Elasticsearch Java API – Get Type List from given Index

Elasticsearch Java API - Get Type List from given Index

Elasticsearch Java API – Get Type List from given Index

The following is sample Java program to get the list of type for a given index name in an Elasticsearch instance.

Sample Program:

package com.report.test;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutionException;
import org.elasticsearch.action.admin.indices.mapping.get.GetMappingsRequest;
import org.elasticsearch.action.admin.indices.mapping.get.GetMappingsResponse;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.cluster.metadata.MappingMetaData;
import org.elasticsearch.common.collect.ImmutableOpenMap;
import org.elasticsearch.common.hppc.cursors.ObjectObjectCursor;
import org.elasticsearch.common.settings.ImmutableSettings;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;

public class SampleProgram{
     public static void main(String[] args) {
          String hostname = "localhost";
          String clusterName = "elasticsearch";

          Settings settings = ImmutableSettings.settingsBuilder().put("client.transport.sniff", true).put("cluster.name", clusterName).build();
          Client esclient = new TransportClient(settings).addTransportAddress(new InetSocketTransportAddress(hostname, 9300));

          String index = "game";
          List<String> typeList = new ArrayList<String>();
          try {
               GetMappingsResponse res = esclient.admin().indices().getMappings(new GetMappingsRequest().indices(index)).get();
               ImmutableOpenMap<String, MappingMetaData> mapping = res.mappings().get(index);
               for (ObjectObjectCursor<String, MappingMetaData> c : mapping) {
                   typeList.add(c.key);
               }
          } catch (InterruptedException e) {
               e.printStackTrace();
          } catch (ExecutionException e) {
               e.printStackTrace();
          }

          System.out.println("Type List:");
          for (String type : typeList) {
                System.out.println(type);
          }
     }
}

Sample Output:

Type List:
cricket
football

Related Links: 

Web Application for Elasticsearch :
  1. ElasticTab – Elasticsearch to Excel Report (Web Application)
Elasticsearch Plugin:
  1. Elasticsearch Plugin To Generate (Save and E-Mail) Excel Reports
Elasticsearch:
  1. Execute Multiple Search Query in Elasticsearch
  2. Monitor Elasticsearch Servers with Shell Script - E-Mail Notification
  3. Execute Raw Elasticsearch Query using Transport Client – Java API
  4. Elasticsearch – Apply Nested Filter on Nested (Inner) Aggregation
  5. Execute Multiple Search Query in Elasticsearch
  6. Enable CORS to Send Cross Domain Request to Elasticsearch using AJAX
  7. Elasticsearch Java API – Get Index List
  8. Elasticsearch Java API – Get Alias List
  9. Elasticsearch Java API - Get Type List from given Index
  10. Elasticsearch Java API – Get Field List for a given Index and Type
  11. Elasticsearch Java API – Get Index Type List Mapping
  12. Elasticsearch – Use Script Filter/Conditon in Aggregation/Sub-Aggreagtion
  13. Elasticsearch – Compare/ScriptFilter/Condition on Two Fields using Script Filter – REST Query + Java API
  14. Elasticsearch - Date/Time(String)  Add/Subtract Duration - Days,Months,Years,Hours,Minutes,Seconds
Logstash:
  1. Logstash – Process Log File Once and Exit/Stop Logstash After Reading Log File Once
  2. Measure Logstash Performance using Metrics Filter – Issue/Error in Syntax (Unknown setting ‘message’ for stdout)
  3. Logstash – Process Same Log File (File Input) from Beginning/Start
  4. Create Custom Filter/Plugin to Emit New Events Manually in Logstash
Logstash and Elasticsearch:
  1. Query Elasticsearch Cluster in Filter Section when using Logstash
  2. Custom Elasticsearch Index Name/Type Name based on Events in Logstash
MongoDB and Elasticsearch:
  1. Import Data from Mongo DB to Elasticsearch using Elasticsearch River
 Read More...

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