I have a schema in elastic search of this form:
{
"index1" : {
"mappings" : {
"properties" : {
"key1" : {
"type" : "keyword"
},
"key2" : {
"type" : "keyword"
},
"key3" : {
"properties" : {
"components" : {
"type" : "nested",
"properties" : {
"sub1" : {
"type" : "keyword"
},
"sub2" : {
"type" : "keyword"
},
"sub3" : {
"type" : "keyword"
}
}
}
}
}
}
}
}
}
and then the data stored in elastic search would be of the format:
{
"_index" : "index1",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"key1" : "val1",
"key2" : "val2",
"key3" : {
components : [
{
"sub1" : "subval11",
"sub3" : "subval13"
},
{
"sub1" : "subval21",
"sub2" : "subval22",
"sub3" : "subval23"
},
{
"sub1" : "subval31",
"sub2" : "subval32",
"sub3" : "subval33"
}
]
}
}
}
As you can see that the sub1, sub2 and sub3 might not be present in few of the objects under key3.
Now if I try to write a query to fetch the result based on key3.sub2 as subval22 using this query
GET index1/_search
{
"query": {
"nested": {
"path": "components",
"query": {
"bool": {
"must": [
{
"match": {"key3.sub2": "subval22"}
}
]
}
}
}
}
}
I always get the error as
{
"error": {
"root_cause": [
{
"type": "query_shard_exception",
"reason": "failed to create query: {...}",
"index_uuid": "1",
"index": "index1"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "index1",
"node": "1aK..",
"reason": {
"type": "query_shard_exception",
"reason": "failed to create query: {...}",
"index_uuid": "1",
"index": "index1",
"caused_by": {
"type": "illegal_state_exception",
"reason": "[nested] failed to find nested object under path [components]"
}
}
}
]
},
"status": 400
}
I understand that since sub2 is not present in all the objects under components, this error is being thrown. I am looking for a way to search such scenarios such that it matches and finds all the objects in the array. If a value is matched, then this doc should get returned.
Can someone help me to get this working.
You made mistake while defining your schema, below schema works fine, Note I just defined key3 as nested. and changed the nested path to key3
{
"mappings": {
"properties": {
"key1": {
"type": "keyword"
},
"key2": {
"type": "keyword"
},
"key3": {
"type": "nested"
}
}
}
}
{
"key1": "val1",
"key2": "val2",
"key3": {
"components": [ --> this was a diff
{
"sub1": "subval11",
"sub3": "subval13"
},
{
"sub1": "subval21",
"sub2": "subval22",
"sub3": "subval23"
},
{
"sub1": "subval31",
"sub2": "subval32",
"sub3": "subval33"
}
]
}
}
{
"query": {
"nested": {
"path": "key3", --> note this
"query": {
"bool": {
"must": [
{
"match": {
"key3.components.sub2": "subval22" --> note this
}
}
]
}
}
}
}
}
"hits": [
{
"_index": "so_nested_61200509",
"_type": "_doc",
"_id": "2",
"_score": 0.2876821,
"_source": {
"key1": "val1",
"key2": "val2",
"key3": {
"components": [ --> note this
{
"sub1": "subval11",
"sub3": "subval13"
},
{
"sub1": "subval21",
"sub2": "subval22",
"sub3": "subval23"
},
{
"sub1": "subval31",
"sub2": "subval32",
"sub3": "subval33"
}
]
Edit:- Based on the comment from OP, updated sample doc, search query and result.