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Xiao Li 7c02c143aa [SPARK-28292][SQL] Enable Injection of User-defined Hint 
### What changes were proposed in this pull request?
Move the rule `RemoveAllHints` after the batch `Resolution`.

### Why are the changes needed?
User-defined hints can be resolved by the rules injected via `extendedResolutionRules` or `postHocResolutionRules`.

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
Added a test case

Closes #25746 from gatorsmile/moveRemoveAllHints.

Authored-by: Xiao Li <gatorsmile@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-09-24 18:04:17 +08:00
..
catalyst [SPARK-28292][SQL] Enable Injection of User-defined Hint 2019-09-24 18:04:17 +08:00
core [SPARK-28292][SQL] Enable Injection of User-defined Hint 2019-09-24 18:04:17 +08:00
hive [SPARK-29140][SQL] Handle parameters having "array" of javaType properly in splitAggregateExpressions 2019-09-21 16:29:23 +09:00
hive-thriftserver [SPARK-28527][SQL][TEST] Enable ThriftServerQueryTestSuite 2019-09-24 00:44:33 -07:00
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 [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.