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sandeep katta 16e5e79877 [SPARK-28670][SQL] create function should thrown Exception if the resource is not found 
## What changes were proposed in this pull request?

Create temporary or permanent function it should throw AnalysisException if the resource is not found. Need to keep behavior consistent across permanent and temporary functions.

## How was this patch tested?

Added UT and also tested manually

**Before Fix**
If the UDF resource is not present then on creation of temporary function it throws AnalysisException where as for permanent function it does not throw. Permanent funtcion  throws AnalysisException only after select operation is performed.

**After Fix**

For temporary and permanent function check for the resource, if the UDF resource is not found then throw AnalysisException

![rt](https://user-images.githubusercontent.com/35216143/62781519-d1131580-bad5-11e9-9d58-69e65be86c03.png)

Closes #25399 from sandeep-katta/funcIssue.

Authored-by: sandeep katta <sandeep.katta2007@gmail.com>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2019-12-28 14:35:33 +09:00
..
catalyst [SPARK-30356][SQL] Codegen support for the function str_to_map 2019-12-27 21:44:03 +08:00
core [SPARK-28670][SQL] create function should thrown Exception if the resource is not found 2019-12-28 14:35:33 +09:00
hive [SPARK-17398][SQL] Fix ClassCastException when querying partitioned JSON table 2019-12-20 10:39:26 -08:00
hive-thriftserver [SPARK-30345][SQL] Fix intermittent test failure (ConnectException) on ThriftServerQueryTestSuite/ThriftServerWithSparkContextSuite 2019-12-27 15:30:54 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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.