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Liang-Chi Hsieh 7463a88be6 [SPARK-20690][SQL] Subqueries in FROM should have alias names 
## What changes were proposed in this pull request?

We add missing attributes into Filter in Analyzer. But we shouldn't do it through subqueries like this:

    select 1 from  (select 1 from onerow t1 LIMIT 1) where  t1.c1=1

This query works in current codebase. However, the outside where clause shouldn't be able to refer `t1.c1` attribute.

The root cause is we allow subqueries in FROM have no alias names previously, it is confusing and isn't supported by various databases such as MySQL, Postgres, Oracle. We shouldn't support it too.

## How was this patch tested?

Jenkins tests.

Please review http://spark.apache.org/contributing.html before opening a pull request.

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

Closes #17935 from viirya/SPARK-20690.
2017-05-17 12:57:35 +08:00
..
catalyst [SPARK-20690][SQL] Subqueries in FROM should have alias names 2017-05-17 12:57:35 +08:00
core [SPARK-20690][SQL] Subqueries in FROM should have alias names 2017-05-17 12:57:35 +08:00
hive [SPARK-19372][SQL] Fix throwing a Java exception at df.fliter() due to 64KB bytecode size limit 2017-05-16 14:47:21 -07:00
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

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.