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Gabor Somogyi 113f62dd8c [SPARK-27485][FOLLOWUP] Do not reduce the number of partitions for repartition in adaptive execution - fix compilation 
## What changes were proposed in this pull request?

PR builder failed with the following error:
```
[error] /home/jenkins/workspace/SparkPullRequestBuilder/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala:714: wrong number of arguments for pattern org.apache.spark.sql.execution.exchange.ShuffleExchangeExec(outputPartitioning: org.apache.spark.sql.catalyst.plans.physical.Partitioning,child: org.apache.spark.sql.execution.SparkPlan,canChangeNumPartitions: Boolean)
[error]                ShuffleExchangeExec(HashPartitioning(leftPartitioningExpressions, _), _), _),
[error]                                   ^
[error] /home/jenkins/workspace/SparkPullRequestBuilder/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala:716: wrong number of arguments for pattern org.apache.spark.sql.execution.exchange.ShuffleExchangeExec(outputPartitioning: org.apache.spark.sql.catalyst.plans.physical.Partitioning,child: org.apache.spark.sql.execution.SparkPlan,canChangeNumPartitions: Boolean)
[error]                ShuffleExchangeExec(HashPartitioning(rightPartitioningExpressions, _), _), _)) =>
[error]                                   ^
```

## How was this patch tested?

Existing unit test.

Closes #25171 from gaborgsomogyi/SPARK-27485.

Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com>
Signed-off-by: herman <herman@databricks.com>
2019-07-16 12:56:13 +02:00
..
catalyst [SPARK-28395][SQL] Division operator support integral division 2019-07-16 15:43:15 +08:00
core [SPARK-27485][FOLLOWUP] Do not reduce the number of partitions for repartition in adaptive execution - fix compilation 2019-07-16 12:56:13 +02:00
hive [SPARK-28257][SQL] Use ConfigEntry for hardcoded configs in SQL 2019-07-11 22:36:07 -07:00
hive-thriftserver [SPARK-28311][SQL] Fix STS OpenSession failed return wrong origin PROTOCOL_VERSION 2019-07-15 09:35:56 -05:00
create-docs.sh
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
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.