elasticsearch备份与恢复4_使用ES-Hadoop将ES中的索引数据写入HDFS中

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

自己在实际使用中遇到了下面的几个问题

1. spring boot gradle项目为了使用此功能，加入如下依赖后，

compile group: 'org.apache.hadoop', name: 'hadoop-core', version: '1.2.1'
compile group: 'org.apache.hadoop', name: 'hadoop-hdfs', version: '2.7.2'
compile group: 'org.elasticsearch', name: 'elasticsearch-hadoop', version: '6.2.4'

发现spring boot启动报错A child container failed during start

查看gradle dependency

其中hadoop-core:1.2.1

+--- org.apache.hadoop:hadoop-core:1.2.1
|    +--- commons-cli:commons-cli:1.2
|    +--- xmlenc:xmlenc:0.52
|    +--- com.sun.jersey:jersey-core:1.8 -> 1.9
|    +--- com.sun.jersey:jersey-json:1.8
|    |    +--- org.codehaus.jettison:jettison:1.1
|    |    |    \--- stax:stax-api:1.0.1
|    |    +--- com.sun.xml.bind:jaxb-impl:2.2.3-1
|    |    |    \--- javax.xml.bind:jaxb-api:2.2.2 -> 2.3.0
|    |    +--- org.codehaus.jackson:jackson-core-asl:1.7.1 -> 1.9.13
|    |    +--- org.codehaus.jackson:jackson-mapper-asl:1.7.1 -> 1.9.13
|    |    |    \--- org.codehaus.jackson:jackson-core-asl:1.9.13
|    |    +--- org.codehaus.jackson:jackson-jaxrs:1.7.1
|    |    |    +--- org.codehaus.jackson:jackson-core-asl:1.7.1 -> 1.9.13
|    |    |    \--- org.codehaus.jackson:jackson-mapper-asl:1.7.1 -> 1.9.13 (*)
|    |    +--- org.codehaus.jackson:jackson-xc:1.7.1
|    |    |    +--- org.codehaus.jackson:jackson-core-asl:1.7.1 -> 1.9.13
|    |    |    \--- org.codehaus.jackson:jackson-mapper-asl:1.7.1 -> 1.9.13 (*)
|    |    \--- com.sun.jersey:jersey-core:1.8 -> 1.9
|    +--- com.sun.jersey:jersey-server:1.8 -> 1.9
|    |    +--- asm:asm:3.1
|    |    \--- com.sun.jersey:jersey-core:1.9
|    +--- commons-io:commons-io:2.1 -> 2.4
|    +--- commons-httpclient:commons-httpclient:3.0.1 -> 3.1
|    |    +--- commons-logging:commons-logging:1.0.4 -> 1.2
|    |    \--- commons-codec:commons-codec:1.2 -> 1.11
|    +--- commons-codec:commons-codec:1.4 -> 1.11
|    +--- org.apache.commons:commons-math:2.1
|    +--- commons-configuration:commons-configuration:1.6
|    |    +--- commons-collections:commons-collections:3.2.1
|    |    +--- commons-lang:commons-lang:2.4 -> 2.6
|    |    +--- commons-logging:commons-logging:1.1.1 -> 1.2
|    |    +--- commons-digester:commons-digester:1.8
|    |    |    +--- commons-beanutils:commons-beanutils:1.7.0 (*)
|    |    |    \--- commons-logging:commons-logging:1.1 -> 1.2
|    |    \--- commons-beanutils:commons-beanutils-core:1.8.0
|    |         \--- commons-logging:commons-logging:1.1.1 -> 1.2
|    +--- commons-net:commons-net:1.4.1
|    |    \--- oro:oro:2.0.8
|    +--- org.mortbay.jetty:jetty:6.1.26
|    |    +--- org.mortbay.jetty:jetty-util:6.1.26
|    |    \--- org.mortbay.jetty:servlet-api:2.5-20081211
|    +--- org.mortbay.jetty:jetty-util:6.1.26
|    +--- tomcat:jasper-runtime:5.5.12
|    +--- tomcat:jasper-compiler:5.5.12
|    +--- org.mortbay.jetty:jsp-api-2.1:6.1.14
|    |    \--- org.mortbay.jetty:servlet-api-2.5:6.1.14
|    +--- org.mortbay.jetty:jsp-2.1:6.1.14
|    |    +--- org.eclipse.jdt:core:3.1.1
|    |    +--- org.mortbay.jetty:jsp-api-2.1:6.1.14 (*)
|    |    \--- ant:ant:1.6.5
|    +--- commons-el:commons-el:1.0
|    |    \--- commons-logging:commons-logging:1.0.3 -> 1.2
|    +--- net.java.dev.jets3t:jets3t:0.6.1
|    |    +--- commons-codec:commons-codec:1.3 -> 1.11
|    |    +--- commons-logging:commons-logging:1.1.1 -> 1.2
|    |    \--- commons-httpclient:commons-httpclient:3.1 (*)
|    +--- hsqldb:hsqldb:1.8.0.10
|    +--- oro:oro:2.0.8
|    +--- org.eclipse.jdt:core:3.1.1
|    \--- org.codehaus.jackson:jackson-mapper-asl:1.8.8 -> 1.9.13 (*)

hadoop-hdfs:2.7.1

+--- org.apache.hadoop:hadoop-hdfs:2.7.1
|    +--- com.google.guava:guava:11.0.2 -> 18.0
|    +--- org.mortbay.jetty:jetty:6.1.26 (*)
|    +--- org.mortbay.jetty:jetty-util:6.1.26
|    +--- com.sun.jersey:jersey-core:1.9
|    +--- com.sun.jersey:jersey-server:1.9 (*)
|    +--- commons-cli:commons-cli:1.2
|    +--- commons-codec:commons-codec:1.4 -> 1.11
|    +--- commons-io:commons-io:2.4
|    +--- commons-lang:commons-lang:2.6
|    +--- commons-logging:commons-logging:1.1.3 -> 1.2
|    +--- commons-daemon:commons-daemon:1.0.13
|    +--- log4j:log4j:1.2.17
|    +--- com.google.protobuf:protobuf-java:2.5.0
|    +--- javax.servlet:servlet-api:2.5
|    +--- org.codehaus.jackson:jackson-core-asl:1.9.13
|    +--- org.codehaus.jackson:jackson-mapper-asl:1.9.13 (*)
|    +--- xmlenc:xmlenc:0.52
|    +--- io.netty:netty-all:4.0.23.Final -> 4.1.22.Final
|    +--- xerces:xercesImpl:2.9.1
|    |    \--- xml-apis:xml-apis:1.3.04 -> 1.4.01
|    +--- org.apache.htrace:htrace-core:3.1.0-incubating
|    \--- org.fusesource.leveldbjni:leveldbjni-all:1.8

原因：

发现其都是要依赖servlet-api-2.5的，而springboot要依赖于servlet3以及更高版本，

解决方案：

要exclude servlet-api-2.5

在build.gradle中配置

configurations{
   all*.exclude group:'javax.servlet'
}

参考：

java - SpringBoot Catalina LifeCycle Exception - Stack Overflow

解决gradle管理依赖中 出现servlet-api.jar冲突的问题。 - CSDN博客

2. 使用的hadoop hdfs的版本是2.7.2，当es向hdfs中写入数据时报错：

ERROR security.UserGroupInformation: PriviledgedActionException as:root cause:org.apache.hadoop.ipc.RemoteException: Server IPC version 9 cannot communicate with client version 4
org.apache.hadoop.ipc.RemoteException: Server IPC version 9 cannot communicate with client version 4

原因：

hadoop-core 1.2.1太老了，不支持2.7.2了

所以解决办法是：

修改依赖

compile group: 'org.apache.hadoop', name: 'hadoop-common', version: '2.7.2'
compile group: 'org.apache.hadoop', name: 'hadoop-mapreduce-client-core', version: '2.7.2'
compile group: 'org.apache.hadoop', name: 'hadoop-client', version: '2.7.2'
compile group: 'org.apache.hadoop', name: 'hadoop-hdfs', version: '2.7.2'
compile group: 'org.elasticsearch', name: 'elasticsearch-hadoop', version: '6.2.4'

参考：

intellij的maven工程"Server IPC version 9 cannot communicate with client version"错误的解决办法 - CSDN博客