Hi I am trying to update documents a elasticsearch which meets specific criteria. I am using google sense(chrome extension) for making request. The request that I am making is as shown below:
GET styling_rules2/product_line_filters/_update
{
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{"term":{"product_line_attribute": "brand"}}
],
"minimum_should_match": 1
}
},
"filter": {
"term": {
"product_line_name": "women_skirts"
}
}
}
},
"script" : "ctx._source.brand=brands"
}
sample document is as shown below:
{
"product_line_attribute_db_path": "product_filter.brand",
"product_line_attribute": "brand",
"product_line_name": "women_skirts",
"product_line_attribute_value_list": [
"vero moda",
"faballey",
"only",
"rider republic",
"dorothy perkins"
]
}
desired result: update all the document which has product_line_attribute="brand" and product_line_name="women_skirts" to product_line_attribute="brands".
problem: I am getting the error as follows:
{
"error": {
"root_cause": [
{
"type": "search_parse_exception",
"reason": "failed to parse search source. unknown search element [script]",
"line": 18,
"col": 4
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "styling_rules2",
"node": "2ijp1pXwT46FN4on4-JPlg",
"reason": {
"type": "search_parse_exception",
"reason": "failed to parse search source. unknown search element [script]",
"line": 18,
"col": 4
}
}
]
},
"status": 400
}
thanks in advance!
You should use the _update_by_query endpoint and not _update. Also the script section is not correct, which is probably why you're getting a class_cast_exception.
Try this instead:
POST styling_rules2/product_line_filters/_update_by_query
{
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{
"term": {
"product_line_attribute": "brand"
}
}
],
"minimum_should_match": 1
}
},
"filter": {
"term": {
"product_line_name": "women_skirts"
}
}
}
},
"script": {
"inline": "ctx._source.brand=brands"
}
}
Related
Elasticsearch version
Version: 6.2.2
I'm trying to search multiple indices which both have nested objects. To keep it simple I will use this example. In the query I use "inner_hits" property.
PUT /sales
{
"mappings": {
"_doc" : {
"properties" : {
"tags" : { "type" : "keyword" },
"comments" : {
"type" : "nested",
"properties" : {
"username" : { "type" : "keyword" },
"comment" : { "type" : "text" }
}
}
}
}
}
}
PUT /sales/_doc/1?refresh
{
"tags": ["car", "auto"],
"comments": [
{"username": "baddriver007", "comment": "This car could have better brakes"},
{"username": "dr_who", "comment": "Where's the autopilot? Can't find it"},
{"username": "ilovemotorbikes", "comment": "This car has two extra wheels"}
]
}
PUT /markets
{
"mappings": {
"_doc" : {
"properties" : {
"name" : { "type" : "keyword" },
"products" : {
"type" : "nested",
"properties" : {
"name" : { "type" : "keyword" },
"sku" : { "type" : "text" }
}
}
}
}
}
}
POST /sales,markets/_search
{
"query": {
"bool": {
"should": [
{
"bool": {
"should": [
{
"nested": {
"path": "comments",
"inner_hits": {
},
"ignore_unmapped": true,
"query": {
"match_all": {}
}
}
}]
}
},
{
"bool": {
"should": [
{
"nested": {
"path": "products",
"inner_hits": {
},
"ignore_unmapped": true,
"query": {
"match_all": {}
}
}
}
]
}
}
]
}
}
}
So this query gives an error
{
"error": {
"root_cause": [
{
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [comments]"
},
{
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [products]"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "markets",
"node": "-22psoQNRLa8_Y9GeHBXaw",
"reason": {
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [comments]"
}
},
{
"shard": 0,
"index": "sales",
"node": "-22psoQNRLa8_Y9GeHBXaw",
"reason": {
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [products]"
}
}
]
},
"status": 500
}
But when I add "ignore_unmapped": true inside each "inner_hits": { "ignore_unmapped": true } everything works fine. This is not implemented in NEST .net library.
Is it right to use "ignore_unmapped" inside "inner_hits", because I didn't find this as "inner_hits" property in the documentation ?
Is there any other solution in NEST for this to be done.
UPDATE:
I tried using operator overloading queries and I got
Func<SearchDescriptor<object>, ISearchRequest> search = s => s.Type<object>()
.Index(Indices.Index("sales", "markets"))
.AllTypes()
.Explain(false)
.Query(q => (q
.Nested(n => n
.IgnoreUnmapped(true)
.Path(Infer.Field<SaleDocument>(f => f.Comments))
.InnerHits(ih => ih
.Size(1)
)
.Query(q1 => q1
.MatchAll()
)
) && +q.Terms(t => t
.Field("_index")
.Terms(new[] { "sales" })
)
) || (q
.Nested(n => n
.IgnoreUnmapped(true)
.Path(Infer.Field<MarketDocument>(f => f.Products))
.InnerHits(ih => ih
.Size(1)
)
.Query(q1 => q1
.MatchAll()
)
) && +q.Terms(t => t
.Field("_index")
.Terms(new[] { "markets" })
)
)
);
This code created query
POST /sales,markets/_search
{
"from": 0,
"size": 10,
"explain": false,
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"nested": {
"query": {
"match_all": {}
},
"path": "comments",
"inner_hits": {
"size": 1
},
"ignore_unmapped": true
}
}
],
"filter": [
{
"terms": {
"_index": [
"sales"
]
}
}
]
}
},
{
"bool": {
"must": [
{
"nested": {
"query": {
"match_all": {}
},
"path": "products",
"inner_hits": {
"size": 1
},
"ignore_unmapped": true
}
}
],
"filter": [
{
"terms": {
"_index": [
"markets"
]
}
}
]
}
}
]
}
}
}
Which again gives error
{
"error": {
"root_cause": [
{
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [comments]"
},
{
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [products]"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "markets",
"node": "-22psoQNRLa8_Y9GeHBXaw",
"reason": {
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [comments]"
}
},
{
"shard": 0,
"index": "sales",
"node": "-22psoQNRLa8_Y9GeHBXaw",
"reason": {
"type": "illegal_state_exception",
"reason": "[match_all] no mapping found for type [products]"
}
}
]
},
"status": 500
}
As you say, it looks like inner_hits property is missing within NEST; I'll open an issue to add this for the next release now.
ignore_unmapped is the way to handle this when needing inner_hits. If you didn't need inner_hits, you could combine each nested query with a term query on the "_index" metadata field that targets the respective index name in each case, such that the nested query is run only against the indices that contain the target field.
This issue has been fixed in both places and will be available in some of the future releases of NEST or ElasticSearch.
NEST .net library by adding IgnoreUnmapped() method in InnerHits.
https://github.com/elastic/elasticsearch-net/issues/3132
Elastic Search by inherit ignore_unmapped in inner_hits from nested query ignore_unmapped property
https://github.com/elastic/elasticsearch/issues/29071
below is my query, I want to change score calculation using function_score feature:
{
"size": 1,
"query":{
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {
"messageText": "car"
}
}
]
}
},
"script_score" : {
"script" : "doc['time_views'].values[doc['time_views'].values.length-1]"
}
,
"boost_mode": "replace"
}
},
"from": 0
}
but I got this error response
{
"error": {
"root_cause": [
{
"type": "script_exception",
"reason": "failed to run inline script [doc['time_views'].values[doc['time_views'].values.length-1]] using lang [groovy]"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "datacollection",
"node": "TWeZV3R6Rq-WYQ2YIHjILQ",
"reason": {
"type": "script_exception",
"reason": "failed to run inline script [doc['time_views'].values[doc['time_views'].values.length-1]] using lang [groovy]",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "No field found for [time_views] in mapping with types [message]"
}
}
}
]
},
"status": 500
}
some solutions says using quotation in "doc['time_views']" causes the problem when query has been send from command prompt tools. I don't know why!
I don't use any command prompt tools. I create the query in java code directly
EDIT
this is my index mapping:
"mappings": {
"message": {
"properties": {
"text": {
"type": "string"
},
"time_views": {
"type": "nested",
"properties": {
"backupTimestamp": {
"type": "long"
},
"views": {
"type": "integer"
}
}
}
}
}
}
}
I want to use "views" of last item of "time_views". so I try below scripts too, but each of them throw different error:
"doc['time_views.views'].values[doc['time_views.views'].values.length-1]"
error: java.util.ArrayList cannot be cast to java.lang.Number
"doc['time_views.views'].values[doc['time_views.views'].values.size()-1]"
error: failed to run inline script [doc['time_views.views'].values[doc['time_views.views'].values.size()-1]] using lang [groovy]
"doc['time_views'].values[doc['time_views'].values.size()-1].views"
error: failed to run inline script [doc['time_views'].values[doc['time_views'].values.size()-1].views] using lang [groovy]"
I'm really new in elasticsearch and groovy language. I didn't care about that "time_views" is nested Object, also I don't know syntax of groovy exactly, after some affort I found my mistakes and the solution:
{
"size": 1,
"query":{
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {
"messageText": "car"
}
}
]
}
},
"script_score" : {
"script" : "doc['time_views.views'].values.get(doc['time_views.views'].values.size()-1)"
}
,
"boost_mode": "replace"
}
},
"from": 0
}
It's work as I expected
I can't figure out what's wrong in my ES query.
I want to filter on a specific field, and also sort by other field.
Request:
GET /_search
{
"query" : {
"term": {
"_type" : "monitor"
},
"filtered" : {
"filter" : { "term" : { "ProcessName" : "myProc" }}
}
},
"sort": { "TraceDateTime": { "order": "desc", "ignore_unmapped": "true" }}
}
Response:
{
"error": {
"root_cause": [
{
"type": "parse_exception",
"reason": "failed to parse search source. expected field name but got [START_OBJECT]"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": ".kibana",
"node": "94RPDCjhQh6eoTe6XoRmSg",
"reason": {
"type": "parse_exception",
"reason": "failed to parse search source. expected field name but got [START_OBJECT]"
}
}
]
},
"status": 400
}
You have a syntax error in your query, you need to enclose both of your term queries inside a bool/must compound query, it needs to be like this:
POST /_search
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"ProcessName": "myProc"
}
},
{
"term": {
"_type": "monitor"
}
}
]
}
}
}
},
"sort": {
"TraceDateTime": {
"order": "desc",
"ignore_unmapped": "true"
}
}
}
PS: Always use POST when sending a payload in your query.
This is my query
GET blablabla/_search
{
"query": {
"bool": {
"must": [
{"match" : {"source" : "balblabla"}},
{"match" :{"blablablab" : "JBR"}},
{"match": {"city" : "blab bla"}},
{"match" : {"something": ["Balcony" , "Gym"]}}
]
}
}
}
I am getting this error:
{
"error": {
"root_cause": [
{
"type": "query_parsing_exception",
"reason": "[match] query parsed in simplified form, with direct field name, but included more options than just the field name, possibly use its 'options' form, with 'query' element?",
"index": "index name goes here",
"line": 8,
"col": 35
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "index name goes here",
"node": "4Qjq5UGPSZO2Qtg-ECI_mQ",
"reason": {
"type": "query_parsing_exception",
"reason": "[match] query parsed in simplified form, with direct field name, but included more options than just the field name, possibly use its 'options' form, with 'query' element?",
"index": "index name goes here",
"line": 8,
"col": 35
}
}
]
},
"status": 400
}
When I remove this line
{"match" : {"something": ["Balcony" , "Gym"]}}
It works fine, but why does that line causes a parsing error, since arrays are fine in json?
My elasticsearch version is 2.2
The error comes from the parser, you must specified with an "OR" when passing multiple needles.
to fix your case you must replace
{
"match": {
"something": [
"Balcony",
"Gym"
]
}
}
WITH
{
"match": {
"something": "Balcony OR Gym"
}
}
so at the end it should look like this:
{
"query": {
"bool": {
"must": [
{
"match": {
"source": "balblabla"
}
},
{
"match": {
"blablablab": "JBR"
}
},
{
"match": {
"city": "blab bla"
}
},
{
"match": {
"something": "Balcony OR Gym"
}
}
]
}
}
}
hope this will help you and point you in the right path :)
regards,
Daniel
I'm struggling to build a query where I can do a nested search across a sub-object of a document.
Say I have the following index/mapping:
curl -XPOST "http://localhost:9200/author/" -d '
{
"mappings": {
"item": {
"properties": {
"books": {
"type": "object",
"properties": {
"data": {
"type": "nested"
}
}
}
}
}
}
}
'
And the following 2 documents in the index:
{
"id": 1,
"name": "Robert Louis Stevenson",
"books": {
"count": 2,
"data": [
{
"id": 1,
"label": "Treasure Island"
},
{
"id": 3,
"label": "Dr Jekyll and Mr Hyde"
}
]
}
}
and
{
"id": 2,
"name": "Philip K. Dick",
"books": {
"count": 1,
"data": [
{
"id": 4,
"label": "Do Android Dream of Electric Sheep"
}
]
}
}
I have an array of Book ID's, say [1,4]; how would I write a query which does a keyword search of the author name AND only returns them if they wrote one of the books in the array?
I haven't managed to get a query which doesn't cause some sort of query parse_exception, but as a starting block, here's the current iteration of my query - maybe it's obvious where I'm going wrong?
{
"query": {
"bool": {
"must": {
"match": {
"label": "Louis"
}
}
},
"nested": {
"path": "books.data",
"query": {
"bool": {
"must": {
"terms": {
"books.data.id": [
1,
4
]
}
}
}
}
}
},
"from": 0,
"size": 8
}
In the above scenario I'd like the document for Mr Robert Louis Stevenson to be returned, as his name contains Louis and he wrote book ID 1.
For what it's worth, the current error I get looks like this:
{
"error": {
"root_cause": [
{
"type": "parse_exception",
"reason": "failed to parse search source. expected field name but got [START_OBJECT]"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "author",
"node": "sCk3su4YSnqhvdTGjOztlw",
"reason": {
"type": "parse_exception",
"reason": "failed to parse search source. expected field name but got [START_OBJECT]"
}
}
]
},
"status": 400
}
This makes me feel like I've got my "nested" object all wrong, but the docs suggest that I'm right!
You have it almost right, the nested query must simply be located inside the bool one like in the query below. Also the match query needs to be made on the name field since this is where the author name is stored:
{
"query": {
"bool": {
"must": [
{
"match": {
"name": "Louis"
}
},
{
"nested": {
"path": "books.data",
"query": {
"bool": {
"must": {
"terms": {
"books.data.id": [
1,
4
]
}
}
}
}
}
}
]
}
},
"from": 0,
"size": 8
}