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Wenchen Fan c734fc504a [SPARK-20121][SQL] simplify NullPropagation with NullIntolerant 
## What changes were proposed in this pull request?

Instead of iterating all expressions that can return null for null inputs, we can just check `NullIntolerant`.

## How was this patch tested?

existing tests

Author: Wenchen Fan <wenchen@databricks.com>

Closes #17450 from cloud-fan/null.
2017-03-30 13:36:36 -07:00
..
catalyst [SPARK-20121][SQL] simplify NullPropagation with NullIntolerant 2017-03-30 13:36:36 -07:00
core [DOCS] Docs-only improvements 2017-03-30 16:07:27 +01:00
hive [DOCS] Docs-only improvements 2017-03-30 16:07:27 +01:00
hive-thriftserver [SPARK-20146][SQL] fix comment missing issue for thrift server 2017-03-29 18:57:35 -07:00
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.