| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114 | [[allocation-awareness]]=== Shard Allocation AwarenessWhen running nodes on multiple VMs on the same physical server, on multipleracks, or across multiple zones or domains, it is more likely that two nodes onthe same physical server, in the same rack, or in the same zone or domain willcrash at the same time, rather than two unrelated nodes crashingsimultaneously.If Elasticsearch is _aware_ of the physical configuration of your hardware, itcan ensure that the primary shard and its replica shards are spread acrossdifferent physical servers, racks, or zones, to minimise the risk of losingall shard copies at the same time.The shard allocation awareness settings allow you to tell Elasticsearch aboutyour hardware configuration.As an example, let's assume we have several racks.  When we start a node, wecan tell it which rack it is in by assigning it an arbitrary metadataattribute called `rack_id` -- we could use any attribute name.  For example:[source,sh]----------------------./bin/elasticsearch -Enode.attr.rack_id=rack_one <1>----------------------<1> This setting could also be specified in the `elasticsearch.yml` config file.Now, we need to set up _shard allocation awareness_  by telling Elasticsearchwhich attributes to use.  This can be configured in the `elasticsearch.yml`file on *all* master-eligible nodes, or it can be set (and changed) with the<<cluster-update-settings,cluster-update-settings>> API.For our example, we'll set the value in the config file:[source,yaml]--------------------------------------------------------cluster.routing.allocation.awareness.attributes: rack_id--------------------------------------------------------With this config in place, let's say we start two nodes with`node.attr.rack_id` set to `rack_one`, and we create an index with 5 primaryshards and 1 replica of each primary.  All primaries and replicas areallocated across the two nodes.Now, if we start two more nodes with `node.attr.rack_id` set to `rack_two`,Elasticsearch will move shards across to the new nodes, ensuring (if possible)that no two copies of the same shard will be in the same rack. However if`rack_two` were to fail, taking down both of its nodes, Elasticsearch willstill allocate the lost shard copies to nodes in `rack_one`. .Prefer local shards*********************************************When executing search or GET requests, with shard awareness enabled,Elasticsearch will prefer using local shards -- shards in the same awarenessgroup -- to execute the request. This is usually faster than crossing betweenracks or across zone boundaries.*********************************************Multiple awareness attributes can be specified, in which case each attributeis considered separately when deciding where to allocate the shards.[source,yaml]-------------------------------------------------------------cluster.routing.allocation.awareness.attributes: rack_id,zone-------------------------------------------------------------NOTE: When using awareness attributes, shards will not be allocated to nodesthat don't have values set for those attributes.NOTE: Number of primary/replica of a shard allocated on a specific group ofnodes with the same awareness attribute value is determined by the number ofattribute values. When the number of nodes in groups is unbalanced and thereare many replicas, replica shards may be left unassigned.[float][[forced-awareness]]=== Forced AwarenessImagine that you have two zones and enough hardware across the two zones tohost all of your primary and replica shards.  But perhaps the hardware in asingle zone, while sufficient to host half the shards, would be unable to host*ALL* the shards.With ordinary awareness, if one zone lost contact with the other zone,Elasticsearch would assign all of the missing replica shards to a single zone.But in this example, this sudden extra load would cause the hardware in theremaining zone to be overloaded.Forced awareness solves this problem by *NEVER* allowing copies of the sameshard to be allocated to the same zone.For example, lets say we have an awareness attribute called `zone`, and weknow we are going to have two zones, `zone1` and `zone2`. Here is how we canforce awareness on a node:[source,yaml]-------------------------------------------------------------------cluster.routing.allocation.awareness.force.zone.values: zone1,zone2 <1>cluster.routing.allocation.awareness.attributes: zone-------------------------------------------------------------------<1> We must list all possible values that the `zone` attribute can have.Now, if we start 2 nodes with `node.attr.zone` set to `zone1` and create anindex with 5 shards and 1 replica. The index will be created, but only the 5primary shards will be allocated (with no replicas). Only when we start morenodes with `node.attr.zone` set to `zone2` will the replicas be allocated.The `cluster.routing.allocation.awareness.*` settings can all be updateddynamically on a live cluster with the<<cluster-update-settings,cluster-update-settings>> API.
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