I want to search part of query to be considered as phrase .For e.g. I want to search "Can you show me documents for Hospitality and Airline Industry" Here I want Airline Industry to be considered as phrase.I dont find any such settings in multi_match . Even when we try to use multi_match query using "Can you show me documents for Hospitality and \"Airline Industry\"" .Default analyser breaks it into separate tokens.I dont want to change settings of my analyser.Also I have found that we can do this in simple_query_string but that has consequences that we can not apply filter option as we have in multi_match boolean query because I want to apply filter on certain feilds as well.
search_text="Can you show me documents for Hospitality and Airline Industry" Now I Want to pass Airline Industry as a phrase to search my indexed document against 2 fields. okay so say I have existing code like this.
If filter:
qry={
“query":{
“bool”:{
“must”:{
"multi_match":{
"query":search_text,
"type":"best_fields",
"fields":["TITLE1","TEXT"],
"tie_breaker":0.3,
}
},
“filter”:{“terms”:{“GRP_CD”:[“1234”,”5678”] }
}
}
else:
qry={
"query":{
"multi_match":{
"query":search_text',
"type":"best_fields",
"fields":["TITLE1",TEXT"],
"tie_breaker":0.3
}
}
}
'But then I have realised this code is not handling Airline Industry as a phrase even though I am passing search string like this "Can you show me documents for Hospitality and \"Airline Industry\""
As per elastic search document I came to know there is this query which might handle this
qry={"query":{
"simple_query_string":{
"query":"Can you show me documents for Hospitality and \"Airline Industry\"",
"fields":["TITLE1","TEXT"] }
} }
But now my issue is what if user want to apply filter..with filter query as above I can not pass phrase and boolean query is not possible with simple_query_string'
You can always combine queries using boolean query. Lets understand this case by case. Before going to the cases I would like to clarify one thing which is about filter. The filter clause of boolean query behave just like a must clause but the difference is that any query (even another boolean query with a must/should clause(s)) inside filter clause have filter context. Filter context means, that part of query will not be considered for score calculation.
Now lets move on to cases:
{
"query": {
"bool": {
"must": [
{
"simple_query_string": {
"query": "Can you show me documents for Hospitality and \"Airline Industry\"",
"fields": [
"TITLE1",
"TEXT"
]
}
}
]
}
}
}
Notice that the query is same as specified by you in the question. All I have done here is that I wrapped it in a bool query. This doesn't make any logical change to the query but doing so will make it easier to add queries to filter clause programmatically.
{
"query": {
"bool": {
"must": [
{
"simple_query_string": {
"query": "Can you show me documents for Hospitality and \"Airline Industry\"",
"fields": [
"TITLE1",
"TEXT"
]
}
}
],
"filter": [
{
"terms": {
"GRP_CD": [
"1234",
"5678"
]
}
}
]
}
}
}
This way you can combine query(query context) with the filters.