205 lines
7.7 KiB
Plaintext
205 lines
7.7 KiB
Plaintext
[[indices-split-index]]
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== Split Index
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The split index API allows you to split an existing index into a new index,
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where each original primary shard is split into two or more primary shards in
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the new index.
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The number of times the index can be split (and the number of shards that each
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original shard can be split into) is determined by the
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`index.number_of_routing_shards` setting. The number of routing shards
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specifies the hashing space that is used internally to distribute documents
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across shards with consistent hashing. For instance, a 5 shard index with
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`number_of_routing_shards` set to `30` (`5 x 2 x 3`) could be split by a
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factor of `2` or `3`. In other words, it could be split as follows:
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* `5` -> `10` -> `30` (split by 2, then by 3)
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* `5` -> `15` -> `30` (split by 3, then by 2)
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* `5` -> `30` (split by 6)
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While you can set the `index.number_of_routing_shards` setting explicitly at
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index creation time, the default value depends upon the number of primary
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shards in the original index. The default is designed to allow you to split
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by factors of 2 up to a maximum of 1024 shards. However, the original number
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of primary shards must taken into account. For instance, an index created
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with 5 primary shards could be split into 10, 20, 40, 80, 160, 320, or a
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maximum of 740 shards (with a single split action or multiple split actions).
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If the original index contains one primary shard (or a multi-shard index has
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been <<indices-shrink-index,shrunk>> down to a single primary shard), then the
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index may by split into an arbitrary number of shards greater than 1. The
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properties of the default number of routing shards will then apply to the
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newly split index.
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[float]
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=== How does splitting work?
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Splitting 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 larger 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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* Once the low level files are created all documents will be `hashed` again to delete
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documents that belong to a different shard.
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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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=== Why doesn't Elasticsearch support incremental resharding?
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Going from `N` shards to `N+1` shards, aka. incremental resharding, is indeed a
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feature that is supported by many key-value stores. Adding a new shard and
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pushing new data to this new shard only is not an option: this would likely be
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an indexing bottleneck, and figuring out which shard a document belongs to
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given its `_id`, which is necessary for get, delete and update requests, would
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become quite complex. This means that we need to rebalance existing data using
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a different hashing scheme.
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The most common way that key-value stores do this efficiently is by using
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consistent hashing. Consistent hashing only requires `1/N`-th of the keys to
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be relocated when growing the number of shards from `N` to `N+1`. However
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Elasticsearch's unit of storage, shards, are Lucene indices. Because of their
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search-oriented data structure, taking a significant portion of a Lucene index,
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be it only 5% of documents, deleting them and indexing them on another shard
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typically comes with a much higher cost than with a key-value store. This cost
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is kept reasonable when growing the number of shards by a multiplicative factor
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as described in the above section: this allows Elasticsearch to perform the
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split locally, which in-turn allows to perform the split at the index level
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rather than reindexing documents that need to move, as well as using hard links
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for efficient file copying.
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In the case of append-only data, it is possible to get more flexibility by
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creating a new index and pushing new data to it, while adding an alias that
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covers both the old and the new index for read operations. Assuming that the
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old and new indices have respectively +M+ and +N+ shards, this has no overhead
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compared to searching an index that would have +M+N+ shards.
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[float]
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=== Preparing an index for splitting
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Create a new index:
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[source,js]
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--------------------------------------------------
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PUT my_source_index
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{
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"settings": {
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"index.number_of_shards" : 1
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}
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}
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--------------------------------------------------
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// CONSOLE
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In order to split an index, the index must be marked as read-only,
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and have <<cluster-health,health>> `green`.
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This 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.blocks.write": true <1>
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[continued]
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<1> Prevents write operations to this index while still allowing metadata
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changes like deleting the index.
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[float]
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=== Splitting an index
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To split `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/_split/my_target_index
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{
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"settings": {
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"index.number_of_shards": 2
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[continued]
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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 split operation to start.
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[IMPORTANT]
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=====================================
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Indices can only be split if they satisfy the following requirements:
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* the target index must not exist
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* The source index must have fewer 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.
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* The node handling the split 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 `_split` 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/_split/my_target_index
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{
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"settings": {
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"index.number_of_shards": 5 <1>
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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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// CONSOLE
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// TEST[s/^/PUT my_source_index\n{"settings": {"index.blocks.write": true, "index.number_of_shards": "1"}}\n/]
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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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NOTE: Mappings may not be specified in the `_split` request.
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[float]
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=== Monitoring the split process
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The split 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 `_split` 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, its primary shard will remain `unassigned` until it
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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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split process begins. When the split 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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[float]
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=== Wait For Active Shards
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Because the split operation creates a new index to split the shards to,
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the <<create-index-wait-for-active-shards,wait for active shards>> setting
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on index creation applies to the split index action as well.
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