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donnyzone 310454be3b [SPARK-21739][SQL] Cast expression should initialize timezoneId when it is called statically to convert something into TimestampType 
## What changes were proposed in this pull request?

https://issues.apache.org/jira/projects/SPARK/issues/SPARK-21739

This issue is caused by introducing TimeZoneAwareExpression.
When the **Cast** expression converts something into TimestampType, it should be resolved with setting `timezoneId`. In general, it is resolved in LogicalPlan phase.

However, there are still some places that use Cast expression statically to convert datatypes without setting `timezoneId`. In such cases,  `NoSuchElementException: None.get` will be thrown for TimestampType.

This PR is proposed to fix the issue. We have checked the whole project and found two such usages(i.e., in`TableReader` and `HiveTableScanExec`).

## How was this patch tested?

unit test

Author: donnyzone <wellfengzhu@gmail.com>

Closes #18960 from DonnyZone/spark-21739.
2017-08-17 22:37:32 -07:00
..
catalyst [SPARK-21677][SQL] json_tuple throws NullPointException when column is null as string type 2017-08-17 15:59:45 -07:00
core [SPARK-21677][SQL] json_tuple throws NullPointException when column is null as string type 2017-08-17 15:59:45 -07:00
hive [SPARK-21739][SQL] Cast expression should initialize timezoneId when it is called statically to convert something into TimestampType 2017-08-17 22:37:32 -07:00
hive-thriftserver [SPARK-21428] Turn IsolatedClientLoader off while using builtin Hive jars for reusing CliSessionState 2017-08-18 00:24:45 +08:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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 allows 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.