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-<li><a href="overview-summary.html">Overview</a></li>
-<li>Package</li>
-<li>Class</li>
-<li>Use</li>
-<li class="navBarCell1Rev">Tree</li>
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-</ul>
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-<div class="header">
-<h1 class="title">Hierarchy For All Packages</h1>
-<span class="strong">Package Hierarchies:</span>
-<ul class="horizontal">
-<li><a 
href="org/apache/drill/jdbc/package-tree.html">org.apache.drill.jdbc</a>, </li>
-<li><a 
href="org/apache/drill/jdbc/proxy/package-tree.html">org.apache.drill.jdbc.proxy</a></li>
-</ul>
-</div>
-<div class="contentContainer">
-<h2 title="Class Hierarchy">Class Hierarchy</h2>
-<ul>
-<li type="circle">java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true";
 title="class or interface in java.lang"><span class="strong">Object</span></a>
-<ul>
-<li type="circle">net.hydromatic.avatica.ConnectionConfigImpl (implements 
net.hydromatic.avatica.ConnectionConfig)
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillConnectionConfig.html" title="class in 
org.apache.drill.jdbc"><span 
class="strong">DrillConnectionConfig</span></a></li>
-</ul>
-</li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/Driver.html" title="class in 
org.apache.drill.jdbc"><span class="strong">Driver</span></a> (implements 
java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Driver.html?is-external=true";
 title="class or interface in java.sql">Driver</a>)</li>
-<li type="circle">java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/Throwable.html?is-external=true";
 title="class or interface in java.lang"><span 
class="strong">Throwable</span></a> (implements java.io.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/io/Serializable.html?is-external=true";
 title="class or interface in java.io">Serializable</a>)
-<ul>
-<li type="circle">java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/Exception.html?is-external=true";
 title="class or interface in java.lang"><span 
class="strong">Exception</span></a>
-<ul>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/SQLException.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">SQLException</span></a> (implements java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/Iterable.html?is-external=true";
 title="class or interface in java.lang">Iterable</a>&lt;T&gt;)
-<ul>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/SQLNonTransientException.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">SQLNonTransientException</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/ExecutionCanceledSqlException.html" title="class in 
org.apache.drill.jdbc"><span 
class="strong">ExecutionCanceledSqlException</span></a></li>
-<li type="circle">org.apache.drill.exec.vector.accessor.InvalidAccessException
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/SQLConversionException.html" title="class in 
org.apache.drill.jdbc"><span class="strong">SQLConversionException</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/SQLConversionOverflowException.html" title="class 
in org.apache.drill.jdbc"><span 
class="strong">SQLConversionOverflowException</span></a></li>
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-</li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/JdbcApiSqlException.html" title="class in 
org.apache.drill.jdbc"><span class="strong">JdbcApiSqlException</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/AlreadyClosedSqlException.html" title="class in 
org.apache.drill.jdbc"><span 
class="strong">AlreadyClosedSqlException</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/InvalidCursorStateSqlException.html" title="class 
in org.apache.drill.jdbc"><span 
class="strong">InvalidCursorStateSqlException</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/InvalidParameterSqlException.html" title="class in 
org.apache.drill.jdbc"><span 
class="strong">InvalidParameterSqlException</span></a></li>
-</ul>
-</li>
-</ul>
-</li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/SqlTimeoutException.html" title="class in 
org.apache.drill.jdbc"><span class="strong">SqlTimeoutException</span></a></li>
-</ul>
-</li>
-</ul>
-</li>
-</ul>
-</li>
-<li type="circle">org.apache.drill.jdbc.proxy.<a 
href="org/apache/drill/jdbc/proxy/TracingProxyDriver.html" title="class in 
org.apache.drill.jdbc.proxy"><span class="strong">TracingProxyDriver</span></a> 
(implements java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Driver.html?is-external=true";
 title="class or interface in java.sql">Driver</a>)</li>
-</ul>
-</li>
-</ul>
-<h2 title="Interface Hierarchy">Interface Hierarchy</h2>
-<ul>
-<li type="circle">java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/AutoCloseable.html?is-external=true";
 title="class or interface in java.lang"><span 
class="strong">AutoCloseable</span></a>
-<ul>
-<li type="circle">java.sql.<a 
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 title="class or interface in java.sql"><span 
class="strong">Connection</span></a> (also extends java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Wrapper.html?is-external=true";
 title="class or interface in java.sql">Wrapper</a>)
-<ul>
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org.apache.drill.jdbc"><span class="strong">DrillConnection</span></a></li>
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-</li>
-<li type="circle">org.apache.drill.jdbc.<a 
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org.apache.drill.jdbc"><span class="strong">DrillConnection</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
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org.apache.drill.jdbc"><span class="strong">DrillStatement</span></a></li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/PreparedStatement.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">PreparedStatement</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
-</ul>
-</li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/ResultSet.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">ResultSet</span></a> (also extends java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Wrapper.html?is-external=true";
 title="class or interface in java.sql">Wrapper</a>)
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillResultSet.html" title="interface in 
org.apache.drill.jdbc"><span class="strong">DrillResultSet</span></a></li>
-</ul>
-</li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Statement.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">Statement</span></a> (also extends java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Wrapper.html?is-external=true";
 title="class or interface in java.sql">Wrapper</a>)
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillStatement.html" title="interface in 
org.apache.drill.jdbc"><span class="strong">DrillStatement</span></a></li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/PreparedStatement.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">PreparedStatement</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
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-</li>
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-</li>
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-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/SchemaChangeListener.html" title="interface in 
org.apache.drill.jdbc"><span class="strong">SchemaChangeListener</span></a></li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Wrapper.html?is-external=true";
 title="class or interface in java.sql"><span class="strong">Wrapper</span></a>
-<ul>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Connection.html?is-external=true";
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class="strong">Connection</span></a> (also extends java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/AutoCloseable.html?is-external=true";
 title="class or interface in java.lang">AutoCloseable</a>)
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
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-</li>
-<li type="circle">java.sql.<a 
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 title="class or interface in java.sql"><span 
class="strong">DatabaseMetaData</span></a>
-<ul>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillDatabaseMetaData.html" title="interface in 
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class="strong">DrillDatabaseMetaData</span></a></li>
-</ul>
-</li>
-<li type="circle">org.apache.drill.jdbc.<a 
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org.apache.drill.jdbc"><span class="strong">DrillConnection</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
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org.apache.drill.jdbc"><span 
class="strong">DrillDatabaseMetaData</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
-<li type="circle">org.apache.drill.jdbc.<a 
href="org/apache/drill/jdbc/DrillResultSet.html" title="interface in 
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-<li type="circle">org.apache.drill.jdbc.<a 
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org.apache.drill.jdbc"><span class="strong">DrillStatement</span></a></li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/PreparedStatement.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">PreparedStatement</span></a>
-<ul>
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href="org/apache/drill/jdbc/DrillPreparedStatement.html" title="interface in 
org.apache.drill.jdbc"><span 
class="strong">DrillPreparedStatement</span></a></li>
-</ul>
-</li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/ResultSet.html?is-external=true";
 title="class or interface in java.sql"><span 
class="strong">ResultSet</span></a> (also extends java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/AutoCloseable.html?is-external=true";
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-<ul>
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-</li>
-<li type="circle">java.sql.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/sql/Statement.html?is-external=true";
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class="strong">Statement</span></a> (also extends java.lang.<a 
href="http://docs.oracle.com/javase/7/docs/api/java/lang/AutoCloseable.html?is-external=true";
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-<ul>
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-</ul>
-</li>
-</ul>
-</li>
-</ul>
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-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" 
"http://www.w3.org/TR/html4/loose.dtd";>
-<!-- NewPage -->
-<html lang="en">
-<head>
-<!-- Generated by javadoc (version 1.7.0_71) on Sun Oct 11 22:18:18 PDT 2015 
-->
-<meta http-equiv="Content-Type" content="text/html" charset="UTF-8">
-<title>Serialized Form (Apache Drill JDBC Driver v. 1.2.0)</title>
-<meta name="date" content="2015-10-11">
-<link rel="stylesheet" type="text/css" href="stylesheet.css" title="Style">
-</head>
-<body>
-<script type="text/javascript"><!--
-    if (location.href.indexOf('is-external=true') == -1) {
-        parent.document.title="Serialized Form (Apache Drill JDBC Driver v. 
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-//-->
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http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/architecture/index.html
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-  <h2>Query Flow in Drill</h2>
-
-  <p>
-    The following image represents the flow of a Drill query:
-    <img src="/drill/images/arc-1.jpg" alt="The flow of a Drill query" 
width="550">
-    The flow of a Drill query typically involves the following steps:
-  </p>
-  <ul class="num">
-    <li>The Drill client issues a query. A Drill client is a JDBC, ODBC, 
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queries from the clients.  There is no master-slave concept.</li>
-    <li>The Drillbit then parses the query, optimizes it, and generates a 
distributed query plan that is optimized for fast and efficient execution.</li>
-    <li>The Drillbit that accepts the query becomes the driving Drillbit node 
for the request. It gets a list of available Drillbit nodes in the cluster from 
ZooKeeper. The driving Drillbit determines the appropriate nodes to execute 
various query plan fragments to maximize data locality.</li>
-    <li> The Drillbit schedules the execution of query fragments on individual 
nodes according to the execution plan.</li>
-    <li>The individual nodes finish their execution and return data to the 
driving Drillbit.</li>
-    <li>The driving Drillbit streams results back to the client.</li>
-  </ul>
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-  <h2>Core Modules within a Drillbit</h2>
-  <p>The following image represents Drillbit components:</p>
-
-  <img src="/drill/images/arc-2.jpg" alt="Drillbit components" width="525">
-
-  <p>• RPC end point: Drill exposes a low overhead protobuf-based RPC 
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layers are also available for the client applications to interact with Drill. 
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It is recommended that the clients always go through ZooKeeper to shield 
clients from the intricacies of cluster management, such as the addition or 
removal of nodes.</p>
-  <p>• SQL parser: Drill uses Optiq, the open source framework, to parse 
incoming queries. The output of the parser component is a language agnostic, 
computer-friendly logical plan that represents the query.</p>
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rule based/cost based, as well as data locality and other optimization rules 
exposed by the storage engine to re-write and split the query. The output of 
the optimizer is a distributed physical query plan that represents the most 
efficient and fastest way to execute the query across different nodes in the 
cluster.</p>
-  <p>• Execution engine: Drill provides a MPP execution engine built to 
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</p>
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Drill uses to interact with the data sources. Storage plugins provide Drill 
with the following information:</p>
-
-  <p class="l1">
-    • Metadata available in the source<br>
-    • Interfaces for Drill to read from and write to data sources<br>
-    • Location of data and a set of optimization rules to help with 
efficient and faster execution of Drill queries on a specific data source
-  </p>
-  <p>In the context of Hadoop, Drill provides storage plugins for files and 
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any requests. </p>
-  <p>• Distributed cache: Drill uses a distributed cache to manage metadata 
(not the data) and configuration information across various nodes. Sample 
metadata information that is stored in the cache includes query plan fragments, 
intermediate state of the query execution, and statistics. Drill uses 
Infinispan as its cache technology.</p>
-  <h2>Architectural Highlights</h2>
-
-  <p>The goal for Drill is to bring the SQL ecosystem and performance of the 
relational systems to Hadoop scale data WITHOUT compromising on the flexibility 
of Hadoop/NoSQL systems. There are several core architectural elements in 
Apache Drill that make it a highly flexible and efficient query engine.</p>
-
-  <h3>Flexibility</h3>
-  <ul>
-    <li><p><strong>Dynamic schema discovery</strong>: 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 will be leveraged by 
Drill dynamically at the 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.
-    <li><p><strong>Flexible data model</strong>: Drill is purpose-built from 
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 
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From an architecture point of view, Drill provides a flexible hierarchical 
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data models and allows efficient processing of it without need to flatten or 
materialize it either design time or at execution time. Relational data in 
Drill is treated as a special or simplified case of complex/multi-structured 
data.
-    <li><p><strong>Decentralized metadata</strong>: 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/views in a metadata repository, or rely 
on a database administrator group for such a function. <br><br>
-      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. <br><br>
-      De-centralized metadata also means that Drill is NOT tied to a single 
Hive repository either. Users can query from multiple Hive repositories in a 
single query and then combine data with information from HBase tables or a file 
in the distributed file system. <br><br>
-      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. <br><br>
-      From a client access perspective, Drill metadata is organized just like 
a traditional DB <br>(Databases->Tables/Views->Columns). The metadata is 
accessible through the ANSI standard INFORMATION_SCHEMA database.
-    <li><p><strong>Extensibility</strong>: Drill provides an extensible 
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array of use cases. <br><br>
-      Drill provides a built in classpath scanning and plugin concept to add 
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-      <br><br>
-      The following list provides a few examples of Drill's extensible 
architectural capabilities:
-      <ul>
-        <li>A high performance Java API to implement custom UDFs/UDAFs
-        <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>An API to implement custom operators
-        <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.
-      </ul>
-  </ul>
-
-  <h3>Performance</h3>
-
-  <p>Drill is designed from the ground up for high performance on large 
datasets. Few core elements of Drill processing that help Drill achieve its 
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-  <ul>
-    <li><p><strong>Distributed engine</strong>: Drill provides a powerful 
distributed execution engine for processing queries. Users can submit requests 
to any node in the cluster. You can simply add new nodes to the cluster to 
scale for larger volumes of data, support more users or to improve performance.
-    <li><p><strong>Columnar execution</strong>: Drill optimizes for both 
columnar storage and execution by using an in-memory data model that is 
hierarchical and columnar. When working with data stored in columnar formats 
such as Parquet, Drill avoids disk access for columns that are not involved in 
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processing directly on columnar data without row materialization. The 
combination of optimizations for columnar storage and direct columnar execution 
significantly lowers memory footprints and provides faster execution of 
BI/Analytic type of workloads.
-    <li><p><strong>Vectorization</strong>: Rather than operating on single 
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are arrays of values from many different records. The technical basis for 
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near peak performance is something impossible to achieve in traditional 
database engines, primarily due to code complexity.
-    <li><p><strong>Runtime compilation</strong>:
-      Runtime compilation is faster compared to the interpreted execution. 
Drill generates highly efficient custom code for every single query for every 
single operator.  Here is a quick overview of the Drill compilation/code 
generation process at a glance.
-      <br><img src="/drill/images/drillcompiler.png" width="500">
-    <li><p><strong>Optimistic and pipelined query execution</strong>: Drill 
adopts an optimistic execution model to process queries. Drill assumes that 
failures are infrequent within the short span of a query and therefore does not 
spend time creating boundaries or checkpoints to minimize recovery time. 
Failures at node level are handled gracefully. In the instance of a single 
query failure, the query is rerun. Drill execution uses a pipeline model where 
all tasks are scheduled at once. The query execution happens in-memory as much 
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http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/blog/2014/11/19/sql-on-mongodb/index.html
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-      <h1 class="post-title">SQL on MongoDB</h1>
-    </div>
-    <p class="post-meta">
-    
-    <strong>Authors:</strong>
-    <ul>
-      
-        
-        <li>Anil Kumar Batchu (SSE, Intuit India (IDC))</li>
-      
-        
-        <li>Kamesh Bhallamudi (SSE, Intuit India (IDC))</li>
-      
-    </ul>
-    
-<strong>Date:</strong> Nov 19, 2014
-</p>
-  </header>
-  <div class="addthis_sharing_toolbox"></div>
-
-  <article class="post-content">
-    <p>One of the many interesting and unique features about Drill is its 
ability to support multiple query languages, data formats, and data sources, as 
well as cross-platform querying (such as joining HBase tables with your Mongo 
collections) using ANSI SQL.</p>
-
-<p>As of now, Drill supports multiple storage plugins, including HDFS, HBase, 
Hive, and LocalFileSystem. Since Drill is optimized for nested data, we 
realized that a Mongo storage plugin would be a useful feature.</p>
-
-<p>So, recently Kamesh and I (we have an avid interest in all things Mongo) 
contributed the MongoDB storage plugin feature to the Apache Drill project. As 
part of this blog post, we would like to provide instructions on how to use 
this plugin, which has been included in the <a 
href="http://incubator.apache.org/drill/download/";>Drill 0.6 release</a>.</p>
-
-<p>The instructions are divided into the following subtopics:</p>
-
-<ul>
-<li>Drill and Mongo setup (standalone/replicated/sharded)</li>
-<li>Running queries</li>
-<li>Securely accessing MongoDB</li>
-<li>Optimizations</li>
-</ul>
-
-<h2 id="drill-and-mongodb-setup-(standalone/replicated/sharded)">Drill and 
MongoDB Setup (Standalone/Replicated/Sharded)</h2>
-
-<h3 id="standalone">Standalone</h3>
-
-<ul>
-<li>Start <code>mongod</code> process (<a 
href="http://docs.mongodb.org/manual/installation/";>Install MongoDB</a>)</li>
-<li>Start Drill in embedded mode (<a 
href="https://cwiki.apache.org/confluence/display/DRILL/Installing+Drill+in+Embedded+Mode";>Installing
 Drill in Embedded Mode</a> &amp; <a 
href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=44994063";>Starting/Stopping
 Drill</a>) </li>
-<li>Access the Web UI through the local drillbit: <a 
href="http://localhost:8047/";>http://localhost:8047/</a></li>
-<li><p>Enable the Mongo storage plugin and update its configuration:</p>
-<div class="highlight"><pre><code class="language-json" data-lang="json"><span 
class="p">{</span>
-  <span class="nt">&quot;type&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongo&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;connection&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongodb://localhost:27017&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;enabled&quot;</span><span class="p">:</span> <span 
class="kc">true</span>
-<span class="p">}</span>
-</code></pre></div></li>
-</ul>
-
-<p>By default, <code>mongod</code> listens on port 27017.</p>
-
-<p><img src="/drill/static/sql-on-mongodb/standalone.png" alt="Drill on 
MongoDB in standalone mode"></p>
-
-<h3 id="replica-set">Replica Set</h3>
-
-<ul>
-<li>Start <code>mongod</code> processes in replication mode</li>
-<li>Start Drill in distributed mode (<a 
href="https://cwiki.apache.org/confluence/display/DRILL/Installing+Drill+in+Distributed+Mode";>Installing
 Drill in Distributed Mode</a> &amp; <a 
href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=44994063";>Starting/Stopping
 Drill</a>)</li>
-<li>Access the Web UI through any drillbit: <a 
href="http://drillbit2:8047";>http://drillbit2:8047</a></li>
-<li><p>Enable the Mongo storage plugin and update its configuration:</p>
-<div class="highlight"><pre><code class="language-json" data-lang="json"><span 
class="p">{</span>
-  <span class="nt">&quot;type&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongo&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;connection&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongodb://&lt;host1&gt;:&lt;port1&gt;,&lt;host2&gt;:&lt;port2&gt;&quot;</span><span
 class="p">,</span>
-  <span class="nt">&quot;enabled&quot;</span><span class="p">:</span> <span 
class="kc">true</span>
-<span class="p">}</span>
-</code></pre></div>
-<p>Where <code>host1</code> and <code>host2</code> are <code>mongod</code> 
hostnames in the replica set.</p></li>
-</ul>
-
-<p><img src="/drill/static/sql-on-mongodb/replicated.png" alt="Drill on 
MongoDB in replicated mode"></p>
-
-<p>In replicated mode, whichever drillbit receives the query connects to the 
nearest <code>mongod</code> (local <code>mongod</code>) to read the data.</p>
-
-<h3 id="sharded/sharded-with-replica-set">Sharded/Sharded with Replica Set</h3>
-
-<ul>
-<li>Start Mongo processes in sharded mode</li>
-<li>Start Drill in distributed mode (<a 
href="https://cwiki.apache.org/confluence/display/DRILL/Installing+Drill+in+Distributed+Mode";>Installing
 Drill in Distributed Mode</a> &amp; <a 
href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=44994063";>Starting/Stopping
 Drill</a>)</li>
-<li>Access the Web UI through any drillbit: <a 
href="http://drillbit3:8047";>http://drillbit3:8047</a></li>
-<li><p>Enable the Mongo storage plugin and update its configuration:</p>
-<div class="highlight"><pre><code class="language-json" data-lang="json"><span 
class="p">{</span> 
-  <span class="nt">&quot;type&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongo&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;connection&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongodb://&lt;host1&gt;:&lt;port1&gt;,&lt;host2&gt;:&lt;port2&gt;&quot;</span><span
 class="p">,</span>
-  <span class="nt">&quot;enabled&quot;</span><span class="p">:</span> <span 
class="kc">true</span>
-<span class="p">}</span>
-</code></pre></div>
-<p>Where <code>host1</code> and <code>host2</code> are the <code>mongos</code> 
hostnames.</p></li>
-</ul>
-
-<p><img src="/drill/static/sql-on-mongodb/sharded.png" alt="Drill on MongoDB 
in sharded mode"></p>
-
-<p>In sharded mode, drillbit first connects to the <code>mongos</code> server 
to get the shard information.</p>
-
-<h2 id="endpoint-assignments">Endpoint Assignments</h2>
-
-<p>Drill is designed to maximize data locality:</p>
-
-<ul>
-<li>When drillbits and shards run together on the same machines, each drillbit 
(endpoint) will read the chunks from the local shard. That is, all the chunks 
from a shard will be assigned to its local drillbit. This is known as data 
locality, and is the ideal scenario.</li>
-<li>When all drillbits and shards are running on different machines, chunks 
will be assigned to drillbits in a round-robin fashion. In this case there is 
no data locality.</li>
-<li>When some of drillbits and shards are colocated, and some of them are 
running on different machines, partial data locality is achieved.</li>
-</ul>
-
-<h2 id="running-queries">Running Queries</h2>
-
-<p>Here is a simple exercise that provides steps for creating an 
<code>empinfo</code> collection in an <code>employee</code> database in Mongo 
that you can query using Drill:</p>
-
-<ol>
-<li>Download <a href="http://media.mongodb.org/zips.json";>zips.json</a> and 
the <a href="/drill/static/sql-on-mongodb/empinfo.json">empinfo.json</a> 
dataset referenced at the end of blog.</li>
-<li><p>Import the zips.json and empinfo.json files into Mongo using the 
following command:  </p>
-<div class="highlight"><pre><code class="language-bash" 
data-lang="bash">mongoimport --host localhost --db <span class="nb">test</span> 
--collection zips &lt; zips.json
-mongoimport --host localhost --db employee --collection empinfo &lt; 
empinfo.json
-</code></pre></div></li>
-<li><p>Issue the following queries either from sqlline (Drill’s shell) or 
from the Drill Web UI to get corresponding results from the Mongo collection. 
</p>
-
-<ul>
-<li>To issue queries from the web UI, open the Drill web UI and go to Query 
tab. </li>
-<li><p>To issue queries from sqlline, connect to sqlline using the following 
command: </p>
-<div class="highlight"><pre><code class="language-bash" 
data-lang="bash">&lt;DRILLHOME&gt;/bin/sqlline -u jdbc:drill:zk<span 
class="o">=</span>zkhost:2181 -n admin -p admin
-</code></pre></div></li>
-</ul></li>
-<li><p>Queries:</p>
-<div class="highlight"><pre><code class="language-sql" data-lang="sql"><span 
class="k">SELECT</span> <span class="n">first_name</span><span 
class="p">,</span> <span class="n">last_name</span><span class="p">,</span> 
<span class="n">position_id</span>
-<span class="k">FROM</span> <span class="n">mongo</span><span 
class="p">.</span><span class="n">employee</span><span class="p">.</span><span 
class="o">`</span><span class="n">empinfo</span><span class="o">`</span>
-<span class="k">WHERE</span> <span class="n">employee_id</span> <span 
class="o">=</span> <span class="mi">1107</span> <span class="k">AND</span> 
<span class="n">position_id</span> <span class="o">=</span> <span 
class="mi">17</span> <span class="k">AND</span> <span 
class="n">last_name</span> <span class="o">=</span> <span 
class="s1">&#39;Yonce&#39;</span><span class="p">;</span>  
-
-<span class="k">SELECT</span> <span class="n">city</span><span 
class="p">,</span> <span class="k">sum</span><span class="p">(</span><span 
class="n">pop</span><span class="p">)</span>
-<span class="k">FROM</span> <span class="n">mongo</span><span 
class="p">.</span><span class="n">test</span><span class="p">.</span><span 
class="o">`</span><span class="n">zips</span><span class="o">`</span> <span 
class="n">zipcodes</span>
-<span class="k">WHERE</span> <span class="k">state</span> <span 
class="k">IS</span> <span class="k">NOT</span> <span class="k">NULL</span> 
<span class="k">GROUP</span> <span class="k">BY</span> <span 
class="n">city</span>
-<span class="k">ORDER</span> <span class="k">BY</span> <span 
class="k">sum</span><span class="p">(</span><span class="n">pop</span><span 
class="p">)</span> <span class="k">DESC</span> <span class="k">LIMIT</span> 
<span class="mi">1</span><span class="p">;</span>
-</code></pre></div></li>
-</ol>
-
-<p><em>Note</em>: If a field contains a mixture of different data types across 
different records, such as both int and decimal values, then queries fail 
unless <code>store.mongo.all_text_mode = true</code> and aggregations fail in 
that case. For more information refer to <a 
href="https://issues.apache.org/jira/browse/DRILL-1475";>DRILL-1475</a> and <a 
href="https://issues.apache.org/jira/browse/DRILL-1460";>DRILL-1460</a>.</p>
-
-<p>To set <code>store.mongo.all_text_mode = true</code>, execute the following 
command in sqlline:</p>
-<div class="highlight"><pre><code class="language-sql" data-lang="sql"><span 
class="k">alter</span> <span class="k">session</span> <span 
class="k">set</span> <span class="n">store</span><span class="p">.</span><span 
class="n">mongo</span><span class="p">.</span><span 
class="n">all_text_mode</span> <span class="o">=</span> <span 
class="k">true</span>
-</code></pre></div>
-<h2 id="securely-accessing-mongodb">Securely Accessing MongoDB</h2>
-
-<p>Create two databases, emp and zips. For each database, create a user with 
read privileges. As an example, for the zips database, create a user 
“apache” with read privileges. For the emp database, create a user 
“drill” with read privileges.</p>
-
-<p>The apache user will be able to query the zips database by using the 
following storage plugin configuration:</p>
-<div class="highlight"><pre><code class="language-json" data-lang="json"><span 
class="p">{</span> 
-  <span class="nt">&quot;type&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongo&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;connection&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongodb://apache:apache@localhost:27017/zips&quot;</span><span 
class="p">,</span>
-  <span class="nt">&quot;enabled&quot;</span><span class="p">:</span> <span 
class="kc">true</span>
-<span class="p">}</span>
-</code></pre></div>
-<p>The <code>drill</code> user will be able to query the <code>emp</code> 
database by using the following storage plugin configuration:</p>
-<div class="highlight"><pre><code class="language-json" data-lang="json"><span 
class="p">{</span> 
-  <span class="nt">&quot;type&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongo&quot;</span><span class="p">,</span>
-  <span class="nt">&quot;connection&quot;</span><span class="p">:</span> <span 
class="s2">&quot;mongodb://drill:drill@localhost:27017/emp&quot;</span><span 
class="p">,</span>
-  <span class="nt">&quot;enabled&quot;</span><span class="p">:</span> <span 
class="kc">true</span> 
-<span class="p">}</span>
-</code></pre></div>
-<p><em>Note</em>: The security patch may be included in next release. Check <a 
href="https://issues.apache.org/jira/browse/DRILL-1502";>DRILL-1502</a> for 
status.</p>
-
-<h2 id="optimizations">Optimizations</h2>
-
-<p>The MongoDB storage plugin supports predicate pushdown and projection 
pushdown. As of now, predicate pushdown is implemented for the following 
filters: <code>&gt;</code>, <code>&gt;=</code>, <code>&lt;</code>, 
<code>&lt;=</code>, <code>==</code>, <code>!=</code>, <code>isNull</code> and 
<code>isNotNull</code>.</p>
-
-<p>We are excited about the release of the MongoDB storage plugin, and we 
believe that Drill is the perfect SQL query tool for MongoDB.</p>
-
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