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Liang-Chi Hsieh d6c095c92c [SPARK-32693][SQL] Compare two dataframes with same schema except nullable property 
### What changes were proposed in this pull request?

This PR changes key data types check in `HashJoin` to use `sameType`.

### Why are the changes needed?

Looks at the resolving condition of `SetOperation`, it requires only each left data types should be `sameType` as the right ones. Logically the `EqualTo` expression in equi-join, also requires only left data type `sameType` as right data type. Then `HashJoin` requires left keys data type exactly the same as right keys data type, looks not reasonable.

It makes inconsistent results when doing `except` between two dataframes.

If two dataframes don't have nested fields, even their field nullable property different, `HashJoin` passes the key type check because it checks field individually so field nullable property is ignored.

If two dataframes have nested fields like struct, `HashJoin` fails the key type check because now it compare two struct types and nullable property now affects.

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

Yes. Making consistent `except` operation between dataframes.

### How was this patch tested?

Unit test.

Closes #29555 from viirya/SPARK-32693.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2020-08-28 10:32:23 +09:00
..
catalyst [SPARK-32516][SQL][FOLLOWUP] 'path' option cannot coexist with path parameter for DataFrameWriter.save(), DataStreamReader.load() and DataStreamWriter.start() 2020-08-27 06:21:04 +00:00
core [SPARK-32693][SQL] Compare two dataframes with same schema except nullable property 2020-08-28 10:32:23 +09:00
hive [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl 2020-08-14 06:59:15 +00:00
hive-thriftserver [SPARK-32696][SQL][TEST-HIVE1.2][TEST-HADOOP2.7] Get columns operation should handle interval column properly 2020-08-27 06:52:34 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +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.