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	<title>data of partitioned columns in hive is physically present - Wikitechy</title>
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	<title>data of partitioned columns in hive is physically present - Wikitechy</title>
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		<title>What is the best way to take the back up of hive partitioned table into a disk ?</title>
		<link>https://www.wikitechy.com/interview-questions/hive/what-is-the-best-way-to-take-the-back-up-of-hive-partitioned-table-into-a-disk/</link>
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		<pubDate>Tue, 13 Jul 2021 21:51:10 +0000</pubDate>
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					<description><![CDATA[Answer : Partitioning is the optimization technique in Hive which improves the performance significantly.]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="best-way-to-take-the-back-up-of-hive-partitioned-table-into-a-disk" class="color-green" style="text-align: justify;">Best way to take the back up of hive partitioned table into a disk</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Partitioning is the optimization technique in Hive which improves the performance significantly.</li>
<li>Apache Hive is the data warehouse on the top of Hadoop, which enables ad-hoc analysis over structured and semi-structured data</li>
<li>Apache Hive organizes tables into partitions.Partitioning is dividing a table into connected components based on the values of specific columns like date, city, and department.</li>
<li>Each table in hive can have one or additional partition keys to identify a particular partition. using partition it is easy to do queries on slices of the data.</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>
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<div class="ImageContent" style="text-align: justify;">
<div><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/hive/hive-partitioned-table-into-a-disk.png" alt="hive-partitioned-table-into-a-disk" width="791" height="383" /></div>
<div class="hddn">The Hadoop Distributed File System considered reliable from a technical failure purpose of view, but to archive data you need to copy it offline, with copyToLocal, or copy the data to another cluster or another location on the cluster.</div>
</div>
<div class="subheading" style="text-align: justify;">
<h2 id="for-copytolocal-the-command-syntax-is">For copyToLocal the command syntax is:</h2>
</div>
<div class="CodeContent" style="text-align: justify;">
<div class="hddn">
<figure class="highlight">
<pre><code id="code1" class="apache hljs css" data-lang="apache"><span class="nt"><span class="hljs-tag">hadoop</span> <span class="hljs-tag">fs</span> <span class="hljs-tag">-copyToLocal</span> <span class="hljs-attr_selector">[-ignorecrc]</span> <span class="hljs-attr_selector">[-crc]</span> <span class="hljs-tag">URI</span> &lt;<span class="hljs-tag">localdst</span>&gt;</span></code></pre>
</figure>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<p>Additionally, you can use Hive to copy data from a table to local directory.</p>
</div>
</div>
<div class="CodeContent">
<div class="hddn">
<figure class="highlight" style="text-align: justify;">
<pre><code id="code2" class="apache hljs bash" data-lang="apache"><span class="nt">INSERT OVERWRITE LOCAL DIRECTORY <span class="hljs-string">'/tmp/local_out'</span> SELECT a.* FROM wikitechy  <span class="hljs-built_in">where</span> year=<span class="hljs-number">2018</span></span></code></pre>
</figure>
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		<title>What is hive ?</title>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Tue, 13 Jul 2021 21:09:15 +0000</pubDate>
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					<description><![CDATA[Answer : Hive is a component of Hortonworks Data Platform(HDP).]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="hive" class="color-purple" style="text-align: justify;">Hive</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Hive is a component of Hortonworks Data Platform(HDP).</li>
<li>Hive provides a SQL interface to data stored in HDP.</li>
<li>Hive has 3 main functions:</li>
</ul>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li style="list-style-type: none;">
<ul>
<li>Data Summarization</li>
<li>Query</li>
<li>Analysis.</li>
</ul>
</li>
</ul>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>It supports queries expressed language called HiveQL, which automatically translates SQL like queries into MapReduce jobs executed on Hadoop.</li>
<li>It also enables data serialization and increases flexibility in schema architecture including a system catalog called Hive Metastore.</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="architecture-of-hive" class="color-purple">Architecture of hive :</h2>
</div>
</div>
<div class="ImageContent" style="text-align: justify;">
<div class="hddn"><img decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/Hive/what-is-hive.png" alt="what is hive" width="520" height="373" /></div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="features-of-hive" class="color-purple">Features of hive:</h2>
</div>
</div>
<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Different storage such as plain text, RCFile, ORC, HBase, and others.</li>
<li>Pre-defined functions (UDFs) to manipulate dates, strings, and other data-mining tools.</li>
<li>Hive supports extending the UDF set to handle use-cases not supported by built-in functions.</li>
</ul>
</div>
</div>
<div class="TextHeading" style="text-align: justify;">
<div class="hddn">
<h2 id="limitations-of-hive" class="color-purple">Limitations of Hive:</h2>
</div>
</div>
<div class="Content">
<div class="hddn">
<ul>
<li style="text-align: justify;">Hive supports overwriting or hold data, but not updates and deletes.</li>
<li style="text-align: justify;">In Hive, sub queries are not supported</li>
</ul>
</div>
</div>
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