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Kris Mok 26ac2ce05c [SPARK-20482][SQL] Resolving Casts is too strict on having time zone set 
## What changes were proposed in this pull request?

Relax the requirement that a `TimeZoneAwareExpression` has to have its `timeZoneId` set to be considered resolved.
With this change, a `Cast` (which is a `TimeZoneAwareExpression`) can be considered resolved if the `(fromType, toType)` combination doesn't require time zone information.

Also de-relaxed test cases in `CastSuite` so Casts in that test suite don't get a default`timeZoneId = Option("GMT")`.

## How was this patch tested?

Ran the de-relaxed`CastSuite` and it's passing. Also ran the SQL unit tests and they're passing too.

Author: Kris Mok <kris.mok@databricks.com>

Closes #17777 from rednaxelafx/fix-catalyst-cast-timezone.
2017-04-27 12:08:16 -07:00
..
catalyst [SPARK-20482][SQL] Resolving Casts is too strict on having time zone set 2017-04-27 12:08:16 -07:00
core [SPARK-20425][SQL] Support a vertical display mode for Dataset.show 2017-04-26 22:18:01 -07:00
hive [SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOT 2017-04-24 21:48:04 -07:00
hive-thriftserver [SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOT 2017-04-24 21:48:04 -07:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.