部署hadoop2.7.2 集群 基于zookeeper配置HDFS HA+Federation

转自：http://www.2cto.com/os/201605/510489.html

hadoop1的核心组成是两部分，即HDFS和MapReduce。在hadoop2中变为HDFS和Yarn。新的HDFS中的NameNode不再是只有一个了，可以有多个（目前只支持2个）。每一个都有相同的职能。

两个NameNode

当集群运行时，只有active状态的NameNode是正常工作的，standby状态的NameNode是处于待命状态的，时刻同步active状态NameNode的数据。一旦active状态的NameNode不能工作，通过手工或者自动切换，standby状态的NameNode就可以转变为active状态的，就可以继续工作了。这就是高可靠。

NameNode发生故障时

2个NameNode的数据其实是实时共享的。新HDFS采用了一种共享机制，JournalNode集群或者NFS进行共享。NFS是操作系统层面的，JournalNode是hadoop层面的，我们这里使用JournalNode集群进行数据共享。

实现NameNode的自动切换

需要使用ZooKeeper集群进行选择了。HDFS集群中的两个NameNode都在ZooKeeper中注册，当active状态的NameNode出故障时，ZooKeeper能检测到这种情况，它就会自动把standby状态的NameNode切换为active状态。

HDFS Federation

NameNode是核心节点，维护着整个HDFS中的元数据信息，那么其容量是有限的，受制于服务器的内存空间。当NameNode服务器的内存装不下数据后，那么HDFS集群就装不下数据了，寿命也就到头了。因此其扩展性是受限的。HDFS联盟指的是有多个HDFS集群同时工作，那么其容量理论上就不受限了，夸张点说就是无限扩展。

 

节点分布

 

配置过程详述

配置文件一共包括6个，分别是hadoop-env.sh、core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml和slaves。除了hdfs-site.xml文件在不同集群配置不同外，其余文件在四个节点的配置是完全一样的，可以复制。

 

hadoop-env.sh

 

默认的HDFS路径。当有多个HDFS集群同时工作时，用户如果不写集群名称，那么默认使用哪个哪就在这里指定！该值来自于hdfs-site.xml中的配置

默认是NameNode、DataNode、JournalNode等存放数据的公共目录

ZooKeeper集群的地址和端口。注意，数量一定是奇数

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<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://cluster1</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/ha/hadoop-2.7.2/data/tmp</value>
    </property>
    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>
    <property>
        <name>ha.zookeeper.quorum</name>
        <value>hadoop:2181,hadoop1:2181,hadoop2:2181;slave1:2181;slave2:2181</value>
    </property>
</configuration>

 

hdfs-site.xml

这里dfs.namenode.shared.edits.dir的只在hadoop1,hadoop2中最后路径为cluster1,在slave1,slave2中最后路径为cluster2,区分开就行,可以是别的名称,还有一个core-site.xml中的fs.defaultFS在slave1和slave2中可以更改为cluster2

 

yarn-site.xml

 

 

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<property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
</property>
<property>
    <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
    <name>yarn.resourcemanager.hostname</name>
    <value>hadoop</value>
</property>
<property>
    <name>yarn.log-aggregation-enable</name>
    <value>true</value>
</property>
<property>
    <name>yarn.log-aggregation.retain-seconds</name>
    <value>604800</value>
</property>

 

 

mapred-site.xml

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<property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
</property>
<property>
    <name>mapreduce.job.tracker</name>
    <value>hdfs://hadoop:9001</value>
    <final>true</final>
</property>
<property>
    <name>mapreduce.jobhistory.address</name>
    <value>hadoop:10020</value>
</property>
<property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>hadoop:19888</value>
</property>

slaves

 

 

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hadoop
hadoop1
hadoop2
slave1
slave2

 

启动过程

在所有zk节点启动zookeeper

 

 

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hadoop@hadoop:hadoop-2.7.2$ zkServer.sh start

格式化zookeeper集群

 

 

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[hadoop@hadoop1 hadoop-2.7.2]$ bin/hdfs zkfc -formatZK
[hadoop@slave1 hadoop-2.7.2]$ bin/hdfs zkfc -formatZK
[hadoop@slave1 hadoop-2.7.2]$ zkCli.sh
[zk: localhost:2181(CONNECTED) 5] ls /hadoop-ha/cluster
 
cluster2   cluster1

在所有节点启动journalnode

 

 

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hadoop@hadoop:hadoop-2.7.2$ sbin/hadoop-daemon.sh start journalnode
starting journalnode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-journalnode-hadoop.out
hadoop@hadoop:hadoop-2.7.2$


在cluster1中的nn1格式化namenode,验证并启动

 

 

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[hadoop@hadoop1 hadoop-2.7.2]$ bin/hdfs namenode -format -clusterId hadoop1
16/05/19 15:43:01 INFO common.Storage: Storage directory /opt/ha/hadoop-2.7.2/data/dfs/name has been successfully formatted.
16/05/19 15:43:01 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
16/05/19 15:43:01 INFO util.ExitUtil: Exiting with status 0
16/05/19 15:43:01 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop1/192.168.2.10
************************************************************/
[hadoop@hadoop1 hadoop-2.7.2]$ ls data/dfs/name/current/
fsimage_0000000000000000000      seen_txid
fsimage_0000000000000000000.md5  VERSION
[hadoop@hadoop1 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-namenode-hadoop1.out
[hadoop@hadoop1 hadoop-2.7.2]$ jps
9551 NameNode
9423 JournalNode
9627 Jps
9039 QuorumPeerMain

 

http://hadoop1:50070查看

cluster1中另一个节点同步数据格式化,并启动

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[hadoop@hadoop2 hadoop-2.7.2]$ bin/hdfs namenode -bootstrapStandby
......
16/05/19 15:48:27 INFO common.Storage: Storage directory /opt/ha/hadoop-2.7.2/data/dfs/name has been successfully formatted.
16/05/19 15:48:27 INFO namenode.TransferFsImage: Opening connection to http://hadoop1:50070/imagetransfer?getimage=1&txid=0&storageInfo=-63:1280767544:0:hadoop1
16/05/19 15:48:28 INFO namenode.TransferFsImage: Image Transfer timeout configured to 60000 milliseconds
16/05/19 15:48:28 INFO namenode.TransferFsImage: Transfer took 0.00s at 0.00 KB/s
16/05/19 15:48:28 INFO namenode.TransferFsImage: Downloaded file fsimage.ckpt_0000000000000000000 size 353 bytes.
16/05/19 15:48:28 INFO util.ExitUtil: Exiting with status 0
16/05/19 15:48:28 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at hadoop2/192.168.2.11
************************************************************/
[hadoop@hadoop2 hadoop-2.7.2]$ ls data/dfs/name/current/
fsimage_0000000000000000000      seen_txid
fsimage_0000000000000000000.md5  VERSION
[hadoop@hadoop2 hadoop-2.7.2]$
[hadoop@hadoop2 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-namenode-hadoop2.out
[hadoop@hadoop2 hadoop-2.7.2]$ jps
7196 Jps
6980 JournalNode
7120 NameNode
6854 QuorumPeerMain

http://hadoop2:50070查看如下

 

使用以上步骤同是启动cluster2的两个namenode;这里省略

然后启动所有的datanode和(必须也在hadoop节点上启动)yarn

 

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[hadoop@hadoop1 hadoop-2.7.2]$ sbin/hadoop-daemons.sh start datanode
hadoop1: starting datanode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-datanode-hadoop1.out
slave2: starting datanode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-datanode-slave2.out
hadoop2: starting datanode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-datanode-hadoop2.out
slave1: starting datanode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-datanode-slave1.out
hadoop: starting datanode, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-datanode-hadoop.out
hadoop@hadoop:hadoop-2.7.2$ sbin/start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-resourcemanager-hadoop.out
hadoop2: starting nodemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-hadoop2.out
hadoop1: starting nodemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-hadoop1.out
slave2: starting nodemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-slave2.out
hadoop: starting nodemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-hadoop.out
slave1: starting nodemanager, logging to /opt/ha/hadoop-2.7.2/logs/yarn-hadoop-nodemanager-slave1.out
hadoop@hadoop:hadoop-2.7.2$ jps
19384 JournalNode
19013 QuorumPeerMain
20649 Jps
20241 ResourceManager
20396 NodeManager
19815 DataNode
 
 
[hadoop@hadoop1 hadoop-2.7.2]$ jps
10091 NodeManager
9551 NameNode
9822 DataNode
9423 JournalNode
10232 Jps
9039 QuorumPeerMain
[hadoop@hadoop2 hadoop-2.7.2]$ jps
7450 NodeManager
7295 DataNode
6980 JournalNode
7120 NameNode
6854 QuorumPeerMain
7580 Jps
[hadoop@slave1 hadoop-2.7.2]$ jps
3706 DataNode
3988 Jps
3374 JournalNode
3591 NameNode
3860 NodeManager
3184 QuorumPeerMain
[hadoop@slave2 hadoop-2.7.2]$ jps
3023 QuorumPeerMain
3643 NodeManager
3782 Jps
3177 JournalNode
3497 DataNode
3383 NameNod
  

http://hadoop:8088/cluster/nodes/

 


 

所有namenode节点启动zkfc

 

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[hadoop@hadoop1 hadoop-2.7.2]$ sbin/hadoop-daemon.sh start zkfc
starting zkfc, logging to /opt/ha/hadoop-2.7.2/logs/hadoop-hadoop-zkfc-hadoop1.out
[hadoop@hadoop1 hadoop-2.7.2]$ jps
10665 DFSZKFailoverController
9551 NameNode
9822 DataNode
9423 JournalNode
10739 Jps
9039 QuorumPeerMain
10483 NodeManager


上传文件测试

 

 

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[hadoop@hadoop1 hadoop-2.7.2]$ bin/hdfs dfs -mkdir /test
16/05/19 16:09:19 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[hadoop@hadoop1 hadoop-2.7.2]$ bin/hdfs dfs -put etc/hadoop/*.xml /test
16/05/19 16:09:36 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
#在slave1中查看
[hadoop@slave1 hadoop-2.7.2]$ bin/hdfs dfs -ls -R /
16/05/19 16:11:32 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
drwxr-xr-x   - hadoop supergroup          0 2016-05-19 16:09 /test
-rw-r--r--   2 hadoop supergroup       4436 2016-05-19 16:09 /test/capacity-scheduler.xml
-rw-r--r--   2 hadoop supergroup       1185 2016-05-19 16:09 /test/core-site.xml
-rw-r--r--   2 hadoop supergroup       9683 2016-05-19 16:09 /test/hadoop-policy.xml
-rw-r--r--   2 hadoop supergroup       3814 2016-05-19 16:09 /test/hdfs-site.xml
-rw-r--r--   2 hadoop supergroup        620 2016-05-19 16:09 /test/httpfs-site.xml
-rw-r--r--   2 hadoop supergroup       3518 2016-05-19 16:09 /test/kms-acls.xml
-rw-r--r--   2 hadoop supergroup       5511 2016-05-19 16:09 /test/kms-site.xml
-rw-r--r--   2 hadoop supergroup       1170 2016-05-19 16:09 /test/mapred-site.xml
-rw-r--r--   2 hadoop supergroup       1777 2016-05-19 16:09 /test/yarn-site.xml
[hadoop@slave1 hadoop-2.7.2]$
  

验证yarn

 

 

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[hadoop@hadoop1 hadoop-2.7.2]$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount /test /out
16/05/19 16:15:25 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/05/19 16:15:26 INFO client.RMProxy: Connecting to ResourceManager at hadoop/192.168.2.3:8032
16/05/19 16:15:27 INFO input.FileInputFormat: Total input paths to process : 9
16/05/19 16:15:27 INFO mapreduce.JobSubmitter: number of splits:9
16/05/19 16:15:27 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1463644924165_0001
16/05/19 16:15:27 INFO impl.YarnClientImpl: Submitted application application_1463644924165_0001
16/05/19 16:15:27 INFO mapreduce.Job: The url to track the job: http://hadoop:8088/proxy/application_1463644924165_0001/
16/05/19 16:15:27 INFO mapreduce.Job: Running job: job_1463644924165_0001
16/05/19 16:15:35 INFO mapreduce.Job: Job job_1463644924165_0001 running in uber mode : false
16/05/19 16:15:35 INFO mapreduce.Job:  map 0% reduce 0%
16/05/19 16:15:44 INFO mapreduce.Job:  map 11% reduce 0%
16/05/19 16:15:59 INFO mapreduce.Job:  map 11% reduce 4%
16/05/19 16:16:08 INFO mapreduce.Job:  map 22% reduce 4%
16/05/19 16:16:10 INFO mapreduce.Job:  map 22% reduce 7%
16/05/19 16:16:22 INFO mapreduce.Job:  map 56% reduce 7%
16/05/19 16:16:26 INFO mapreduce.Job:  map 100% reduce 67%
16/05/19 16:16:29 INFO mapreduce.Job:  map 100% reduce 100%
16/05/19 16:16:29 INFO mapreduce.Job: Job job_1463644924165_0001 completed successfully
16/05/19 16:16:31 INFO mapreduce.Job: Counters: 51
    File System Counters
        FILE: Number of bytes read=25164
        FILE: Number of bytes written=1258111
        FILE: Number of read operations=0
        FILE: Number of large read operations=0
        FILE: Number of write operations=0
        HDFS: Number of bytes read=32620
        HDFS: Number of bytes written=13523
        HDFS: Number of read operations=30
        HDFS: Number of large read operations=0
        HDFS: Number of write operations=2
    Job Counters
        Killed map tasks=2
        Launched map tasks=10
        Launched reduce tasks=1
        Data-local map tasks=8
        Rack-local map tasks=2
        Total time spent by all maps in occupied slots (ms)=381816
        Total time spent by all reduces in occupied slots (ms)=42021
        Total time spent by all map tasks (ms)=381816
        Total time spent by all reduce tasks (ms)=42021
        Total vcore-milliseconds taken by all map tasks=381816
        Total vcore-milliseconds taken by all reduce tasks=42021
        Total megabyte-milliseconds taken by all map tasks=390979584
        Total megabyte-milliseconds taken by all reduce tasks=43029504
    Map-Reduce Framework
        Map input records=963
        Map output records=3041
        Map output bytes=41311
        Map output materialized bytes=25212
        Input split bytes=906
        Combine input records=3041
        Combine output records=1335
        Reduce input groups=673
        Reduce shuffle bytes=25212
        Reduce input records=1335
        Reduce output records=673
        Spilled Records=2670
        Shuffled Maps =9
        Failed Shuffles=0
        Merged Map outputs=9
        GC time elapsed (ms)=43432
        CPU time spent (ms)=30760
        Physical memory (bytes) snapshot=1813704704
        Virtual memory (bytes) snapshot=8836780032
        Total committed heap usage (bytes)=1722810368
    Shuffle Errors
        BAD_ID=0
        CONNECTION=0
        IO_ERROR=0
        WRONG_LENGTH=0
        WRONG_MAP=0
        WRONG_REDUCE=0
    File Input Format Counters
        Bytes Read=31714
    File Output Format Counters
        Bytes Written=13523

http://hadoop:8088/查看

 

结果

 

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[hadoop@slave1 hadoop-2.7.2]$ bin/hdfs dfs -lsr /out
lsr: DEPRECATED: Please use 'ls -R' instead.
16/05/19 16:22:14 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
-rw-r--r--   2 hadoop supergroup          0 2016-05-19 16:16 /out/_SUCCESS
-rw-r--r--   2 hadoop supergroup      13523 2016-05-19 16:16 /out/part-r-00000
[hadoop@slave1 hadoop-2.7.2]$


测试故障自动转移

 

当前情况在网页查看hadoop1和slave1为Active状态,

那把这两个namenode关闭,再查看

 

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[hadoop@hadoop1 hadoop-2.7.2]$ jps
10665 DFSZKFailoverController
9551 NameNode
12166 Jps
9822 DataNode
9423 JournalNode
9039 QuorumPeerMain
10483 NodeManager
[hadoop@hadoop1 hadoop-2.7.2]$ sbin/hadoop-daemon.sh stop namenode
stopping namenode
[hadoop@hadoop1 hadoop-2.7.2]$ jps
10665 DFSZKFailoverController
9822 DataNode
9423 JournalNode
12221 Jps
9039 QuorumPeerMain
10483 NodeManager


 

 

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[hadoop@slave1 hadoop-2.7.2]$ sbin/hadoop-daemon.sh stop namenode
stopping namenode
[hadoop@slave1 hadoop-2.7.2]$ jps
3706 DataNode
3374 JournalNode
4121 NodeManager
5460 Jps
4324 DFSZKFailoverController
3184 QuorumPeerMain

 

此时Active NN已经分别转移到hadoop2和slave2上了

以上是hadoop2.2.0的HDFS集群HA配置和自动切换、HDFS federation配置、Yarn配置的基本过程,其中大家可以添加其他配置,zookeeper和journalnode也不一定所有节点都启动,只要是奇数个就ok,如果集群数量多,这些及节点均可以单独配置在一个host上

posted @ 2016-10-26 14:22  XGogo  阅读(361)  评论(0)    收藏  举报