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Gengliang Wang 8258660f67 [SPARK-28741][SQL] Optional mode: throw exceptions when casting to integers causes overflow 
## What changes were proposed in this pull request?

To follow ANSI SQL, we should support a configurable mode that throws exceptions when casting to integers causes overflow.
The behavior is similar to https://issues.apache.org/jira/browse/SPARK-26218, which throws exceptions on arithmetical operation overflow.
To unify it, the configuration is renamed from "spark.sql.arithmeticOperations.failOnOverFlow" to "spark.sql.failOnIntegerOverFlow"
## How was this patch tested?

Unit test

Closes #25461 from gengliangwang/AnsiCastIntegral.

Authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-08-23 21:49:45 +08:00
..
catalyst [SPARK-28741][SQL] Optional mode: throw exceptions when casting to integers causes overflow 2019-08-23 21:49:45 +08:00
core [SPARK-28716][SQL] Add id to Exchange and Subquery's stringArgs method for easier identifying their reuses in query plans 2019-08-23 13:29:32 +02:00
hive [SPARK-28836][SQL] Remove the canonicalize(attributes) method from PlanExpression 2019-08-23 13:26:58 +02:00
hive-thriftserver Revert "[SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server" 2019-08-18 16:54:24 -07:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -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 allow 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.