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Liang-Chi Hsieh 548e66c98a [SPARK-34692][SQL][FOLLOWUP] Add INSET to ReplaceNullWithFalseInPredicate's pattern 
### What changes were proposed in this pull request?

The test added by #31797 has the [failure](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/137741/testReport/org.apache.spark.sql.catalyst.optimizer/ReplaceNullWithFalseInPredicateSuite/SPARK_34692__Support_Not_Int__and_Not_InSet__propagate_null/). This is a followup to fix it.

### Why are the changes needed?

Due to #32157, the rule `ReplaceNullWithFalseInPredicate` will check tree pattern before actually doing transformation. As `null` in `INSET` is not `NULL_LITERAL` pattern, we miss it and fail the newly added `not inset ...` check in `replaceNullWithFalse`.

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

No

### How was this patch tested?

Existing unit tests.

Closes #32278 from viirya/SPARK-34692-followup.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-04-21 19:06:16 -07:00
..
catalyst [SPARK-34692][SQL][FOLLOWUP] Add INSET to ReplaceNullWithFalseInPredicate's pattern 2021-04-21 19:06:16 -07:00
core [SPARK-34897][SQL] Support reconcile schemas based on index after nested column pruning 2021-04-21 10:23:38 -07:00
hive [SPARK-34035][SQL] Refactor ScriptTransformation to remove input parameter and replace it by child.output 2021-04-20 14:52:21 +00:00
hive-thriftserver [SPARK-35068][SQL] Add tests for ANSI intervals to HiveThriftBinaryServerSuite 2021-04-20 13:17:59 +03:00
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-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +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

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.