions` in AQE `queryStageOptimizerRules` * Add a new config `spark.sql.adaptive.optimizeSkewsInRebalancePartitions.enabled` to decide if should enable the new rule The new rule `OptimizeSkewInRebalancePartitions` only handle two shuffle origin `REBALANCE_PARTITIONS_BY_NONE` and `REBALANCE_PARTITIONS_BY_COL` for data skew issue. And re-use the exists config `ADVISORY_PARTITION_SIZE_IN_BYTES` to decide what partition size should be. ### Why are the changes needed? Currently, we don't support expand partition dynamically in AQE which is not friendly for some data skew job. Let's say if we have a simple query: ``` SELECT /*+ REBALANCE(col) */ * FROM table ``` The column of `col` is skewed, then some shuffle partitions would handle too much data than others. If we haven't inroduced extra shuffle, we can optimize this case by expanding partitions in AQE. ### Does this PR introduce _any_ user-facing change? Yes, a new config ### How was this patch tested? Add test Closes #32883 from ulysses-you/expand-partition. 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.