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Posted to commits@spark.apache.org by ma...@apache.org on 2016/01/04 17:42:42 UTC

svn commit: r1722917 - in /spark: releases/_posts/2016-01-04-spark-release-1-6-0.md site/releases/spark-release-1-6-0.html

Author: marmbrus
Date: Mon Jan  4 16:42:42 2016
New Revision: 1722917

URL: http://svn.apache.org/viewvc?rev=1722917&view=rev
Log:
Remove broken links from Spark 1.6.0 page

Modified:
    spark/releases/_posts/2016-01-04-spark-release-1-6-0.md
    spark/site/releases/spark-release-1-6-0.html

Modified: spark/releases/_posts/2016-01-04-spark-release-1-6-0.md
URL: http://svn.apache.org/viewvc/spark/releases/_posts/2016-01-04-spark-release-1-6-0.md?rev=1722917&r1=1722916&r2=1722917&view=diff
==============================================================================
--- spark/releases/_posts/2016-01-04-spark-release-1-6-0.md (original)
+++ spark/releases/_posts/2016-01-04-spark-release-1-6-0.md Mon Jan  4 16:42:42 2016
@@ -22,9 +22,9 @@ You can consult JIRA for the [detailed c
 ### Spark Core/SQL
 
 - **API Updates**
-  - [SPARK-9999 ](https://issues.apache.org/jira/browse/SPARK-9999) **Dataset API** - A new Spark API, similar to RDDs, that allows users to work with custom objects and lambda functions while still gaining the benefits of the Spark SQL execution engine. Examples: [WordCount](examples/datasets.wordcount.scala.html), [Typed Aggregators](examples/datasets.aggregator.scala.html)
+  - [SPARK-9999 ](https://issues.apache.org/jira/browse/SPARK-9999) **Dataset API** - A new Spark API, similar to RDDs, that allows users to work with custom objects and lambda functions while still gaining the benefits of the Spark SQL execution engine.
   - [SPARK-10810](https://issues.apache.org/jira/browse/SPARK-10810) **Session Management** - Different users can share a cluster while having different configuration and temporary tables.
-  - [SPARK-11197](https://issues.apache.org/jira/browse/SPARK-11197) **SQL Queries on Files**  - Concise syntax for running SQL queries over files of any supported format without registering a table. [Example Usage](examples/query.files.sql.html)
+  - [SPARK-11197](https://issues.apache.org/jira/browse/SPARK-11197) **SQL Queries on Files**  - Concise syntax for running SQL queries over files of any supported format without registering a table.
   - [SPARK-11745](https://issues.apache.org/jira/browse/SPARK-11745) **Reading non-standard JSON files**  - Added options to read non-standard JSON files (e.g. single-quotes, unquoted attributes)
   - [SPARK-10412](https://issues.apache.org/jira/browse/SPARK-10412) **Per-operator Metrics for SQL Execution** - Display statistics on a per-operator basis for memory usage and spilled data size.
   - [SPARK-11329](https://issues.apache.org/jira/browse/SPARK-11329) **Star (*) expansion for StructTypes** - Makes it easier to nest and unnest arbitrary numbers of columns

Modified: spark/site/releases/spark-release-1-6-0.html
URL: http://svn.apache.org/viewvc/spark/site/releases/spark-release-1-6-0.html?rev=1722917&r1=1722916&r2=1722917&view=diff
==============================================================================
--- spark/site/releases/spark-release-1-6-0.html (original)
+++ spark/site/releases/spark-release-1-6-0.html Mon Jan  4 16:42:42 2016
@@ -189,9 +189,9 @@
 <ul>
   <li><strong>API Updates</strong>
     <ul>
-      <li><a href="https://issues.apache.org/jira/browse/SPARK-9999">SPARK-9999&#160;</a> <strong>Dataset API</strong> - A new Spark API, similar to RDDs, that allows users to work with custom objects and lambda functions while still gaining the benefits of the Spark SQL execution engine. Examples: <a href="examples/datasets.wordcount.scala.html">WordCount</a>, <a href="examples/datasets.aggregator.scala.html">Typed Aggregators</a></li>
+      <li><a href="https://issues.apache.org/jira/browse/SPARK-9999">SPARK-9999&#160;</a> <strong>Dataset API</strong> - A new Spark API, similar to RDDs, that allows users to work with custom objects and lambda functions while still gaining the benefits of the Spark SQL execution engine.</li>
       <li><a href="https://issues.apache.org/jira/browse/SPARK-10810">SPARK-10810</a> <strong>Session Management</strong> - Different users can share a cluster while having different configuration and temporary tables.</li>
-      <li><a href="https://issues.apache.org/jira/browse/SPARK-11197">SPARK-11197</a> <strong>SQL Queries on Files</strong>  - Concise syntax for running SQL queries over files of any supported format without registering a table. <a href="examples/query.files.sql.html">Example Usage</a></li>
+      <li><a href="https://issues.apache.org/jira/browse/SPARK-11197">SPARK-11197</a> <strong>SQL Queries on Files</strong>  - Concise syntax for running SQL queries over files of any supported format without registering a table.</li>
       <li><a href="https://issues.apache.org/jira/browse/SPARK-11745">SPARK-11745</a> <strong>Reading non-standard JSON files</strong>  - Added options to read non-standard JSON files (e.g. single-quotes, unquoted attributes)</li>
       <li><a href="https://issues.apache.org/jira/browse/SPARK-10412">SPARK-10412</a> <strong>Per-operator Metrics for SQL Execution</strong> - Display statistics on a per-operator basis for memory usage and spilled data size.</li>
       <li><a href="https://issues.apache.org/jira/browse/SPARK-11329">SPARK-11329</a> <strong>Star (*) expansion for StructTypes</strong> - Makes it easier to nest and unnest arbitrary numbers of columns</li>



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