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Filters Aggregation
editFilters Aggregation
editDefines a multi bucket aggregation 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 ] } } ] } } ...
Other
Bucket
editThe other_bucket
parameter can be set to add a bucket to the response which will contain all documents that do
not match any of the given filters. The value of this parameter can be as follows:
-
false
-
Does not compute the
other
bucket -
true
-
Returns the
other
bucket bucket either in a bucket (named_other_
by default) if named filters are being used, or as the last bucket if anonymous filters are being used
The other_bucket_key
parameter can be used to set the key for the other
bucket to a value other than the default _other_
. Setting
this parameter will implicitly set the other_bucket
parameter to true
.
The following snippet shows a response where the other
bucket is requested to be named other_messages
.
{ "aggs" : { "messages" : { "filters" : { "other_bucket_key": "other_messages", "filters" : { "errors" : { "term" : { "body" : "error" }}, "warnings" : { "term" : { "body" : "warning" }} } }, "aggs" : { "monthly" : { "histogram" : { "field" : "timestamp", "interval" : "1M" } } } } } }
The response would be something like the following:
... "aggs" : { "messages" : { "buckets" : { "errors" : { "doc_count" : 34, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } }, "warnings" : { "doc_count" : 439, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } }, "other_messages" : { "doc_count" : 237, "monthly" : { "buckets" : [ ... // the histogram monthly breakdown ] } } } } } } ...