spark-instrumented-optimizer/sql
Wenchen Fan 658e95c345 [SPARK-34833][SQL][FOLLOWUP] Handle outer references in all the places
### What changes were proposed in this pull request?

This is a follow-up of https://github.com/apache/spark/pull/31940 . This PR generalizes the matching of attributes and outer references, so that outer references are handled everywhere.

Note that, currently correlated subquery has a lot of limitations in Spark, and the newly covered cases are not possible to happen. So this PR is a code refactor.

### Why are the changes needed?

code cleanup

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

no

### How was this patch tested?

existing tests

Closes #31959 from cloud-fan/follow.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2021-03-26 09:10:03 +09:00
..
catalyst [SPARK-34833][SQL][FOLLOWUP] Handle outer references in all the places 2021-03-26 09:10:03 +09:00
core [SPARK-33600][SQL] Group exception messages in execution/datasources/v2 2021-03-25 16:15:30 +00:00
hive [SPARK-34852][SQL] Close Hive session state should use withHiveState 2021-03-25 10:21:44 +08:00
hive-thriftserver [SPARK-34700][SQL] SessionCatalog's temporary view related APIs should take/return more concrete types 2021-03-22 08:17:54 +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

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.