Query on Elastic Search on multiple criterias - elasticsearch

Question

I have this document in elastic search
{
"_index" : "master",
"_type" : "_doc",
"_id" : "q9IGdXABeXa7ITflapkV",
"_score" : 0.0,
"_source" : {
"customer_acct" : "64876457056",
"ssn_number" : "123456789",
"name" : "Julie",
"city" : "NY"
}
I wanted to query the master index , with the customer_acct and ssn_number to retrive the entire document. I wanted to disable scoring and relevance , I have used the below query
curl -X GET "localhost/master/_search/?pretty" -H 'Content-Type: application/json' -d'
{
"query": {
"term": {
"customer_acct": {
"value":"64876457056"
}
}
}
}'
I need to include the second criteria in the term query as well which is the ssn_number, how would I do that? , I want to turn off scoring and relevance would that be possible, I am new to Elastic Search and how would I fit the second criteria on ssn_number in the above query that I have tried?

Answer 1

First, you need to define the proper mapping of your index. your customer_acct and ssn_number are of numeric type but you are storing it as a string. Also looking at your sample I can see you have to use long to store them. and then you can just use filter context in your query as you don't need score and relevance in your result. Read more about filter context in official ES doc as well as below snippet from the link.
In a filter context, a query clause answers the question “Does this
document match this query clause?” The answer is a simple Yes or
No — no scores are calculated. Filter context is mostly used for
filtering structured data,
which is exactly your use-case.
1. Index Mapping
{
"mappings": {
"properties": {
"customer_acct": {
"type": "long"
},
"ssn_number" :{
"type": "long"
},
"name" : {
"type": "text"
},
"city" :{
"type": "text"
}
}
}
}
2. Index sample docs
{
"name": "Smithe John",
"city": "SF",
"customer_acct": 64876457065,
"ssn_number": 123456790
}
{
"name": "Julie",
"city": "NY",
"customer_acct": 64876457056,
"ssn_number": 123456789
}
3. Main search query to filter without the score
{
"query": {
"bool": {
"filter": [ --> only filter clause
{
"term": {
"customer_acct": 64876457056
}
},
{
"term": {
"ssn_number": 123456789
}
}
]
}
}
}
Above search query gives below result:
{
"took": 186,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.0,
"hits": [
{
"_index": "so-master",
"_type": "_doc",
"_id": "1",
"_score": 0.0, --> notice score is 0.
"_source": {
"name": "Smithe John",
"city": "SF",
"customer_acct": 64876457056,
"ssn_number": 123456789
}
}
]
}
}