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1. Error Description:The reason for this error is that I have previously installed the CDH in Cloudera Manager, which adds all the services and, of course, hbase. And then reinstall, the following error occurs:Failed to become active master,org.apache.hadoop.hbase.tableexistsexception:hbase:namespace.According to the above error we can clearly know that, when starting HBase, because the previously installed HBase version of the data also exists, so th

[Author]: Kwu (and news Big Data)Basic CDH5.4 Spark1.4.1 SPARKR deployment, combining R with Spark, provides an efficient solution for data analysis, while HDFS in Hadoop provides distributed storage for data analysis. This article describes the steps for an integrated installation:1, the environment of the clustercdh5.4+spark1.4.1Configuring Environment variables#javaexport java_home=/usr/java/jdk1.7.0_67-clouderaexport java_bin= $JAVA _home/binexport classpath=.: $JAVA _home/ Lib/dt.jar: $JAVA

Come up this morning. The company found that Cloudera manager had an HDFS warning, such as:The solution is: 1, the first to solve the simple problem, check the warning set threshold of how much, so you can quickly locate the problem where, sure enough journalnode sync status hint first eliminate, 2, and then solve the sync status problem, first find the explanation of the prompt , visible on the official web. Then check the configuration parameters th

First of all, the environment, there are two clusters, a new one of the old, is going to put the new debugging good then turn the old off.NEW: Cloudera Express 5.6.0,cdh-5.6.0Old: Cloudera Express 5.0.5,cdh-5.0.5A problem was found during the new cluster setup, the following command was used to create an index to the Lzo file, the job could not be committed to the specified queue in the new cluster, and the

a separate//beginning or caption in the title. 1. Choose the best installation packageFor a more convenient and standardized deployment of the Hadoop cluster, we used the Cloudera integration package.Because Cloudera has done a lot of optimization on Hadoop-related systems, many bugs have been avoided due to different versions of the system.This is also recommended by many senior Hadoop administrators.htt

1. Installing the SDK Yum-y Install Unzip Yum-y Install Zip Curl-s "Https://get.sdkman.io" | Bash Execute under new terminal: Source "$HOME/.sdkman/bin/sdkman-init.sh" The check is sufficient to install successfully: (1) SDK version (2) SDK Help Supplemental Removal SDK Tar zcvf ~/sdkman-backup_$ (date +%f-%kh%m). tar.gz-c ~/. Sdkman RM-RF ~/.sdkman 2. Installing Gradle SDK install Gradle3. Download Es-hadoopCd/data/toolsgit clone https://github.com/elastic/elasticsearch-hadoop.git 4. Compil

Label:Error Description: Since my Hadoop cluster is automatically installed with Cloudera Manager online, their installation path must follow the Cloudera rules, and only see the official documentation for Cloudera, see:/http Www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/cdh_ig_jdbc_driver_insta

ah,09h lea dx,h9 int 21h mov ah,01h int 21h CMP al,36h JG kerror CMP al,30h JB kerror cmp al,31h JE N1 cmp al,32h JE N2 cmp al, 33h JE N3 cmp al,34h JE N4 cmp al,35h JE N5 cmp al,36h JE exit N1:huanhang call Input jmp N0 N2:huanhang mov ah,09h lea dx,h10 int 21h call NewFile jmp N0 Huanhan G N3:huanhang mov ah,09h lea dx,h11 int 21h call WriteFile Huanhang jmp N0 N4:hu Anhang mov ah,09h lea Dx,h12 int 21h call ReadFile huanhang jmp N0 N5:huanhang Call output jmp N0 kerror:call error1 exit

layer, is the CPU L1 or L2 cache of the corresponding cache line invalid); Third: Because the cached row of the cached variable stop in thread 1 's working memory is invalid, thread 1 reads the main memory again when the value of the variable stop is read. Then thread 2 modifies the stop value (there are 2 operations here, of course). Modifying the value in the thread 2 working memory and then writing the modified value to memory invalidates the cached row of the cached variable stop in the w

before writing the volatile variable).Thread A writes a volatile variable, and then thread B reads the volatile variable, which essentially is thread a sending a message to thread B through main memory. Does 5.volatile guarantee atomic sex? Knowing from above that the volatile keyword guarantees the visibility of the operation, but does volatile guarantee that the operation of the variable is atomic? Let's look at an example: public class Test {public volatile int

Ebook sparkadvanced data analytics, sparkanalytics This book is a practical example of Spark for large-scale data analysis, written by data scientists at Cloudera, a big data company. The four authors first explained Spark based on the broad background of Data Science and big data analysis, then introduced basic knowledge about Data Processing Using Spark and Scala, and then discussed how to use Spark for machine learning, it also introduces several

without a password. Download binfileCloudera Manager: http://archive-primary.cloudera.com/cm5/installer/5.3.2/cloudera-manager-installer.bin Download the rpm package required by Cloudera ManagerURL: http://archive.cloudera.com/cm5/redhat/6/x86_64/cm/5.3.2/RPMS/x86_64/ Install the rpm filePut the downloaded rpm package in the folder rpm (the folder name is random)$ Cd./rpm (enter the rpm directory)$ Yum

How to do integration, in fact, especially simple, online is actually a tutorial.http://blog.csdn.net/fighting_one_piece/article/details/40667035 look here.I'm using the first integration. When you do, there are a variety of problems. Probably from from 2014.12.17 5 o'clock in the morning to 2014.12.17 night 18 o'clock 30 summed up in fact very simple, but do a long time AH Ah!!! This kind of thing, a fall into your wit. Question 1, need to refer to a variety of packages, these packages to bre