Author: buildbot
Date: Thu Dec 17 15:19:32 2015
New Revision: 975802
Log:
Production update by buildbot for camel
Modified:
websites/production/camel/content/apache-spark.html
websites/production/camel/content/cache/main.pageCache
Modified: websites/production/camel/content/apache-spark.html
==============================================================================
--- websites/production/camel/content/apache-spark.html (original)
+++ websites/production/camel/content/apache-spark.html Thu Dec 17 15:19:32 2015
@@ -84,13 +84,13 @@
<tbody>
<tr>
<td valign="top" width="100%">
-<div class="wiki-content maincontent"><h2
id="ApacheSpark-ApacheSparkcomponent">Apache Spark component</h2><div
class="confluence-information-macro
confluence-information-macro-information"><span class="aui-icon aui-icon-small
aui-iconfont-info confluence-information-macro-icon"></span><div
class="confluence-information-macro-body"><p> Apache Spark component is
available starting from Camel
<strong>2.17</strong>.</p></div></div><p> </p><p><span style="line-height:
1.5625;font-size: 16.0px;">This documentation page covers the <a shape="rect"
class="external-link" href="http://spark.apache.org/";>Apache Spark</a>
component for the Apache Camel. The main purpose of the Spark integration with
Camel is to provide a bridge between Camel connectors and Spark tasks. In
particular Camel connector provides a way to route message from various
transports, dynamically choose a task to execute, use incoming message as input
data for that task and finally deliver the results of the execut
ion back to the Camel pipeline.</span></p><h3
id="ApacheSpark-Supportedarchitecturalstyles"><span>Supported architectural
styles</span></h3><p><span style="line-height: 1.5625;font-size: 16.0px;">Spark
component can be used as a driver application deployed into an application
server (or executed as a fat jar).</span></p><p><span style="line-height:
1.5625;font-size: 16.0px;"><span class="confluence-embedded-file-wrapper
confluence-embedded-manual-size"><img class="confluence-embedded-image"
height="250" src="apache-spark.data/camel_spark_driver.png"
data-image-src="/confluence/download/attachments/61331559/camel_spark_driver.png?version=2&modificationDate=1449478362000&api=v2"
data-unresolved-comment-count="0" data-linked-resource-id="61331563"
data-linked-resource-version="2" data-linked-resource-type="attachment"
data-linked-resource-default-alias="camel_spark_driver.png"
data-base-url="https://cwiki.apache.org/confluence";
data-linked-resource-content-type="image/png" data
-linked-resource-container-id="61331559"
data-linked-resource-container-version="15"></span><br
clear="none"></span></p><p><span style="line-height: 1.5625;font-size:
16.0px;">Spark component can also be submitted as a job directly into the Spark
cluster.</span></p><p><span style="line-height: 1.5625;font-size:
16.0px;"><span class="confluence-embedded-file-wrapper
confluence-embedded-manual-size"><img class="confluence-embedded-image"
height="250" src="apache-spark.data/camel_spark_cluster.png"
data-image-src="/confluence/download/attachments/61331559/camel_spark_cluster.png?version=1&modificationDate=1449478393000&api=v2"
data-unresolved-comment-count="0" data-linked-resource-id="61331565"
data-linked-resource-version="1" data-linked-resource-type="attachment"
data-linked-resource-default-alias="camel_spark_cluster.png"
data-base-url="https://cwiki.apache.org/confluence";
data-linked-resource-content-type="image/png"
data-linked-resource-container-id="61331559" data-linked-
resource-container-version="15"></span><br clear="none"></span></p><p><span
style="line-height: 1.5625;font-size: 16.0px;">While Spark component is primary
designed to work as a <em>long running job</em> serving as an bridge
between Spark cluster and the other endpoints, you can also use it as a
<em>fire-once</em> short job.  </span> </p><h3
id="ApacheSpark-RunningSparkinOSGiservers"><span>Running Spark in OSGi
servers</span></h3><p>Currently the Spark component doesn't support execution
in the OSGi container. Spark has been designed to be executed as a fat jar,
usually submitted as a job to a cluster. For those reasons running Spark in an
OSGi server is at least challenging and is not support by Camel as well.</p><h3
id="ApacheSpark-URIformat">URI format</h3><p>Currently the Spark component
supports only producers - it it intended to invoke a Spark job and return
results. You can call RDD, data frame or Hive SQL
job.</p><div><p> </p><div class="code panel pdl" s
tyle="border-width: 1px;"><div class="codeHeader panelHeader pdl"
style="border-bottom-width: 1px;"><b>Spark URI format</b></div><div
class="codeContent panelContent pdl">
+<div class="wiki-content maincontent"><h2
id="ApacheSpark-ApacheSparkcomponent">Apache Spark component</h2><div
class="confluence-information-macro
confluence-information-macro-information"><span class="aui-icon aui-icon-small
aui-iconfont-info confluence-information-macro-icon"></span><div
class="confluence-information-macro-body"><p> Apache Spark component is
available starting from Camel
<strong>2.17</strong>.</p></div></div><p> </p><p><span style="line-height:
1.5625;font-size: 16.0px;">This documentation page covers the <a shape="rect"
class="external-link" href="http://spark.apache.org/";>Apache Spark</a>
component for the Apache Camel. The main purpose of the Spark integration with
Camel is to provide a bridge between Camel connectors and Spark tasks. In
particular Camel connector provides a way to route message from various
transports, dynamically choose a task to execute, use incoming message as input
data for that task and finally deliver the results of the execut
ion back to the Camel pipeline.</span></p><h3
id="ApacheSpark-Supportedarchitecturalstyles"><span>Supported architectural
styles</span></h3><p><span style="line-height: 1.5625;font-size: 16.0px;">Spark
component can be used as a driver application deployed into an application
server (or executed as a fat jar).</span></p><p><span style="line-height:
1.5625;font-size: 16.0px;"><span class="confluence-embedded-file-wrapper
confluence-embedded-manual-size"><img class="confluence-embedded-image"
height="250" src="apache-spark.data/camel_spark_driver.png"
data-image-src="/confluence/download/attachments/61331559/camel_spark_driver.png?version=2&modificationDate=1449478362000&api=v2"
data-unresolved-comment-count="0" data-linked-resource-id="61331563"
data-linked-resource-version="2" data-linked-resource-type="attachment"
data-linked-resource-default-alias="camel_spark_driver.png"
data-base-url="https://cwiki.apache.org/confluence";
data-linked-resource-content-type="image/png" data
-linked-resource-container-id="61331559"
data-linked-resource-container-version="16"></span><br
clear="none"></span></p><p><span style="line-height: 1.5625;font-size:
16.0px;">Spark component can also be submitted as a job directly into the Spark
cluster.</span></p><p><span style="line-height: 1.5625;font-size:
16.0px;"><span class="confluence-embedded-file-wrapper
confluence-embedded-manual-size"><img class="confluence-embedded-image"
height="250" src="apache-spark.data/camel_spark_cluster.png"
data-image-src="/confluence/download/attachments/61331559/camel_spark_cluster.png?version=1&modificationDate=1449478393000&api=v2"
data-unresolved-comment-count="0" data-linked-resource-id="61331565"
data-linked-resource-version="1" data-linked-resource-type="attachment"
data-linked-resource-default-alias="camel_spark_cluster.png"
data-base-url="https://cwiki.apache.org/confluence";
data-linked-resource-content-type="image/png"
data-linked-resource-container-id="61331559" data-linked-
resource-container-version="16"></span><br clear="none"></span></p><p><span
style="line-height: 1.5625;font-size: 16.0px;">While Spark component is primary
designed to work as a <em>long running job</em> serving as an bridge
between Spark cluster and the other endpoints, you can also use it as a
<em>fire-once</em> short job.  </span> </p><h3
id="ApacheSpark-RunningSparkinOSGiservers"><span>Running Spark in OSGi
servers</span></h3><p>Currently the Spark component doesn't support execution
in the OSGi container. Spark has been designed to be executed as a fat jar,
usually submitted as a job to a cluster. For those reasons running Spark in an
OSGi server is at least challenging and is not support by Camel as well.</p><h3
id="ApacheSpark-URIformat">URI format</h3><p>Currently the Spark component
supports only producers - it it intended to invoke a Spark job and return
results. You can call RDD, data frame or Hive SQL
job.</p><div><p> </p><div class="code panel pdl" s
tyle="border-width: 1px;"><div class="codeHeader panelHeader pdl"
style="border-bottom-width: 1px;"><b>Spark URI format</b></div><div
class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[spark:{rdd|dataframe|hive}]]></script>
</div></div><p> </p></div><h3 id="ApacheSpark-RDDjobs">RDD
jobs </h3><p> </p><div>To invoke an RDD job, use the following
URI:</div><div class="code panel pdl" style="border-width: 1px;"><div
class="codeHeader panelHeader pdl" style="border-bottom-width: 1px;"><b>Spark
RDD producer</b></div><div class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[spark:rdd?rdd=#testFileRdd&rddCallback=#transformation]]></script>
-</div></div><p> Where <code>rdd</code> option refers to the name of an
RDD instance (subclass of
<code>org.apache.spark.api.java.AbstractJavaRDDLike</code>) from a Camel
registry, while <code>rddCallback</code> refers to the implementation
of <code>org.apache.camel.component.spark.RddCallback</code> interface
(also from a registry). RDD callback provides a single method used to apply
incoming messages against the given RDD. Results of callback computations are
saved as a body to an exchange.</p><div class="code panel pdl"
style="border-width: 1px;"><div class="codeHeader panelHeader pdl"
style="border-bottom-width: 1px;"><b>Spark RDD callback</b></div><div
class="codeContent panelContent pdl">
+</div></div><p> Where <code>rdd</code> option refers to the name of an
RDD instance (subclass of <code>org.apache.spark.api.java.JavaRDDLike</code>)
from a Camel registry, while <code>rddCallback</code> refers to the
implementation
of <code>org.apache.camel.component.spark.RddCallback</code> interface
(also from a registry). RDD callback provides a single method used to apply
incoming messages against the given RDD. Results of callback computations are
saved as a body to an exchange.</p><div class="code panel pdl"
style="border-width: 1px;"><div class="codeHeader panelHeader pdl"
style="border-bottom-width: 1px;"><b>Spark RDD callback</b></div><div
class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[public interface RddCallback<T> {
- T onRdd(AbstractJavaRDDLike rdd, Object... payloads);
+ T onRdd(JavaRDDLike rdd, Object... payloads);
}]]></script>
</div></div><p>The following snippet demonstrates how to send message as an
input to the job and return results:</p><div class="code panel pdl"
style="border-width: 1px;"><div class="codeHeader panelHeader pdl"
style="border-bottom-width: 1px;"><b>Calling spark job</b></div><div
class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[String pattern = "job input";
@@ -99,7 +99,7 @@ long linesCount = producerTemplate.reque
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[@Bean
RddCallback<Long> countLinesContaining() {
return new RddCallback<Long>() {
- Long onRdd(AbstractJavaRDDLike rdd, Object... payloads) {
+ Long onRdd(JavaRDDLike rdd, Object... payloads) {
String pattern = (String) payloads[0];
return rdd.filter({line -> line.contains(pattern)}).count();
}
@@ -107,15 +107,15 @@ RddCallback<Long> countLinesContai
}]]></script>
</div></div><p>The RDD definition in Spring could looks as follows:</p><div
class="code panel pdl" style="border-width: 1px;"><div class="codeHeader
panelHeader pdl" style="border-bottom-width: 1px;"><b>Spark RDD
definition</b></div><div class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[@Bean
-AbstractJavaRDDLike myRdd(JavaSparkContext sparkContext) {
+JavaRDDLike myRdd(JavaSparkContext sparkContext) {
return sparkContext.textFile("testrdd.txt");
}]]></script>
-</div></div><p> </p><h4 id="ApacheSpark-RDDjobsoptions">RDD jobs
options</h4><div class="table-wrap"><table
class="confluenceTable"><tbody><tr><th colspan="1" rowspan="1"
class="confluenceTh">Option</th><th colspan="1" rowspan="1"
class="confluenceTh">Description</th><th colspan="1" rowspan="1"
class="confluenceTh">Default value</th></tr><tr><td colspan="1" rowspan="1"
class="confluenceTd"><code>rdd</code></td><td colspan="1" rowspan="1"
class="confluenceTd">RDD instance (subclass
of <code>org.apache.spark.api.java.AbstractJavaRDDLike</code>).</td><td
colspan="1" rowspan="1" class="confluenceTd"><code>null</code></td></tr><tr><td
colspan="1" rowspan="1" class="confluenceTd"><code>rddCallback</code></td><td
colspan="1" rowspan="1" class="confluenceTd">Instance
of <code>org.apache.camel.component.spark.RddCallback</code> interface.</td><td
colspan="1" rowspan="1" class="confluenceTd"><code><span style="color:
rgb(0,51,102);">null</span></code></td></tr></tbody></ta
ble></div><h4 id="ApacheSpark-VoidRDDcallbacks">Void RDD callbacks</h4><p>If
your RDD callback doesn't return any value back to a Camel pipeline, you can
either return <code>null</code> value or use <code>VoidRddCallback</code>
base class:</p><div class="code panel pdl" style="border-width: 1px;"><div
class="codeHeader panelHeader pdl" style="border-bottom-width: 1px;"><b>Spark
RDD definition</b></div><div class="codeContent panelContent pdl">
+</div></div><p> </p><h4 id="ApacheSpark-RDDjobsoptions">RDD jobs
options</h4><div class="table-wrap"><table
class="confluenceTable"><tbody><tr><th colspan="1" rowspan="1"
class="confluenceTh">Option</th><th colspan="1" rowspan="1"
class="confluenceTh">Description</th><th colspan="1" rowspan="1"
class="confluenceTh">Default value</th></tr><tr><td colspan="1" rowspan="1"
class="confluenceTd"><code>rdd</code></td><td colspan="1" rowspan="1"
class="confluenceTd">RDD instance (subclass
of <code>org.apache.spark.api.java.JavaRDDLike</code>).</td><td
colspan="1" rowspan="1" class="confluenceTd"><code>null</code></td></tr><tr><td
colspan="1" rowspan="1" class="confluenceTd"><code>rddCallback</code></td><td
colspan="1" rowspan="1" class="confluenceTd">Instance
of <code>org.apache.camel.component.spark.RddCallback</code> interface.</td><td
colspan="1" rowspan="1" class="confluenceTd"><code><span style="color:
rgb(0,51,102);">null</span></code></td></tr></tbody></table></di
v><h4 id="ApacheSpark-VoidRDDcallbacks">Void RDD callbacks</h4><p>If your RDD
callback doesn't return any value back to a Camel pipeline, you can either
return <code>null</code> value or use <code>VoidRddCallback</code> base
class:</p><div class="code panel pdl" style="border-width: 1px;"><div
class="codeHeader panelHeader pdl" style="border-bottom-width: 1px;"><b>Spark
RDD definition</b></div><div class="codeContent panelContent pdl">
<script class="brush: java; gutter: false; theme: Default"
type="syntaxhighlighter"><![CDATA[@Bean
RddCallback<Void> rddCallback() {
return new VoidRddCallback() {
@Override
- public void doOnRdd(AbstractJavaRDDLike rdd, Object... payloads) {
+ public void doOnRdd(JavaRDDLike rdd, Object... payloads) {
rdd.saveAsTextFile(output.getAbsolutePath());
}
};
@@ -125,7 +125,7 @@ RddCallback<Void> rddCallback() {
RddCallback<Long> rddCallback(CamelContext context) {
return new ConvertingRddCallback<Long>(context, int.class, int.class) {
@Override
- public Long doOnRdd(AbstractJavaRDDLike rdd, Object... payloads) {
+ public Long doOnRdd(JavaRDDLike rdd, Object... payloads) {
return rdd.count() * (int) payloads[0] * (int) payloads[1];
}
};
Modified: websites/production/camel/content/cache/main.pageCache
==============================================================================
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