380 lines
11 KiB
Plaintext
380 lines
11 KiB
Plaintext
[chapter]
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[[modules-cross-cluster-search]]
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= Search across clusters
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*{ccs-cap}* lets you run a single search request against one or more
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<<modules-remote-clusters,remote clusters>>. For example, you can use a {ccs} to
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filter and analyze log data stored on clusters in different data centers.
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IMPORTANT: {ccs-cap} requires <<modules-remote-clusters, remote clusters>>.
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[float]
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[[ccs-supported-apis]]
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== Supported APIs
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The following APIs support {ccs}:
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* <<search-search,Search>>
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* <<search-multi-search,Multi search>>
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* <<search-template,Search template>>
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* <<multi-search-template,Multi search template>>
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[float]
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[[ccs-example]]
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== {ccs-cap} examples
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[float]
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[[ccs-remote-cluster-setup]]
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=== Remote cluster setup
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To perform a {ccs}, you must have at least one remote cluster configured.
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The following <<cluster-update-settings,cluster update settings>> API request
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adds three remote clusters:`cluster_one`, `cluster_two`, and `cluster_three`.
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[source,console]
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--------------------------------
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PUT _cluster/settings
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{
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"persistent": {
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"cluster": {
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"remote": {
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"cluster_one": {
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"seeds": [
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"127.0.0.1:9300"
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]
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},
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"cluster_two": {
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"seeds": [
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"127.0.0.1:9301"
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]
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},
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"cluster_three": {
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"seeds": [
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"127.0.0.1:9302"
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]
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}
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}
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}
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}
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}
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--------------------------------
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// TEST[setup:host]
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// TEST[s/127.0.0.1:930\d+/\${transport_host}/]
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[float]
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[[ccs-search-remote-cluster]]
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=== Search a single remote cluster
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The following <<search-search,search>> API request searches the
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`twitter` index on a single remote cluster, `cluster_one`.
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[source,console]
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--------------------------------------------------
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GET /cluster_one:twitter/_search
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{
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"query": {
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"match": {
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"user": "kimchy"
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}
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}
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}
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--------------------------------------------------
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// TEST[continued]
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// TEST[setup:twitter]
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The API returns the following response:
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[source,console-result]
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--------------------------------------------------
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{
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"took": 150,
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"timed_out": false,
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"_shards": {
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"total": 1,
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"successful": 1,
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"failed": 0,
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"skipped": 0
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},
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"_clusters": {
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"total": 1,
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"successful": 1,
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"skipped": 0
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},
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"hits": {
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"total" : {
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"value": 1,
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"relation": "eq"
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},
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"max_score": 1,
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"hits": [
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{
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"_index": "cluster_one:twitter", <1>
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"_type": "_doc",
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"_id": "0",
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"_score": 1,
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"_source": {
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"user": "kimchy",
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"date": "2009-11-15T14:12:12",
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"message": "trying out Elasticsearch",
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"likes": 0
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}
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}
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]
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"took": 150/"took": "$body.took"/]
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// TESTRESPONSE[s/"max_score": 1/"max_score": "$body.hits.max_score"/]
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// TESTRESPONSE[s/"_score": 1/"_score": "$body.hits.hits.0._score"/]
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<1> The search response body includes the name of the remote cluster in the
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`_index` parameter.
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[float]
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[[ccs-search-multi-remote-cluster]]
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=== Search multiple remote clusters
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The following <<search,search>> API request searches the `twitter` index on
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three clusters:
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* Your local cluster
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* Two remote clusters, `cluster_one` and `cluster_two`
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[source,console]
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--------------------------------------------------
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GET /twitter,cluster_one:twitter,cluster_two:twitter/_search
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{
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"query": {
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"match": {
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"user": "kimchy"
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}
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}
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}
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--------------------------------------------------
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// TEST[continued]
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The API returns the following response:
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[source,console-result]
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--------------------------------------------------
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{
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"took": 150,
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"timed_out": false,
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"num_reduce_phases": 4,
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"_shards": {
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"total": 3,
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"successful": 3,
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"failed": 0,
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"skipped": 0
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},
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"_clusters": {
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"total": 3,
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"successful": 3,
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"skipped": 0
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},
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"hits": {
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"total" : {
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"value": 3,
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"relation": "eq"
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},
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"max_score": 1,
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"hits": [
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{
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"_index": "twitter", <1>
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"_type": "_doc",
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"_id": "0",
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"_score": 2,
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"_source": {
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"user": "kimchy",
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"date": "2009-11-15T14:12:12",
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"message": "trying out Elasticsearch",
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"likes": 0
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}
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},
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{
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"_index": "cluster_one:twitter", <2>
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"_type": "_doc",
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"_id": "0",
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"_score": 1,
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"_source": {
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"user": "kimchy",
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"date": "2009-11-15T14:12:12",
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"message": "trying out Elasticsearch",
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"likes": 0
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}
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},
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{
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"_index": "cluster_two:twitter", <3>
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"_type": "_doc",
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"_id": "0",
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"_score": 1,
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"_source": {
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"user": "kimchy",
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"date": "2009-11-15T14:12:12",
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"message": "trying out Elasticsearch",
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"likes": 0
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}
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}
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]
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"took": 150/"took": "$body.took"/]
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// TESTRESPONSE[s/"max_score": 1/"max_score": "$body.hits.max_score"/]
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// TESTRESPONSE[s/"_score": 1/"_score": "$body.hits.hits.0._score"/]
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// TESTRESPONSE[s/"_score": 2/"_score": "$body.hits.hits.1._score"/]
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<1> This document's `_index` parameter doesn't include a cluster name. This
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means the document came from the local cluster.
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<2> This document came from `cluster_one`.
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<3> This document came from `cluster_two`.
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[float]
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[[skip-unavailable-clusters]]
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== Skip unavailable clusters
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By default, a {ccs} returns an error if *any* cluster in the request is
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unavailable.
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To skip an unavailable cluster during a {ccs}, set the
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<<skip-unavailable,`skip_unavailable`>> cluster setting to `true`.
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The following <<cluster-update-settings,cluster update settings>> API request
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changes `cluster_two`'s `skip_unavailable` setting to `true`.
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[source,console]
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--------------------------------
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PUT _cluster/settings
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{
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"persistent": {
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"cluster.remote.cluster_two.skip_unavailable": true
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}
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}
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--------------------------------
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// TEST[continued]
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If `cluster_two` is disconnected or unavailable during a {ccs}, {es} won't
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include matching documents from that cluster in the final results.
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[discrete]
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[[ccs-gateway-seed-nodes]]
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== Selecting gateway and seed nodes in sniff mode
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For remote clusters using the <<sniff-mode,sniff connection>> mode, gateway and
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seed nodes need to be accessible from the local cluster via your network.
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By default, any non-<<master-node,master-eligible>> node can act as a
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gateway node. If wanted, you can define the gateway nodes for a cluster by
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setting `cluster.remote.node.attr.gateway` to `true`.
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For {ccs}, we recommend you use gateway nodes that are capable of serving as
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<<coordinating-node,coordinating nodes>> for search requests. If
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wanted, the seed nodes for a cluster can be a subset of these gateway nodes.
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[discrete]
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[[ccs-proxy-mode]]
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== {ccs} in proxy mode
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<<proxy-mode,Proxy mode>> remote cluster connections support {ccs}. All remote
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connections connect to the configured `proxy_address`. Any desired connection
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routing to gateway or <<coordinating-node,coordinating nodes>> must
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be implemented by the intermediate proxy at this configured address.
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[discrete]
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[[ccs-network-delays]]
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== How {ccs} handles network delays
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Because {ccs} involves sending requests to remote clusters, any network delays
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can impact search speed. To avoid slow searches, {ccs} offers two options for
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handling network delays:
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<<ccs-min-roundtrips,Minimize network roundtrips>>::
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By default, {es} reduces the number of network roundtrips between remote
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clusters. This reduces the impact of network delays on search speed. However,
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{es} can't reduce network roundtrips for large search requests, such as those
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including a <<request-body-search-scroll, scroll>> or
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<<request-body-search-inner-hits,inner hits>>.
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+
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See <<ccs-min-roundtrips>> to learn how this option works.
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<<ccs-unmin-roundtrips, Don't minimize network roundtrips>>:: For search
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requests that include a scroll or inner hits, {es} sends multiple outgoing and
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ingoing requests to each remote cluster. You can also choose this option by
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setting the <<ccs-minimize-roundtrips,`ccs_minimize_roundtrips`>> parameter to
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`false`. While typically slower, this approach may work well for networks with
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low latency.
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+
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See <<ccs-unmin-roundtrips>> to learn how this option works.
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[discrete]
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[[ccs-min-roundtrips]]
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=== Minimize network roundtrips
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Here's how {ccs} works when you minimize network roundtrips.
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. You send a {ccs} request to your local cluster. A coordinating node in that
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cluster receives and parses the request.
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+
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image:images/ccs/ccs-min-roundtrip-client-request.svg[]
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. The coordinating node sends a single search request to each cluster, including
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the local cluster. Each cluster performs the search request independently,
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applying its own cluster-level settings to the request.
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+
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image:images/ccs/ccs-min-roundtrip-cluster-search.svg[]
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. Each remote cluster sends its search results back to the coordinating node.
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+
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image:images/ccs/ccs-min-roundtrip-cluster-results.svg[]
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. After collecting results from each cluster, the coordinating node returns the
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final results in the {ccs} response.
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+
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image:images/ccs/ccs-min-roundtrip-client-response.svg[]
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[discrete]
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[[ccs-unmin-roundtrips]]
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=== Don't minimize network roundtrips
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Here's how {ccs} works when you don't minimize network roundtrips.
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. You send a {ccs} request to your local cluster. A coordinating node in that
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cluster receives and parses the request.
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+
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image:images/ccs/ccs-min-roundtrip-client-request.svg[]
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. The coordinating node sends a <<search-shards,search shards>> API request to
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each remote cluster.
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+
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image:images/ccs/ccs-min-roundtrip-cluster-search.svg[]
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. Each remote cluster sends its response back to the coordinating node.
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This response contains information about the indices and shards the {ccs}
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request will be executed on.
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+
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image:images/ccs/ccs-min-roundtrip-cluster-results.svg[]
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. The coordinating node sends a search request to each shard, including those in
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its own cluster. Each shard performs the search request independently.
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+
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[WARNING]
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====
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When network roundtrips aren't minimized, the search is executed as if all data
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were in the coordinating node's cluster. We recommend updating cluster-level
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settings that limit searches, such as `action.search.shard_count.limit`,
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`pre_filter_shard_size`, and `max_concurrent_shard_requests`, to account for
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this. If these limits are too low, the search may be rejected.
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====
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+
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image:images/ccs/ccs-dont-min-roundtrip-shard-search.svg[]
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. Each shard sends its search results back to the coordinating node.
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+
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image:images/ccs/ccs-dont-min-roundtrip-shard-results.svg[]
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. After collecting results from each cluster, the coordinating node returns the
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final results in the {ccs} response.
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+
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image:images/ccs/ccs-min-roundtrip-client-response.svg[]
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