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		<title>What is Indexing and search full_text arabic field using apache solr ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/what-is-indexing-and-search-full_text-arabic-field-using-apache-solr/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 15:45:41 +0000</pubDate>
				<category><![CDATA[Apache Solr]]></category>
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					<description><![CDATA[Answer:Apache Solr has an Arabic analysis.]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="arabic-field-using-apache-solr" class="color-purple" style="text-align: justify;">Arabic field using apache solr:</h2>
</div>
</div>
<div class="row" style="text-align: justify;">
<div class="col-sm-12">
<div class="Content">
<div class="hddn">
<ul>
<li>Apache Solr has an Arabic analysis.</li>
<li>If you open the default schema.xml file which comes with Solr, you will see an example of Arabic fieldtype.</li>
<li>You can use CopyField to copy your fields to the Arabic field type.</li>
<li>You have to reindex your content again to get the preferred results.</li>
<li>If each document consists of 3 fields, two fields are integers then the third field is Arabic text with diacritics, the user may use words with or without diacritics or else some letters have diacritics and others without diacritics, you can use schema.xml which helps in such situation.</li>
</ul>
</div>
</div>
<div class="ImageContent">
<div class="hddn"></div>
<div>
<div class="code-embed-wrapper"> <div class="code-embed-infos"> </div> <pre class="language-markdown code-embed-pre line-numbers"  data-start="1" data-line-offset="0"><code class="language-markdown code-embed-code">&lt;?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot; ?&gt;<br/><br/>&lt;schema name=&quot;quran&quot; version=&quot;1.5&quot;&gt;<br/><br/>&lt;fields&gt;<br/>    &lt;field name=&quot;_version_&quot; type=&quot;long&quot; indexed=&quot;true&quot; stored=&quot;true&quot;/&gt;<br/>    &lt;field name=&quot;_id&quot; type=&quot;long&quot; indexed=&quot;true&quot; stored=&quot;true&quot; /&gt;<br/>    &lt;field name=&quot;sura_number&quot; type=&quot;int&quot; indexed=&quot;true&quot; stored=&quot;true&quot; /&gt;<br/>    &lt;field name=&quot;verse_number&quot; type=&quot;int&quot; indexed=&quot;true&quot; stored=&quot;true&quot; /&gt;<br/>    &lt;field name=&quot;verse_text&quot; type=&quot;text_ar&quot; indexed=&quot;true&quot; stored=&quot;true&quot;/&gt;<br/> &lt;/fields&gt;<br/><br/>&lt;types&gt;<br/>    &lt;fieldType name=&quot;string&quot; class=&quot;solr.StrField&quot; sortMissingLast=&quot;true&quot; /&gt;<br/>    &lt;fieldType name=&quot;boolean&quot; class=&quot;solr.BoolField&quot; sortMissingLast=&quot;true&quot;/&gt;<br/><br/>    &lt;fieldType name=&quot;int&quot; class=&quot;solr.TrieIntField&quot; precisionStep=&quot;0&quot; positionIncrementGap=&quot;0&quot;/&gt;<br/>    &lt;fieldType name=&quot;float&quot; class=&quot;solr.TrieFloatField&quot; precisionStep=&quot;0&quot; positionIncrementGap=&quot;0&quot;/&gt;<br/>    &lt;fieldType name=&quot;long&quot; class=&quot;solr.TrieLongField&quot; precisionStep=&quot;0&quot; positionIncrementGap=&quot;0&quot;/&gt;<br/>    &lt;fieldType name=&quot;double&quot; class=&quot;solr.TrieDoubleField&quot; precisionStep=&quot;0&quot; positionIncrementGap=&quot;0&quot;/&gt;<br/><br/>    &lt;fieldType name=&quot;date&quot; class=&quot;solr.TrieDateField&quot; precisionStep=&quot;0&quot; positionIncrementGap=&quot;0&quot;/&gt;<br/><br/>    &lt;fieldType name=&quot;location&quot; class=&quot;solr.LatLonType&quot; subFieldSuffix=&quot;_coordinate&quot;/&gt;<br/>    &lt;dynamicField name=&quot;*_coordinate&quot;  type=&quot;tdouble&quot; indexed=&quot;true&quot;  stored=&quot;false&quot;/&gt;<br/><br/>   &lt;!--  Arabic  --&gt;<br/>   &lt;fieldType name=&quot;text_ar&quot; class=&quot;solr.TextField&quot; positionIncrementGap=&quot;100&quot;&gt;<br/>   &lt;analyzer&gt;<br/>   &lt;tokenizer class=&quot;solr.StandardTokenizerFactory&quot;/&gt;<br/>   &lt;!--  normalizes ﻯ to ﻱ, etc  --&gt;<br/>   &lt;filter class=&quot;solr.ArabicNormalizationFilterFactory&quot;/&gt;<br/>   &lt;filter class=&quot;solr.ArabicStemFilterFactory&quot;/&gt;<br/>   &lt;/analyzer&gt;<br/>   &lt;/fieldType&gt;<br/><br/>&lt;/types&gt;<br/><br/>&lt;/schema&gt;</code></pre> </div>
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		<item>
		<title>What is the difference between Apache Solr and ElasticSearch ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/what-is-the-difference-between-apache-solr-and-elasticsearch/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 11:53:17 +0000</pubDate>
				<category><![CDATA[Apache Solr]]></category>
		<category><![CDATA[Accenture interview questions and answers]]></category>
		<category><![CDATA[apache solr documentation]]></category>
		<category><![CDATA[apache solr download]]></category>
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		<category><![CDATA[apache solr vs elasticsearch]]></category>
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					<description><![CDATA[Answer:The main difference between Solr and Elasticsearch is that Solr is a completely open-source search engine.]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="differences-between-apache-solr-and-elasticsearch" class="color-purple">Differences between Apache Solr and ElasticSearch:</h2>
</div>
</div>
<div class="row">
<div class="col-sm-12">
<table class="table-bordered table-striped table table-responsive">
<tbody>
<tr>
<th>Feature</th>
<th>Solr 6.2.1</th>
<th>ElasticSearch 5.0</th>
</tr>
</tbody>
<tbody>
<tr>
<td class="text-leftalign">Format</td>
<td class="text-leftalign">XML, CSV,<br />
JSON</td>
<td class="text-leftalign">JSON</td>
</tr>
<tr>
<td class="text-leftalign">HTTP REST API</td>
<td class="text-leftalign">✔</td>
<td class="text-leftalign">✔</td>
</tr>
<tr>
<td class="text-leftalign">Binary API</td>
<td class="text-leftalign">✔ SolrJ</td>
<td class="text-leftalign">✔ TransportClient, Thrift (through a plugin)</td>
</tr>
<tr>
<td class="text-leftalign">JMX support</td>
<td class="text-leftalign">✔</td>
<td class="text-leftalign"><b>☓</b> ES specific stats are<br />
exposed through the REST API</td>
</tr>
<tr>
<td class="text-leftalign">Official client libraries</td>
<td class="text-leftalign">Java</td>
<td class="text-leftalign">Java, Groovy, PHP, Ruby, Perl, Python, .NET,<br />
Javascript Official list of clients</td>
</tr>
<tr>
<td class="text-leftalign">Community client libraries</td>
<td class="text-leftalign">PHP, Ruby, Perl, Scala, Python, .NET,<br />
Javascript, Go, Erlang, Clojure</td>
<td class="text-leftalign">Clojure, Cold Fusion, Erlang, Go, Groovy, Haskell, Java,<br />
JavaScript, .NET, OCaml, Perl, PHP, Python, R,<br />
Ruby, Scala, Smalltalk, Vert.x Complete list</td>
</tr>
<tr>
<td class="text-leftalign">3rd-party product integration<br />
(open-source)</td>
<td class="text-leftalign">Drupal, Magento, Django, ColdFusion,<br />
Wordpress, OpenCMS, Plone, Typo3,<br />
ez Publish, Symfony2, Riak (via Yokozuna)</td>
<td class="text-leftalign">Drupal, Django, Symfony2,<br />
Wordpress, CouchBase</td>
</tr>
<tr>
<td class="text-leftalign">3rd-party product integration<br />
(commercial)</td>
<td class="text-leftalign">DataStax Enterprise Search,<br />
Cloudera Search, Hortonworks Data<br />
Platform, MapR</td>
<td class="text-leftalign">SearchBlox, Hortonworks Data Platform,<br />
MapR etc Complete list</td>
</tr>
<tr>
<td class="text-leftalign">Output</td>
<td class="text-leftalign">JSON, XML, PHP, Python, Ruby, CSV,<br />
Velocity, XSLT, native Java</td>
<td class="text-leftalign">JSON, XML/HTML (via plugin)</td>
</tr>
</tbody>
</table>
<div class="text-center row">
<div class="col-sm-12">
<div id="bsa-zone_1590522538159-8_123456"></div>
</div>
</div>
<div class="hddn"><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/query-top.png" alt="query top" width="877" height="653" /></div>
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</div>
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		<title>What is the difference between Apache Solr and MongoDB ?</title>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 11:39:50 +0000</pubDate>
				<category><![CDATA[Apache Solr]]></category>
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					<description><![CDATA[Answer:A widely used enterprise
search engine based on Apache Lucene.	One of the most popular document stores]]></description>
										<content:encoded><![CDATA[<h2 id="difference-between-apache-solr-and-mongodb" class="color-purple">Difference between Apache Solr and MongoDB:</h2>
<div class="Content">
<div class="hddn">
<ul>
<li>Here,Some of the examples of document oriented database is MongoDB, Cassandra, and CouchBD.</li>
</ul>
</div>
</div>
<table class="table-bordered table-striped table table-responsive">
<tbody>
<tr>
<th>Name</th>
<th>Apache Solr</th>
<th>MongoDB</th>
</tr>
<tr>
<td class="text-leftalign">Description</td>
<td class="text-leftalign">A widely used enterprise<br />
search engine based on Apache Lucene.</td>
<td class="text-leftalign">One of the most popular document stores</td>
</tr>
<tr>
<td class="text-leftalign">Developer</td>
<td class="text-leftalign">Apache Software Foundation</td>
<td class="text-leftalign">MongoDB, Inc.</td>
</tr>
<tr>
<td class="text-leftalign">Cloud-based</td>
<td class="text-leftalign">No</td>
<td class="text-leftalign">No</td>
</tr>
<tr>
<td class="text-leftalign">Server operating systems</td>
<td class="text-leftalign">All OS with a Java VM<br />
and a servlet container</td>
<td class="text-leftalign">Linux OS X Solaris Windows</td>
</tr>
<tr>
<td class="text-leftalign">Data scheme</td>
<td class="text-leftalign">Yes</td>
<td class="text-leftalign">schema-free</td>
</tr>
<tr>
<td class="text-leftalign">Implementation language</td>
<td class="text-leftalign">Java</td>
<td class="text-leftalign">C++</td>
</tr>
<tr>
<td class="text-leftalign">Secondary indexes</td>
<td class="text-leftalign">Yes</td>
<td class="text-leftalign">Yes</td>
</tr>
<tr>
<td class="text-leftalign">SQL</td>
<td class="text-leftalign">No</td>
<td class="text-leftalign">No</td>
</tr>
</tbody>
</table>
<div class="text-center row">
<div class="col-sm-12">
<div id="bsa-zone_1590522538159-8_123456"></div>
</div>
</div>
<div class="hddn"></div>
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		<title>What is the most ideal approach to use Apache Solr for relational JOIN ?</title>
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		<pubDate>Mon, 12 Jul 2021 09:28:47 +0000</pubDate>
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					<description><![CDATA[Answer:Run a single-use script that do the joins on the SOLR index (file) to replace the author_id and author_name]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="apache-solr-for-relational-join" class="color-purple" style="text-align: justify;">Apache Solr for relational JOIN:</h2>
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<div class="col-sm-12">
<div class="Content" style="text-align: justify;">
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<ul>
<li>Run a single-use script that do the joins on the SOLR index (file) to replace the author_id and author_name, or include the field if you need both. Updating 10,000,000+ documents will get a while, however it is definitely achievable.</li>
<li>After that you can have new documents indexed with both fields, doing the JOIN one at a time.</li>
<li>In common, SOLR works with entirely denormalized information.</li>
<li>If it is more than just authors&#8217; names, you could still denormalize the information, repeating your documents for every one of the related author documents.</li>
<li>Another technique is SOLR 4 has &#8220;JOIN&#8221; ability.</li>
<li>You&#8217;d first need to at least contain a pipeline wherever author information is indexed into SOLR in real-time.</li>
<li>Utilize Elastic Search to simply deal with the complex SOLR queries involving JOIN-like operations.</li>
</ul>
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</div>
<div class="Content">
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		<title>What are the features of Apache Solr ?</title>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 09:01:12 +0000</pubDate>
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					<description><![CDATA[Answer:Apache Solr contains powerful capabilities such as phrases]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="features-of-apache-solr" class="color-green" style="text-align: justify;">Features of Apache Solr</h2>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="advanced-full-text-search-capabilities" class="color-purple">Advanced Full-Text Search Capabilities:</h2>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Apache Solr contains powerful capabilities such as phrases, wildcards, grouping, joins and much more across several data type.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="optimized-for-high-volume-traffic" class="color-purple">Optimized for High Volume Traffic:</h2>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>It is proven at very large scales throughout the world.</li>
</ul>
</div>
</div>
<div class="text-center row" style="text-align: justify;"></div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="standards-based-open-interfaces-xml-json-and-http" class="color-purple">Standards Based Open Interfaces &#8211; XML, JSON and HTTP:</h2>
</div>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Solr uses the tools that use to make application building a snap.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="comprehensive-administration-interfaces" class="color-purple">Comprehensive Administration Interfaces:</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>It ships with a built-in, responsive administrative UI to build it simple and to manage the Solr instances.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="ease-monitoring" class="color-purple">Ease Monitoring:</h2>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>It publishes many of metric information via JMX.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="highly-scalable-and-fault-tolerant" class="color-purple">Highly Scalable and Fault Tolerant:</h2>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Built on the battle-tested Apache Zookeeper, It makes ease to scale up and down.</li>
<li>It bakes in distribution, replication, and rebalancing as well as fault tolerance out of the box.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="flexible-and-adaptable-with-easy-configuration" class="color-purple">Flexible and Adaptable with easy configuration:</h2>
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<div class="Content" style="text-align: justify;">
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<ul>
<li>Solr’s is planned to adapt your needs as simplifying configuration.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="near-real-time-indexing" class="color-purple">Near Real-Time Indexing:</h2>
</div>
</div>
<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;">Apache Solr takes a benefit of Lucene&#8217;s Near Real-Time Indexing capabilities to ensure you to see your content when you would like to notice it</li>
</ul>
</div>
</div>
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