Elasticsearch searching issues on string type - json

Question

I'm having an issue with a search on an index. Here's my index creation:
curl -XPUT localhost:9200/my_supder_index -d '{
"mappings":
{
"doctype_I_index":
{
"properties":
{
"field_I_index":
{
"type":"string",
"term_vector":"yes"
}
}
}
}
}'
Here is a sample piece of content in that index:
{
_index:"my_super_index",
_type:"doctype_I_index",
_id:"676078",
_version:1,
found:true,
_source:{
created:"2015-05-02T00:24:03",
field_I_index:[
"21E0",
"19E0",
"5E0",
"6E0",
"4E0"
],
id:676078
}
}
Now when I do a search like this:
curl -XGET 'http://127.0.0.1:9200/my_super_index/_search' -d '{
"sort":[
{
"created":{
"order":"desc"
}
}
],
"query":{
"bool":{
"must":[
{
"terms":{
"field_I_index":[
"21E0"
],
"minimum_should_match":1
}
}
]
}
}
}'
I get zero results. It's not doing a match on the text. Can anyone point me in the right direction please?

Answer 1

On checking how analysis happens for this value , following are results -
curl -XPOST 'localhost:9200/news/_analyze?pretty' -d '21E0'
{
"tokens" : [ {
"token" : "21e0",
"start_offset" : 0,
"end_offset" : 4,
"type" : "<ALPHANUM>",
"position" : 1
} ]
}
Here you can see that the text is lower cased.
Also as term query does not apply analyzer for the search text , it looks for the exact match of 21E0 , but 21e0 is what is indexed.
Hence in this case , if you use match query , instead of term query , it should work.
But i would recommend to use not_analyzed to the field and then use term query on top of that. It might be a better approach.