spark-instrumented-optimizer/sql
Anton Okolnychyi c24f2b2d6a
[SPARK-33612][SQL] Add dataSourceRewriteRules batch to Optimizer
### What changes were proposed in this pull request?

This PR adds a new batch to the optimizer for executing rules that rewrite plans for data sources.

### Why are the changes needed?

Right now, we have a special place in the optimizer where we construct v2 scans. As time shows, we need more rewrite rules that would be executed after the operator optimization and before any stats-related rules for v2 tables. Not all rules will be specific to reads. One option is to rename the current batch into something more generic but it would require changing quite some places. That's why it seems better to introduce a new batch and use it for all rewrites. The name is generic so that we don't limit ourselves to v2 data sources only.

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

No.

### How was this patch tested?

The change is trivial and SPARK-23889 will depend on it.

Closes #30558 from aokolnychyi/spark-33612.

Authored-by: Anton Okolnychyi <aokolnychyi@apple.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2020-12-01 09:27:46 -08:00
..
catalyst [SPARK-33612][SQL] Add dataSourceRewriteRules batch to Optimizer 2020-12-01 09:27:46 -08:00
core [SPARK-33612][SQL] Add dataSourceRewriteRules batch to Optimizer 2020-12-01 09:27:46 -08:00
hive [SPARK-33452][SQL] Support v2 SHOW PARTITIONS 2020-11-30 13:45:53 +00:00
hive-thriftserver [SPARK-33448][SQL] Support CACHE/UNCACHE TABLE commands for v2 tables 2020-11-30 05:37:10 +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.