spark-instrumented-optimizer/sql
Liang-Chi Hsieh 90848d5074 [SPARK-23284][SQL] Document the behavior of several ColumnVector's get APIs when accessing null slot
## What changes were proposed in this pull request?

For some ColumnVector get APIs such as getDecimal, getBinary, getStruct, getArray, getInterval, getUTF8String, we should clearly document their behaviors when accessing null slot. They should return null in this case. Then we can remove null checks from the places using above APIs.

For the APIs of primitive values like getInt, getInts, etc., this also documents their behaviors when accessing null slots. Their returning values are undefined and can be anything.

## How was this patch tested?

Added tests into `ColumnarBatchSuite`.

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #20455 from viirya/SPARK-23272-followup.
2018-02-02 10:18:32 +08:00
..
catalyst [SQL][MINOR] Inline SpecifiedWindowFrame.defaultWindowFrame(). 2018-01-31 20:59:19 -08:00
core [SPARK-23284][SQL] Document the behavior of several ColumnVector's get APIs when accessing null slot 2018-02-02 10:18:32 +08:00
hive [SQL][MINOR] Inline SpecifiedWindowFrame.defaultWindowFrame(). 2018-01-31 20:59:19 -08:00
hive-thriftserver [SPARK-13983][SQL] Fix HiveThriftServer2 can not get "--hiveconf" and ''--hivevar" variables since 2.0 2018-02-01 10:36:31 -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

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.