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Cheng Su 5cc17ba0c7 [SPARK-35351][SQL][FOLLOWUP] Avoid using loaded variable for LEFT ANTI SMJ code-gen 
### What changes were proposed in this pull request?

This is a followup from https://github.com/apache/spark/pull/32547#discussion_r639916474, where for LEFT ANTI join, we do not need to depend on `loaded` variable, as in `codegenAnti` we only load `streamedAfter` no more than once (i.e. assign column values from streamed row which are not used in join condition).

### Why are the changes needed?

Avoid unnecessary processing in code-gen (though it's just `boolean $loaded = false;`, and `if (!$loaded) { $loaded = true; }`).

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Existing unite tests in `ExistenceJoinSuite`.

Closes #32681 from c21/join-followup.

Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-05-27 04:59:54 +00:00
..
catalyst [SPARK-35282][SQL] Support AQE side shuffled hash join formula using rule 2021-05-26 14:16:04 +00:00
core [SPARK-35351][SQL][FOLLOWUP] Avoid using loaded variable for LEFT ANTI SMJ code-gen 2021-05-27 04:59:54 +00:00
hive [SPARK-35527][SQL][TESTS] Fix HiveExternalCatalogVersionsSuite to pass with Java 11 2021-05-26 17:20:51 +09:00
hive-thriftserver [SPARK-35286][SQL] Replace SessionState.start with SessionState.setCurrentSessionState 2021-05-16 18:39:15 +08:00
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
README.md

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.