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Angerszhuuuu 4ca9958270 [SPARK-35069][SQL] TRANSFORM forbidden DISTICNT and ALL, also make the error clear 
### What changes were proposed in this pull request?
According to https://github.com/apache/spark/pull/29087#discussion_r612267050,  add UT in `transform.sql`

It seems that distinct is not recognized as a reserved word here

```
-- !query
explain extended SELECT TRANSFORM(distinct b, a, c)
                   USING 'cat' AS (a, b, c)
                 FROM script_trans
                 WHERE a <= 4
-- !query schema
struct<plan:string>
-- !query output
== Parsed Logical Plan ==
'ScriptTransformation [*], cat, [a#x, b#x, c#x], ScriptInputOutputSchema(List(),List(),None,None,List(),List(),None,None,false)
+- 'Project ['distinct AS b#x, 'a, 'c]
   +- 'Filter ('a <= 4)
      +- 'UnresolvedRelation [script_trans], [], false

== Analyzed Logical Plan ==
org.apache.spark.sql.AnalysisException: cannot resolve 'distinct' given input columns: [script_trans.a, script_trans.b, script_trans.c]; line 1 pos 34;
'ScriptTransformation [*], cat, [a#x, b#x, c#x], ScriptInputOutputSchema(List(),List(),None,None,List(),List(),None,None,false)
+- 'Project ['distinct AS b#x, a#x, c#x]
   +- Filter (a#x <= 4)
      +- SubqueryAlias script_trans
         +- View (`script_trans`, [a#x,b#x,c#x])
            +- Project [cast(a#x as int) AS a#x, cast(b#x as int) AS b#x, cast(c#x as int) AS c#x]
               +- Project [a#x, b#x, c#x]
                  +- SubqueryAlias script_trans
                     +- LocalRelation [a#x, b#x, c#x]
```

Hive's error
![image](https://user-images.githubusercontent.com/46485123/114533170-355d8380-9c80-11eb-992f-982f0b296759.png)

### Why are the changes needed?

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

### How was this patch tested?
Added Ut

Closes #32149 from AngersZhuuuu/SPARK-28227-new-followup.

Authored-by: Angerszhuuuu <angers.zhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-04-14 15:03:29 +00:00
..
catalyst [SPARK-35069][SQL] TRANSFORM forbidden DISTICNT and ALL, also make the error clear 2021-04-14 15:03:29 +00:00
core [SPARK-35069][SQL] TRANSFORM forbidden DISTICNT and ALL, also make the error clear 2021-04-14 15:03:29 +00:00
hive [SPARK-34977][SQL] LIST FILES/JARS/ARCHIVES cannot handle multiple arguments properly when at least one path is quoted 2021-04-14 10:33:45 +09:00
hive-thriftserver [MINOR][TESTS] Enhance the test instruction of ThriftServerQueryTestSuite 2021-04-13 16:49:20 +08:00
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.