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<?xml version="1.0" encoding="utf-8"?>
<!-- $Revision: 329620 $ -->
<refentry xml:id="mongocollection.group" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
<refnamediv>
<refname>MongoCollection::group</refname>
<refpurpose>Performs an operation similar to SQL's GROUP BY command</refpurpose>
</refnamediv>
<refsect1 role="description">
&reftitle.description;
<methodsynopsis>
<modifier>public</modifier> <type>array</type><methodname>MongoCollection::group</methodname>
<methodparam><type>mixed</type><parameter>keys</parameter></methodparam>
<methodparam><type>array</type><parameter>initial</parameter></methodparam>
<methodparam><type>MongoCode</type><parameter>reduce</parameter></methodparam>
<methodparam choice="opt"><type>array</type><parameter>options</parameter><initializer>array()</initializer></methodparam>
</methodsynopsis>
</refsect1>
<refsect1 role="parameters">
&reftitle.parameters;
<para>
<variablelist>
<varlistentry>
<term>
<parameter>keys</parameter>
</term>
<listitem>
<para>
Fields to group by. If an array or non-code object is passed, it will be
the key used to group results.
</para>
<para>1.0.4+: If <parameter>keys</parameter> is an instance of
<classname>MongoCode</classname>, <parameter>keys</parameter> will be treated as
a function that returns the key to group by (see the "Passing a
<parameter>keys</parameter> function" example below).
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>
<parameter>initial</parameter>
</term>
<listitem>
<para>
Initial value of the aggregation counter object.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>
<parameter>reduce</parameter>
</term>
<listitem>
<para>
A function that takes two arguments (the current document and the
aggregation to this point) and does the aggregation.
</para>
</listitem>
</varlistentry>
<varlistentry>
<term>
<parameter>options</parameter>
</term>
<listitem>
<para>
Optional parameters to the group command. Valid options include:
</para>
<itemizedlist>
<listitem>
<para>
<literal>"condition"</literal>
</para>
<para>
Criteria for including a document in the aggregation.
</para>
</listitem>
<listitem>
<para>
<literal>"finalize"</literal>
</para>
<para>
Function called once per unique key that takes the final output of the
reduce function.
</para>
</listitem>
</itemizedlist>
</listitem>
</varlistentry>
</variablelist>
</para>
</refsect1>
<refsect1 role="returnvalues">
&reftitle.returnvalues;
<para>
Returns an array containing the result.
</para>
</refsect1>
<refsect1 role="changelog">
&reftitle.changelog;
<para>
<informaltable>
<tgroup cols="2">
<thead>
<row>
<entry>&Version;</entry>
<entry>&Description;</entry>
</row>
</thead>
<tbody>
<row>
<entry>1.2.11</entry>
<entry>
Emits <constant>E_DEPRECATED</constant> when
<parameter>options</parameter> is <type>scalar</type>.
</entry>
</row>
</tbody>
</tgroup>
</informaltable>
</para>
</refsect1>
<refsect1 role="examples">
&reftitle.examples;
<example>
<title><function>MongoCollection::group</function> example</title>
<para>
This groups documents by category and creates a list of names within that
category.
</para>
<programlisting role="php">
<![CDATA[
<?php
$collection->insert(array("category" => "fruit", "name" => "apple"));
$collection->insert(array("category" => "fruit", "name" => "peach"));
$collection->insert(array("category" => "fruit", "name" => "banana"));
$collection->insert(array("category" => "veggie", "name" => "corn"));
$collection->insert(array("category" => "veggie", "name" => "broccoli"));
$keys = array("category" => 1);
$initial = array("items" => array());
$reduce = "function (obj, prev) { prev.items.push(obj.name); }";
$g = $collection->group($keys, $initial, $reduce);
echo json_encode($g['retval']);
?>
]]>
</programlisting>
&example.outputs.similar;
<screen>
<![CDATA[
[{"category":"fruit","items":["apple","peach","banana"]},{"category":"veggie","items":["corn","broccoli"]}]
]]>
</screen>
</example>
<example>
<title><function>MongoCollection::group</function> example</title>
<para>
This example doesn't use any key, so every document will be its own group.
It also uses a condition: only documents that match this condition will be
processed by the grouping function.
</para>
<programlisting role="php">
<![CDATA[
<?php
$collection->save(array("a" => 2));
$collection->save(array("b" => 5));
$collection->save(array("a" => 1));
// use all fields
$keys = array();
// set intial values
$initial = array("count" => 0);
// JavaScript function to perform
$reduce = "function (obj, prev) { prev.count++; }";
// only use documents where the "a" field is greater than 1
$condition = array('condition' => array("a" => array( '$gt' => 1)));
$g = $collection->group($keys, $initial, $reduce, $condition);
var_dump($g);
?>
]]>
</programlisting>
&example.outputs.similar;
<screen>
<![CDATA[
array(4) {
["retval"]=>
array(1) {
[0]=>
array(1) {
["count"]=>
float(1)
}
}
["count"]=>
float(1)
["keys"]=>
int(1)
["ok"]=>
float(1)
}
]]>
</screen>
</example>
<example>
<title>Passing a <parameter>keys</parameter> function</title>
<para>
If you want to group by something other than a field name, you can pass
a function as the first parameter of
<function>MongoCollection::group</function> and it will be run against each
document. The return value of the function will be used as its grouping
value.
</para>
<para>
This example demonstrates grouping by the num field modulo 4.
</para>
<programlisting role="php">
<![CDATA[
<?php
$c->group(new MongoCode('function(doc) { return {mod : doc.num % 4}; }'),
array("count" => 0),
new MongoCode('function(current, total) { total.count++; }'));
?>
]]>
</programlisting>
</example>
</refsect1>
</refentry>
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