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lihao 79464bed2f [SPARK-28662][SQL] Create Hive Partitioned Table DDL should fail when partition column type missed 
## What changes were proposed in this pull request?
Create Hive Partitioned Table without specifying data type for partition column will success unexpectedly.
```HiveQL
// create a hive table partition by b, but the data type of b isn't specified.
CREATE TABLE tbl(a int) PARTITIONED BY (b) STORED AS parquet
```
In https://issues.apache.org/jira/browse/SPARK-26435 ,  PARTITIONED BY clause  are extended to support Hive CTAS as following:
```ANTLR
// Before
(PARTITIONED BY '(' partitionColumns=colTypeList ')'

 // After
(PARTITIONED BY '(' partitionColumns=colTypeList ')'|
PARTITIONED BY partitionColumnNames=identifierList) |
```

Create Table Statement like above case will pass the syntax check,  and recognized as (PARTITIONED BY partitionColumnNames=identifierList) 。

This PR  will check this case in visitCreateHiveTable and throw a exception which contains  explicit error message to user.

## How was this patch tested?

Added tests.

Closes #25390 from lidinghao/hive-ddl-fix.

Authored-by: lihao <lihaowhu@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-08-20 14:37:04 +08:00
..
catalyst [SPARK-28775][CORE][TESTS] Skip date 8633 in Kwajalein due to changes in tzdata2018i that only some JDK 8s use 2019-08-19 17:54:25 -07:00
core [SPARK-28662][SQL] Create Hive Partitioned Table DDL should fail when partition column type missed 2019-08-20 14:37:04 +08:00
hive [SPARK-28662][SQL] Create Hive Partitioned Table DDL should fail when partition column type missed 2019-08-20 14:37:04 +08:00
hive-thriftserver Revert "[SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server" 2019-08-18 16:54:24 -07:00
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-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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 an extension of SQLContext called HiveContext that allows 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.