sql server failover cluster step by step

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

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:

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

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

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

letter, and the Q-drive is used as the quorum disk for the cluster. Here is the first disk named Q disk as the quorum disk for the cluster After all configuration is complete sql-cl01 (HSR 50) such as (L SQL log disk, q quorum disk, S SQL data disk) After

= 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

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

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

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:

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

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:

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

disk.15. The System Configuration Checker will then run a set of rules to validate your computer configuration against the SQL Server features that you specify.The ready to install page displays a tree view of the installation options specified during installation. To continue, click Install.18. When the installation is complete, thecompletion page provides links to the installation summary log files and o

/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

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

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