ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Srinath Shankar ba1737c21a [SPARK-17158][SQL] Change error message for out of range numeric literals 
## What changes were proposed in this pull request?

Modifies error message for numeric literals to
Numeric literal <literal> does not fit in range [min, max] for type <T>

## How was this patch tested?

Fixed up the error messages for literals.sql in  SqlQueryTestSuite and re-ran via sbt. Also fixed up error messages in ExpressionParserSuite

Author: Srinath Shankar <srinath@databricks.com>

Closes #14721 from srinathshankar/sc4296.
2016-08-19 19:54:26 -07:00
..
catalyst [SPARK-17158][SQL] Change error message for out of range numeric literals 2016-08-19 19:54:26 -07:00
core [SPARK-17158][SQL] Change error message for out of range numeric literals 2016-08-19 19:54:26 -07:00
hive [SPARK-17149][SQL] array.sql for testing array related functions 2016-08-19 18:14:45 -07:00
hive-thriftserver [SPARK-16941] Use concurrentHashMap instead of scala Map in SparkSQLOperationManager. 2016-08-11 11:28:28 +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.