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<div class="titlepage"><div><div>
<h2 class="title"><a id="_profiling_aggregations"></a>Profiling Aggregations<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.0/docs/reference/search/profile.asciidoc">edit</a></h2>
</div></div></div>
<div class="section">
<div class="titlepage"><div><div>
<h3 class="title"><a id="agg-section"></a><code class="literal">aggregations</code> Section<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.0/docs/reference/search/profile.asciidoc">edit</a></h3>
</div></div></div>
<p>The <code class="literal">aggregations</code> section contains detailed timing of the aggregation tree executed by a particular shard.
The overall structure of this aggregation tree will resemble your original Elasticsearch request. Let’s
execute the previous query again and look at the aggregation profile this time:</p>
<div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">GET /twitter/_search
{
"profile": true,
"query": {
"term": {
"user": {
"value": "test"
}
}
},
"aggs": {
"my_scoped_agg": {
"terms": {
"field": "likes"
}
},
"my_global_agg": {
"global": {},
"aggs": {
"my_level_agg": {
"terms": {
"field": "likes"
}
}
}
}
},
"post_filter": {
"match": {
"message": "some"
}
}
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/352.console"></div>
<p>Which yields the following aggregation profile output</p>
<div class="pre_wrapper lang-js">
<pre class="programlisting prettyprint lang-js">{
"profile" : {
"shards" : [
{
"aggregations" : [
{
"type" : "LongTermsAggregator",
"description" : "my_scoped_agg",
"time_in_nanos" : 195386,
"breakdown" : {
"reduce" : 0,
"build_aggregation" : 81171,
"build_aggregation_count" : 1,
"initialize" : 22753,
"initialize_count" : 1,
"reduce_count" : 0,
"collect" : 91456,
"collect_count" : 4
}
},
{
"type" : "GlobalAggregator",
"description" : "my_global_agg",
"time_in_nanos" : 190430,
"breakdown" : {
"reduce" : 0,
"build_aggregation" : 59990,
"build_aggregation_count" : 1,
"initialize" : 29619,
"initialize_count" : 1,
"reduce_count" : 0,
"collect" : 100815,
"collect_count" : 4
},
"children" : [
{
"type" : "LongTermsAggregator",
"description" : "my_level_agg",
"time_in_nanos" : 160329,
"breakdown" : {
"reduce" : 0,
"build_aggregation" : 55712,
"build_aggregation_count" : 1,
"initialize" : 10559,
"initialize_count" : 1,
"reduce_count" : 0,
"collect" : 94052,
"collect_count" : 4
}
}
]
}
]
}
]
}
}</pre>
</div>
<p>From the profile structure we can see that the <code class="literal">my_scoped_agg</code> is internally being run as a <code class="literal">LongTermsAggregator</code> (because the field it is
aggregating, <code class="literal">likes</code>, is a numeric field). At the same level, we see a <code class="literal">GlobalAggregator</code> which comes from <code class="literal">my_global_agg</code>. That
aggregation then has a child <code class="literal">LongTermsAggregator</code> which from the second terms aggregation on <code class="literal">likes</code>.</p>
<p>The <code class="literal">time_in_nanos</code> field shows the time executed by each aggregation, and is inclusive of all children. While the overall time is useful,
the <code class="literal">breakdown</code> field will give detailed stats about how the time was spent.</p>
<div class="section">
<div class="titlepage"><div><div>
<h4 class="title"><a id="_timing_breakdown_2"></a>Timing Breakdown<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.0/docs/reference/search/profile.asciidoc">edit</a></h4>
</div></div></div>
<p>The <code class="literal">breakdown</code> component lists detailed timing statistics about low-level Lucene execution:</p>
<div class="pre_wrapper lang-js">
<pre class="programlisting prettyprint lang-js">"breakdown": {
"reduce": 0,
"reduce_count": 0,
"build_aggregation": 49765,
"build_aggregation_count": 300,
"initialize": 52785,
"initialize_count": 300,
"reduce_count": 0,
"collect": 3155490036,
"collect_count": 1800
}</pre>
</div>
<p>Timings are listed in wall-clock nanoseconds and are not normalized at all. All caveats about the overall
<code class="literal">time</code> apply here. The intention of the breakdown is to give you a feel for A) what machinery in Elasticsearch is
actually eating time, and B) the magnitude of differences in times between the various components. Like the overall time,
the breakdown is inclusive of all children times.</p>
<p>The meaning of the stats are as follows:</p>
<h4><a id="_all_parameters_4"></a>All parameters:<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.0/docs/reference/search/profile.asciidoc">edit</a></h4>
<div class="informaltable">
<table border="0" cellpadding="4px">
<colgroup>
<col/>
<col/>
</colgroup>
<tbody valign="top">
<tr>
<td valign="top">
<p>
<code class="literal">initialise</code>
</p>
</td>
<td valign="top">
<p>
This times how long it takes to create and initialise the aggregation before starting to collect documents.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
<code class="literal">collect</code>
</p>
</td>
<td valign="top">
<p>
This represents the cumulative time spent in the collect phase of the aggregation. This is where matching documents are passed to the aggregation and the state of the aggregator is updated based on the information contained in the documents.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
<code class="literal">build_aggregation</code>
</p>
</td>
<td valign="top">
<p>
This represents the time spent creating the shard level results of the aggregation ready to pass back to the reducing node after the collection of documents is finished.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
<code class="literal">reduce</code>
</p>
</td>
<td valign="top">
<p>
This is not currently used and will always report <code class="literal">0</code>. Currently aggregation profiling only times the shard level parts of the aggregation execution. Timing of the reduce phase will be added later.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
<code class="literal">*_count</code>
</p>
</td>
<td valign="top">
<p>
Records the number of invocations of the particular method. For example, <code class="literal">"collect_count": 2,</code>
means the <code class="literal">collect()</code> method was called on two different documents.
</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
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