I am new to elastic search. I have got following document where one of the field "eventId" has "-" in value.
When i try to search with complete value of eventId, i don't get any results.
Sample Document app/event
{
"tags": {}
"eventId": "cc98d57b-c6bc-424c-b54c-df1e3df0d942",
}
I haven't created any explicit settings for my index.
Thanks.
you should check if the tokenizer splits your value into multiple fields. Maybe your value is stored as 5 fields: "cc98d57b", "c6bc", "424c", "b54c" and "df1e3df0d942"
You can analyze that with the 'Kopf' Plugin (https://github.com/lmenezes/elasticsearch-kopf).
If that is your problem you should change your field mapping, so that the value is not analyzed ("index" : "not_analyzed").
For an example how to set that mapping see here: Elasticsearch mapping settings 'not_analyzed' and grouping by field in Java
After that, you should be able to search for your specific value.
Related
recently I made a change to the way ids were being generated in my ES index. Previously, we were generating the ids in the code, using a format like: uuid_WEEKDAY_COUNTRY_TIMESTAMP
I removed this and instead let the value of this field be auto-generated by ES (as i guess it should be)
How can i write a query that checks none of the old-format ids are still being generated? I tried something like
GET /_search
{
"query": {
"query_string": {
"query": "*WEDNESDAY*",
"default_field": "_id"
}
}
}
But got errors saying i can't query _id field, only text or keyword
how can i do this otherwise?
thanks
The _id field is special field handled in elastic search as the ID of the document. It is not indexed field like other text fields, though we can set the value , for documents where we do not specify this field it is actually "generated" based on the UID of the document (see: https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-id-field.html 2.8k).
The drop side of this is that , this field only supports a limited subset of the query functionality. One way to get over this is to add a field called id_field (as a text / keyword) into the document itself and then term queries on this field
I browse to curl -XGET 'http://localhost:9200/<index_name>/_mappings and it returns the fields in an index.
This is one of the field.
{"dob" : { "type": "string", "analyzer" : "my_custom_analyzer"}}
With above response, does this mean DOB field is by default indexed? or index: true has to be explicitly there for this field to be indexed?
It seems you're using a very old version of Elasticsearch, likely 2.x or earlier.
However, based on the mapping you've shared, string fields are indexed by default, in your case, dob is analyzed by a custom analyzer called my_custom_analyzer and the resulting tokens will be indexed automatically.
I'm confused on what index type I should apply for my field for prefix search, many show search_as_you_type but I think auto complete is not what I'm going for.
I have a UUID field:
id: 34y72ca1-3739-41ff-bbec-f6d17479384c
The following terms should return the doc above:
3
34
34y72ca1
34y72ca1-3739
34y72ca1-3739-41ff-bbec-f6d17479384c
Using 3739 should not return it as it doesn't start with 3739. Initially this is what I was going for but then the wildcard field is not supported by Amazon AWS, so I compromise for prefix search instead of partial search.
I tried search_as_you_type field but it doesn't return the result when I use the whole ID. Actually, my use case is when user click enter, the results will be shown, instead of real-live when they type, so if speed is compromised its OK, just that I hope for something that will be good for many rows of data.
Thanks
If you have not explicitly defined any index mapping, then you need to use id.keyword field instead of the id field for the prefix query to show the appropriate results. This uses the keyword analyzer instead of the standard analyzer
{
"query": {
"prefix": {
"id.keyword": {
"value": "34y72ca1"
}
}
}
}
Otherwise, you can modify your index mapping, by adding multi fields for id field
Elasticsearch has documents indexed with the following fields:
{"id":"1", "title":"test", "locale_1_title":"locale_test"}
Given a query, following behaviour is needed at each document level:
1) If locale_1_title field is not empty(""), search only on locale_1_title field. Do not search on title field.
2) If locale_1_title field is empty, search on title field.
What can be a simple elasticsearch query to get the above behaviour ?
Here is mapping of my elastic search
{"MYAPP":{"mappings":{
"XX":{
"_ttl":{"enabled":true},
"properties":{"propX":{"type":"integer"}}
},
"YY":{
"_ttl":{"enabled":true},
"properties":{"propY":{"type":"integer"}}
},
}
}
}
I want execute query like
propX:XYZ AND propY:ABC
The problem is if i do this
propX:XYZ AND propY:ABC
It return nothing, but this
propX:XYZ
return result. I think the problem is propX and propY are two different region thats why using both returns nothing.
Here is my JAVA code:
SearchResponse response = client.prepareSearch("MYAPP")
.setQuery(QueryBuilders.queryString("propX:XYZ AND propY:ABC")).execute()
.actionGet();
According to your mapping, the propX and propY are located in different mapping types.
Assume you follow the index mapping. Each mapping type has it own document, in other word, all document inside type XX only have the propX field. And all document inside type YY only have the propY field.
So there is no document, that have the two fields in the same time and this is why you cannot find any document.