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@@ -191,13 +191,13 @@
<p>You can consult JIRA for the <a href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12333083&amp;projectId=12315420">detailed changes</a>. We have curated a list of high level changes here:</p>
<ul id="markdown-toc">
- <li><a href="#spark-coresql">Spark Core/SQL</a></li>
- <li><a href="#spark-streaming">Spark Streaming</a></li>
- <li><a href="#mllib">MLlib</a></li>
- <li><a href="#deprecations">Deprecations</a></li>
- <li><a href="#changes-of-behavior">Changes of behavior</a></li>
- <li><a href="#known-issues">Known issues</a></li>
- <li><a href="#credits">Credits</a></li>
+ <li><a href="#spark-coresql" id="markdown-toc-spark-coresql">Spark Core/SQL</a></li>
+ <li><a href="#spark-streaming" id="markdown-toc-spark-streaming">Spark Streaming</a></li>
+ <li><a href="#mllib" id="markdown-toc-mllib">MLlib</a></li>
+ <li><a href="#deprecations" id="markdown-toc-deprecations">Deprecations</a></li>
+ <li><a href="#changes-of-behavior" id="markdown-toc-changes-of-behavior">Changes of behavior</a></li>
+ <li><a href="#known-issues" id="markdown-toc-known-issues">Known issues</a></li>
+ <li><a href="#credits" id="markdown-toc-credits">Credits</a></li>
</ul>
<h3 id="spark-coresql">Spark Core/SQL</h3>
@@ -220,7 +220,7 @@
<ul>
<li><a href="https://issues.apache.org/jira/browse/SPARK-10000">SPARK-10000</a> <strong>Unified Memory Management</strong> - Shared memory for execution and caching instead of exclusive division of the regions.</li>
<li><a href="https://issues.apache.org/jira/browse/SPARK-11787">SPARK-11787</a> <strong>Parquet Performance</strong> - Improve Parquet scan performance when using flat schemas.</li>
- <li><a href="https://issues.apache.org/jira/browse/SPARK-9241">SPARK-9241&#160;</a> <strong>Improved query planner for queries having distinct aggregations</strong> - Query plans of distinct aggregations are more robust when distinct columns have high cardinality. </li>
+ <li><a href="https://issues.apache.org/jira/browse/SPARK-9241">SPARK-9241&#160;</a> <strong>Improved query planner for queries having distinct aggregations</strong> - Query plans of distinct aggregations are more robust when distinct columns have high cardinality.</li>
<li><a href="https://issues.apache.org/jira/browse/SPARK-9858">SPARK-9858&#160;</a> <strong>Adaptive query execution</strong> - Initial support for automatically selecting the number of reducers for joins and aggregations.</li>
<li><a href="https://issues.apache.org/jira/browse/SPARK-10978">SPARK-10978</a> <strong>Avoiding double filters in Data Source API</strong> - When implementing a data source with filter pushdown, developers can now tell Spark SQL to avoid double evaluating a pushed-down filter.</li>
<li><a href="https://issues.apache.org/jira/browse/SPARK-11111">SPARK-11111</a> <strong>Fast null-safe joins</strong> - Joins using null-safe equality (<code>&lt;=&gt;</code>) will now execute using SortMergeJoin instead of computing a cartisian product.</li>
@@ -233,7 +233,7 @@
<h3 id="spark-streaming">Spark Streaming</h3>
<ul>
- <li><strong>API Updates</strong>
+ <li><strong>API Updates</strong>
<ul>
<li><a href="https://issues.apache.org/jira/browse/SPARK-2629">SPARK-2629&#160;</a> <strong>New improved state management</strong> - <code>mapWithState</code> - a DStream transformation for stateful stream processing, supercedes <code>updateStateByKey</code> in functionality and performance.</li>
<li><a href="https://issues.apache.org/jira/browse/SPARK-11198">SPARK-11198</a> <strong>Kinesis record deaggregation</strong> - Kinesis streams have been upgraded to use KCL 1.4.0 and supports transparent deaggregation of KPL-aggregated records.</li>
@@ -244,7 +244,7 @@
<li><strong>UI Improvements</strong>
<ul>
<li>Made failures visible in the streaming tab, in the timelines, batch list, and batch details page.</li>
- <li>Made output operations visible in the streaming tab as progress bars. </li>
+ <li>Made output operations visible in the streaming tab as progress bars.</li>
</ul>
</li>
</ul>