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Imran Rashid acf7ef3154 [SPARK-12297][SQL] Adjust timezone for int96 data from impala 
## What changes were proposed in this pull request?

Int96 data written by impala vs data written by hive & spark is stored slightly differently -- they use a different offset for the timezone.  This adds an option "spark.sql.parquet.int96TimestampConversion" (false by default) to adjust timestamps if and only if the writer is impala (or more precisely, if the parquet file's "createdBy" metadata does not start with "parquet-mr").  This matches the existing behavior in hive from HIVE-9482.

## How was this patch tested?

Unit test added, existing tests run via jenkins.

Author: Imran Rashid <irashid@cloudera.com>
Author: Henry Robinson <henry@apache.org>

Closes #19769 from squito/SPARK-12297_skip_conversion.
2017-12-09 11:53:15 +09:00
..
catalyst [SPARK-12297][SQL] Adjust timezone for int96 data from impala 2017-12-09 11:53:15 +09:00
core [SPARK-12297][SQL] Adjust timezone for int96 data from impala 2017-12-09 11:53:15 +09:00
hive [SPARK-22279][SQL] Turn on spark.sql.hive.convertMetastoreOrc by default 2017-12-07 15:45:23 -08:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
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.