Migrating from Rollup to downsampling
editMigrating from Rollup to downsampling
editRollup and downsampling are two different features that allow historical metrics to be rolled up. From a high level rollup is more flexible compared to downsampling, but downsampling is a more robust and easier feature to downsample metrics.
The following aspects of downsampling are easier or more robust:
- No need to schedule jobs. Downsampling is integrated with Index Lifecycle Management (ILM) and Data Stream Lifecycle (DSL).
- No separate search API. Downsampled indices can be accessed via the search api and es|ql.
- No separate rollup configuration. Downsampling uses the time series dimension and metric configuration from the mapping.
It isn’t possible to migrate all rollup usages to downsampling. The main requirement is that the data should be stored in Elasticsearch as time series data stream (TSDS). Rollup usages that basically roll the data up by time and all dimensions can migrate to downsampling.
An example rollup usage that can be migrated to downsampling:
PUT _rollup/job/sensor { "index_pattern": "sensor-*", "rollup_index": "sensor_rollup", "cron": "0 0 * * * *", "page_size": 1000, "groups": { "date_histogram": { "field": "timestamp", "fixed_interval": "60m" }, "terms": { "fields": [ "node" ] } }, "metrics": [ { "field": "temperature", "metrics": [ "min", "max", "sum" ] }, { "field": "voltage", "metrics": [ "avg" ] } ] }
The equivalent time series data stream (TSDS) setup that uses downsampling via DSL:
PUT _index_template/sensor-template { "index_patterns": ["sensor-*"], "data_stream": { }, "template": { "lifecycle": { "downsampling": [ { "after": "1d", "fixed_interval": "1h" } ] }, "settings": { "index.mode": "time_series" }, "mappings": { "properties": { "node": { "type": "keyword", "time_series_dimension": true }, "temperature": { "type": "half_float", "time_series_metric": "gauge" }, "voltage": { "type": "half_float", "time_series_metric": "gauge" }, "@timestamp": { "type": "date" } } } } }
The downsample configuration is included in the above template for a time series data stream (TSDS).
Only the downsampling
part is necessary to enable downsampling, which indicates when to downsample to what fixed interval.
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