Downsample index API

Aggregates a time series (TSDS) index and stores pre-computed statistical summaries (min, max, sum, value_count and avg) for each metric field grouped by a configured time interval. For example, a TSDS index that contains metrics sampled every 10 seconds can be downsampled to an hourly index. All documents within an hour interval are summarized and stored as a single document in the downsample index.

resp = client.indices.downsample(
    index="my-time-series-index",
    target_index="my-downsampled-time-series-index",
    config={
        "fixed_interval": "1d"
    },
)
print(resp)

response = client.indices.downsample(
  index: 'my-time-series-index',
  target_index: 'my-downsampled-time-series-index',
  body: {
    fixed_interval: '1d'
  }
)
puts response

const response = await client.indices.downsample({
  index: "my-time-series-index",
  target_index: "my-downsampled-time-series-index",
  config: {
    fixed_interval: "1d",
  },
});
console.log(response);

POST /my-time-series-index/_downsample/my-downsampled-time-series-index
{
    "fixed_interval": "1d"
}

Check the Downsampling documentation for an overview, details about the downsampling process, and examples of running downsampling manually and as part of an ILM policy.