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ulysses f2fc966674 [SPARK-32877][SQL][TEST] Add test for Hive UDF complex decimal type 
### What changes were proposed in this pull request?

Add test to cover Hive UDF whose input contains complex decimal type.
Add comment to explain why we can't make `HiveSimpleUDF` extend `ImplicitTypeCasts`.

### Why are the changes needed?

For better test coverage with Hive which we compatible or not.

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

No.

### How was this patch tested?

Add test.

Closes #29863 from ulysses-you/SPARK-32877-test.

Authored-by: ulysses <youxiduo@weidian.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-09-24 22:16:05 -07:00
..
catalyst [SPARK-32990][SQL] Migrate REFRESH TABLE to use UnresolvedTableOrView to resolve the identifier 2020-09-25 04:29:09 +00:00
core [SPARK-32990][SQL] Migrate REFRESH TABLE to use UnresolvedTableOrView to resolve the identifier 2020-09-25 04:29:09 +00:00
hive [SPARK-32877][SQL][TEST] Add test for Hive UDF complex decimal type 2020-09-24 22:16:05 -07:00
hive-thriftserver [SPARK-32874][SQL][FOLLOWUP][TEST-HIVE1.2][TEST-HADOOP2.7] Fix spark-master-test-sbt-hadoop-2.7-hive-1.2 2020-09-18 11:55:27 +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.