ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
yi.wu da076153aa [SPARK-30433][SQL] Make conflict attributes resolution more scalable in ResolveReferences 
### What changes were proposed in this pull request?

This PR tries to make conflict attributes resolution in `ResolveReferences` more scalable by doing resolution in batch way.

### Why are the changes needed?

Currently, `ResolveReferences` rule only resolves conflict attributes of one single conflict plan pair in one iteration, which can be inefficient when there're many conflicts.

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

No.

### How was this patch tested?

Covered by existed tests.

Closes #27105 from Ngone51/resolve-conflict-columns-in-batch.

Authored-by: yi.wu <yi.wu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-01-07 12:05:27 +08:00
..
catalyst [SPARK-30433][SQL] Make conflict attributes resolution more scalable in ResolveReferences 2020-01-07 12:05:27 +08:00
core [SPARK-19784][SPARK-25403][SQL] Refresh the table even table stats is empty 2020-01-07 11:41:34 +08:00
hive [SPARK-19784][SPARK-25403][SQL] Refresh the table even table stats is empty 2020-01-07 11:41:34 +08:00
hive-thriftserver [SPARK-30345][SQL] Fix intermittent test failure (ConnectException) on ThriftServerQueryTestSuite/ThriftServerWithSparkContextSuite 2019-12-27 15:30:54 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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.