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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
]
}
}
]
}
}
...