The shrink index API allows you to shrink an existing index into a new index
with fewer primary shards. The requested number of primary shards in the target index
must be a factor of the number of shards in the source index. For example an index with
8 primary shards can be shrunk into
1 primary shards or an index
15 primary shards can be shrunk into
1. If the number
of shards in the index is a prime number it can only be shrunk into a single
primary shard. Before shrinking, a (primary or replica) copy of every shard
in the index must be present on the same node.
Shrinking works as follows:
- First, it creates a new target index with the same definition as the source index, but with a smaller number of primary shards.
- Then it hard-links segments from the source index into the target index. (If the file system doesn’t support hard-linking, then all segments are copied into the new index, which is a much more time consuming process.)
- Finally, it recovers the target index as though it were a closed index which had just been re-opened.
In order to shrink an index, the index must be marked as read-only, and a
(primary or replica) copy of every shard in the index must be relocated to the
same node and have health
These two conditions can be achieved with the following request:
Forces the relocation of a copy of each shard to the node with name
Prevents write operations to this index while still allowing metadata changes like deleting the index.
It can take a while to relocate the source index. Progress can be tracked
_cat recovery API, or the
cluster health API can be used to wait until all shards have relocated
my_source_index into a new index called
the following request:
The above request returns immediately once the target index has been added to the cluster state — it doesn’t wait for the shrink operation to start.
Indices can only be shrunk if they satisfy the following requirements:
- the target index must not exist
- The index must have more primary shards than the target index.
- 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.
The index must not contain more than
2,147,483,519documents 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.
- The node handling the shrink process must have sufficient free disk space to accommodate a second copy of the existing index.
_shrink API is similar to the
create index API
aliases parameters for the target index:
The number of shards in the target index. This must be a factor of the number of shards in the source index.
Best compression will only take affect when new writes are made to the index, such as when force-merging the shard to a single segment.
Mappings may not be specified in the
_shrink request, and all
index.similarity.* settings will be overwritten with
the settings from the source index.
The shrink process can be monitored with the
_cat recovery API, or the
cluster health API can be used to wait
until all primary shards have been allocated by setting the
_shrink API returns as soon as the target index has been added to the
cluster state, before any shards have been allocated. At this point, all
shards are in the state
unassigned. If, for any reason, the target index
can’t be allocated on the shrink node, its primary shard will remain
unassigned until it can be allocated on that node.
Once the primary shard is allocated, it moves to state
initializing, and the
shrink process begins. When the shrink operation completes, the shard will
active. At that point, Elasticsearch will try to allocate any
replicas and may decide to relocate the primary shard to another node.
Because the shrink operation creates a new index to shrink the shards to, the wait for active shards setting on index creation applies to the shrink index action as well.