OpenSearch/docs/reference/aggregations/bucket/children-aggregation.asciidoc
Jason Tedor 4a4e3d70d5
Default to one shard (#30539)
This commit changes the default out-of-the-box configuration for the
number of shards from five to one. We think this will help address a
common problem of oversharding. For users with time-based indices that
need a different default, this can be managed with index templates. For
users with non-time-based indices that find they need to re-shard with
the split API in place they no longer need to resort only to
reindexing.

Since this has the impact of changing the default number of shards used
in REST tests, we want to ensure that we still have coverage for issues
that could arise from multiple shards. As such, we randomize (rarely)
the default number of shards in REST tests to two. This is managed via a
global index template. However, some tests check the templates that are
in the cluster state during the test. Since this template is randomly
there, we need a way for tests to skip adding the template used to set
the number of shards to two. For this we add the default_shards feature
skip. To avoid having to write our docs in a complicated way because
sometimes they might be behind one shard, and sometimes they might be
behind two shards we apply the default_shards feature skip to all docs
tests. That is, these tests will always run with the default number of
shards (one).
2018-05-14 12:22:35 -04:00

227 lines
5.4 KiB
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[[search-aggregations-bucket-children-aggregation]]
=== Children Aggregation
A special single bucket aggregation that selects child documents that have the specified type, as defined in a <<parent-join,`join` field>>.
This aggregation has a single option:
* `type` - The child type that should be selected.
For example, let's say we have an index of questions and answers. The answer type has the following `join` field in the mapping:
[source,js]
--------------------------------------------------
PUT child_example
{
"mappings": {
"_doc": {
"properties": {
"join": {
"type": "join",
"relations": {
"question": "answer"
}
}
}
}
}
}
--------------------------------------------------
// CONSOLE
The `question` document contain a tag field and the `answer` documents contain an owner field. With the `children`
aggregation the tag buckets can be mapped to the owner buckets in a single request even though the two fields exist in
two different kinds of documents.
An example of a question document:
[source,js]
--------------------------------------------------
PUT child_example/_doc/1
{
"join": {
"name": "question"
},
"body": "<p>I have Windows 2003 server and i bought a new Windows 2008 server...",
"title": "Whats the best way to file transfer my site from server to a newer one?",
"tags": [
"windows-server-2003",
"windows-server-2008",
"file-transfer"
]
}
--------------------------------------------------
// CONSOLE
// TEST[continued]
Examples of `answer` documents:
[source,js]
--------------------------------------------------
PUT child_example/_doc/2?routing=1
{
"join": {
"name": "answer",
"parent": "1"
},
"owner": {
"location": "Norfolk, United Kingdom",
"display_name": "Sam",
"id": 48
},
"body": "<p>Unfortunately you're pretty much limited to FTP...",
"creation_date": "2009-05-04T13:45:37.030"
}
PUT child_example/_doc/3?routing=1&refresh
{
"join": {
"name": "answer",
"parent": "1"
},
"owner": {
"location": "Norfolk, United Kingdom",
"display_name": "Troll",
"id": 49
},
"body": "<p>Use Linux...",
"creation_date": "2009-05-05T13:45:37.030"
}
--------------------------------------------------
// CONSOLE
// TEST[continued]
The following request can be built that connects the two together:
[source,js]
--------------------------------------------------
POST child_example/_search?size=0
{
"aggs": {
"top-tags": {
"terms": {
"field": "tags.keyword",
"size": 10
},
"aggs": {
"to-answers": {
"children": {
"type" : "answer" <1>
},
"aggs": {
"top-names": {
"terms": {
"field": "owner.display_name.keyword",
"size": 10
}
}
}
}
}
}
}
}
--------------------------------------------------
// CONSOLE
// TEST[continued]
<1> The `type` points to type / mapping with the name `answer`.
The above example returns the top question tags and per tag the top answer owners.
Possible response:
[source,js]
--------------------------------------------------
{
"took": 25,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped" : 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0.0,
"hits": []
},
"aggregations": {
"top-tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "file-transfer",
"doc_count": 1, <1>
"to-answers": {
"doc_count": 2, <2>
"top-names": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Sam",
"doc_count": 1
},
{
"key": "Troll",
"doc_count": 1
}
]
}
}
},
{
"key": "windows-server-2003",
"doc_count": 1, <1>
"to-answers": {
"doc_count": 2, <2>
"top-names": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Sam",
"doc_count": 1
},
{
"key": "Troll",
"doc_count": 1
}
]
}
}
},
{
"key": "windows-server-2008",
"doc_count": 1, <1>
"to-answers": {
"doc_count": 2, <2>
"top-names": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Sam",
"doc_count": 1
},
{
"key": "Troll",
"doc_count": 1
}
]
}
}
}
]
}
}
}
--------------------------------------------------
// TESTRESPONSE[s/"took": 25/"took": $body.took/]
<1> The number of question documents with the tag `file-transfer`, `windows-server-2003`, etc.
<2> The number of answer documents that are related to question documents with the tag `file-transfer`, `windows-server-2003`, etc.