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Filters Aggregation
editFilters Aggregation
editDefines a multi bucket aggregations where each bucket is associated with a filter. Each bucket will collect all documents that match its associated filter.
Example:
{ "aggs" : { "messages" : { "filters" : { "filters" : { "errors" : { "term" : { "body" : "error" }}, "warnings" : { "term" : { "body" : "warning" }} } }, "aggs" : { "monthly" : { "histogram" : { "field" : "timestamp", "interval" : "1M" } } } } } }
In the above example, we analyze log messages. The aggregation will build two collection (buckets) of log messages - one for all those containing an error, and another for all those containing a warning. And for each of these buckets it will break them down by month.
Response:
... "aggs" : { "messages" : { "buckets" : { "errors" : { "doc_count" : 34, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } }, "warnings" : { "doc_count" : 439, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } } } } } } ...
Anonymous filters
editThe filters field can also be provided as an array of filters, as in the following request:
{ "aggs" : { "messages" : { "filters" : { "filters" : [ { "term" : { "body" : "error" }}, { "term" : { "body" : "warning" }} ] }, "aggs" : { "monthly" : { "histogram" : { "field" : "timestamp", "interval" : "1M" } } } } } }
The filtered buckets are returned in the same order as provided in the request. The response for this example would be:
... "aggs" : { "messages" : { "buckets" : [ { "doc_count" : 34, "monthly" : { "buckets : [ ... // the histogram monthly breakdown ] } }, { "doc_count" : 439, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } } ] } } ...