Merge pull request #18392 from colings86/docs/profiler_changes

Updates the documentation for the recent changes in the profiler
This commit is contained in:
Colin Goodheart-Smithe 2016-05-17 11:07:38 +01:00
commit 8547410eea
2 changed files with 27 additions and 21 deletions

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@ -176,3 +176,9 @@ The `coerce` and `ignore_malformed` parameters were deprecated in favour of `val
* Top level inner hits syntax has been removed. Inner hits can now only be specified as part of the `nested`,
`has_child` and `has_parent` queries. Use cases previously only possible with top level inner hits can now be done
with inner hits defined inside the query dsl.
==== Query Profiler
In the response for profiling queries, the `query_type` has been renamed to `type` and `lucene` has been renamed to
`description`. These changes have been made so the response format is more friendly to supporting other types of profiling
in the future.

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@ -65,8 +65,8 @@ This will yield the following result:
{
"query": [
{
"query_type": "BooleanQuery",
"lucene": "message:search message:test",
"type": "BooleanQuery",
"description": "message:search message:test",
"time": "15.52889800ms",
"breakdown": {
"score": 0,
@ -78,8 +78,8 @@ This will yield the following result:
},
"children": [
{
"query_type": "TermQuery",
"lucene": "message:search",
"type": "TermQuery",
"description": "message:search",
"time": "4.938855000ms",
"breakdown": {
"score": 0,
@ -91,8 +91,8 @@ This will yield the following result:
}
},
{
"query_type": "TermQuery",
"lucene": "message:test",
"type": "TermQuery",
"description": "message:test",
"time": "0.5016660000ms",
"breakdown": {
"score": 0,
@ -180,20 +180,20 @@ The overall structure of this query tree will resemble your original Elasticsear
--------------------------------------------------
"query": [
{
"query_type": "BooleanQuery",
"lucene": "message:search message:test",
"type": "BooleanQuery",
"description": "message:search message:test",
"time": "15.52889800ms",
"breakdown": {...}, <1>
"children": [
{
"query_type": "TermQuery",
"lucene": "message:search",
"type": "TermQuery",
"description": "message:search",
"time": "4.938855000ms",
"breakdown": {...}
},
{
"query_type": "TermQuery",
"lucene": "message:test",
"type": "TermQuery",
"description": "message:test",
"time": "0.5016660000ms",
"breakdown": {...}
}
@ -204,8 +204,8 @@ The overall structure of this query tree will resemble your original Elasticsear
<1> The breakdown timings are omitted for simplicity
Based on the profile structure, we can see that our `match` query was rewritten by Lucene into a BooleanQuery with two
clauses (both holding a TermQuery). The `"query_type"` field displays the Lucene class name, and often aligns with
the equivalent name in Elasticsearch. The `"lucene"` field displays the Lucene explanation text for the query, and
clauses (both holding a TermQuery). The `"type"` field displays the Lucene class name, and often aligns with
the equivalent name in Elasticsearch. The `"description"` field displays the Lucene explanation text for the query, and
is made available to help differentiating between parts of your query (e.g. both `"message:search"` and `"message:test"`
are TermQuery's and would appear identical otherwise.
@ -214,7 +214,7 @@ of all children.
The `"breakdown"` field will give detailed stats about how the time was spent, we'll look at
that in a moment. Finally, the `"children"` array lists any sub-queries that may be present. Because we searched for two
values ("search test"), our BooleanQuery holds two children TermQueries. They have identical information (query_type, time,
values ("search test"), our BooleanQuery holds two children TermQueries. They have identical information (type, time,
breakdown, etc). Children are allowed to have their own children.
==== Timing Breakdown
@ -465,8 +465,8 @@ And the response:
{
"query": [
{
"query_type": "TermQuery",
"lucene": "my_field:foo",
"type": "TermQuery",
"description": "my_field:foo",
"time": "0.4094560000ms",
"breakdown": {
"score": 0,
@ -478,8 +478,8 @@ And the response:
}
},
{
"query_type": "TermQuery",
"lucene": "message:search",
"type": "TermQuery",
"description": "message:search",
"time": "0.3037020000ms",
"breakdown": {
"score": 0,
@ -522,8 +522,8 @@ And the response:
{
"query": [
{
"query_type": "MatchAllDocsQuery",
"lucene": "*:*",
"type": "MatchAllDocsQuery",
"description": "*:*",
"time": "0.04829300000ms",
"breakdown": {
"score": 0,