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Date histogram aggregations
The date_histogram aggregation uses date math to generate histograms for time-series data.
For example, you can find how many hits your website gets per month:
GET opensearch_dashboards_sample_data_logs/_search
{
"size": 0,
"aggs": {
"logs_per_month": {
"date_histogram": {
"field": "@timestamp",
"interval": "month"
}
}
}
}
Example response
...
"aggregations" : {
"logs_per_month" : {
"buckets" : [
{
"key_as_string" : "2020-10-01T00:00:00.000Z",
"key" : 1601510400000,
"doc_count" : 1635
},
{
"key_as_string" : "2020-11-01T00:00:00.000Z",
"key" : 1604188800000,
"doc_count" : 6844
},
{
"key_as_string" : "2020-12-01T00:00:00.000Z",
"key" : 1606780800000,
"doc_count" : 5595
}
]
}
}
}
The response has three months worth of logs. If you graph these values, you can see the peak and valleys of the request traffic to your website month over month.