ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
s71955 e402de5fd0 [SPARK-26176][SQL] Verify column names for CTAS with STORED AS 
## What changes were proposed in this pull request?
Currently, users meet job abortions while creating a table using the Hive serde "STORED AS" with invalid column names. We had better prevent this by raising **AnalysisException** with a guide to use aliases instead like Paquet data source tables.
thus making compatible with error message shown while creating Parquet/ORC native table.

**BEFORE**
```scala
scala> sql("set spark.sql.hive.convertMetastoreParquet=false")
scala> sql("CREATE TABLE a STORED AS PARQUET AS SELECT 1 AS `COUNT(ID)`")
Caused by: java.lang.IllegalArgumentException: No enum constant parquet.schema.OriginalType.col1
```

**AFTER**
```scala
scala> sql("CREATE TABLE a STORED AS PARQUET AS SELECT 1 AS `COUNT(ID)`")
 Please use alias to rename it.;eption: Attribute name "count(ID)" contains invalid character(s) among " ,;{}()\n\t=".
```

## How was this patch tested?
Pass the Jenkins with the newly added test case.

Closes #24075 from sujith71955/master_serde.

Authored-by: s71955 <sujithchacko.2010@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-03-19 20:29:47 +08:00
..
catalyst [SPARK-27161][SQL][FOLLOWUP] Drops non-keywords from docs/sql-keywords.md 2019-03-19 20:18:40 +08:00
core [SPARK-26176][SQL] Verify column names for CTAS with STORED AS 2019-03-19 20:29:47 +08:00
hive [SPARK-26176][SQL] Verify column names for CTAS with STORED AS 2019-03-19 20:29:47 +08:00
hive-thriftserver [SPARK-27010][SQL] Find out the actual port number when hive.server2.thrift.port=0 2019-03-12 13:38:41 -05:00
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-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.