spark-instrumented-optimizer/sql
Zhenhua Wang 884347e1f7 [HOT FIX] fix stats functions in the recent patch
## What changes were proposed in this pull request?

Builds failed due to the recent [merge](b449a1d6aa). This is because [PR#18309](https://github.com/apache/spark/pull/18309) needed update after [this patch](b803b66a81) was merged.

## How was this patch tested?
N/A

Author: Zhenhua Wang <wzh_zju@163.com>

Closes #18415 from wzhfy/hotfixStats.
2017-06-25 15:06:29 +01:00
..
catalyst [SPARK-21203][SQL] Fix wrong results of insertion of Array of Struct 2017-06-24 22:35:59 +08:00
core [SPARK-21079][SQL] Calculate total size of a partition table as a sum of individual partitions 2017-06-24 22:49:35 -07:00
hive [HOT FIX] fix stats functions in the recent patch 2017-06-25 15:06:29 +01:00
hive-thriftserver [SPARK-20345][SQL] Fix STS error handling logic on HiveSQLException 2017-06-12 14:05:03 -07:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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.