I have created the index
PUT ten2
{
"mappings": {
"documents": {
"properties": {
"title": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
}
}
},"uid": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
}
}
},
"publish_details": {
"type": "nested",
"properties": {
"environment": {
"type": "keyword"
},
"locale": {
"type": "keyword"
},
"time": {
"type": "date"
},
"version": {
"type": "integer"
}
}
}
}
}
}
}
and added documents into it. here is the list of documents:
[{
"_index": "ten2",
"_type": "documents",
"_id": "blt69b62b48bbed1fb6_en-us",
"_source": {
"publish_details": [{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:11:25.276Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
},
{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:11:25.276Z",
"locale": "hi-in",
"user": "bltaadab2f531206e9d",
"version": 1
}
],
"title": "Entry 1",
"uid": "blt69b62b48bbed1fb6"
}
},
{
"_index": "ten2",
"_type": "documents",
"_id": "blt69b62b48bbed1fb6_mr-in",
"_source": {
"publish_details": [{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:12:35.467Z",
"locale": "mr-in",
"user": "bltaadab2f531206e9d",
"version": 1
}],
"title": "Entry 3",
"uid": "blt69b62b48bbed1fb6"
}
},
{
"_index": "ten2",
"_type": "documents",
"_id": "blt4044c5198122a3ed_en-us",
"_source": {
"publish_details": [{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
},{
"environment": "blt603fe91adbdcff6690",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
}],
"title": "Entry 10",
"uid": "blt4044c5198122a3ed"
}
}
]
and I want the following result
[
{
"_index": "ten2",
"_type": "documents",
"_id": "blt4044c5198122a3ed_en-us",
"_source": {
"publish_details": [{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
},{
"environment": "blt603fe91adbdcff6690",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
}],
"title": "Entry 10",
"uid": "blt4044c5198122a3ed"
}
}
]
I am using the following query to get the result
GET ten2/_search
{
"query": {
"bool": {
"must": [{
"bool": {
"must_not": [{
"bool": {
"must": [{
"nested": {
"path": "publish_details",
"query": {
"term": {
"publish_details.environment": "blt603fe91adbdcff66"
}
}
}
}, {
"nested": {
"path": "publish_details",
"query": {
"term": {
"publish_details.locale": "en-us"
}
}
}
}, {
"nested": {
"path": "publish_details",
"query": {
"term": {
"publish_details.locale": "hi-in"
}
}
}
}, {
"nested": {
"path": "publish_details",
"query": {
"term": {
"publish_details.locale": "mr-in"
}
}
}
}]
}
}]
}
}
}
}
}
kindly help me a query to get expected result. First two dicuemtns having same uid only publish_details.locale is different.I am using must query within must_not to get result, currently I am getting all three documents but I want only last one. I have million documwnts.
To know more about Bool queries refer to this official documentation
Adding a working example with your mapping, index data, and with the search query
Search Query:
{
"query": {
"nested": {
"path": "publish_details",
"query": {
"bool": {
"must": [
{
"match": {
"publish_details.locale": "en-us"
}
}
],
"must_not": [
{
"match": {
"publish_details.environment": "blt603fe91adbdcff66"
}
},
{
"match": {
"publish_details.locale": "hi-in"
}
},
{
"match": {
"publish_details.locale": "mr-in"
}
}
]
}
},
"inner_hits": {
}
}
}
}
Search Result :
"hits": [
{
"_index": "test",
"_type": "_doc",
"_id": "3",
"_score": 0.53899646,
"_source": {
"publish_details": [
{
"environment": "blt603fe91adbdcff66",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
},
{
"environment": "blt603fe91adbdcff6690",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
}
],
"title": "Entry 10",
"uid": "blt4044c5198122a3ed"
},
"inner_hits": {
"publish_details": {
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.53899646,
"hits": [
{
"_index": "test",
"_type": "_doc",
"_id": "3",
"_nested": {
"field": "publish_details",
"offset": 1
},
"_score": 0.53899646,
"_source": {
"environment": "blt603fe91adbdcff6690",
"time": "2020-06-24T12:10:46.430Z",
"locale": "en-us",
"user": "bltaadab2f531206e9d",
"version": 1
}
}
]
}
}
}
}
]
To know more about inner hits refer to this documentation
The above query returns only the third document, thus satisfying the conditions of the search query. In the Inner Hits, only one part of the third document is returning, and the part which is matching blt603fe91adbdcff66 is discarded.
Related
I want to get data with different value but same field name in array of object
I have this data with stringFacets array of object contains criteria in elastict search 7.9
{
"took": 2238,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": [{
"stringFacets": [{
"name": "criterion",
"value": "Accès Wifi"
},
{
"name": "criterion",
"value": "Piscine"
}
]
}]
}
I want in my search get documents where stringFacets.name = "criterion" and stringFacets.value = "Piscine" and stringFacets.value = "Accès Wifi"
I tried this but no result
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "stringFacets",
"query": {
"bool": {
"must": [
{
"term": {
"stringFacets.name": "criterion"
}
},
{
"term": {
"stringFacets.value": "Piscine"
}
},
{
"term": {
"stringFacets.value": "Accès Wifi"
}
}
]
}
}
}
}
]
}
}
My mapping
{
"settings": {
"number_of_shards": "1"
},
"mappings": {
"dynamic": false,
"dynamic_templates": [{
"results": {
"mapping": {
"type": "text",
"index": false
},
"path_match": "results.*"
}
}
],
"properties": {
"#version" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"#timestamp" : {
"type" : "date"
},
"booleanFacets": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "boolean"
}
}
},
"stringFacets": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "keyword"
}
}
},
"locationFacets": {
"type": "geo_point"
},
"integerFacets": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "long"
}
}
},
"decimalFacets": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "double"
}
}
},
"datetimeFacets": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "date"
}
}
},
"availabilities": {
"type": "nested",
"properties": {
"start": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss.SSSSSS"
},
"end": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss.SSSSSS"
},
"price": {
"type": "double"
},
"duration": {
"type": "long"
}
}
}
}
}
}
Thanks
The nested type is a specialized version of the object data type that
allows arrays of objects to be indexed in a way that they can be
queried independently of each other.
You are getting 0 results because there is no single object in your sample data that match all three conditions.
You can use inner_hits resulting in an inner nested query to automatically match the relevant nesting level, rather than the root
Modify your query as
{
"query": {
"nested": {
"path": "stringFacets",
"query": {
"bool": {
"should": [
{
"term": {
"stringFacets.name": "criterion"
}
},
{
"term": {
"stringFacets.value": "Piscine"
}
},
{
"term": {
"stringFacets.value": "Accès Wifi"
}
}
],
"minimum_should_match":2
}
},
"inner_hits": {}
}
}
}
Search Result will be
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.8754687,
"hits": [
{
"_index": "66170374",
"_type": "_doc",
"_id": "1",
"_score": 0.8754687,
"_source": {
"stringFacets": [
{
"name": "criterion",
"value": "Accès Wifi"
},
{
"name": "criterion",
"value": "Piscine"
}
]
},
"inner_hits": {
"stringFacets": {
"hits": {
"total": {
"value": 2,
"relation": "eq"
},
"max_score": 0.8754687,
"hits": [
{
"_index": "66170374",
"_type": "_doc",
"_id": "1",
"_nested": {
"field": "stringFacets",
"offset": 0
},
"_score": 0.8754687,
"_source": {
"name": "criterion", // note this
"value": "Accès Wifi"
}
},
{
"_index": "66170374",
"_type": "_doc",
"_id": "1",
"_nested": {
"field": "stringFacets",
"offset": 1
},
"_score": 0.8754687,
"_source": {
"name": "criterion", // note this
"value": "Piscine"
}
}
]
}
}
}
}
]
}
I would like to change the following ElasticSearch so the "should" array will not affect the scoring of the result. I want that the score will be calculated by the "query_string" for the name property only.
how can i achieve that with minimum chnages
GET customers/_search
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "properties.name",
"query": "Joe*"
}
}
],
"should": [
{
"match": {
"properties.role": "admin"
}
},
{
"match": {
"properties.role": "sysop"
}
},
{
"match": {
"properties.role": "client"
}
},
{
"match": {
"properties.status": "public"
}
},
{
"match": {
"properties.status": "public"
}
}
],
"must_not": [
{
"match": {
"properties.status": "hide_from_search_results"
}
},
{
"match": {
"properties.status": "deleted"
}
},
{
"match": {
"properties.status": "banned"
}
},
{
"match": {
"properties.status": "hide_from_search_results"
}
},
{
"match": {
"properties.status": "deleted"
}
},
{
"match": {
"properties.status": "banned"
}
},
{
"match": {
"properties.status": "hide_from_search_results"
}
},
{
"match": {
"properties.status": "deleted"
}
},
{
"match": {
"properties.status": "banned"
}
}
]
}
},
"size": 30,
"sort": [
{
"_score": {
"order": "desc"
}
},
{
"_script": {
"type": "string",
"order": "desc",
"script": {
"lang": "painless",
"source": "return doc['_index'][0] == 'customers' && doc.containsKey('properties.videoCount')?doc['properties.videoCount'].value:0"
}
}
},
{
"_script": {
"type": "string",
"order": "desc",
"script": {
"lang": "painless",
"source": "long timestampNow = new Date().getTime(); return doc['_index'][0] == 'customers' && doc.containsKey('properties.subscriptions.features.allow-application')?(timestampNow < doc['properties.subscriptions.features.first-on-search'].value.getMillis()):false"
}
}
},
{
"_script": {
"type": "string",
"order": "desc",
"script": {
"lang": "painless",
"source": "return doc['_index'][0] == 'customers' && doc.containsKey('properties.videoCount')?doc['properties.videoCount'].value:0"
}
}
}
]
}
You need to use a combination of bool should and filter clause to achieve your required result.
Adding a working example with index data, search query, and search result
Index Data:
{
"properties":{
"name": "Joe",
"role":"sysop"
}
}
{
"properties":{
"name": "Joe",
"role":"admin"
}
}
{
"properties":{
"name": "Joe",
"role":"student"
}
}
Search Query:
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "properties.name",
"query": "Joe*"
}
}
],
"should": [
{
"bool": {
"filter": {
"bool": {
"should": [
{
"match": {
"properties.role": "student"
}
},
{
"match": {
"properties.role": "sysop"
}
}
]
}
}
}
}
]
}
}
}
Search Result:
"hits": [
{
"_index": "65469210",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "admin"
}
}
},
{
"_index": "65469210",
"_type": "_doc",
"_id": "2",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "student"
}
}
},
{
"_index": "65469210",
"_type": "_doc",
"_id": "3",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "sysop"
}
}
}
]
You can even use the Explain API, to know how the score is calculated. Here you can see that the should clauses match have a value of 0.0. Therefore, they do not contribute in the overall scoring of the query.
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_shard": "[65469210][0]",
"_node": "g1iQ5TpzQli7sSx266LDEA",
"_index": "65469210",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "admin"
}
},
"_explanation": {
"value": 1.0,
"description": "sum of:",
"details": [
{
"value": 1.0,
"description": "properties.name:joe*",
"details": []
}
]
}
},
{
"_shard": "[65469210][0]",
"_node": "g1iQ5TpzQli7sSx266LDEA",
"_index": "65469210",
"_type": "_doc",
"_id": "2",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "student"
}
},
"_explanation": {
"value": 1.0,
"description": "sum of:",
"details": [
{
"value": 1.0,
"description": "properties.name:joe*",
"details": []
},
{
"value": 0.0, // note this
"description": "ConstantScore(properties.role:student properties.role:sysop)^0.0",
"details": []
}
]
}
},
{
"_shard": "[65469210][0]",
"_node": "g1iQ5TpzQli7sSx266LDEA",
"_index": "65469210",
"_type": "_doc",
"_id": "3",
"_score": 1.0,
"_source": {
"properties": {
"name": "Joe",
"role": "sysop"
}
},
"_explanation": {
"value": 1.0,
"description": "sum of:",
"details": [
{
"value": 1.0,
"description": "properties.name:joe*",
"details": []
},
{
"value": 0.0, // note this
"description": "ConstantScore(properties.role:student properties.role:sysop)^0.0",
"details": []
}
]
}
}
]
}
}
Use filter, filter just remove documents, and wont affect the score:
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-filter-context.html
Can somebody help me with Alerting Via X-Pack for Energy monitoring system project? The main problem here is I can't collect the 'Value' data from the database, as I want to compare it later with the upper and the lower threshold.
So here is the index:
PUT /test-1
{
"mappings": {
"Test1": {
"properties": {
"Value": {
"type": "integer"
},
"date": {
"type": "date",
"format": "yyyy-MM-dd'T'HH:mm:ss.SSSZ"
},
"UpperThreshold": {
"type": "integer"
},
"LowerThreshold": {
"type": "integer"
}
}
}
}
}
Here is the example of the input:
POST /test-1/Test1
{
"Value": "500",
"date": "2017-06-13T16:20:00.000Z",
"UpperThreshold":"450",
"LowerThreshold": "380"
}
This is my alerting code
{
"trigger": {
"schedule": {
"interval": "10s"
}
},
"input": {
"search": {
"request": {
"search_type": "query_then_fetch",
"indices": [
"logs"
],
"types": [],
"body": {
"query": {
"match": {
"message": "error"
}
}
}
}
}
},
"condition": {
"compare": {
"ctx.payload.hits.total": {
"gt": 0
}
}
},
"actions": {
"send_email": {
"email": {
"profile": "standard",
"to": [
"<account#gmail.com>"
],
"subject": "Watcher Notification",
"body": {
"text": "{{ctx.payload.hits.total}} error logs found"
}
}
}
}
}
Here is the response I got from the alerting plugin
{
"watch_id": "Alerting-Test",
"state": "execution_not_needed",
"_status": {
"state": {
"active": true,
"timestamp": "2017-07-26T15:27:35.497Z"
},
"last_checked": "2017-07-26T15:27:38.625Z",
"actions": {
"logging": {
"ack": {
"timestamp": "2017-07-26T15:27:35.497Z",
"state": "awaits_successful_execution"
}
}
}
},
"trigger_event": {
"type": "schedule",
"triggered_time": "2017-07-26T15:27:38.625Z",
"schedule": {
"scheduled_time": "2017-07-26T15:27:38.175Z"
}
},
"input": {
"search": {
"request": {
"search_type": "query_then_fetch",
"indices": [
"test-1"
],
"types": [
"Test1"
],
"body": {
"query": {
"match_all": {}
}
}
}
}
},
"condition": {
"compare": {
"ctx.payload.hits.hits.0.Value": {
"gt": 450
}
}
},
"metadata": {
"name": "Alerting-Test"
},
"result": {
"execution_time": "2017-07-26T15:27:38.625Z",
"execution_duration": 0,
"input": {
"type": "search",
"status": "success",
"payload": {
"_shards": {
"total": 5,
"failed": 0,
"successful": 5
},
"hits": {
"hits": [
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-22T12:00:00.000Z",
"LowerThreshold": "380",
"Value": "350",
"UpperThreshold": "450"
},
"_id": "AV1-1P3lArbJ1tbnct4e",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-22T18:00:00.000Z",
"LowerThreshold": "380",
"Value": "4100",
"UpperThreshold": "450"
},
"_id": "AV1-1Sq0ArbJ1tbnct4v",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-24T18:00:00.000Z",
"LowerThreshold": "380",
"Value": "450",
"UpperThreshold": "450"
},
"_id": "AV1-1eLJArbJ1tbnct6G",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-23T00:00:00.000Z",
"LowerThreshold": "380",
"Value": "400",
"UpperThreshold": "450"
},
"_id": "AV1-1VUzArbJ1tbnct5A",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-23T12:00:00.000Z",
"LowerThreshold": "380",
"Value": "390",
"UpperThreshold": "450"
},
"_id": "AV1-1X4FArbJ1tbnct5R",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-23T18:00:00.000Z",
"LowerThreshold": "380",
"Value": "390",
"UpperThreshold": "450"
},
"_id": "AV1-1YySArbJ1tbnct5T",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-26T00:00:00.000Z",
"LowerThreshold": "380",
"Value": "4700",
"UpperThreshold": "450"
},
"_id": "AV1-1mflArbJ1tbnct67",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-26T06:00:00.000Z",
"LowerThreshold": "380",
"Value": "390",
"UpperThreshold": "450"
},
"_id": "AV1-1oluArbJ1tbnct7M",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-21T12:00:00.000Z",
"LowerThreshold": "380",
"Value": "400",
"UpperThreshold": "450"
},
"_id": "AV1-1IrZArbJ1tbnct3r",
"_score": 1
},
{
"_index": "test-1",
"_type": "Test1",
"_source": {
"date": "2017-07-21T18:00:00.000Z",
"LowerThreshold": "380",
"Value": "440",
"UpperThreshold": "450"
},
"_id": "AV1-1LwzArbJ1tbnct38",
"_score": 1
}
],
"total": 20,
"max_score": 1
},
"took": 1,
"timed_out": false
},
"search": {
"request": {
"search_type": "query_then_fetch",
"indices": [
"test-1"
],
"types": [
"Test1"
],
"body": {
"query": {
"match_all": {}
}
}
}
}
},
"condition": {
"type": "compare",
"status": "success",
"met": false,
"compare": {
"resolved_values": {
**"ctx.payload.hits.hits.0.Value": null**
}
}
},
"actions": []
},
"messages": []
}
Really appreciate for your help!!
I have the following mapping in ES:
"mappings": {
"products": {
"properties": {
"product": {
"type" : "nested",
"properties": {
"features": {
"type": "nested"
},
"sitedetails": {
"type": "nested"
}
}
}
}
}
}
and then 3 products like this:
"hits": [
{
"_index": "catalog",
"_type": "products",
"_id": "AVNE8F4mFYOWvB4rMqdO",
"_score": 1,
"_source": {
"product": {
"ean": "abc",
"features": {
"productType": "DVD player"
},
"color": "Black",
"manufacturer": "Sony",
"sitedetails": [
{
"name": "amazon.com",
"sku": "zzz",
"url": "http://www.amazon.com/dp/zzz"
}
],
"category": "Portable DVD Players"
}
}
},
{
"_index": "catalog",
"_type": "products",
"_id": "AVNE8XkXFYOWvB4rMqdQ",
"_score": 1,
"_source": {
"product": {
"ean": "def",
"features": {
"ProductType": "MP3 player"
},
"color": "Black",
"manufacturer": "LG",
"sitedetails": [
{
"name": "amazon.com",
"sku": "aaa",
"url": "http://www.amazon.com/dp/aaa"
}
],
"category": "MP3 Players"
}
}
},
{
"_index": "catalog",
"_type": "products",
"_id": "AVNIh-xVWwxj6Cz_r8AT",
"_score": 1,
"_source": {
"product": {
"ean": "abc",
"features": {
"productType": "DVD player"
},
"color": "White",
"manufacturer": "Sony",
"sitedetails": [
{
"name": "amazon.com",
"sku": "ggg",
"url": "http://www.amazon.com/dp/ggg"
}
],
"category": "Portable DVD Players"
}
}
}
]
I need to display on the UI side 2 filters, one for Manufacturer and one for website.
How can I aggregate on product.manufacturer and product.sitedetails.name?
tnx!
Figured it out:
GET /catalog/products/_search
{
"aggs": {
"byManufacturer": {
"nested": {
"path": "product"
},
"aggs": {
"byManufacturer": {
"terms": {
"field": "product.manufacturer"
}
}
}
},
"bySeller": {
"nested": {
"path": "product.sitedetails"
},
"aggs": {
"bySeller": {
"terms": {
"field": "product.sitedetails.name"
}
}
}
}
}
}
I tried to get my head wrapped around nested queries but I can't get this to work.
I have 2 items in ES that look like this
{
"_index": "catalog",
"_type": "products",
"_source": {
"product": {
"ean": "abc",
"features": {
"Product Type": "DVD player",
},
"color": "Black",
"manufacturer": "Sony",
"sitedetails": [
{
"name": "amazon.com",
"sku": "zzz",
"url": "http://www.amazon.com/dp/zzz"
}
],
"category": "Portable DVD Players"
}
}
},
{
"_index": "catalog",
"_type": "products",
"_source": {
"product": {
"ean": "def",
"features": {
"Product Type": "MP3 player",
},
"color": "Black",
"manufacturer": "LG",
"sitedetails": [
{
"name": "amazon.com",
"sku": "aaa",
"url": "http://www.amazon.com/dp/aaa"
}
],
"category": "MP3 Players"
}
}
}
2 questions:
What is the curl to get sku = zzz?
What is the curl to get both items on a search for "players"?
tnx!
Heyy bro, lets do the magic.
First , you need an mapping including your nested objects, like this
curl -XPUT "http://192.168.99.100:9200/catalog" -d'
{
"mappings": {
"products": {
"properties": {
"product": {
"type": "nested",
"properties": {
"features": {
"type":"nested"
},
"sitedetails": {
"type": "nested"
}
}
}
}
}
}
}'
After that, lets insert your data (change your Product Type to product_type)
curl -XPOST "http://192.168.99.100:9200/catalog/products" -d'
{
"product": {
"ean": "abc",
"features": {
"product_type": "DVD player"
},
"color": "Black",
"manufacturer": "Sony",
"sitedetails": [
{
"name": "amazon.com",
"sku": "zzz",
"url": "http://www.amazon.com/dp/zzz"
}
],
"category": "Portable DVD Players"
}
}'
Now, lets do the query
curl -XPOST "http://192.168.99.100:9200/catalog/products/_search" -d'
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "product.features",
"query": {
"match": {
"product.features.product_type": "player"
}
}
}
},
{
"nested": {
"path": "product.sitedetails",
"query": {
"match": {
"product.sitedetails.sku": "zzz"
}
}
}
}
]
}
}
}'
And the response will be:
"hits": {
"total": 1,
"max_score": 1.4054651,
"hits": [
{
"_index": "catalog",
"_type": "products",
"_id": "AVM_fcYgvVoSi3OfqPTX",
"_score": 1.4054651,
"_source": {
"product": {
"ean": "abc",
"features": {
"Product Type": "DVD player"
},
"color": "Black",
"manufacturer": "Sony",
"sitedetails": [
{
"name": "amazon.com",
"sku": "zzz",
"url": "http://www.amazon.com/dp/zzz"
}
],
"category": "Portable DVD Players"
}
}
}
]
}
Hope it help :D
Use:
curl 'http://localhost:9200/catalog/products/_search?q=sku:"zzz"&pretty=true'
curl 'http://localhost:9200/catalog/products/_search?q=sku:*&pretty=true'. like my thinking, you want to get data within sku:"zzz" and sku:"aaa".
Referer:
http://joelabrahamsson.com/elasticsearch-101/
http://www.elasticsearchtutorial.com/elasticsearch-in-5-minutes.html