- Java REST Client (deprecated): other versions:
- Overview
- Java High Level REST Client
- Getting started
- Document APIs
- Search APIs
- Async Search APIs
- Miscellaneous APIs
- Index APIs
- Analyze API
- Create Index API
- Delete Index API
- Index Exists API
- Open Index API
- Close Index API
- Shrink Index API
- Split Index API
- Clone Index API
- Refresh API
- Flush API
- Flush Synced API
- Clear Cache API
- Force Merge API
- Rollover Index API
- Update mapping API
- Get Mappings API
- Get Field Mappings API
- Index Aliases API
- Delete Alias API
- Exists Alias API
- Get Alias API
- Update Indices Settings API
- Get Settings API
- Create or update index template API
- Validate Query API
- Get Templates API
- Templates Exist API
- Get Index API
- Freeze Index API
- Unfreeze Index API
- Delete Template API
- Reload Search Analyzers API
- Get Composable Index Templates API
- Create or update composable index template API
- Delete Composable Index Template API
- Optional arguments
- Simulate Index Template API
- Cluster APIs
- Ingest APIs
- Snapshot APIs
- Tasks APIs
- Script APIs
- Licensing APIs
- Machine Learning APIs
- Close anomaly detection jobs API
- Delete anomaly detection jobs API
- Delete anomaly detection jobs from calendar API
- Delete calendar events API
- Delete calendars API
- Delete data frame analytics jobs API
- Delete datafeeds API
- Delete expired data API
- Delete filters API
- Delete forecasts API
- Delete model snapshots API
- Delete trained models API
- Delete trained model alias API
- Estimate anomaly detection job model memory API
- Evaluate data frame analytics API
- Explain data frame analytics API
- Flush jobs API
- Forecast jobs API
- Get anomaly detection jobs API
- Get anomaly detection job stats API
- Get buckets API
- Get calendar events API
- Get calendars API
- Get categories API
- Get data frame analytics jobs API
- Get data frame analytics jobs stats API
- Get datafeeds API
- Get datafeed stats API
- Get filters API
- Get influencers API
- Get machine learning info API
- Get model snapshots API
- Get overall buckets API
- Get records API
- Get trained models API
- Get trained models stats API
- Open anomaly detection jobs API
- Post calendar events API
- Post data API
- Preview datafeeds API
- Create anomaly detection jobs API
- Add anomaly detection jobs to calendar API
- Create calendars API
- Create data frame analytics jobs API
- Create datafeeds API
- Create filters API
- Create trained models API
- Create or update trained model alias API
- Reset anomaly detection jobs API
- Revert model snapshots API
- Set upgrade mode API
- Start data frame analytics jobs API
- Start datafeeds API
- Stop data frame analytics jobs API
- Stop datafeeds API
- Update anomaly detection jobs API
- Update data frame analytics jobs API
- Update datafeeds API
- Update filters API
- Update model snapshots API
- Upgrade job snapshot API
- Migration APIs
- Rollup APIs
- Security APIs
- Create or update user API
- Get Users API
- Delete User API
- Enable User API
- Disable User API
- Change Password API
- Create or update role API
- Get Roles API
- Delete Role API
- Delete Privileges API
- Get Builtin Privileges API
- Get Application Privileges API
- Clear Roles Cache API
- Clear Privileges Cache API
- Clear Realm Cache API
- Clear API Key Cache API
- Clear Service Account Token Cache API
- Authenticate API
- Has Privileges API
- Get User Privileges API
- SSL Certificate API
- Create or update role mapping API
- Get Role Mappings API
- Delete Role Mapping API
- Create Token API
- Invalidate Token API
- Create or update privileges API
- Create API Key API
- Grant API key API
- Get API Key information API
- Invalidate API Key API
- Query API Key information API
- Get Service Accounts API
- Create Service Account Token API
- Delete Service Account Token API
- Get Service Account Credentials API
- Text Structure APIs
- Watcher APIs
- Graph APIs
- CCR APIs
- Index Lifecycle Management APIs
- Snapshot Lifecycle Management APIs
- Create or update snapshot lifecycle policy API
- Delete Snapshot Lifecycle Policy API
- Get Snapshot Lifecycle Policy API
- Start Snapshot Lifecycle Management API
- Stop Snapshot Lifecycle Management API
- Snapshot Lifecycle Management Status API
- Execute Snapshot Lifecycle Policy API
- Execute Snapshot Lifecycle Retention API
- Searchable Snapshots APIs
- Transform APIs
- Enrich APIs
- EQL APIs
- Using Java Builders
- Migration Guide
- License
WARNING: Deprecated in 7.15.0.
The Java REST Client is deprecated in favor of the Java API Client.
X-Pack Graph explore API
editX-Pack Graph explore API
editInitial request
editGraph queries are executed using the explore()
method:
GraphExploreRequest request = new GraphExploreRequest(); request.indices("index1", "index2"); request.useSignificance(false); TermQueryBuilder startingQuery = new TermQueryBuilder("text", "projectx"); Hop hop1 = request.createNextHop(startingQuery); VertexRequest people = hop1.addVertexRequest("participants"); people.minDocCount(1); VertexRequest files = hop1.addVertexRequest("attachment_md5"); files.minDocCount(1); Hop hop2 = request.createNextHop(null); VertexRequest vr2 = hop2.addVertexRequest("participants"); vr2.minDocCount(5); GraphExploreResponse exploreResponse = client.graph().explore(request, RequestOptions.DEFAULT);
In this example we seed the exploration with a query to find messages mentioning the mysterious |
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What we want to discover in these messages are the ids of |
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The next "hop" in the graph exploration is to find the people who have shared several messages with the people or files
discovered in the previous hop (the projectx conspirators). The |
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Finally we call the graph explore API with the GraphExploreRequest object. |
Response
editGraph responses consist of Vertex and Connection objects (aka "nodes" and "edges" respectively):
Collection<Vertex> v = exploreResponse.getVertices(); Collection<Connection> c = exploreResponse.getConnections(); for (Vertex vertex : v) { System.out.println(vertex.getField() + ":" + vertex.getTerm() + " discovered at hop depth " + vertex.getHopDepth()); } for (Connection link : c) { System.out.println(link.getFrom() + " -> " + link.getTo() + " evidenced by " + link.getDocCount() + " docs"); }
Each Vertex is a unique term (a combination of fieldname and term value). The "hopDepth" property tells us at which point in the requested exploration this term was first discovered. |
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Each Connection is a pair of Vertex objects and includes a docCount property telling us how many times these two Vertex terms have been sighted together |
Expanding a client-side Graph
editTypically once an application has rendered an initial GraphExploreResponse as a collection of vertices and connecting lines (graph visualization toolkits such as D3, sigma.js or Keylines help here) the next step a user may want to do is "expand". This involves finding new vertices that might be connected to the existing ones currently shown.
To do this we use the same explore
method but our request contains details about which vertices to expand from and which vertices to avoid re-discovering.
GraphExploreRequest expandRequest = new GraphExploreRequest(); expandRequest.indices("index1", "index2"); Hop expandHop1 = expandRequest.createNextHop(null); VertexRequest fromPeople = expandHop1.addVertexRequest("participants"); for (Vertex vertex : initialVertices) { if (vertex.getField().equals("participants")) { fromPeople.addInclude(vertex.getTerm(), 1f); } } Hop expandHop2 = expandRequest.createNextHop(null); VertexRequest newPeople = expandHop2.addVertexRequest("participants"); for (Vertex vertex : initialVertices) { if (vertex.getField().equals("participants")) { newPeople.addExclude(vertex.getTerm()); } } GraphExploreResponse expandResponse = client.graph().explore(expandRequest, RequestOptions.DEFAULT);
Unlike the initial request we do not need to pass a starting query |
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In the first hop which represents our "from" vertices we explicitly list the terms that we already have on-screen and want to expand by using the |
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When defining the second hop which represents the "to" vertices we hope to discover we explicitly list the terms that we already know about using the |