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Today we allow to shrink to 1 shard but that might not be possible due to too many document or a single shard doesn't meet the requirements for the index. The logic can be expanded to N shards if the source index shards is a multiple of N. This guarantees that there are not hotspots created due to different number of shards being shrunk into one.
139 lines
5.3 KiB
Plaintext
139 lines
5.3 KiB
Plaintext
[[indices-shrink-index]]
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== Shrink Index
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The shrink index API allows you to shrink an existing index into a new index
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with fewer primary shards. The number of primary shards in the target index
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must be a factor of the shards in the source index. For example an index with
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`8` primary shards can be shrunk into `4`, `2` or `1` primary shards or an index
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with `15` primary shards can be shrunk into `5`, `3` or `1`. If the number
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of shards in the index is a prime number it can only be shrunk into a single
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primary shard. Before shrinking, a (primary or replica) copy of every shard
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in the index must be present on the same node.
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Shrinking works as follows:
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* First, it creates a new target index with the same definition as the source
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index, but with a smaller number of primary shards.
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* Then it hard-links segments from the source index into the target index. (If
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the file system doesn't support hard-linking, then all segments are copied
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into the new index, which is a much more time consuming process.)
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* Finally, it recovers the target index as though it were a closed index which
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had just been re-opened.
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[float]
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=== Preparing an index for shrinking
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In order to shrink an index, the index must be marked as read-only, and a
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(primary or replica) copy of every shard in the index must be relocated to the
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same node and have <<cluster-health,health>> `green`.
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These two conditions can be achieved with the following request:
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[source,js]
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--------------------------------------------------
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PUT /my_source_index/_settings
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{
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"settings": {
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"index.routing.allocation.require._name": "shrink_node_name", <1>
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"index.blocks.write": true <2>
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}
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}
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--------------------------------------------------
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<1> Forces the relocation of a copy of each shard to the node with name
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`shrink_node_name`. See <<shard-allocation-filtering>> for more options.
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<2> Prevents write operations to this index while still allowing metadata
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changes like deleting the index.
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It can take a while to relocate the source index. Progress can be tracked
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with the <<cat-recovery,`_cat recovery` API>>, or the <<cluster-health,
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`cluster health` API>> can be used to wait until all shards have relocated
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with the `wait_for_relocating_shards` parameter.
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[float]
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=== Shrinking an index
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To shrink `my_source_index` into a new index called `my_target_index`, issue
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the following request:
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[source,js]
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--------------------------------------------------
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POST my_source_index/_shrink/my_target_index
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--------------------------------------------------
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The above request returns immediately once the target index has been added to
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the cluster state -- it doesn't wait for the shrink operation to start.
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[IMPORTANT]
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=====================================
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Indices can only be shrunk if they satisfy the following requirements:
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* the target index must not exist
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* The 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
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number of primary shards in the source index. must have more primary shards
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than the target index.
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* The index must not contain more than `2,147,483,519` documents in total
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across all shards that will be shrunk into a single shard on the target index
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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
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accommodate a second copy of the existing index.
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=====================================
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The `_shrink` API is similar to the <<indices-create-index, `create index` API>>
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and accepts `settings` and `aliases` parameters for the target index:
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[source,js]
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--------------------------------------------------
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POST my_source_index/_shrink/my_target_index
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{
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"settings": {
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"index.number_of_replicas": 1,
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"index.number_of_shards": 1, <1>
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"index.codec": "best_compression" <2>
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},
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"aliases": {
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"my_search_indices": {}
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}
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}
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--------------------------------------------------
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<1> The number of shards in the target index. This must be a factor of the
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number of shards in the source index.
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<2> Best compression will only take affect when new writes are made to the
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index, such as when <<indices-forcemerge,force-merging>> the shard to a single
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segment.
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NOTE: Mappings may not be specified in the `_shrink` request, and all
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`index.analysis.*` and `index.similarity.*` settings will be overwritten with
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the settings from the source index.
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[float]
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=== Monitoring the shrink process
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The shrink process can be monitored with the <<cat-recovery,`_cat recovery`
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API>>, or the <<cluster-health, `cluster health` API>> can be used to wait
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until all primary shards have been allocated by setting the `wait_for_status`
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parameter to `yellow`.
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The `_shrink` API returns as soon as the target index has been added to the
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cluster state, before any shards have been allocated. At this point, all
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shards are in the state `unassigned`. If, for any reason, the target index
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can't be allocated on the shrink node, its primary shard will remain
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`unassigned` until it can be allocated on that node.
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Once the primary shard is allocated, it moves to state `initializing`, and the
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shrink process begins. When the shrink operation completes, the shard will
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become `active`. At that point, Elasticsearch will try to allocate any
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replicas and may decide to relocate the primary shard to another node.
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