I've a problem to set the correct filter. My query looks like this:
{
"query" : {
"bool" : {
"must" : [
{
"query_string" : {
"query" : "example~",
"analyzer" : "standard",
"default_operator" : "OR",
"fuzziness" : "AUTO"
}
},
{
"term" : {
"client" : {
"value" : "MyClient",
"boost" : 1
}
}
},
{
"range" : {
"dateCreate" : {
"gte" : "2016-01-01T00:00:00+0200",
"lte" : "2016-12-31T23:59:59+0200"
}
}
},
{
"match" : {
"lang" : "php OR java"
}
}
]
}
},
"size" : 10,
"from" : 0,
"sort" : [
{
"_score" : {
"order" : "desc"
}
}
]
}
The "lang" field is of type text.
My expectation is to get all documents with the given query string and then I want select only the documents which have "PHP" or "Java" in their lang field. The lang fields only contain either "PHP" or "Java" but never both strings so I thought about using an exact matching but I can't got it to work.
The result is actually a list of two documents but with total_count=2510.
One of my documents that doesn't match:
{
"id" : "d3295f18-a033-4934-941a-21a8bef901e8",
"client" : "MyClient",
"lang" : "PHP",
"author" : null,
"dateCreate" : "2016-03-31T00:00:00+0200",
"title" : "Sample document",
"content" : "This is a short text describing the deocument."
}
Yes, the client field is also of type text.
client field must be either of keyword type to use term query or change the query for client from term to match:
{
"match" : {
"client" : {
"query" : "MyClient",
"boost" : 1
}
}
}
Related
I want to do a query, with one field match different values,In SQL it likes:
select * from location where address like '%California%' and address like '%145%';
I tried using must condition array, it contains several phrase match conditions, but its doesnt work!
{
"from" : 0,
"size" : 10,
"query" : {
"bool" : {
"must" : {
"bool" : {
"must" : [ {
"match" : {
"address" : {
"query" : "California",
"type" : "phrase"
}
}
}, {
"match" : {
"address" : {
"query" : "145",
"type" : "phrase"
}
}
} ]
}
}
}
},
"sort" : [ {
"pageRankScore" : {
"order" : "desc",
"unmapped_type" : "double"
}
} ]
}
Thats my code, it only do a match '145', never match 'California'.
My question is: with several values, how to do a fuzzy match in one field?
Help me, thanks a lot!
I've a problem to understand the functionality of the following Elasticsearch (ES 6.4) query:
{
"query" : {
"bool" : {
"should" : [
{
"match" : {
"title" : {
"query" : "example",
"operator" : "AND",
"boost" : 2
}
}
},
{
"multi_match" : {
"type" : "best_fields",
"query" : "example",
"operator" : "AND",
"fields" : [
"author", "content", "tags"
],
"boost" : 1
}
}
],
"must" : [
{
"range" : {
"dateCreate" : {
"gte" : "2000-01-01T00:00:00+0200",
"lte" : "2019-02-12T23:59:59+0200"
}
}
},
{
"term" : {
"client" : {
"value" : "test",
"boost" : 1
}
}
}
]
}
},
"size" : 10,
"from" : 0,
"sort" : [
{
"_score" : {
"order" : "desc"
}
}
]
}
The query is executed successfully but retrieves about 400,000 documents which is the total count of my index. It means that all documents are in the result set. But why? Is this really the correct behavior of the multi_match query?
When I was still using the query_string query, I only got the actual matching documents. That's why I'm a bit surprised.
You're missing minimum_should_match:
"bool" : {
"minimum_should_match": 1, <--- add this
"should" : [
...
below query is fetching result if i give existing record that is fine , but if i change name field from 'John' to 'John1' then still record is fetching.
{
"query" : {
"bool" : {
"must" : [
{ "match" : {"employeeId" : "1234"}},
{ "match" : {"name" : "John"}}
]
}
}
}
I tried another alternative query as well but still giving result.which query is correct in terms of performance?but both are giving results if i change name record from 'John' to 'John1'
{
"filter": {
"bool" : {
"must" : {
"term" : {
"employeeId" : "1234"
}
}
}
},
"query": {
"match" : {
"name" : {
"query" : "John",
"type" : "phrase"
}
}
}
}
This because you are doing match, if you want do exact search you need to use filter
Notice we assuce the mapping of name column is analyzed
{
"query" :{
"filtered" : {
"filter" : {
"bool" : {
"must" : [
{ "term" : {"employeeId" : "1234"}},
{ "term" : {"name" : "john"}}
]
}
}
}
}
}
I'm having some trouble turning a match_phrase query into a multi_match query for multiple fields. My original query:
{
"from" : 0,
"size" : 50,
"query" : {
"filtered" : {
"query" : {
"match_phrase" : {
"metadata.description" : "Search Terms"
}
},
"filter" : {
"bool" : {
"must" : [ {
"terms" : {
"collectionId" : [ "1", "2" ]
}
} ]
}
}
}
}
}
Returns results correctly, but when I rewrite the match_phrase piece as a multi_match to run against multiple fields:
{
"from" : 0,
"size" : 50,
"query" : {
"filtered" : {
"query" : {
"multi_match" : {
"query" : "Search Terms",
"fields" : [ "metadata.description", "metadata.title" ],
"type" : "phrase"
}
},
"filter" : {
"bool" : {
"must" : [ {
"terms" : {
"collectionId" : [ "1", "2" ]
}
} ]
}
}
}
}
}
I am not getting any results. Is there anything obvious I am doing wrong here?
EDIT:
It must be something to do with the filter, as
{
"from" : 0,
"size" : 50,
"query" : {
"match_phrase" : {
"metadata.description" : "Search Terms"
}
}
}
and
{
"from" : 0,
"size" : 50,
"query" : {
"multi_match" : {
"query" : "Search Terms",
"fields" : [ "metadata.description", "metadata.title" ],
"type" : "phrase"
}
}
}
both perform as expected.
I am not sure why, exactly, but not using a filtered query, and applying the filter at the top level
{
"from" : 0,
"size" : 50,
"query" : {
"multi_match" : {
"query" : "Search Terms",
"fields" : [ "metadata.description", "metadata.title" ],
"type" : "phrase"
}
},
"filter" : {
"bool" : {
"must" : [ {
"terms" : {
"collectionId" : [ "1", "2" ]
}
} ]
}
}
}
resolves the problem.
I am trying to build on this query a little bit. The index I am searching also has a field "entity" with an id. So a few records will have "entity" : 16, "entity" 156 etc, depending on the id of the entity. I need to expand this query in such a way that I can pass an array or some list of values in, such as {:term => {:entity => [1, 16, 100]}} and get back records that have one of these integers as their entity value. I haven't had any luck so far, can someone help me?
{
"query" : {
"bool" : {
"must" : [
{
"term" : {"user_type" : "alpha"}
},
{
"term" :{"area" : "16"}
}
],
"must_not" : [],
"should" : []
}
},
"filter": {
"or" : [{
"and" : [
{ "term" : { "area" : "16" } },
{ "term" : { "date" : "05072013" } }
]
}, {
"and" : [
{ "term" : { "area" : "16" } },
{ "term" : { "date" : "blank" } }
]
}
]
},
"from" : 0,
"size" : 100
}
Use "terms" instead of "term".
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-filter.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-query.html
{ "terms" : { "entity" : [ 123, 1234, ... ] }}