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* Default include_type_name to false for get and put mappings. * Default include_type_name to false for get field mappings. * Add a constant for the default include_type_name value. * Default include_type_name to false for get and put index templates. * Default include_type_name to false for create index. * Update create index calls in REST documentation to use include_type_name=true. * Some minor clean-ups around the get index API. * In REST tests, use include_type_name=true by default for index creation. * Make sure to use 'expression == false'. * Clarify the different IndexTemplateMetaData toXContent methods. * Fix FullClusterRestartIT#testSnapshotRestore. * Fix the ml_anomalies_default_mappings test. * Fix GetFieldMappingsResponseTests and GetIndexTemplateResponseTests. We make sure to specify include_type_name=true during xContent parsing, so we continue to test the legacy typed responses. XContent generation for the typeless responses is currently only covered by REST tests, but we will be adding unit test coverage for these as we implement each typeless API in the Java HLRC. This commit also refactors GetMappingsResponse to follow the same appraoch as the other mappings-related responses, where we read include_type_name out of the xContent params, instead of creating a second toXContent method. This gives better consistency in the response parsing code. * Fix more REST tests. * Improve some wording in the create index documentation. * Add a note about types removal in the create index docs. * Fix SmokeTestMonitoringWithSecurityIT#testHTTPExporterWithSSL. * Make sure to mention include_type_name in the REST docs for affected APIs. * Make sure to use 'expression == false' in FullClusterRestartIT. * Mention include_type_name in the REST templates docs.
78 lines
2.1 KiB
Plaintext
78 lines
2.1 KiB
Plaintext
[[search-aggregations-bucket-nested-aggregation]]
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=== Nested Aggregation
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A special single bucket aggregation that enables aggregating nested documents.
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For example, lets say we have an index of products, and each product holds the list of resellers - each having its own
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price for the product. The mapping could look like:
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[source,js]
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--------------------------------------------------
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PUT /index?include_type_name=true
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{
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"mappings": {
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"product" : {
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"properties" : {
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"resellers" : { <1>
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"type" : "nested",
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"properties" : {
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"name" : { "type" : "text" },
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"price" : { "type" : "double" }
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}
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}
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TESTSETUP
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<1> The `resellers` is an array that holds nested documents under the `product` object.
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The following aggregations will return the minimum price products can be purchased in:
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[source,js]
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--------------------------------------------------
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GET /_search
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{
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"query" : {
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"match" : { "name" : "led tv" }
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},
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"aggs" : {
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"resellers" : {
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"nested" : {
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"path" : "resellers"
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},
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"aggs" : {
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"min_price" : { "min" : { "field" : "resellers.price" } }
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[s/GET \/_search/GET \/_search\?filter_path=aggregations/]
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// TEST[s/^/PUT index\/product\/0\?refresh\n{"name":"led", "resellers": [{"name": "foo", "price": 350.00}, {"name": "bar", "price": 500.00}]}\n/]
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As you can see above, the nested aggregation requires the `path` of the nested documents within the top level documents.
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Then one can define any type of aggregation over these nested documents.
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Response:
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[source,js]
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--------------------------------------------------
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{
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...
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"aggregations": {
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"resellers": {
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"doc_count": 0,
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"min_price": {
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"value": 350
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}
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/\.\.\.//]
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// TESTRESPONSE[s/: [0-9]+/: $body.$_path/]
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