spark-instrumented-optimizer/sql
IonutBoicuAms 2b665751d9 [SPARK-36489][SQL] Aggregate functions over no grouping keys, on tables with a single bucket, return multiple rows
### What changes were proposed in this pull request?

This PR fixes a bug in `DisableUnnecessaryBucketedScan`.
When running any aggregate function, without any grouping keys, on a table with a single bucket, multiple rows are returned.
This happens because the aggregate function satisfies the `AllTuples` distribution, no `Exchange` will be planned, and the bucketed scan will be disabled.

### Why are the changes needed?

Bug fixing. Aggregates over no grouping keys should return a single row.

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

No.

### How was this patch tested?

Added new test in `DisableUnnecessaryBucketedScanSuite`.

Closes #33711 from IonutBoicuAms/fix-bug-disableunnecessarybucketedscan.

Authored-by: IonutBoicuAms <ionut.boicu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-08-12 15:22:38 +08:00
..
catalyst [SPARK-36445][SQL] ANSI type coercion rule for date time operations 2021-08-11 11:55:45 +08:00
core [SPARK-36489][SQL] Aggregate functions over no grouping keys, on tables with a single bucket, return multiple rows 2021-08-12 15:22:38 +08:00
hive [SPARK-36421][SQL][DOCS] Use ConfigEntry.key to fix docs and set command results 2021-08-06 11:01:47 +09:00
hive-thriftserver [SPARK-36410][CORE][SQL][STRUCTURED STREAMING][EXAMPLES] Replace anonymous classes with lambda expressions 2021-08-09 19:28:31 +09:00
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 [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.