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@@ -10,7 +10,7 @@ For example, lets say we have an index of products, and each product holds the l
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price for the product. The mapping could look like:
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[source,console,id=nested-aggregation-example]
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---------------------------------------------------
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+----
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PUT /products
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{
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"mappings": {
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@@ -18,21 +18,25 @@ PUT /products
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"resellers": { <1>
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"type": "nested",
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"properties": {
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- "reseller": { "type": "text" },
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- "price": { "type": "double" }
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+ "reseller": {
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+ "type": "keyword"
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+ },
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+ "price": {
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+ "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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+----
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<1> `resellers` is an array that holds nested documents.
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The following request adds a product with two resellers:
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[source,console]
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---------------------------------------------------
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-PUT /products/_doc/0
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+----
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+PUT /products/_doc/0?refresh
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{
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"name": "LED TV", <1>
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"resellers": [
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@@ -46,20 +50,22 @@ PUT /products/_doc/0
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}
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]
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}
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---------------------------------------------------
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-// TEST[s/PUT \/products\/_doc\/0/PUT \/products\/_doc\/0\?refresh/]
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+----
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// TEST[continued]
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+
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<1> We are using a dynamic mapping for the `name` attribute.
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The following request returns the minimum price a product can be purchased for:
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[source,console]
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---------------------------------------------------
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-GET /products/_search
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+----
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+GET /products/_search?size=0
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{
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"query": {
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- "match": { "name": "led tv" }
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+ "match": {
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+ "name": "led tv"
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+ }
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},
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"aggs": {
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"resellers": {
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@@ -67,13 +73,17 @@ GET /products/_search
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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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+ "min_price": {
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+ "min": {
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+ "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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}
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---------------------------------------------------
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-// TEST[s/GET \/products\/_search/GET \/products\/_search\?filter_path=aggregations/]
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+----
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+// TEST[s/size=0/size=0&filter_path=aggregations/]
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// TEST[continued]
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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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@@ -82,18 +92,84 @@ Then one can define any type of aggregation over these nested documents.
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Response:
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[source,console-result]
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---------------------------------------------------
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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": 2,
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"min_price": {
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- "value": 350
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+ "value": 350.0
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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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+
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+You can use a <<search-aggregations-bucket-filter-aggregation,`filter`>>
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+sub-aggregation to return results for a specific reseller.
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+
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+[source,console]
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+----
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+GET /products/_search?size=0
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+{
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+ "query": {
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+ "match": {
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+ "name": "led tv"
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+ }
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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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+ "filter_reseller": {
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+ "filter": {
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+ "bool": {
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+ "filter": [
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+ {
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+ "term": {
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+ "resellers.reseller": "companyB"
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+ }
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+ }
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+ ]
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+ }
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+ },
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+ "aggs": {
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+ "min_price": {
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+ "min": {
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+ "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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+ }
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+ }
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+}
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+----
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+// TEST[s/size=0/size=0&filter_path=aggregations/]
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+// TEST[continued]
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+
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+The search returns:
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+
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+[source,console-result]
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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": 2,
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+ "filter_reseller": {
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+ "doc_count": 1,
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+ "min_price": {
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+ "value": 500.0
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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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// TESTRESPONSE[s/\.\.\.//]
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-// TESTRESPONSE[s/: [0-9]+/: $body.$_path/]
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