spark-instrumented-optimizer/sql
Takeshi Yamamuro 92ea7fd7b6 [SPARK-20710][SQL] Support aliases in CUBE/ROLLUP/GROUPING SETS
## What changes were proposed in this pull request?
This pr added  `Analyzer` code for supporting aliases in CUBE/ROLLUP/GROUPING SETS (This is follow-up of #17191).

## How was this patch tested?
Added tests in `SQLQueryTestSuite`.

Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #17948 from maropu/SPARK-20710.
2017-05-12 20:48:30 +08:00
..
catalyst [SPARK-20710][SQL] Support aliases in CUBE/ROLLUP/GROUPING SETS 2017-05-12 20:48:30 +08:00
core [SPARK-20710][SQL] Support aliases in CUBE/ROLLUP/GROUPING SETS 2017-05-12 20:48:30 +08:00
hive [SPARK-20718][SQL][FOLLOWUP] Fix canonicalization for HiveTableScanExec 2017-05-12 20:43:22 +08:00
hive-thriftserver [SPARK-20393][WEBU UI] Strengthen Spark to prevent XSS vulnerabilities 2017-05-10 10:59:57 +01:00
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.