es导入大批量数据

要把2.5亿数据导入es中
一开始使用BulkRequestBuilder结果每次跑到60万，es节点就挂了，我也不知道为啥。。。

之后使用BulkProcessor，可以导入
出现问题：
1）一开始将几个字段都默认为索引，没有设置refresh_interval，number_of_replicas参数 ，refresh_interval的默认值为1s，（即每秒更新索引），number_of_replicas每个主分片的副本数，默认值是 1,因此导入非常慢,19个小时才导完

2）之后又新建了一个库，不对这几个字段建索引，设置refresh_interval= -1,（即不更新索引）, “number_of_replicas”: 0, 4小时不到导完 ，但是会发现es中的数据不会实时更新，需要手动刷新一下

3）之后又新建了一个库，对这几个字段建索引，设置refresh_interval= -1,（即不更新索引）, “number_of_replicas”: 0， 4.5个小时导完

由此可见，是否索引字段及索引刷新时间这两个因素相比，索引刷新时间对导入速度影响比较大

#!/usr/bin/env bash

# 建立索引和类型

curl -H 'content-type: application/json' -XPUT \
  -d @- 'http://192.168.88.126:9200/zzz' <

public class Esimport {
    private static TransportClient client= null;

    public static  void importcsv() throws IOException {
        TransportClient client = getClient();
        File f = new File("/home/upsmart/1clean/anu/alles.csv");
        BufferedReader br = new BufferedReader(new FileReader(f));
        String line = null ;
        int count = 0;
        BulkProcessor bulkProcessor = getProcessor();
        while ((line = br.readLine())!=null){
            String[] filedValues = line.split("\t");
            bulkProcessor.add(new IndexRequest("zzz","log",Integer.toString(count++)).source(jsonBuilder()
                .startObject()
                .field("account", filedValues[0])
                .field("path", filedValues[1])
                .field("card", filedValues[2])
                .field("mid", filedValues[3])
                .field("pid", filedValues[4])
                .field("request_time", filedValues[5])
                .field("status", filedValues[6])
                .endObject()));
            if (count % 20000 == 0) {
                System.out.println("==========第"+count+"条");
            }
        }
        bulkProcessor.flush();
        try {
            System.out.println("try");
            bulkProcessor.awaitClose(10, TimeUnit.MINUTES);
            System.out.println("over");
        } catch (InterruptedException e) {
            System.out.println("关闭异常");
        }
        br.close();
    }

     static TransportClient getClient() {
         if (null == client) {
             synchronized (Esimport.class) {
                 if(null == client) {
                     Settings settings = Settings.builder().put("cluster.name", "xiaoyao").put("client.transport.sniff", true).build();
                     try {
                         client = new PreBuiltTransportClient(settings).addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.88.126"),9300));
                     } catch (UnknownHostException e) {
                         e.printStackTrace();
                     }
                 }
             }
         }
         return client;
     }

    public static void main(String[] args) throws IOException {
        System.out.println("开始"+System.currentTimeMillis());
        importcsv();
        System.out.println("结束"+System.currentTimeMillis());

    }

    static  BulkProcessor getProcessor(){
        return BulkProcessor.builder(client, new BulkProcessor.Listener() {
            @Override public void beforeBulk(long executionId, BulkRequest request) {

            }

            @Override
            public void afterBulk(long executionId, BulkRequest request, BulkResponse response) {

            }

            @Override
            public void afterBulk(long executionId, BulkRequest request, Throwable failure) {

            }
        })//设置提交批处理操作的请求阀值数
            .setBulkActions(20000)
            //设置提交批处理操作的操作的请求大小阀值
            .setBulkSize(new ByteSizeValue(500, ByteSizeUnit.MB))
            // 设置刷新索引时间间隔
            .setFlushInterval(TimeValue.timeValueSeconds(30))
            //设置并发处理的线程个数
            .setConcurrentRequests(30)
            //设置回滚策略,等待时间1000ms,retry次数1次
            .setBackoffPolicy(BackoffPolicy.exponentialBackoff(
                TimeValue.timeValueMillis(1000), 1))
            .build();

    }
}

数据导入完成之后刷新数据命令

curl -XPOST  http://192.168.88.126:9200/card_nature/_refresh

数据导入完成之后恢复es索引的刷新周期，并为数据增加一个副本

curl -H "Content-Type: application/json"  -XPUT http://192.168.88.126:9200/zzz/_settings?pretty=true -d \ '{"settings": {"refresh_interval": "5s","number_of_replicas":1}}'