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buzhihuojie 742e0fea53 [SPARK-17895] Improve doc for rangeBetween and rowsBetween 
## What changes were proposed in this pull request?

Copied description for row and range based frame boundary from https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowExec.scala#L56

Added examples to show different behavior of rangeBetween and rowsBetween when involving duplicate values.

Please review https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark before opening a pull request.

Author: buzhihuojie <ren.weiluo@gmail.com>

Closes #15727 from david-weiluo-ren/improveDocForRangeAndRowsBetween.
2016-11-02 11:36:20 -07:00
..
catalyst [SPARK-17683][SQL] Support ArrayType in Literal.apply 2016-11-02 11:29:26 -07:00
core [SPARK-17895] Improve doc for rangeBetween and rowsBetween 2016-11-02 11:36:20 -07:00
hive [SPARK-16839][SQL] Simplify Struct creation code path 2016-11-02 11:12:20 +01:00
hive-thriftserver [SPARK-17350][SQL] Disable default use of KryoSerializer in Thrift Server 2016-11-01 16:23:47 -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.