799a0116a8
### What changes were proposed in this pull request? This PR proposes to add `BooleanType` support to the `UnwrapCastInBinaryComparison` optimizer that is currently supports `NumericType` only. The main idea is to treat `BooleanType` as 1 bit integer so that we can utilize all optimizations already defined in `UnwrapCastInBinaryComparison`. This work is an extension of SPARK-24994 and SPARK-32858 ### Why are the changes needed? Current implementation of Spark without this PR cannot properly optimize the filter for the following case ``` SELECT * FROM t WHERE boolean_field = 2 ``` The above query creates a filter of `cast(boolean_field, int) = 2`. The casting prevents from pushing down the filter. In contrast, this PR creates a `false` filter and returns early as there cannot be such a matching rows anyway (empty results.) ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Passed existing tests ``` build/sbt "catalyst/test" build/sbt "sql/test" ``` Added unit tests ``` build/sbt "catalyst/testOnly *UnwrapCastInBinaryComparisonSuite -- -z SPARK-36607" build/sbt "sql/testOnly *UnwrapCastInComparisonEndToEndSuite -- -z SPARK-36607" ``` Closes #33865 from kazuyukitanimura/SPARK-36607. Authored-by: Kazuyuki Tanimura <ktanimura@apple.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.