1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
|
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>
Spark Release 0.6.0 | Apache Spark
</title>
<!-- Bootstrap core CSS -->
<link href="/css/cerulean.min.css" rel="stylesheet">
<link href="/css/custom.css" rel="stylesheet">
<!-- Code highlighter CSS -->
<link href="/css/pygments-default.css" rel="stylesheet">
<script type="text/javascript">
<!-- Google Analytics initialization -->
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-32518208-2']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
<!-- Adds slight delay to links to allow async reporting -->
function trackOutboundLink(link, category, action) {
try {
_gaq.push(['_trackEvent', category , action]);
} catch(err){}
setTimeout(function() {
document.location.href = link.href;
}, 100);
}
</script>
<!-- HTML5 shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script>
<script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script>
<![endif]-->
</head>
<body>
<script src="https://code.jquery.com/jquery.js"></script>
<script src="//netdna.bootstrapcdn.com/bootstrap/3.0.3/js/bootstrap.min.js"></script>
<script src="/js/lang-tabs.js"></script>
<script src="/js/downloads.js"></script>
<div class="container" style="max-width: 1200px;">
<div class="masthead">
<p class="lead">
<a href="/">
<img src="/images/spark-logo-trademark.png"
style="height:100px; width:auto; vertical-align: bottom; margin-top: 20px;"></a><span class="tagline">
Lightning-fast cluster computing
</span>
</p>
</div>
<nav class="navbar navbar-default" role="navigation">
<!-- Brand and toggle get grouped for better mobile display -->
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse"
data-target="#navbar-collapse-1">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="navbar-collapse-1">
<ul class="nav navbar-nav">
<li><a href="/downloads.html">Download</a></li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown">
Libraries <b class="caret"></b>
</a>
<ul class="dropdown-menu">
<li><a href="/sql/">SQL and DataFrames</a></li>
<li><a href="/streaming/">Spark Streaming</a></li>
<li><a href="/mllib/">MLlib (machine learning)</a></li>
<li><a href="/graphx/">GraphX (graph)</a></li>
<li class="divider"></li>
<li><a href="http://spark-packages.org">Third-Party Packages</a></li>
</ul>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown">
Documentation <b class="caret"></b>
</a>
<ul class="dropdown-menu">
<li><a href="/docs/latest/">Latest Release (Spark 2.0.0)</a></li>
<li><a href="/documentation.html">Older Versions and Other Resources</a></li>
</ul>
</li>
<li><a href="/examples.html">Examples</a></li>
<li class="dropdown">
<a href="/community.html" class="dropdown-toggle" data-toggle="dropdown">
Community <b class="caret"></b>
</a>
<ul class="dropdown-menu">
<li><a href="/community.html">Mailing Lists</a></li>
<li><a href="/community.html#events">Events and Meetups</a></li>
<li><a href="/community.html#history">Project History</a></li>
<li><a href="https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark">Powered By</a></li>
<li><a href="https://cwiki.apache.org/confluence/display/SPARK/Committers">Project Committers</a></li>
<li><a href="https://issues.apache.org/jira/browse/SPARK">Issue Tracker</a></li>
</ul>
</li>
<li><a href="/faq.html">FAQ</a></li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li class="dropdown">
<a href="http://www.apache.org/" class="dropdown-toggle" data-toggle="dropdown">
Apache Software Foundation <b class="caret"></b></a>
<ul class="dropdown-menu">
<li><a href="http://www.apache.org/">Apache Homepage</a></li>
<li><a href="http://www.apache.org/licenses/">License</a></li>
<li><a href="http://www.apache.org/foundation/sponsorship.html">Sponsorship</a></li>
<li><a href="http://www.apache.org/foundation/thanks.html">Thanks</a></li>
<li><a href="http://www.apache.org/security/">Security</a></li>
</ul>
</li>
</ul>
</div>
<!-- /.navbar-collapse -->
</nav>
<div class="row">
<div class="col-md-3 col-md-push-9">
<div class="news" style="margin-bottom: 20px;">
<h5>Latest News</h5>
<ul class="list-unstyled">
<li><a href="/news/spark-2-0-0-released.html">Spark 2.0.0 released</a>
<span class="small">(Jul 26, 2016)</span></li>
<li><a href="/news/spark-1-6-2-released.html">Spark 1.6.2 released</a>
<span class="small">(Jun 25, 2016)</span></li>
<li><a href="/news/submit-talks-to-spark-summit-eu-2016.html">Call for Presentations for Spark Summit EU is Open</a>
<span class="small">(Jun 16, 2016)</span></li>
<li><a href="/news/spark-2.0.0-preview.html">Preview release of Spark 2.0</a>
<span class="small">(May 26, 2016)</span></li>
</ul>
<p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
</div>
<div class="hidden-xs hidden-sm">
<a href="/downloads.html" class="btn btn-success btn-lg btn-block" style="margin-bottom: 30px;">
Download Spark
</a>
<p style="font-size: 16px; font-weight: 500; color: #555;">
Built-in Libraries:
</p>
<ul class="list-none">
<li><a href="/sql/">SQL and DataFrames</a></li>
<li><a href="/streaming/">Spark Streaming</a></li>
<li><a href="/mllib/">MLlib (machine learning)</a></li>
<li><a href="/graphx/">GraphX (graph)</a></li>
</ul>
<a href="http://spark-packages.org">Third-Party Packages</a>
</div>
</div>
<div class="col-md-9 col-md-pull-3">
<h2>Spark Release 0.6.0</h2>
<p>Spark 0.6.0 is a major release that brings several new features, architectural changes, and performance enhancements. The most visible additions are a standalone deploy mode, a Java API, and expanded documentation; but there are also numerous other changes under the hood, which improve performance in some cases by as much as 2x.</p>
<p>You can download this release as either a <a href="http://github.com/downloads/mesos/spark/spark-0.6.0-sources.tar.gz">source package</a> (2 MB tar.gz) or <a href="http://github.com/downloads/mesos/spark/spark-0.6.0-prebuilt.tar.gz">prebuilt package</a> (48 MB tar.gz)</p>
<h3>Simpler Deployment</h3>
<p>In addition to running on Mesos, Spark now has a <a href="/docs/0.6.0/spark-standalone.html">standalone deploy mode</a> that lets you quickly launch a cluster without installing an external cluster manager. The standalone mode only needs Java installed on each machine, and Spark deployed to it.</p>
<p>In addition, there is <a href="/docs/0.6.0/running-on-yarn.html">experimental support for running on YARN</a> (Hadoop NextGen), currently in a separate branch.</p>
<h3>Java API</h3>
<p>Java programmers can now use Spark through a new <a href="/docs/0.6.0/java-programming-guide.html">Java API layer</a>. This layer makes available all of Spark’s features, including parallel transformations, distributed datasets, broadcast variables, and accumulators, in a Java-friendly manner.</p>
<h3>Expanded Documentation</h3>
<p>Spark’s <a href="/docs/0.6.0/">documentation</a> has been expanded with a new <a href="/docs/0.6.0/quick-start.html">quick start guide</a>, additional deployment instructions, configuration guide, tuning guide, and improved <a href="/docs/0.6.0/api/core">Scaladoc</a> API documentation.</p>
<h3>Engine Changes</h3>
<p>Under the hood, Spark 0.6 has new, custom storage and communication layers brought in from the upcoming <a href="http://www.cs.berkeley.edu/~matei/papers/2012/hotcloud_spark_streaming.pdf">Spark Streaming</a> project. These can improve performance over past versions by as much as 2x. Specifically:</p>
<ul>
<li>A new communication manager using asynchronous Java NIO lets shuffle operations run faster, especially when sending large amounts of data or when jobs have many tasks.</li>
<li>A new storage manager supports per-dataset storage level settings (e.g. whether to keep the dataset in memory, deserialized, on disk, etc, or even replicated across nodes).</li>
<li>Spark's scheduler and control plane have been optimized to better support ultra-low-latency jobs (under 500ms) and high-throughput scheduling decisions.</li>
</ul>
<h3>New APIs</h3>
<ul>
<li>This release adds the ability to control caching strategies on a per-RDD level, so that different RDDs may be stored in memory, on disk, as serialized bytes, etc. You can choose your storage level using the <a href="/docs/0.6.0/scala-programming-guide.html#rdd-persistence"><tt>persist()</tt> method</a> on RDD.</li>
<li>A new Accumulable class generalizes Accumulators for the case when the type being accumulated is not the same as the types of elements being added (e.g. you wish to accumulate a collection, such as a Set, by adding individual elements).</li>
<li>You can now dynamically add files or JARs that should be shipped to your workers with <tt>SparkContext.addFile/Jar</tt>.</li>
<li>More Spark operators (e.g. joins) support custom partitioners.</li>
</ul>
<h3>Enhanced Debugging</h3>
<p>Spark’s log now prints which operation in your program each RDD and job described in your logs belongs to, making it easier to tie back to which parts of your code experience problems.</p>
<h3>Maven Artifacts</h3>
<p>Spark is now available in Maven Central, making it easier to link into your programs without having to build it as a JAR. Use the following Maven identifiers to add it to a project:</p>
<ul>
<li>groupId: org.spark-project</li>
<li>artifactId: spark-core_2.9.2</li>
<li>version: 0.6.0</li>
</ul>
<h3>Compatibility</h3>
<p>This release is source-compatible with Spark 0.5 programs, but you will need to recompile them against 0.6. In addition, the configuration for caching has changed: instead of having a <tt>spark.cache.class</tt> parameter that sets one caching strategy for all RDDs, you can now set a <a href="/docs/0.6.0/scala-programming-guide.html#rdd-persistence">per-RDD storage level</a>. Spark will warn if you try to set <tt>spark.cache.class</tt>.</p>
<h3>Credits</h3>
<p>Spark 0.6 was the work of a large set of new contributors from Berkeley and outside.</p>
<ul>
<li>Tathagata Das contributed the new communication layer, and parts of the storage layer.</li>
<li>Haoyuan Li contributed the new storage manager.</li>
<li>Denny Britz contributed the YARN deploy mode, key aspects of the standalone one, and several other features.</li>
<li>Andy Konwinski contributed the revamped documentation site, Maven publishing, and several API docs.</li>
<li>Josh Rosen contributed the Java API, and several bug fixes.</li>
<li>Patrick Wendell contributed the enhanced debugging feature and helped with testing and documentation.</li>
<li>Reynold Xin contributed numerous bug and performance fixes.</li>
<li>Imran Rashid contributed the new Accumulable class.</li>
<li>Harvey Feng contributed improvements to shuffle operations.</li>
<li>Shivaram Venkataraman improved Spark's memory estimation and wrote a memory tuning guide.</li>
<li>Ravi Pandya contributed Spark run scripts for Windows.
</li><li>Mosharaf Chowdhury provided several fixes to broadcast.</li>
<li>Henry Milner pointed out several bugs in sampling algorithms.</li>
<li>Ray Racine provided improvements to the EC2 scripts.</li>
<li>Paul Ruan and Bill Zhao helped with testing.</li>
</ul>
<p style="padding-top:5px;">Thanks also to all the Spark users who have diligently suggested features or reported bugs.</p>
<p>
<br/>
<a href="/news/">Spark News Archive</a>
</p>
</div>
</div>
<footer class="small">
<hr>
Apache Spark, Spark, Apache, and the Spark logo are <a href="https://www.apache.org/foundation/marks/">trademarks</a> of
<a href="http://www.apache.org">The Apache Software Foundation</a>.
</footer>
</div>
</body>
</html>
|
