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Kazuaki Ishizaki e4bec7cb88 [SPARK-23549][SQL] Cast to timestamp when comparing timestamp with date 
## What changes were proposed in this pull request?

This PR fixes an incorrect comparison in SQL between timestamp and date. This is because both of them are casted to `string` and then are compared lexicographically. This implementation shows `false` regarding this query `spark.sql("select cast('2017-03-01 00:00:00' as timestamp) between cast('2017-02-28' as date) and cast('2017-03-01' as date)").show`.

This PR shows `true` for this query by casting `date("2017-03-01")` to `timestamp("2017-03-01 00:00:00")`.

(Please fill in changes proposed in this fix)

## How was this patch tested?

Added new UTs to `TypeCoercionSuite`.

Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com>

Closes #20774 from kiszk/SPARK-23549.
2018-03-25 16:38:49 -07:00
..
catalyst [SPARK-23549][SQL] Cast to timestamp when comparing timestamp with date 2018-03-25 16:38:49 -07:00
core [SPARK-23549][SQL] Cast to timestamp when comparing timestamp with date 2018-03-25 16:38:49 -07:00
hive [SPARK-23553][TESTS] Tests should not assume the default value of spark.sql.sources.default 2018-03-16 09:36:30 -07:00
hive-thriftserver [SPARK-23547][SQL] Cleanup the .pipeout file when the Hive Session closed 2018-03-13 11:31:32 -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-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.