- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
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- Starting Elasticsearch
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- Adding nodes to your cluster
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- API conventions
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- Indices APIs
- Create Index
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- Exclude mode settings example
- Classic Token Filter
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- Modules
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- Processors
- Append Processor
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- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- SQL access
- Overview
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- SQL REST API
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- Monitor a cluster
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- X-Pack APIs
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- Definitions
- Secure a cluster
- Overview
- Configuring security
- Encrypting communications in Elasticsearch
- Encrypting communications in an Elasticsearch Docker Container
- Enabling cipher suites for stronger encryption
- Separating node-to-node and client traffic
- Configuring an Active Directory realm
- Configuring a file realm
- Configuring an LDAP realm
- Configuring a native realm
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- Configuring a SAML realm
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- Security files
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- How security works
- User authentication
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- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Auditing security events
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
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- Common Kerberos exceptions
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- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
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- Command line tools
- How To
- Testing
- Glossary of terms
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Cross-cluster search
editCross-cluster search
editCross-cluster search lets you run a single search request against one or more remote clusters. For example, you can use a cross-cluster search to filter and analyze log data stored on clusters in different data centers.
Cross-cluster search requires remote clusters.
Cross-cluster search examples
editRemote cluster setup
editTo perform a cross-cluster search, you must have at least one remote cluster configured.
The following cluster update settings API request
adds three remote clusters:cluster_one
, cluster_two
, and cluster_three
.
PUT _cluster/settings { "persistent": { "cluster": { "remote": { "cluster_one": { "seeds": [ "127.0.0.1:9300" ] }, "cluster_two": { "seeds": [ "127.0.0.1:9301" ] }, "cluster_three": { "seeds": [ "127.0.0.1:9302" ] } } } } }
Search a single remote cluster
editThe following search API request searches the
twitter
index on a single remote cluster, cluster_one
.
GET /cluster_one:twitter/_search { "query": { "match": { "user": "kimchy" } } }
The API returns the following response:
{ "took": 150, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0, "skipped": 0 }, "_clusters": { "total": 1, "successful": 1, "skipped": 0 }, "hits": { "total" : { "value": 1, "relation": "eq" }, "max_score": 1, "hits": [ { "_index": "cluster_one:twitter", "_type": "_doc", "_id": "0", "_score": 1, "_source": { "user": "kimchy", "date": "2009-11-15T14:12:12", "message": "trying out Elasticsearch", "likes": 0 } } ] } }
Search multiple remote clusters
editThe following search API request searches the twitter
index on
three clusters:
- Your local cluster
-
Two remote clusters,
cluster_one
andcluster_two
GET /twitter,cluster_one:twitter,cluster_two:twitter/_search { "query": { "match": { "user": "kimchy" } } }
The API returns the following response:
{ "took": 150, "timed_out": false, "num_reduce_phases": 4, "_shards": { "total": 3, "successful": 3, "failed": 0, "skipped": 0 }, "_clusters": { "total": 3, "successful": 3, "skipped": 0 }, "hits": { "total" : { "value": 3, "relation": "eq" }, "max_score": 1, "hits": [ { "_index": "twitter", "_type": "_doc", "_id": "0", "_score": 2, "_source": { "user": "kimchy", "date": "2009-11-15T14:12:12", "message": "trying out Elasticsearch", "likes": 0 } }, { "_index": "cluster_one:twitter", "_type": "_doc", "_id": "0", "_score": 1, "_source": { "user": "kimchy", "date": "2009-11-15T14:12:12", "message": "trying out Elasticsearch", "likes": 0 } }, { "_index": "cluster_two:twitter", "_type": "_doc", "_id": "0", "_score": 1, "_source": { "user": "kimchy", "date": "2009-11-15T14:12:12", "message": "trying out Elasticsearch", "likes": 0 } } ] } }
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Skip unavailable clusters
editBy default, a cross-cluster search returns an error if any cluster in the request is unavailable.
To skip an unavailable cluster during a cross-cluster search, set the
skip_unavailable
cluster setting to true
.
The following cluster update settings API request
changes cluster_two
's skip_unavailable
setting to true
.
PUT _cluster/settings { "persistent": { "cluster.remote.cluster_two.skip_unavailable": true } }
If cluster_two
is disconnected or unavailable during a cross-cluster search, Elasticsearch won’t
include matching documents from that cluster in the final results.
How cross-cluster search works
editBecause cross-cluster search involves sending requests to remote clusters, any network delays can impact search speed. To avoid slow searches, cross-cluster search offers two options for handling network delays:
- Minimize network roundtrips
-
By default, Elasticsearch reduces the number of network roundtrips between remote clusters. This reduces the impact of network delays on search speed. However, Elasticsearch can’t reduce network roundtrips for large search requests, such as those including a scroll or inner hits.
See Minimize network roundtrips to learn how this option works.
- Don’t minimize network roundtrips
-
For search requests that include a scroll or inner hits, Elasticsearch sends multiple outgoing and ingoing requests to each remote cluster. You can also choose this option by setting the search API’s
ccs_minimize_roundtrips
parameter tofalse
. While typically slower, this approach may work well for networks with low latency.See Don’t minimize network roundtrips to learn how this option works.
Minimize network roundtrips
editHere’s how cross-cluster search works when you minimize network roundtrips.
-
You send a cross-cluster search request to your local cluster. A coordinating node in that cluster receives and parses the request.
-
The coordinating node sends a single search request to each cluster, including its own. Each cluster performs the search request independently.
-
Each remote cluster sends its search results back to the coordinating node.
-
After collecting results from each cluster, the coordinating node returns the final results in the cross-cluster search response.
Don’t minimize network roundtrips
editHere’s how cross-cluster search works when you don’t minimize network roundtrips.
-
You send a cross-cluster search request to your local cluster. A coordinating node in that cluster receives and parses the request.
-
The coordinating node sends a search shards API request to each remote cluster.
-
Each remote cluster sends its response back to the coordinating node. This response contains information about the indices and shards the cross-cluster search request will be executed on.
-
The coordinating node sends a search request to each shard, including those in its own cluster. Each shard performs the search request independently.
-
Each shard sends its search results back to the coordinating node.
-
After collecting results from each cluster, the coordinating node returns the final results in the cross-cluster search response.
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