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[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 2) (3)

. From the configuration above, we can see that we use the master node as the master node and as the data processing node. This is due to the consideration of three copies of our data and the limited number of machines. Copy the master configured masters and slaves files to the conf folder under the hadoop installation directory of slave1 and slave2 respectively: Go to the slave1 or slave2 node to check the content of the masters and slaves files: It is found that the copy is completel

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5) (6)

Tags: spark books spark hotspot Spark Technology spark tutorial The command to end historyserver is as follows: Step 4: Verify the hadoop distributed Cluster First, create two directories on the HDFS file system. The creation process is as follows: /Data/wordcount in HDFS is used to store the data files of the wordcount example provided by hadoop. The program running result is output to

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5) (6)

The command to end historyserver is as follows: Step 4: Verify the hadoop distributed Cluster First, create two directories on the HDFS file system. The creation process is as follows: /Data/wordcount in HDFS is used to store the data files of the wordcount example provided by hadoop. The program running result is output to the/output/wordcount directory, through web control, we can find that we have

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5)

We can see two datanode in the console. Click "Live nodes" to view its information: 650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M02/4C/D0/wKioL1RFumygVjlQAAMMlGo7TeQ441.jpg "style =" float: none; "Title =" 41.png" alt = "wkiol1rfumygvjlqaammlgo7teq441.jpg"/> We can see two datanode nodes sparkworker1 and sparkworker2 in the console. This is exactly what we expected! Step 3: Start the yarn Cluster

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (2)

= 650; "src =" http://s3.51cto.com/wyfs02/M01/49/AD/wKiom1QY8sbAlaWeAAHeLrunSlc705.jpg "style =" float: none; "Title =" 5.png" alt = "wkiom1qy8sbalaweaahelruntmp705.jpg"/> After the installation is complete, in order to facilitate the use of the command in the bin directory, we configure it in the "~ /. Bashrc ": This article is from the spark Asia Pacific Research Institute blog, please be sure to keep this source http://rockyspark.blog.51cto.com/2229525/1553616 [Spark Asia Pacific Research I

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (2)

the latest version 13.1.4: For the version selection, the official team provides the following options: Here we select the "Community edition free" version in Linux, which can fully meet Scala development needs of any degree of complexity. After the download is complete, save it to the following local location: Step 2: Install idea and configure idea system environment variables Create the "/usr/local/idea" directory: Decompress the downl

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (2)

13.1.4: For the version selection, the official team provides the following options: Here we select the "Community edition free" version in Linux, which can fully meet Scala development needs of any degree of complexity. After the download is complete, save it to the following local location: Step 2: Install idea and configure idea system environment variables Create the "/usr/local/idea" directory: Decompress the downloaded idea package to this d

Ambari management of large data cluster master node memory expansion operation Step Description

services of each node4.1, zookeeper inspectionLog on to the target host node and use zkcli.sh to switch to the Zookeeper command line to check if the root directory can be queried properly;Check the zookeeper boot log to see if the service is working properly based on the log.4.2, Namenode InspectionLog in to the Ambari-server HDFs Administration page and check the Namenode ha status;Check the master-slave namenode node log to see if the service is functioning properly based on the log output.5

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (7)

Step 4: build and test the spark development environment through spark ide Step 1: Import the package corresponding to spark-hadoop, select "file"> "project structure"> "Libraries", and select "+" to import the package corresponding to spark-hadoop: Click "OK" to confirm: Click "OK ": After idea is completed, we will find that the spark jar package is imported into our project:

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5) (2)

Label: style blog http OS Using Ar Java file sp Download the downloaded"Hadoop-2.2.0.tar.gz "Copy to"/Usr/local/hadoop/"directory and decompress it: Modify the system configuration file ~ /Configure "hadoop_home" in the bashrc file and add the bin folder under "hadoop_home" to the path. After modification, run the source command to make the configuration take effect. Next, create a folder in the hadoop directory using the following command: Next, modify the hadoop configuration file. F

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5) (2)

Copy the downloaded hadoop-2.2.0.tar.gz to the "/usr/local/hadoop/" directory and decompress it: Modify the system configuration file ~ /Configure "hadoop_home" in the bashrc file and add the bin folder under "hadoop_home" to the path. After modification, run the source command to make the configuration take effect. Next, create a folder in the hadoop directory using the following command: Next, modify the hadoop configuration file. First, go to the hadoop 2.2.0 configuration file area:

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 5) (2)

Download the downloaded"Hadoop-2.2.0.tar.gz "Copy to"/Usr/local/hadoop/"directory and decompress it: Modify the system configuration file ~ /Configure "hadoop_home" in the bashrc file and add the bin folder under "hadoop_home" to the path. After modification, run the source command to make the configuration take effect. Next, create a folder in the hadoop directory using the following command: \Next, modify the hadoop configuration file. First, go to the hadoop 2.2.0 configuration file

"Go" Hadoop cluster add disk step

: Mkdir-p/hd/sdb1, and then mount/dev/sdb1/hd/sdb1, same mount other partitions.5, modify the/etc/fstabIf not modified, every time you turn on the manual to do the 4th step, more trouble. Open the Fstab file, add 5 new partitions according to an existing entry, and the last two data for each entry are 0 0Iv. Expansion of HDFsI add all of the above 5 partitions to HDFs. First create a new subdirectory in the Mount directory for each partition/dfs/dn, s

One step Learning Unity3d Learning notes 1.3 League of Legends server cluster architecture conjecture

guessing, Use reasonable guesswork to emulate the architecture of a League of Legends server architecture.The region server contains a series of combat servers, the region server also serves as a player match, player combat status, and so on a series of functions, a player in a battle may be in a different station no server, this machine is the same fight, the same group, some shunliu some lag, is because some teammates are assigned to an overloaded combat server,Large area servers provide resu

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (3)

/49/D5/wKioL1QbpNKDWXo_AAElnZLjV4U229.jpg "style =" float: none; "Title =" 14.png" alt = "wkiol1qbpnkdwxo_aaelnzljv4u229.jpg"/> Select "yes" to enable automatic installation of scala plug-in idea. 650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M00/49/D3/wKiom1QbpLijqttNAAE3LTevJ5I077.jpg "style =" float: none; "Title =" 15.png" alt = "wkiom1qbplijqttnaae3ltevj5i077.jpg"/> In this case, it takes about 2 minutes to download and install the SDK. Of course, the download time varies depen

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (3)

Save and run the source command to make the configuration file take effect. Step 3: Run idea and install and configure the idea Scala development plug-in: The official document states: Go to the idea bin directory: Run "idea. Sh" and the following page appears: Select "Configure" To Go To The idea configuration page: Select plugins To Go To The plug-in installation page: Click the "Install jetbrains plugin" option in the lower left corner t

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (5)

Modify the source code of our "firstscalaapp" to the following: Right-click "firstscalaapp" and choose "Run Scala console". The following message is displayed: This is because we have not set the JDK path for Java. Click "OK" to go to the following view: In this case, select the "project" option on the left: In this case, we select "new" of "No SDK" to select the following primary View: Click the JDK option: Select the JDK directory we installed earlier: Click "OK" Click OK: Click the f

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (8)

Step 5: test the spark IDE development environment The following error message is displayed when we directly select sparkpi and run it: The prompt shows that the master machine running spark cannot be found. In this case, you need to configure the sparkpi execution environment: Select Edit configurations to go to the configuration page: In program arguments, enter "local ": This configuration indicates that our program runs in local mode

[Spark Asia Pacific Research Institute Series] the path to spark practice-Chapter 1 building a spark cluster (step 4) (6)

; "src =" http://s3.51cto.com/wyfs02/M02/4A/13/wKioL1QiJJPzxOm0AAFxk_FS8AU762.jpg "style =" float: none; "Title =" 51.png" alt = "wkiol1qijjpzxom0aafxk_fs8au762.jpg"/> We found that we fully used the new background and correctly ran the program, which is much faster than the first operation. This article is from the spark Asia Pacific Research Institute blog, please be sure to keep this source http://rockyspark.blog.51cto.com/2229525/1557591 [Spark Asia Pacific Research Institute Series] the pa

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