.mlcp.9.0.13.8.source-code.overview.html Maven / Gradle / Ivy
Overview of MarkLogic Connector for Hadoop</title</head>
<body>
<p>
This bundle provides an API for a MarkLogic Server content
connector for Apache Hadoop MapReduce. The overview covers the
following topics:
</p>
<ul>
<li><a href="#Introduction">Introduction</a></li>
<li><a href="#Configuration">Configuration</a></li>
</ul>
<p>
For detailed information, see the <em>MarkLogic Connector for
Hadoop Developer's Guide</em>.
</p>
<h2 id="Introduction">Introduction</h2>
<p>
The MarkLogic Connector for Hadoop API allows you to
use MarkLogic Server as either or both a Hadoop MapReduce
input source and an output destination.
</p>
<p>
The following classes are provided for defining MarkLogic-specific
key and value types for your MapReduce key-value pairs:
</p>
<ul>
<li>{@link com.marklogic.mapreduce.NodePath} for keys</li>
<li>{@link com.marklogic.mapreduce.DocumentURI} for keys</li>
<li>{@link com.marklogic.mapreduce.MarkLogicNode} for values</li>
</ul>
<p>
You may also use Apache Hadoop MapReduce types such as Text in
certain circumstances. See {@link com.marklogic.mapreduce.ValueInputFormat}
{@link com.marklogic.mapreduce.KeyValueInputFormat}.
</p>
<p>
You may generate input data using MarkLogic Server lexicon functions
by subclassing one of the lexicon function wrapper classes in
com.marklogic.mapreduce.functions. Use lexicon functions
with {@link com.marklogic.mapreduce.ValueInputFormat} and
{@link com.marklogic.mapreduce.KeyValueInputFormat}.
</p>
<p>
The following classes are provided for defining
MarkLogic-specific MapReduce input and output formats.
Input and output formats need not be the same type.
</p>
<ul>
<li>{@link com.marklogic.mapreduce.DocumentInputFormat}</li>
<li>{@link com.marklogic.mapreduce.NodeInputFormat}</li>
<li>{@link com.marklogic.mapreduce.ValueInputFormat}</li>
<li>{@link com.marklogic.mapreduce.KeyValueInputFormat}</li>
<li>{@link com.marklogic.mapreduce.ContentOutputFormat}</li>
<li>{@link com.marklogic.mapreduce.NodeOutputFormat}</li>
<li>{@link com.marklogic.mapreduce.PropertyOutputFormat}</li>
</ul>
<h2 id="Configuration">Configuration</h2>
<p>
Configure the connector using the standard Hadoop configuration
mechanism. That is, use a Hadoop configuration file to define
property values, or set properties programmatically on your
Job's {@link org.apache.hadoop.conf.Configuration} object.
</p>
<p>
The configuration properties available for the connector are
described in {@link com.marklogic.mapreduce.MarkLogicConstants}.
</p>
<p>
When using MarkLogic Server as an input source for MapReduce
tasks, you may use either basic or advanced input mode. The default
is <code>basic</code> mode. The mode is controlled through
the {@link com.marklogic.mapreduce.MarkLogicConstants#INPUT_MODE
mapreduce.marklogic.input.mode} property. The following sections
describe the input modes briefly. For details, see the
<em>MarkLogic Connector for Hadoop Developer's Guide</em>.
</p>
<h3>Configuring the Input Query With a Path Expression</h3>
<p>
In basic mode, you may supply components of an XQuery path expression
which the connector uses to generate input data. You may not use this
option along with a lexicon function class.
</p>
<p>To allow MarkLogic Server to optimize the input query, the path
expression is constructed from two components: A
{@link com.marklogic.mapreduce.MarkLogicConstants#DOCUMENT_SELECTOR
document node selector} and a
{@link com.marklogic.mapreduce.MarkLogicConstants#SUBDOCUMENT_EXPRESSION
sub-document expression}.
</p>
<p>
The input split is not configurable in <code>basic</code> mode. The
splits are based on a rough count of the number of fragments in
each forest. Use <code>advanced</code> input mode for more control
over input split generation.
</p>
<p>
Conceptually, the input data for each task is constructed from a
path expression similar to:
</p>
<pre class="codesample"><code>
$document-selector/$subdocument-expression
</code></pre>
<p>
Both components of the input path expression are optional. If no
document selector is given, <code>fn:collection()</code> is used.
If no subdocument expression is given, the document nodes returned
by the document selector are used as the input values.
</p>
<p>Examples:</p>
<pre class="codesample"><code>
document selector: none
subdocument expression: none
=> All document nodes in fn:collection()
document selector: fn:collection("wiki-topics")
subdocument expression: none
=> All document nodes in the "wiki-topics" collection
document selector: fn:collection("wiki-topics")
subdocument expression: //wp:a[@href]
=> All elements in the "wiki-topics" collection containing hrefs
document selector: fn:collection("wiki-topics")
subdocument expression: //wp:a[@href]/@title
=> The titles of all documents in the "wiki-topics" collection
containing hrefs
</code></pre>
<h3>Configuring the Input Query with a Lexicon Function</h3>
<p>
In basic mode, you may gather input data using a MarkLogicServer
lexicon function. This option may not be used with the XPath
based configuration properties described above. If both are
configured for a job, the lexicon function takes precedence.
</p>
<p>
To use a lexicon function for input, implement a subclass of
one of the lexicon wrapper functions in com.marklogic.mapreduce.functions.
For example, to use <code>cts:element-values</code>, implement a
subclass of {@link com.marklogic.mapreduce.functions.ElementValues}.
Override the methods corresponding to the function parameter value
you want to include in the call.
</p>
<p>
For details, see "Using a Lexicon to Generate Key-Value Pairs" in
the <em>MarkLogic Connector for Hadoop Developer's Guide</em>.
</p>
<h3>Configuring the Input Query in Advanced Mode</h3>
<p>
In <code>advanced</code> input mode, you must supply an
{@link com.marklogic.mapreduce.MarkLogicConstants#SPLIT_QUERY
input split query} and an
{@link com.marklogic.mapreduce.MarkLogicConstants#INPUT_QUERY
input query}.
</p>
<p>
The split query is used to generate meta-data for Hadoop's
input splits. This query must return a sequence of triples,
each of which includes a forest id, record (fragment) count,
and list of host names. The count may be an estimate.
</p>
<p>
The input query is used to fetch the input data for each map task.
This query must return data that matches the configured InputFormat
subclass.
</p>
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