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Posted to commits@calcite.apache.org by fr...@apache.org on 2019/01/09 22:21:12 UTC

svn commit: r1850910 [12/25] - in /calcite/site: ./ assets/ assets/css/ community/ css/ develop/ docs/ docs/api/ docs/testapi/ downloads/ fonts/ img/ js/ news/ news/2014/ news/2014/06/ news/2014/06/27/ news/2014/06/27/release-0.8.0-incubating/ news/201...

Added: calcite/site/docs/pig_adapter.html
URL: http://svn.apache.org/viewvc/calcite/site/docs/pig_adapter.html?rev=1850910&view=auto
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--- calcite/site/docs/pig_adapter.html (added)
+++ calcite/site/docs/pig_adapter.html Wed Jan  9 22:21:11 2019
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+<!DOCTYPE HTML>
+<html lang="en-US">
+<head>
+  <meta charset="UTF-8">
+  <title>Pig adapter</title>
+  <meta name="viewport" content="width=device-width,initial-scale=1">
+  <meta name="generator" content="Jekyll v3.7.3">
+  <link rel="stylesheet" href="//fonts.googleapis.com/css?family=Lato:300,300italic,400,400italic,700,700italic,900">
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+  <link rel="icon" type="image/x-icon" href="/favicon.ico">
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+    <section class="docs">
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+      <div class="docs-nav-mobile unit whole show-on-mobiles">
+  <select onchange="if (this.value) window.location.href=this.value">
+    <option value="">Navigate the docs…</option>
+        <optgroup label="Overview">      
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+    <optgroup label="Meta">      
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+
+  </select>
+</div>
+
+
+      <div class="unit four-fifths">
+        <article>
+          <h1>Pig adapter</h1>
+          <!--
+
+-->
+
+<h1 id="overview">Overview</h1>
+
+<p>The Pig adapter allows you to write queries in SQL and execute them using
+<a href="https://pig.apache.org">Apache Pig</a>.</p>
+
+<h1 id="a-simple-example">A simple example</h1>
+
+<p>Let’s start with a simple example. First, we need a
+<a href="/docs/model.html">model definition</a>,
+as follows.</p>
+
+<figure class="highlight"><pre><code class="language-json" data-lang="json"><span class="p">{</span><span class="w">
+  </span><span class="s2">"version"</span><span class="p">:</span><span class="w"> </span><span class="s2">"1.0"</span><span class="p">,</span><span class="w">
+  </span><span class="s2">"defaultSchema"</span><span class="p">:</span><span class="w"> </span><span class="s2">"SALES"</span><span class="p">,</span><span class="w">
+  </span><span class="s2">"schemas"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="w"> </span><span class="p">{</span><span class="w">
+    </span><span class="s2">"name"</span><span class="p">:</span><span class="w"> </span><span class="s2">"PIG"</span><span class="p">,</span><span class="w">
+    </span><span class="s2">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"custom"</span><span class="p">,</span><span class="w">
+    </span><span class="s2">"factory"</span><span class="p">:</span><span class="w"> </span><span class="s2">"org.apache.calcite.adapter.pig.PigSchemaFactory"</span><span class="p">,</span><span class="w">
+    </span><span class="s2">"tables"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="w"> </span><span class="p">{</span><span class="w">
+      </span><span class="s2">"name"</span><span class="p">:</span><span class="w"> </span><span class="s2">"t"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"custom"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"factory"</span><span class="p">:</span><span class="w"> </span><span class="s2">"org.apache.calcite.adapter.pig.PigTableFactory"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"operand"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="w">
+        </span><span class="s2">"file"</span><span class="p">:</span><span class="w"> </span><span class="s2">"data.txt"</span><span class="p">,</span><span class="w">
+        </span><span class="s2">"columns"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"tc0"</span><span class="p">,</span><span class="w"> </span><span class="s2">"tc1"</span><span class="p">]</span><span class="w">
+      </span><span class="p">}</span><span class="w">
+    </span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="w">
+      </span><span class="s2">"name"</span><span class="p">:</span><span class="w"> </span><span class="s2">"s"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"custom"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"factory"</span><span class="p">:</span><span class="w"> </span><span class="s2">"org.apache.calcite.adapter.pig.PigTableFactory"</span><span class="p">,</span><span class="w">
+      </span><span class="s2">"operand"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="w">
+        </span><span class="s2">"file"</span><span class="p">:</span><span class="w"> </span><span class="s2">"data2.txt"</span><span class="p">,</span><span class="w">
+        </span><span class="s2">"columns"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"sc0"</span><span class="p">,</span><span class="w"> </span><span class="s2">"sc1"</span><span class="p">]</span><span class="w">
+      </span><span class="p">}</span><span class="w">
+    </span><span class="p">}</span><span class="w"> </span><span class="p">]</span><span class="w">
+  </span><span class="p">}</span><span class="w"> </span><span class="p">]</span><span class="w">
+</span><span class="p">}</span></code></pre></figure>
+
+<p>Now, if you write the SQL query</p>
+
+<figure class="highlight"><pre><code class="language-sql" data-lang="sql"><span class="k">select</span> <span class="o">*</span>
+<span class="k">from</span> <span class="nv">"t"</span>
+<span class="k">join</span> <span class="nv">"s"</span> <span class="k">on</span> <span class="nv">"tc1"</span> <span class="o">=</span> <span class="nv">"sc0"</span></code></pre></figure>
+
+<p>the Pig adapter will generate the Pig Latin script</p>
+
+<figure class="highlight"><pre><code class="language-sql" data-lang="sql"><span class="n">t</span> <span class="o">=</span> <span class="k">LOAD</span> <span class="s1">'data.txt'</span> <span class="k">USING</span> <span class="n">PigStorage</span><span class="p">()</span> <span class="k">AS</span> <span class="p">(</span><span class="n">tc0</span><span class="p">:</span><span class="n">chararray</span><span class="p">,</span> <span class="n">tc1</span><span class="p">:</span><span class="n">chararray</span><span class="p">);</span>
+<span class="n">s</span> <span class="o">=</span> <span class="k">LOAD</span> <span class="s1">'data2.txt'</span> <span class="k">USING</span> <span class="n">PigStorage</span><span class="p">()</span> <span class="k">AS</span> <span class="p">(</span><span class="n">sc0</span><span class="p">:</span><span class="n">chararray</span><span class="p">,</span> <span class="n">sc1</span><span class="p">:</span><span class="n">chararray</span><span class="p">);</span>
+<span class="n">t</span> <span class="o">=</span> <span class="k">JOIN</span> <span class="n">t</span> <span class="k">BY</span> <span class="n">tc1</span><span class="p">,</span> <span class="n">s</span> <span class="k">BY</span> <span class="n">sc0</span><span class="p">;</span></code></pre></figure>
+
+<p>which is then executed using Pig’s runtime, typically MapReduce on
+<a href="https://hadoop.apache.org/">Apache Hadoop</a>.</p>
+
+<h1 id="relationship-to-piglet">Relationship to Piglet</h1>
+
+<p>Calcite has another component called
+<a href="/apidocs/org/apache/calcite/piglet/package-summary.html">Piglet</a>.
+It allows you to write queries in a subset of Pig Latin,
+and execute them using any applicable Calcite adapter.
+So, Piglet is basically the opposite of the Pig adapter.</p>
+
+          
+
+
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+  
+  
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+  
+  
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+  
+  
+
+
+        </article>
+      </div>
+
+      <div class="unit one-fifth hide-on-mobiles">
+  <aside>
+    
+    <h4>Overview</h4>
+    
+
+<ul>
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/index.html">Background</a></li>
+
+
+  
+  
+  
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+
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+
+  <li class=""><a href="/docs/tutorial.html">Tutorial</a></li>
+
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/algebra.html">Algebra</a></li>
+
+
+</ul>
+
+    
+    <h4>Advanced</h4>
+    
+
+<ul>
+
+  
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+
+  
+
+  <li class=""><a href="/docs/adapter.html">Adapters</a></li>
+
+
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+
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+
+
+  
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+  
+
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+
+
+</ul>
+
+    
+    <h4>Avatica</h4>
+    
+
+<ul>
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/avatica_overview.html">Overview</a></li>
+
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/avatica_roadmap.html">Roadmap</a></li>
+
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/avatica_json_reference.html">JSON Reference</a></li>
+
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/avatica_protobuf_reference.html">Protobuf Reference</a></li>
+
+
+</ul>
+
+    
+    <h4>Reference</h4>
+    
+
+<ul>
+
+  
+  
+  
+  
+
+  
+
+  <li class=""><a href="/docs/reference.html">SQL language</a></li>
+
+
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+  
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Propchange: calcite/site/docs/pig_adapter.html
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Added: calcite/site/docs/powered_by.html
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--- calcite/site/docs/powered_by.html (added)
+++ calcite/site/docs/powered_by.html Wed Jan  9 22:21:11 2019
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+<!DOCTYPE HTML>
+<html lang="en-US">
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+
+<p><a href="https://apex.apache.org">Apache Apex</a>
+uses Calcite for parsing streaming SQL and query optimization.</p>
+
+<h3 id="apache-beam">Apache Beam</h3>
+
+<p><a href="https://beam.apache.org">Apache Beam</a>
+uses Calcite for parsing and optimizing SQL.</p>
+
+<h3 id="apache-drill">Apache Drill</h3>
+
+<p><a href="https://drill.apache.org">Apache Drill</a>
+uses Calcite for SQL parsing and query optimization.</p>
+
+<h3 id="apache-flink">Apache Flink</h3>
+
+<p><a href="https://flink.apache.org">Apache Flink</a>
+uses Calcite for parsing both regular and streaming SQL,
+and for query optimization.</p>
+
+<h3 id="apache-hive">Apache Hive</h3>
+
+<p><a href="https://hive.apache.org">Apache Hive</a>
+uses Calcite for cost-based query optimization.</p>
+
+<h3 id="apache-kylin">Apache Kylin</h3>
+
+<p><a href="https://kylin.apache.org">Apache Kylin</a>
+uses Calcite for SQL parsing and query optimization.</p>
+
+<h3 id="apache-phoenix">Apache Phoenix</h3>
+
+<p><a href="https://phoenix.apache.org">Apache Phoenix</a>
+uses Calcite for SQL parsing and query optimization (under development),
+and also uses Avatica for its remote JDBC driver.</p>
+
+<h3 id="apache-samza">Apache Samza</h3>
+
+<p><a href="https://github.com/milinda/samza-sql">SamzaSQL</a>,
+an extension to
+<a href="https://samza.apache.org">Apache Samza</a>,
+uses Calcite for parsing streaming SQL and query optimization.</p>
+
+<h3 id="apache-storm">Apache Storm</h3>
+
+<p><a href="https://storm.apache.org">Apache Storm</a>
+uses Calcite for parsing streaming SQL and query optimization.</p>
+
+<h3 id="athenax">AthenaX</h3>
+
+<p><a href="https://www.uber.com/">Uber</a>’s SQL-based streaming analytics platform
+<a href="https://github.com/uber/AthenaX/">AthenaX</a>
+uses Calcite for parsing SQL and query optimization.</p>
+
+<h3 id="cascading">Cascading</h3>
+
+<p><a href="https://github.com/Cascading/lingual">Lingual</a>
+component provides a SQL interface to
+<a href="https://www.cascading.org/">Cascading</a>.</p>
+
+<h3 id="dremio">Dremio</h3>
+
+<p><a href="https://www.dremio.com">Dremio</a>
+uses Calcite for SQL parsing and cost-based query optimization.</p>
+
+<h3 id="herddb">HerdDB</h3>
+
+<p><a href="https://herddb.org">HerdDB</a>
+is a distributed JVM-Embeddable Database built on top of
+<a href="https://bookkeeper.apache.org/">Apache BookKeeper</a>.
+It uses Calcite as its SQL Planner.</p>
+
+<h3 id="omnisci">OmniSci</h3>
+
+<p><a href="https://www.omnisci.com">OmniSci</a>
+is a GPU-powered database and visual analytics platform for
+interactive exploration of large datasets.</p>
+
+<h3 id="qubole-quark">Qubole Quark</h3>
+
+<p><a href="https://github.com/qubole/quark">Quark</a>
+is a data virtualization engine over analytic databases.
+It uses Calcite to transparently rewrite queries to use materialized views.</p>
+
+<h3 id="sql-gremlin">SQL-Gremlin</h3>
+
+<p><a href="https://github.com/twilmes/sql-gremlin">SQL-Gremlin</a>
+is a SQL interface to a
+<a href="https://tinkerpop.apache.org/">Apache TinkerPop</a>-enabled
+graph database.</p>
+
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