spark-instrumented-optimizer/sql
allisonwang-db 1e85707738 [SPARK-33697][SQL] RemoveRedundantProjects should require column ordering by default
### What changes were proposed in this pull request?
This PR changes the rule `RemoveRedundantProjects` from by default passing column ordering requirements from parent nodes to always require column orders regardless of the requirements from parent nodes unless otherwise specified. More specifically, instead of excluding a few nodes like GenerateExec, UnionExec that are known to require children columns to be ordered, the rule now includes a whitelist of nodes that allow passing through the ordering requirements from their parents.

### Why are the changes needed?
Currently, this rule passes through ordering requirements from parents directly to children except for a few excluded nodes. This incorrectly removes the necessary project nodes below a UnionExec since it is not excluded. An earlier PR also fixed a similar issue for GenerateExec (SPARK-32861). In order to prevent similar issues, the rule should be changed to always require column ordering except for a few specific nodes that we know for sure can pass through the requirements.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Unit tests

Closes #30659 from allisonwang-db/spark-33697-remove-project-union.

Authored-by: allisonwang-db <66282705+allisonwang-db@users.noreply.github.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-12-17 05:47:44 +00:00
..
catalyst [SPARK-33815][SQL] Migrate ALTER TABLE ... SET [SERDE|SERDEPROPERTIES] to use UnresolvedTable to resolve the identifier 2020-12-17 05:25:51 +00:00
core [SPARK-33697][SQL] RemoveRedundantProjects should require column ordering by default 2020-12-17 05:47:44 +00:00
hive [SPARK-33815][SQL] Migrate ALTER TABLE ... SET [SERDE|SERDEPROPERTIES] to use UnresolvedTable to resolve the identifier 2020-12-17 05:25:51 +00:00
hive-thriftserver [SPARK-33705][SQL][TEST] Fix HiveThriftHttpServerSuite flakiness 2020-12-14 05:14:38 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +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.