Hi Bellow Search provides me Log where it has both "value": "HB" and "value": "1234567" as, I am using Term, however, What I am looking for this if this match
("value": "HB" OR "value": "TR" ) AND "value": "1234567"
but not understanding how to do in below,
Can anyone please help me
GET _search
{ "query": { "bool": { "must": [ { "match": {"log.file.path":"mylog.log" } }
{
"term": {
"GPS-LOG.COMMAND": {
"value": "HB"
}
}
},
{
"term": {
"GPS-LOG.IMEI": {
"value": "1234567"
}
}
}
], "filter": {
"range": {
"#timestamp": {
"gte": "now-10m"
}
} }
} }
At first glace, it seems like this should have a simple solution. However, since you are using the term query, you can only search one value at a time. I don't know your mapping but if you are using a text field you shouldn't be using term query.
However, to solve this using the term query, you have to create the OR operator using the minimum_should_match combined with should.
See the following code:
GET _search
{
"query":{
"bool":{
"must":[
{
"match":{
"log.file.path":"mylog.log"
}
},
{
"term":{
"GPS-LOG.IMEI":{
"value":"1234567"
}
}
},
{
"bool":{
"should":[
{
"term":{
"GPS-LOG.COMMAND":{
"value":"HB"
}
}
},
{
"term":{
"GPS-LOG.COMMAND":{
"value":"TR"
}
}
}
],
"minimum_should_match":1
}
}
],
"filter":{
"range":{
"#timestamp":{
"gte":"now-10m"
}
}
}
}
}
}
Related
I am trying to combine match query and range query but its not working properly.
GET file*/_search
{
"query":{
"bool":{
"should":[
{
"match":{
"message":"timeout"
}
},
{
"match":{
"message":"java.lang.IllegalStateException"
}
},
{
"range":{
"#timestamp":{
"gt":"now-1h",
"lte":"now",
"time_zone":"+01:00"
}
}
}
]
}
}
}
Date filter is not working properly here ,am i doing something wrong here?
Thanks
Replace }, with ], and add filter to query. For example:
{
"query": {
"bool": {
"should": [
{ "match":{ "message":"timeout" }},
{ "match":{ "message":"java.lang.IllegalStateException"}}
],
"filter": [
{ "range": { "#timestamp": { "gt": "now-15m", "lte": "now", "time_zone":"+01:00" }}}
]
}
}
}
I want to do multiple text search in same field
for example in sub_cat_seo_url field i want to get 'english-news' and 'business-news' filter by language and region
when i tried like below code it is not working
{
"query":{
"filtered":{
"query":{
"query_string":{
"query":[
"english-news",
"business-news"
],
"fields":[
"sub_cat_seo_url"
]
}
},
"filter":{
"bool":{
"must":[
{
"term":{
"lang":"en"
}
},
{
"term":{
"region":"1"
}
}
]
}
}
}
}
}
For single text search it is working fine
{
"query":{
"filtered":{
"query":{
"query_string":{
"query":"english-news",
"fields":[
"sub_cat_seo_url"
]
}
},
"filter":{
"bool":{
"must":[
{
"term":{
"lang":"en"
}
},
{
"term":{
"region":"1"
}
}
]
}
}
}
}
}
Please help what have to change in my code, to do multi text search in same field (or operation)
Thanks
Thanigaivelan
Try out this
{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "\"english-news\" AND \"business-news\"",
"fields": [
"sub_cat_seo_url"
]
}
},
"filter": {
"bool": {
"must": [
{
"term": {
"lang": "en"
}
},
{
"term": {
"region": "1"
}
}
]
}
}
}
}
}
Say that I query:
POST /story/story/_search
{
"query":{
"bool":{
"should":[
{
"match":{
"termVariations":{
"query":"not driving",
"type":"boolean",
"operator":"AND"
}
}
},
{
"match":{
"termVariations":{
"query":"driving",
"type":"boolean",
"operator":"AND"
}
}
}
]
}
}
}
This query returned by one analyzer or another 3 documents.
How do I tell which should clause was matched? Can Elasticsearch return the matched phrase along with the result?
Thanks!
The best option here would be named queries.
You can name your query and the name of the queries that matched would be provided per document.
{
"query": {
"bool": {
"should": [
{
"match": {
"name.first": {
"query": "qbox",
"_name": "first"
}
}
},
{
"match": {
"name.last": {
"query": "search",
"_name": "last"
}
}
}
]
}
}
}
Thanks #keety! highlight was exactly what I was looking for!! :-)
I'm building up the following search in code, the idea being that it filters down the set of matches then queries this so I can add score based on certain fields. For some reason the filter part works but whatever I put in the query (i.e. in the below I have no index sdfsdfsdf) it still returns anything matching the filter.
Is the syntax wrong?
{
"query":{
"filtered":{
"query":{
"bool":{
"must":{
"match":{
"sdfsdfsdf":{
"query":"4",
"boost":2.0
}
}
}
},
"filter":{
"bool":{
"must":[
{
"terms":{
"_id":[
"55f93ead5df34f1900abc20b",
"55f8ab0226ec4bb216d7c938",
"55dc4e949dcf833308c63d6b"
]
}
},
{
"range":{
"published_date":{
"lte":"now"
}
}
}
],
"must_not":{
"terms":{
"_id":[
"55f0a799acccc28204a5058c"
]
}
}
}
}
}
}
}
}
Your filter is not at the right level. It should not be inside query but at the same level as query like this:
{
"query": {
"filtered": {
"query": { <--- query and filter at the same level
"bool": {
"must": {
"match": {
"sdfsdfsdf": {
"query": "4",
"boost": 2
}
}
}
}
},
"filter": { <--- query and filter at the same level
"bool": {
"must": [
{
"terms": {
"_id": [
"55f93ead5df34f1900abc20b",
"55f8ab0226ec4bb216d7c938",
"55dc4e949dcf833308c63d6b"
]
}
},
{
"range": {
"published_date": {
"lte": "now"
}
}
}
],
"must_not": {
"terms": {
"_id": [
"55f0a799acccc28204a5058c"
]
}
}
}
}
}
}
}
You need to replace sdfsdfsdf with your existing field name in your type, e.g. title, otherwise I think it will fallback to match_all query.
"match":{
"title":{
"query": "some text here",
"boost":2.0
}
}
I've looked back at some queries I have saved, and it appears I've managed to achieve essentially the same query in three different ways. They all return the same data, but which one is 'correct'? I.e., which one contains no superfluous code and is most performant?
Option 1
{
"query":{
"bool":{
"must":[
{
"match":{
"event":"eventname"
}
},
{
"range":{
"#timestamp":{
"gt":"now-70s"
}
}
}
]
}
},
"aggs":{
"myterms":{
"terms":{
"field":"fieldname"
}
}
}
}
Option 2
{
"query":{
"filtered":{
"filter":{
"bool":{
"must":[
{
"match":{
"event":"eventname"
}
},
{
"range":{
"#timestamp":{
"gt":"now-70s"
}
}
}
]
}
}
}
},
"aggs":{
"myterms":{
"terms":{
"field":"fieldname"
}
}
}
}
Option 3
{
"query":{
"filtered":{
"query":{
"bool":{
"must":[
{
"match":{
"event":"eventname"
}
},
{
"range":{
"#timestamp":{
"gt":"now-70s"
}
}
}
]
}
}
}
},
"aggs":{
"myterms":{
"terms":{
"field":"fieldname"
}
}
}
}
If I were to guess, I'd go for Option 2, as the others appear that they might be running match as query. But the documentation is pretty confusing regarding the correct form that DSL queries should take.
Based on your comment, I'd go for option 2 but with a simple term filter for starters instead of match which isn't allowed in filters.
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"event": "eventname"
}
},
{
"range": {
"#timestamp": {
"gt": "now-70s"
}
}
}
]
}
}
}
},
"aggs": {
"myterms": {
"terms": {
"field": "event"
}
}
}
}