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specification/indices/downsample/Request.ts

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@@ -26,7 +26,7 @@ import { IndexName } from '@_types/common'
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* Aggregate a time series (TSDS) index and store pre-computed statistical summaries (`min`, `max`, `sum`, `value_count` and `avg`) for each metric field grouped by a configured time interval.
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* For example, a TSDS index that contains metrics sampled every 10 seconds can be downsampled to an hourly index.
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* All documents within an hour interval are summarized and stored as a single document in the downsample index.
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*
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*
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* NOTE: Only indices in a time series data stream are supported.
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* Neither field nor document level security can be defined on the source index.
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* The source index must be read only (`index.blocks.write: true`).

specification/indices/shrink/IndicesShrinkRequest.ts

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@@ -56,7 +56,7 @@ import { Duration } from '@_types/Time'
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* * The source index must have more primary shards than the target index.
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* * The number of primary shards in the target index must be a factor of the number of primary shards in the source index. The source index must have more primary shards than the target index.
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* * The index must not contain more than 2,147,483,519 documents in total across all shards that will be shrunk into a single shard on the target index as this is the maximum number of docs that can fit into a single shard.
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* * The node handling the shrink process must have sufficient free disk space to accommodate a second copy of the existing index.
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* * The node handling the shrink process must have sufficient free disk space to accommodate a second copy of the existing index.
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* @doc_id indices-shrink-index
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* @rest_spec_name indices.shrink
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* @availability stack since=5.0.0 stability=stable

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