Docker + Redis3 Cluster Environment setup
Topology:
Lab objectives:
The client accesses the following redis clusters through 192.168.100.67
Container ID: 9cb25bcd52d1 IP Address: 172.17.0.5 port: 7005 7006
Container ID 91dac3ea23c9 IP Address: 172.17.0.4 port: 7003 7004
Container ID e2189fc1d4d9 IP Address: 172.17.0.2 port: 7001 7002
Create a basic rides image, including the basic package, ruby, and redis
There are three job scheduling algorithms in Hadoop cluster, FIFO, fair scheduling algorithm and computing ability scheduling algorithm.First -Come-first service (FIFO)Default Scheduler in HadoopFIFO, it first according to the priority level of the job, and then according to the time of arrival to choose the job to be executed. FIFO is simple, there is only one job queue in
After the Hadoop cluster is set up, the Hadoop cluster is accessed locally via the Java API, as follows (see all node name information on the Hadoop cluster)
Import org.apache.hadoop.conf.Configuration;
Import Org.apache.hadoop.f
Today to open an account to configure Hadoop, but all finished, run, there is no Java found in the case, my Java is set in the. ZSHRC, export Java_home=/usr/lib/jvm/java, in the original is available, But not this time, and then found the solution on the Internet, into the hadoop/libexec/hadoop-config.sh, and then #attempt to set Java_home if it no set before add
}Replaced byExport JAVA_HOME=/OPT/JDK1. 8. 0_181/Third, copy to SlaveIv. format of HDFsThe shell executes the following commandHadoop Namenode-formatFormatting succeeds if the following red log content appears -/Ten/ A A: -: -INFO util. Gset:capacity =2^ the=32768Entries -/Ten/ A A: -: -INFO Namenode. fsimage:allocated New blockpoolid:bp-1164998719-192.168.56.10-153936231358418/10/12 12:38:33 INFO Common. Storage:storage Directory/opt/hdfs/name has been successfully formatted. -/Ten/ A A: -:
protected]-pro02 hbase-0.98.6-cdh5.3.0]$welcome everyone, join my public number: Big Data lie over the pit ai lie in the pitAt the same time, you can follow my personal blog :http://www.cnblogs.com/zlslch/ and http://www.cnblogs.com/lchzls/ Http://www.cnblogs.com/sunn ydream/ For details, see: http://www.cnblogs.com/zlslch/p/7473861.htmlLife is short, I would like to share. This public number will uphold the old learning to learn the endless exchange of open source spirit, gathered in the Inter
node in our cluster. A replica set is a node for cluster. Because at any moment, only the primary in the replica set can accept the write operation. So in order to play cluster , we need to add more than one replica set so that MONGOs can read and write multiple replica sets in parallel. Refer to the replica set deployment document to create the new replica set
In the fifth step of creating a Hadoop cluster in large data virtualization basics, I want to start by stating that I do not create a cluster through the visual interface provided by BDE. The reason is that our previously deployed Vapp include the BDE Management Server, which is running through a virtual machine. At this point, it has not been able to bind to the
Always focused on Hadoop projects, and recently found that you can build Hadoop under Windows.decided to give it a try. The gossip is less.Prepare a Windows 7 32-bit environment first,(official online said does not support 64-bit, compile will be problematic, not to say why, if you want to use on the Windows 64-bit machine, you can compile in 32-bit environment to 64-bit, and then deploy to 64-bit machine)R
Setup of MySQL/MariaDB Galera cluster in Linux
MariaDB Introduction
MariaDB is a MySQL Branch maintained by the open-source community. It is developed by MySQL founder Michael Widenius and uses a GPL license.
MariaDB is designed to be fully compatible with MySQL, including APIs and command lines, so that it can easily become a substitute for MySQL.
For more information, see:
Http://mariadb.org/(official web
AC Group: 335671559 Hadoop Cluster
Hadoop Cluster Build
The IP address of the master computer is assumed to be the 192.168.1.2 slaves2 assumption of the 192.168.1.1 Slaves1 as 192.168.1.3
The user of each machine is Redmap, the Hadoop root directory is:/
1 installation versionBuild Hadoop2.4.0 version, based on Ubuntu12.04 x86_64, jdk1.7.0_792 References:1) Reliable Installation documentation http://www.aboutyun.com/thread-7684-1-1.html2) Official Installation documentation Http://hadoop.apache.org/docs/r2.4.1/hadoop-project-dist/hadoop-common/ClusterSetup.html#Installation3 Main ideas:The basic idea of a fully distributed
other users. This requires an account to be built for each user on all tasktracker;3. When a map task runs at the end, it will tell the calculation results to manage its tasktracker, and each reduce task will request to the Tasktracker the piece of data it wants to process via HTTP. Hadoop should ensure that other users are not able to get intermediate results for map tasks,The process is that the reduce task calculates the HMAC-SHA1 value for the re
-2.4.1.tar.gz-c/java/decompression hadoopls lib/native/See what files are in the extracted directory CD etc/hadoop/into the profile directory vim hadoop-env.sh Modify Profile environment variable (export java_home=/java/jdk/jdk1.7.0_65) *-site.xml*vim core-site.xml Modify configuration file (go to official website for parameter meaning) ./Hadoop fs-du-s/#查看hdfs
Copy an object The content of the copied "input" folder is as follows: The content of the "conf" file under the hadoop installation directory is the same. Now, run the wordcount program in the pseudo-distributed mode we just built: After the operation is complete, let's check the output result: Some statistical results are as follows: At this time, we will go to the hadoop Web
If there is a place to look at the mask, take a look at the HDFs ha this articleThe official scheme is as follows
Configuration target:
Node1 Node2 Node3:3 Station ZookeeperNode1 Node2:2 sets of ResourceManager
First configure Node1, configure Etc/hadoop/yarn-site.xml:
Configuration etc/hadoop/mapred-site.xml:
Copy the Node1 2 configuration files (SCP command) to 4 other machines
Then start the yarn:st
I. Extracting data from HDFS to an RDBMS1. Download the sample file from the address below.Http://wiki.pentaho.com/download/attachments/23530622/weblogs_aggregate.txt.zip?version=1modificationDate =13270678580002. Use the following command to place the extracted Weblogs_aggregate.txt file in the/user/grid/aggregate_mr/directory of HDFs.Hadoop fs-put weblogs_aggregate.txt/user/grid/aggregate_mr/3. Open PDI, create a new transformation, 1.Figure 14. Edit the '
In the example of importing other table data into a table, we created a new table score1 and inserted the data into the score1 with the SQL statement. This is just a list of the above steps.
Inserting data
Insert into table score1 partition (openingtime=201509values (1,' (2,'a');
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Here, the content of this chapter is complete.
Analog data File Download
Github Https://github.com/sinodzh/HadoopExample/t
Reason:Hadoop-eclipse-plugin-2.7.3.jar compiled JDK versions are inconsistent with the JDK version used by Eclipse startup.Solution One :Modify the Myeclipse.ini file to resolve it. D:/java/myeclipse/common/binary/com.sun.java.jdk.win32.x86_1.6.0.013/jre/bin/client/jvm.dll to: D:/Program Files ( x86)/java/jdk1.7.0_45/jre/bin/client/jvm.dlljdk1.7.0_45 version of the JDK for your own installationIf it is not valid, check that the Hadoop version set in t
In the hadoop cluster environment, use sqoop to import the data generated by hive into the mysql database. The exception Causedby: java. SQL. SQLException: null, messagefromserver: success; unblockwithmysqladmin
In the hadoop cluster environment, sqoop is used to import the data generated by hive into the mysql databas
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