I have an index full of user transactions. credit is the amount of an
individual transaction. To get a list of users with most total credits I
have this working fine
{
"size": 0, // only interested in aggregation info
"aggs": {
"users": {
"terms": {
"field": "user_id",
"order": {
"total_sum.sum": "desc"
}
},
"aggs": {
"total_sum": {
"sum": {
"field": "credit"
}
}
}
}
}
}
which is roughly equivalent in SQL:
SELECT user_id, SUM(credit) FROM index ORDER BY SUM(credit) DESC LIMIT 10;
I'm having problems modifying my ES query to filter by total_sum.sum ,
which in SQL equivalent, it would be:
SELECT player_id, SUM(points) FROM index *HAVING SUM(POINTS) BETWEEN 10 AND
15* ORDER BY SUM(POINTS) DESC LIMIT 10;
My attempts inserting range filters fails in syntax
{
"size": 0,
"aggs": {
"users": {
"terms": {
"field": "user_id",
"order": {
"total_sum.sum": "desc"
}
},
"aggs": {
"having": {
"filter": {
"range": {
"total_sum.sum": {
"gte": 10, "lte": 15
}
}
},
"aggs": {
"total_sum": {
"sum": {
"field": "credit"
}
}
}
}
}
}
}
}
get errors
{
"error": "SearchPhaseExecutionException[Failed to execute phase
[query_fetch], all shards failed; shardFailures ...
[search/phase/query+fetch]]; nested: AggregationExecutionException[terms
aggregation [users] is configured with a sub-aggregation order [total_sum]
but no sub aggregation with this name is configured]; }]",
"status": 500
}
Is such a range filter possible?
-- choonkeat
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