背景知识见链接：elasticsearch备份与恢复3_使用ES-Hadoop将HDFS数据写入Elasticsearch中

项目参考《Elasticsearch集成Hadoop最佳实践》的tweets2HdfsMapper项目

项目源码：https://gitee.com/constfafa/ESToHDFS.git

开发过程：

1. 先在kibana中查看下索引的信息

"hits": [
      {
        "_index": "xxx-words",
        "_type": "history",
        "_id": "zankHWUBk5wX4tbY-gpZ",
        "_score": 1,
        "_source": {
          "word": "abc",
          "createTime": "2018-08-09 16:56:00",
          "userId": "263",
          "datetime": "2018-08-09T16:56:00Z"
        }
      },
      {
        "_index": "xxx-words",
        "_type": "history",
        "_id": "zqntHWUBk5wX4tbYFAqy",
        "_score": 1,
        "_source": {
          "word": "bcd",
          "createTime": "2018-08-09 16:59:00",
          "userId": "263",
          "datetime": "2018-08-09T16:59:00Z"
        }
      }
    ]

之后直接执行 hadoop jar history2hdfs-job.jar

执行过程如下

[root@docker02 jar]# hadoop jar history2hdfs-job.jar 
18/06/07 04:04:36 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/06/07 04:04:42 INFO client.RMProxy: Connecting to ResourceManager at /192.168.211.104:8032
18/06/07 04:04:48 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
18/06/07 04:04:55 INFO util.Version: Elasticsearch Hadoop v6.2.3 [039a45c5a1]
18/06/07 04:04:58 INFO mr.EsInputFormat: Reading from [hzeg-history-words/history]
18/06/07 04:04:58 INFO mr.EsInputFormat: Created [2] splits
18/06/07 04:05:00 INFO mapreduce.JobSubmitter: number of splits:2
18/06/07 04:05:02 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1528305729734_0007
18/06/07 04:05:05 INFO impl.YarnClientImpl: Submitted application application_1528305729734_0007
18/06/07 04:05:06 INFO mapreduce.Job: The url to track the job: http://docker02:8088/proxy/application_1528305729734_0007/
18/06/07 04:05:06 INFO mapreduce.Job: Running job: job_1528305729734_0007
18/06/07 04:09:31 INFO mapreduce.Job: Job job_1528305729734_0007 running in uber mode : false
18/06/07 04:09:42 INFO mapreduce.Job:  map 0% reduce 0%
18/06/07 04:15:36 INFO mapreduce.Job:  map 100% reduce 0%
18/06/07 04:17:26 INFO mapreduce.Job: Job job_1528305729734_0007 completed successfully
18/06/07 04:17:56 INFO mapreduce.Job: Counters: 47
	File System Counters
		FILE: Number of bytes read=0
		FILE: Number of bytes written=230906
		FILE: Number of read operations=0
		FILE: Number of large read operations=0
		FILE: Number of write operations=0
		HDFS: Number of bytes read=74694
		HDFS: Number of bytes written=222
		HDFS: Number of read operations=8
		HDFS: Number of large read operations=0
		HDFS: Number of write operations=4
	Job Counters 
		Launched map tasks=2
		Rack-local map tasks=2
		Total time spent by all maps in occupied slots (ms)=791952
		Total time spent by all reduces in occupied slots (ms)=0
		Total time spent by all map tasks (ms)=791952
		Total vcore-seconds taken by all map tasks=791952
		Total megabyte-seconds taken by all map tasks=810958848
	Map-Reduce Framework
		Map input records=2
		Map output records=2
		Input split bytes=74694
		Spilled Records=0
		Failed Shuffles=0
		Merged Map outputs=0
		GC time elapsed (ms)=8106
		CPU time spent (ms)=20240
		Physical memory (bytes) snapshot=198356992
		Virtual memory (bytes) snapshot=4128448512
		Total committed heap usage (bytes)=32157696
	File Input Format Counters 
		Bytes Read=0
	File Output Format Counters 
		Bytes Written=222
	Elasticsearch Hadoop Counters
		Bulk Retries=0
		Bulk Retries Total Time(ms)=0
		Bulk Total=0
		Bulk Total Time(ms)=0
		Bytes Accepted=0
		Bytes Received=1102
		Bytes Retried=0
		Bytes Sent=296
		Documents Accepted=0
		Documents Received=0
		Documents Retried=0
		Documents Sent=0
		Network Retries=0
		Network Total Time(ms)=5973
		Node Retries=0
		Scroll Total=1
		Scroll Total Time(ms)=666

后面仍旧报job history server找不到，并不影响

执行下面语句检查文件及数据是否正确

可以看到，最终实现了将索引文件存入HDFS的功能