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liuxian ea3b1e352a [SPARK-20763][SQL] The function of month and day return the value which is not we expected. 
## What changes were proposed in this pull request?
spark-sql>select month("1582-09-28");
spark-sql>10
For this case, the expected result is 9, but it is 10.

spark-sql>select day("1582-04-18");
spark-sql>28
For this case, the expected result is 18, but it is 28.

when the date  before "1582-10-04", the function of `month` and `day` return the value which is not we expected.

## How was this patch tested?
unit tests

Author: liuxian <liu.xian3@zte.com.cn>

Closes #17997 from 10110346/wip_lx_0516.
2017-05-19 10:25:21 -07:00
..
catalyst [SPARK-20763][SQL] The function of month and day return the value which is not we expected. 2017-05-19 10:25:21 -07:00
core [SPARK-20751][SQL] Add built-in SQL Function - COT 2017-05-19 09:40:22 -07:00
hive [SPARK-19372][SQL] Fix throwing a Java exception at df.fliter() due to 64KB bytecode size limit 2017-05-16 14:47:21 -07:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +01:00
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.