spark-instrumented-optimizer/sql
pgandhi 0969d7aa0c [SPARK-27207][SQL] : Ensure aggregate buffers are initialized again for So…
…rtBasedAggregate

Normally, the aggregate operations that are invoked for an aggregation buffer for User Defined Aggregate Functions(UDAF) follow the order like initialize(), update(), eval() OR initialize(), merge(), eval(). However, after a certain threshold configurable by spark.sql.objectHashAggregate.sortBased.fallbackThreshold is reached, ObjectHashAggregate falls back to SortBasedAggregator which invokes the merge or update operation without calling initialize() on the aggregate buffer.

## What changes were proposed in this pull request?

The fix here is to initialize aggregate buffers again when fallback to SortBasedAggregate operator happens.

## How was this patch tested?

The patch was tested as part of [SPARK-24935](https://issues.apache.org/jira/browse/SPARK-24935) as documented in PR https://github.com/apache/spark/pull/23778.

Closes #24149 from pgandhi999/SPARK-27207.

Authored-by: pgandhi <pgandhi@verizonmedia.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-05-09 11:12:20 +08:00
..
catalyst [SPARK-27207][SQL] : Ensure aggregate buffers are initialized again for So… 2019-05-09 11:12:20 +08:00
core [SPARK-27627][SQL] Make option "pathGlobFilter" as a general option for all file sources 2019-05-09 08:41:43 +09:00
hive [SPARK-27555][SQL] HiveSerDe should fall back to hadoopconf if hive.default.fileformat is not found in SQLConf 2019-05-04 09:02:12 +09:00
hive-thriftserver [SPARK-27639][SQL] InMemoryTableScan shows the table name on UI if possible 2019-05-07 21:00:13 -07:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 an extension of SQLContext called HiveContext that allows 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.