spark-instrumented-optimizer/sql
Liwei Lin d6795c7a25 [SPARK-16515][SQL][FOLLOW-UP] Fix test script on OS X/Windows...
## Problem

The current `sed` in `test_script.sh` is missing a `$`, leading to the failure of `script` test on OS X:
```
== Results ==
!== Correct Answer - 2 ==   == Spark Answer - 2 ==
![x1_y1]                    [x1]
![x2_y2]                    [x2]
```

In addition, this `script` test would also fail on systems like Windows where we couldn't be able to invoke `bash` or `echo | sed`.

## What changes were proposed in this pull request?
This patch
- fixes `sed` in `test_script.sh`
- adds command guards so that the `script` test would pass on systems like Windows

## How was this patch tested?

- Jenkins
- Manually verified tests pass on OS X

Author: Liwei Lin <lwlin7@gmail.com>

Closes #14280 from lw-lin/osx-sed.
2016-07-24 08:35:57 +01:00
..
catalyst [SPARK-16622][SQL] Fix NullPointerException when the returned value of the called method in Invoke is null 2016-07-23 10:27:16 +08:00
core [SPARK-16690][TEST] rename SQLTestUtils.withTempTable to withTempView 2016-07-23 11:39:48 -07:00
hive [SPARK-16515][SQL][FOLLOW-UP] Fix test script on OS X/Windows... 2016-07-24 08:35:57 +01:00
hive-thriftserver [SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent 2016-07-19 11:59:46 +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.