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angerszhu 56ab60fb7a [SPARK-32388][SQL] TRANSFORM with schema-less mode should keep the same with hive 
### What changes were proposed in this pull request?
In current Spark script transformation with hive serde mode, in case of schema less, result is different with hive.
This pr to keep result same with hive script transform  serde.

#### Hive Scrip Transform with serde in schemaless
```
hive> create table t (c0 int, c1 int, c2 int);
hive> INSERT INTO t VALUES (1, 1, 1);
hive> INSERT INTO t VALUES (2, 2, 2);
hive> CREATE VIEW v AS SELECT TRANSFORM(c0, c1, c2) USING 'cat' FROM t;

hive> DESCRIBE v;
key                 	string
value               	string

hive> SELECT * FROM v;
1	1	1
2	2	2

hive> SELECT key FROM v;
1
2

hive> SELECT value FROM v;
1	1
2	2
```

#### Spark script transform with hive serde in schema less.
```
hive> create table t (c0 int, c1 int, c2 int);
hive> INSERT INTO t VALUES (1, 1, 1);
hive> INSERT INTO t VALUES (2, 2, 2);
hive> CREATE VIEW v AS SELECT TRANSFORM(c0, c1, c2) USING 'cat' FROM t;

hive> SELECT * FROM v;
1   1
2   2
```

**No serde mode in hive (ROW FORMATTED DELIMITED)**
![image](https://user-images.githubusercontent.com/46485123/90088770-55841e00-dd52-11ea-92dd-7fe52d93f0b3.png)

### Why are the changes needed?
Keep same behavior with hive script transform

### Does this PR introduce _any_ user-facing change?
Before this pr with hive serde script transform
```
select transform(*)
USING 'cat'
from (
select 1, 2, 3, 4
) tmp

key     value
1         2
```
After
```
select transform(*)
USING 'cat'
from (
select 1, 2, 3, 4
) tmp

key     value
1         2   3  4
```
### How was this patch tested?
UT

Closes #29421 from AngersZhuuuu/SPARK-32388.

Authored-by: angerszhu <angers.zhu@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-10-26 11:20:29 +09:00
..
catalyst [MINOR][DOCS][TESTS] Fix PLAN_CHANGE_LOG_LEVEL document 2020-10-23 13:35:46 +09:00
core [SPARK-32388][SQL] TRANSFORM with schema-less mode should keep the same with hive 2020-10-26 11:20:29 +09:00
hive [SPARK-32388][SQL] TRANSFORM with schema-less mode should keep the same with hive 2020-10-26 11:20:29 +09:00
hive-thriftserver [SPARK-33193][SQL][TEST] Hive ThriftServer JDBC Database MetaData API Behavior Auditing 2020-10-23 13:34:33 -07:00
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.