Fetching esJsonRDD from elasticsearch with complex filtering in Spark - scala

Question

I am currently fetching the elasticsearch RDD in our Spark Job filtering based on one-line elastic query as such (example):
val elasticRdds = sparkContext.esJsonRDD(esIndex, s"?default_operator=AND&q=director.name:DAVID + \n movie.name:SEVEN")
Now if our search query becomes complex like:
{
"query": {
"filtered": {
"query": {
"query_string": {
"default_operator": "AND",
"query": "director.name:DAVID + \n movie.name:SEVEN"
}
},
"filter": {
"nested": {
"path": "movieStatus.boxoffice.status",
"query": {
"bool": {
"must": [
{
"match": {
"movieStatus.boxoffice.status.rating": "A"
}
},
{
"match": {
"movieStatus.boxoffice.status.oscar": "false"
}
}
]
}
}
}
}
}
}
}
Can I still convert that query to in-line elastic query to use it with esJsonRDD? Or is there anyway that the above query could still be used as is with esJsonRDD?
If not, what is the better way to fetch such RDDs in Spark?
Because esJsonRDD seems to accept only inline(one line) elastic queries.

Answer 1

Use triple quotes:
val query = """{
"query": {
"filtered": {
"query": {
"query_string": {
"default_operator": "AND",
"query": "director.name:DAVID + \n movie.name:SEVEN"
}
},
"filter": {
"nested": {
"path": "movieStatus.boxoffice.status",
"query": {
"bool": {
"must": [
{
"match": {
"movieStatus.boxoffice.status.rating": "A"
}
},
{
"match": {
"movieStatus.boxoffice.status.oscar": "false"
}
}
]
}
}
}
}
}
}
}"""
val elasticRdds = sparkContext.esJsonRDD(esIndex, query)