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access address: http: // 10.53.105.63/snoop(The IP address is the IP address of the DM server)
Enter the IP addresses of other nodes in the cluster to view the details:
Http: // 10.53.105.66/snoop(The IP address is the IP address of another node in the cluster)
We can see that the cluster program has been successfully deployed.
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Note: "pointing track" is "Click order", which is the effect after clicking
Environment
Project point
Metrics
Was version
7.0
Operating System
Windows 2008
Number of system digits
64bit
Memory
2G
Was absolute path
D: \ IBM \ WebSphere \ appserver
Step 1: Prepare the file
File description:
Was Nd: was7.0 Software
IHS and update installer and Plugin: IHS (ibm http server) Softw
(1) confirm the two-node time synchronization
Make sure that the time error between nodes is controlled within 5 minutes. Otherwise, the addition of nodes will not be completed.(2) run the Add node command on node 1.
Host Name input: DM Host Name
Node 1: (To the ikerv01 path)
Command: addNodeWIN-PLDC49NNSAA 8879
(3) node 2: Execute the Add node command
Host Name input: DM server host name
Node 2 (to the ikerv01 path)
The command is addnodewin-pldc49nnsaa 8879.
(4) Restart DM
To dmgr path:
Reprint please indicate source: http://www.cnblogs.com/tiaozistudy/p/twostep_cluster_algorithm.htmlThe two-step clustering algorithm is a kind of clustering algorithm used in SPSS Modeler, and it is an improved version of Birch hierarchical clustering algorithm. It can be applied to the clustering of mixed attribute datasets, and the mechanism of automatically determining the optimal number of clusters is added, which makes the method more practical.
Today we continue the WCF distributed development step for Win (3) WCF service Metadata Exchange, configuration, and programming development learning. Through the previous two sections of learning, we understand the basic concepts of WCF distributed development and the complete development and configuration process of custom hosted hosting services. Today we will learn more about the WCF service metadata
I changed my job more than a month ago to engage in FinanceProgramThe first job of the software is to parse the data of the Shenzhen and Shanghai Exchanges. The data of the Shenzhen Stock Exchange is a step protocol and a pure character TCP/IP stream, if the traffic per second reaches more than 200 kb, the client that receives the data must be properly designed. Otherwise, such a large data stream will die.
Tags: des style HTTP color Io OS AR for strong
Ambari-Overview of single-step creation
One-step cluster creation calls the restapi of ambari-server once to install and enable each service in the cluster and set the host information of each component of the service. This improves the flexibility of
Start and view the cluster status
Step 1: Start the hadoop cluster, which is explained in detail in the second lecture. I will not go into details here:
After the JPS command is run on the master machine, the following process information is displayed:
When JPS is used on slave1 and slave2, the following process information is displayed:
Step 1: Test spark through spark Shell
Step 1:Start the spark cluster. This is very detailed in the third part. After the spark cluster is started, webui is as follows:
Step 2: Start spark shell:
In this case, you can view the shell in the following Web console:
and then start with a copy, then add to the replica Set, there is no need to have a synchronous initialization process in this way.Reference:http://docs.mongodb.org/manual/tutorial/convert-standalone-to-replica-set/http://docs.mongodb.org/manual/tutorial/restore-replica-set-from-backup/8. OtherIf you want to convert a shard cluster to a replica set cluster, you need to dump the data and restore it back;If
Step 1: software required by the spark cluster;
Build a spark cluster on the basis of the hadoop cluster built from scratch in Articles 1 and 2. We will use the spark 1.0.0 version released in May 30, 2014, that is, the latest version of spark, to build a spark Cluster Based
Step 1: Test spark through spark Shell
Step 1:Start the spark cluster. This is very detailed in the third part. After the spark cluster is started, webui is as follows:
Step 2:Start spark shell:
In this case, you can view the shell in the following Web console:
follows: Step 1: Modify the host name in/etc/hostname and configure the ing between the host name and IP address in/etc/hosts: We use the master machine as the master node of hadoop. First, let's take a look at the IP address of the master machine: The IP address of the current host is "192.168.184.20 ". Modify the host name in/etc/hostname: Enter the configuration file: We can see the default name when installing ubuntu. The nam
Tags: program editor Change password administrator to solve the problem start the registry to run ATI as an administratorThe following is their own reload after the problem has been found in the blog park inside the solution, however, in accordance with this method or can not solve the problem, finally in the final resolution, fool-type error, again prompted: Please close the antivirus software and firewall. Previously normal use of PostgreSQL, the problem today: reported *.dll error. Baidu a
spark cluster;
Spark_worker_memoery: The maximum memory size that can be allocated to the specified worker node to the excutors. Because the three servers are configured with 2 GB memory, this parameter is set to 2 GB for the sake of full memory usage;
Hadoop_conf_dir: Specifies the directory of the configuration file of our original hadoop cluster;
Save and exit.
Next, configure the slaves file under SPA
spark cluster;
Spark_worker_memoery: The maximum memory size that can be allocated to the specified worker node to the excutors. Because the three servers are configured with 2 GB memory, this parameter is set to 2 GB for the sake of full memory usage;
Hadoop_conf_dir: Specifies the directory of the configuration file of our original hadoop cluster;
Save and exit.
Next, configure the slaves file unde
Step 4 modify the configuration file slaves as follows:
We set the slave nodes in the hadoop cluster to sparkworker1 and sparkworker2, and modify the slaves file content:
Step 5 modify the profile core-site.xml, as shown below:
Modify the content of the core-site.xml file:
The above is the minimal configuration of the core-site.xml fil
in/etc/hosts on slave2. The configuration is as follows:
Save and exit.
In this case, we can ping both master and slave1;
Finally, configure the ing between the host name and IP address in/etc/hosts on the master. The configuration is as follows:
At this time, the ping command is used on the master to communicate with the slave1 and slave2 machines:
It is found that the machines on the two slave nodes have been pinged.
Finally, let's test the communication between the Server Loa
Restart idea:
Restart idea:
After restart, enter the following interface:
Step 4: Compile scala code in idea:
First, select "create new project" on the interface that we entered in the previous step ":
Select the "Scala" option in the list on the left:
To facilitate future development, select the "SBT" option on the right:
Click "Next" to go to the next
Label: style blog http OS use AR file SP 2014
7. perform the same hadoop 2.2.0 operations on sparkworker1 and sparkworker2 as sparkmaster. We recommend that you use the SCP command to copy the hadoop content installed and configured on sparkmaster to sparkworker1 and sparkworker2;
8. Start and verify the hadoop distributed Cluster
Step 1: format the HDFS File System:
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