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From bridg...@apache.org
Subject [32/51] [partial] drill-site git commit: Cleaning up deleted content.
Date Sat, 25 Feb 2017 00:15:41 GMT
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-              
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-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/date-time-functions-and-arithmetic/">Date/Time Functions and Arithmetic</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/string-manipulation/">String Manipulation</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/aggregate-and-aggregate-statistical/">Aggregate and Aggregate Statistical</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/functions-for-handling-nulls/">Functions for Handling Nulls</a></li>
-              
-            </ul>
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-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/kvgen/">KVGEN</a></li>
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-                <li class="toctree-l3"><a class="reference internal" href="/docs/repeated-count/">REPEATED_COUNT</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/repeated-contains/">REPEATED_CONTAINS</a></li>
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-            </ul>
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-              
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-              
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-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/describe-command/">DESCRIBE Command</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/explain-commands/">EXPLAIN Commands</a></li>
-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/select-statements/">SELECT Statements</a></li>
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-            </ul>
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-            
-              <li class="toctree-l2"><a class="reference internal" href="/docs/data-sources-and-file-formats-introduction/">Data Sources and File Formats Introduction</a></li>
-            
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-              <li class="toctree-l2"><a class="reference internal" href="/docs/hive-to-drill-data-type-mapping/">Hive-to-Drill Data Type Mapping</a></li>
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-                <li class="toctree-l3"><a class="reference internal" href="/docs/drill-patch-review-tool/">Drill Patch Review Tool</a></li>
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-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/apache-drill-contribution-guidelines/">Apache Drill Contribution Guidelines</a></li>
-              
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-              
-                <li class="toctree-l3"><a class="reference internal" href="/docs/drill-plan-syntax/">Drill Plan Syntax</a></li>
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-    <li><a href="/docs/architecture/">Architecture</a></li>
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-          <p>The Drill architecture brings the SQL Ecosystem and <em>Performance</em> of
-the relational systems to Hadoop scale data <em>without</em> compromising 
-the <em>flexibility</em> of Hadoop/NoSQL systems. There are several core
-architectural elements in Apache Drill that make it a highly flexible and
-efficient query engine.</p>
-
-<p>The following features contribute to Drill&#39;s flexible architecture:</p>
-
-<p><strong><em>Dynamic schema discovery</em></strong></p>
-
-<p>Drill does not require schema or type specification for the data in order to
-start the query execution process. Instead, Drill starts processing the data
-in units called record-batches and discovers the schema on the fly during
-processing. Self-describing data formats such as Parquet, JSON, AVRO, and
-NoSQL databases have schema specified as part of the data itself, which Drill
-leverages dynamically at query time. Schema can change over the course of a
-Drill query, so all of the Drill operators are designed to reconfigure
-themselves when such schema changing events occur.</p>
-
-<p><strong><em>Flexible data model</em></strong></p>
-
-<p>Drill is purpose-built from the ground up for complex/multi-structured data
-commonly seen in Hadoop/NoSQL applications such as social/mobile, clickstream,
-logs, and sensor equipped IOT. From a user point of view, Drill allows access
-to nested data attributes, just like SQL columns, and provides intuitive
-extensions to easily operate on them. From an architectural point of view,
-Drill provides a flexible hierarchical columnar data model that can represent
-complex, highly dynamic and evolving data models, and allows for efficient
-processing of it without the need to flatten or materialize it at design time
-or at execution time. Relational data in Drill is treated as a special or
-simplified case of complex/multi-structured data.</p>
-
-<p><strong><em>De-centralized metadata</em></strong></p>
-
-<p>Unlike other SQL-on-Hadoop technologies or any traditional relational
-database, Drill does not have a centralized metadata requirement. In order to
-query data through Drill, users do not need to create and manage tables and
-views in a metadata repository, or rely on a database administrator group for
-such a function.</p>
-
-<p>Drill metadata is derived from the storage plugins that correspond to data
-sources. Drill supports a varied set of storage plugins that provide a
-spectrum of metadata ranging from full metadata such as for Hive, partial
-metadata such as for HBase, or no central metadata such as for files.</p>
-
-<p>De-centralized metadata also means that Drill is NOT tied to a single Hive
-repository. Users can query multiple Hive repositories at once and then
-combine the data with information from HBase tables or with a file in a
-distributed file system.</p>
-
-<p>Users also have the ability to create metadata (tables/views/databases) within
-Drill using the SQL DDL syntax. De-centralized metadata is applicable during
-metadata creation. Drill allows persisting metadata in one of the underlying
-data sources.</p>
-
-<p>From a client access perspective, Drill metadata is organized just like a
-traditional DB (Databases-&gt;Tables/Views-&gt;Columns). The metadata is accessible
-through the ANSI standard INFORMATION_SCHEMA database</p>
-
-<p>For more information on how to configure and work various data sources with
-Drill, refer to <a href="/docs/connect-a-data-source-introduction">Connect Apache Drill to Data Sources</a>.</p>
-
-<p><strong><em>Extensibility</em></strong></p>
-
-<p>Drill provides an extensible architecture at all layers, including the storage
-plugin, query, query optimization/execution, and client API layers. You can
-customize any layer for the specific needs of an organization or you can
-extend the layer to a broader array of use cases.</p>
-
-<p>Drill provides a built in classpath scanning and plugin concept to add
-additional storage plugins, functions, and operators with minimal
-configuration.</p>
-
-<p>The following list provides a few examples of Drill’s extensible architectural
-capabilities:</p>
-
-<ul>
-<li>A high performance Java API to implement custom UDFs/UDAFs</li>
-<li>Ability to go beyond Hadoop by implementing custom storage plugins to other data sources such as Oracle/MySQL or NoSQL stores, such as Mongo or Cassandra</li>
-<li>An API to implement custom operators</li>
-<li>Support for direct execution of strongly specified JSON based logical and physical plans to help with the simplification of testing, and to enable integration of alternative query languages other than SQL.</li>
-</ul>
-
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