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yi.wu f6512903da [SPARK-31409][SQL][TEST] Fix failed tests due to result order changing when enable AQE 
### What changes were proposed in this pull request?

This PR fix two tests by avoid result order changing when we enable AQE:

1. In `SQLQueryTestSuite`, disable BHJ optimization to avoid changing result order

2. In test `SQLQuerySuite#check outputs of expression examples`, disable  `spark.sql.adaptive.coalescePartitions.enabled`  to avoid changing result order

### Why are the changes needed?

query 147 in SQLQueryTestSuite#"udf/postgreSQL/udf-join.sql - Scala UDF" and test sql/SQLQuerySuite#"check outputs of expression examples" can fail when enable AQE due to result order changing. And this PR fix them.

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

No.

### How was this patch tested?

Tested manually with AQE enabled.

Closes #28178 from Ngone51/fix_order.

Authored-by: yi.wu <yi.wu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-04-13 14:36:25 +00:00
..
catalyst [SPARK-31402][SQL] Fix rebasing of BCE dates/timestamps 2020-04-13 06:07:31 +00:00
core [SPARK-31409][SQL][TEST] Fix failed tests due to result order changing when enable AQE 2020-04-13 14:36:25 +00:00
hive [SPARK-31407][SQL][TEST] TestHiveQueryExecution should respect database when creating table 2020-04-13 19:04:36 +09:00
hive-thriftserver [SPARK-31291][SQL][TEST][FOLLOWUP] Fix resource loading error in ThriftServerQueryTestSuite 2020-04-11 08:23:59 -07:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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

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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.