spark-instrumented-optimizer/sql
Kazuaki Ishizaki 9e0f9591af [SPARK-23997][SQL][FOLLOWUP] Update exception message
## What changes were proposed in this pull request?

This PR is an follow-up PR of #21087 based on [a discussion thread](https://github.com/apache/spark/pull/21087#discussion_r211080067]. Since #21087 changed a condition of `if` statement, the message in an exception is not consistent of the current behavior.
This PR updates the exception message.

## How was this patch tested?

Existing UTs

Closes #22269 from kiszk/SPARK-23997-followup.

Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2018-08-30 11:21:40 -05:00
..
catalyst [SPARK-23997][SQL][FOLLOWUP] Update exception message 2018-08-30 11:21:40 -05:00
core [SQL][MINOR] Fix compiling for scala 2.12 2018-08-30 15:05:36 +08:00
hive [SPARK-24716][TESTS][FOLLOW-UP] Test Hive metastore schema and parquet schema are in different letter cases 2018-08-30 16:24:47 +08:00
hive-thriftserver [SPARK-25043] print master and appId from spark-sql on startup 2018-08-14 13:15:55 -05:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.