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I have elastic Search data in following format:
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
I need to query elastic search to get all the profiles with is_cricketer = 1 and an OR query over the field for cities.name and name field. ie
( profile.is_cricketer == 1 && (profile.name == 'Abraham' || profile.cities[i].name == 'Nelspruit' ))
To get the profiles with OR query on the fields cities.name and name field for matching query string is as follows and it works a expected:
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
And the Must query to get all the profiles with field is_cricketer = 1 is follows:
{
"must": {
"match": {
"is_cricketer": "1"
}
}
}
Above both queries working fine and i am trying to combine both query as follows:
{
"query": {
"bool": {
"must": {
"match": {
"is_cricketer": "1"
}
},
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}
}
}
which is not returning expected results, its returning all the profiles with is_cricketer = 1 without filtering for name and cities.name.
I also tried to include the should query inside must query as follows:
{
"query": {
"bool": {
"must": [{
"match": {
"is_cricketer": "1"
}
}, {
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}]
}
}
}
But i got following error for the above query:
"Error: [parsing_exception] [should] query malformed, no start_object after query name, with { line=1 & col=64 } at respond (/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:307:15) at checkRespForFailure (/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:266:7) at HttpConnector. (/GitRepo/project/node_modules/elasticsearch/src/lib/connectors/http.js:159:7) at IncomingMessage.bound (/GitRepo/project/node_modules/elasticsearch/node_modules/lodash/dist/lodash.js:729:21) at emitNone (events.js:111:20) at IncomingMessage.emit (events.js:208:7) at endReadableNT (_stream_readable.js:1056:12) at _combinedTickCallback (internal/process/next_tick.js:138:11) at process._tickCallback (internal/process/next_tick.js:180:9)"
How to combine both the queries to get desired result. Any help will be appreciated.
746
must means: Clauses that must match for the document to be included. should means: If these clauses match, they increase the _score ; otherwise, they have no effect. They are simply used to refine the relevance score for each document. Yes you can use multiple filters inside must .
Using must_not tells Elasticsearch that document matches cannot include any of the queries that fall under the must_not clause. should – It would be ideal for the matching documents to include all of the queries in the should clause, but they do not have to be included.
The clause (query) must appear in matching documents. However unlike must the score of the query will be ignored. Filter clauses are executed in filter context, meaning that scoring is ignored and clauses are considered for caching. The clause (query) should appear in the matching document.
You can search nested fields using dot notation that includes the complete path, such as obj1.name . Multi-level nesting is automatically supported, and detected, resulting in an inner nested query to automatically match the relevant nesting level, rather than root, if it exists within another nested query.
if you want a should query inside a must you can use it in the following way
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
... your query here
}
]
}
}
]
}
}
}
This worked for me on ES 6.0.
PUT test1
{
"mappings": {
"type1": {
"properties": {
"cities": {
"type": "nested"
}
}
}
}
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
GET test1/type1/_search
{
"query": {
"bool": {
"must": [
{
"term": {
"is_cricketer": {
"value": 1
}
}
}
],
"should": [
{
"term": {
"name.keyword": {
"value": "Abraham"
}
}
},
{
"nested": {
"path": "cities",
"query": {
"term": {
"cities.name.keyword": {
"value": "Nelspruit"
}
}
}
}
}
]
}
}
}
"hits": {
"total": 2,
"max_score": 2.2685113,
"hits": [
{
"_index": "test1",
"_type": "type1",
"_id": "zgcesWIBVwCaLf8KSuDi",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "stellenbosch"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
},
{
"_index": "test1",
"_type": "type1",
"_id": "eAQesWIBbxh35CpKckEH",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "Rustenburg"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
}
]
}
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