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		<title>How Solr represents data ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/how-solr-represents-data/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 13:57:33 +0000</pubDate>
				<category><![CDATA[Apache Solr]]></category>
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		<guid isPermaLink="false">https://www.wikitechy.com/interview-questions/?p=238</guid>

					<description><![CDATA[Answer:In Apache Solr, a Document is the part of search as well as index.]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="solr-represents-data" class="color-purple" style="text-align: justify;">Solr represents data</h2>
</div>
</div>
<div class="row">
<div class="col-sm-12">
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>In Apache Solr, a Document is the part of search as well as index.</li>
<li>Index consists of one or more Documents and then Document consists of one or more Fields.</li>
<li>In database terminology,a Document corresponds to a row of the table, and a Field corresponds to a column of the table.</li>
</ul>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/apache-solr-with-hadoop (1).gif" alt="apache solr with hadoop" width="622" height="335" /></div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="schema" class="color-purple">Schema</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Before adding documents to Solr, you need to specify the schema, represented in a file called <code>schema.xml</code>.</li>
<li>It is not suitable to modify the schema after documents has added to the index.</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="the-schema-declares" class="color-purple">The schema declares:</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ol>
<li>what kinds of fields there are</li>
<li>which field should be used as the unique/primary key</li>
<li>which fields are required</li>
<li>how to index and search each field</li>
</ol>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="field-types" class="color-purple">Field Types</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>In Solr, every field has a type.</li>
<li>Apache Solr expands the variety of field types offered in Lucene.</li>
</ul>
</div>
</div>
<p style="text-align: justify;"><b>Examples of basic field types available in Solr include:</b></p>
<div class="Content">
<div class="hddn">
<ol>
<li style="text-align: justify;">float</li>
<li style="text-align: justify;">long</li>
<li style="text-align: justify;">double</li>
<li style="text-align: justify;">date</li>
<li style="text-align: justify;">text</li>
</ol>
</div>
</div>
</div>
</div>
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		<item>
		<title>How does the apache Solr works ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/how-does-the-apache-solr-works/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 12:03:13 +0000</pubDate>
				<category><![CDATA[Apache Solr]]></category>
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					<description><![CDATA[Answer:Apache Solr is capable to get quick search responses because, as a replacement for searching the text directly]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="apache-solr-works" class="color-purple" style="text-align: justify;">Apache Solr works</h2>
</div>
</div>
<div class="row">
<div class="col-sm-12">
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="indexing" class="color-purple">Indexing</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Apache Solr is capable to get quick search responses because, as a replacement for searching the text directly, it searches an index instead.</li>
<li>It stores index in a directory called index in the data directory.</li>
</ul>
</div>
</div>
<div class="text-center row" style="text-align: justify;">
<div class="col-sm-12">
<div id="bsa-zone_1590522538159-8_123456"></div>
</div>
</div>
<div class="hddn"><img decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/how-apache-solr-works (1).gif" alt="how apache solr works" width="575" height="335" /></div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="working" class="color-purple">Working:</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>The Apache Solr creates inverted index of the documents that are posted in to its collection or core.</li>
<li>Core or collection is just part entity which can be used to post documents and running queries on that set of documents.</li>
<li>Inverted index is a main term in the domain of Information Retrieval and Natural Language Processing.</li>
<li>Now take a document, note down all the unique words appearing in that document as well as note the frequency of the words. Hence the inverted index is ready.</li>
<li>Solr creates similar inverted index of the documents posted to its core using a defined schema.</li>
<li>Schema is a blue print which helps Solr in creating inverted index of the documents by giving a set of predefined fields in the <code>schema.xml</code> file.</li>
<li>Once Solr completes indexing the documents posted to its core or collection it can be used to run queries.</li>
</ul>
</div>
</div>
<div class="hddn"><img decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/solr-work.png" alt="solr work" width="1614" height="1307" /></div>
<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;">Now a user can query Solr for related documents using its query parser or admin panel.</li>
<li style="text-align: justify;">When a query is given to Solr, it breaks the query into different chunks or entities and matches it with the inverted index of the documents created previous.</li>
<li style="text-align: justify;">The documents obtained accordingly of a Solr search is based on the same class and other constraints defined in its <code>schema.xml</code> and <code>solr.config</code> file.</li>
</ul>
</div>
</div>
</div>
</div>
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		<title>Where does the Apache Solr store the actual data ?</title>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/where-does-the-apache-solr-store-the-actual-data/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 11:58:00 +0000</pubDate>
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					<description><![CDATA[Answer:Apache Solr creates an index of its own and stores it in inverted index format.]]></description>
										<content:encoded><![CDATA[<h2 id="apache-solr-store-the-actual-data" class="color-purple" style="text-align: justify;">Apache Solr store the actual data</h2>
<div class="row">
<div class="col-sm-12">
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Apache Solr creates an index of its own and stores it in inverted index format.</li>
<li>While generating these indexes you can use different tokens and analyzers so that your search becomes easier.</li>
<li>The purpose of Apache Solr is to search and then the purpose of NoSQL is to use it as WORM (Write Once Read Many).</li>
<li>In the event you want to create search engine and store in NoSQL then you can create index in search and while indexing you can also write to NoSQL Systems.</li>
<li>Care needs to be taken to make certain consistency in Apache Solr as well as NoSQL systems.</li>
<li>There are new tools these days that can transfer from NoSQL to Solr.</li>
<li>The Apache Solr index is a particularly designed data structure, stored on the file system as a set of index files.</li>
<li>The index is designed with capable data structures to maximize performance and to minimize resource usage.</li>
</ul>
</div>
</div>
<div class="text-center row" style="text-align: justify;">
<div class="col-sm-12">
<div id="bsa-zone_1590522538159-8_123456"></div>
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<div class="hddn" style="text-align: justify;"><img loading="lazy" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/apache-solr-store-data.png" alt="Apache Solr Store Data" width="638" height="275" /></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>
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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>
		<link>https://www.wikitechy.com/interview-questions/apache-solr/what-is-the-most-ideal-approach-to-use-apache-solr-for-relational-join/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<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>
</div>
</div>
<div class="row">
<div class="col-sm-12">
<div class="Content" style="text-align: justify;">
<div class="hddn">
<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>
</div>
</div>
<div class="Content">
<div class="hddn"></div>
</div>
</div>
</div>
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