Mapper function:
Static class Analyzmapper extends Tablemapper
The above code shows that result columns all columns under the entire column family, and we can then set the column families and columns we need in the scan of the main function.
Reducer function:
Static class Analyzreducer extends Reducer
Main function:
public static void Main (string[] args) throws Exception {//TODO auto-generated Method stub System.out.print ("Ad")
;
Configuration conf = hbaseconfiguration.create (
There was an article in detail about how to install Hadoop+hbase+zookeeper
The title of the article is: Hadoop+hbase+zookeeper distributed cluster construction perfect operation
Its website: http://blog.csdn.net/shatelang/article/details/7605939
This article is about hadoop1.0.0+hbase0.92.1+zookeeper3.3.4.
The installation file versions are as follows:
Please refer to the previous article for details, a
Phenomenon:15/08/12 10:19:30 INFO MapReduce. Job:job job_1439396788627_0005 failed with state failed due to:application application_1439396788627_0005 failed 2 times Due to AM Container for appattempt_1439396788627_0005_000002 exited with exitcode:1 due to:exception from Container-lau Nch:exitcodeexception exitcode=1:Exitcodeexception exitcode=1:At Org.apache.hadoop.util.Shell.runCommand (shell.java:538)At Org.apache.hadoop.util.Shell.run (shell.java:455)At Org.apache.hadoop.util.shell$shellcomm
/**publicabstractclasstablemapper /**publicabstractclasstablereducerThis article from "in order to finger that direction" blog, declined reprint!7. Reading data from HBase writes to HDFs
] hbase]$ stop-hbase.sh stopping hbase.....................Special NOTE: If an error occurs during the operation of HBASE, the cause of the error can be viewed through the log file in the logs subdirectory under the {hbase_home} directory (/usr/hbase).3. HBase Pseudo-distrib
26 Preliminary use of clusterDesign ideas of HDFsL Design IdeasDivide and Conquer: Large files, large batches of files, distributed on a large number of servers, so as to facilitate the use of divide-and-conquer method of massive data analysis;L role in Big Data systems:For a variety of distributed computing framework (such as: Mapreduce,spark,tez, ... ) Provides data storage servicesL Key Concepts: File Cut, copy storage, meta data26.1 HDFs Use1. Vie
I. OverviewIn recent years, big data technology in full swing, how to store huge amounts of data has become a hot and difficult problem today, and HDFs Distributed File system as a distributed storage base for Hadoop projects, but also provide data persistence for hbase, it has a very wide range of applications in big data projects.The Hadoop distributed filesystem (Hadoop Distributed File System,
I. OverviewIn recent years, big data technology in full swing, how to store huge amounts of data has become a hot and difficult problem today, and HDFs Distributed File system as a distributed storage base for Hadoop projects, but also for hbase to provide data persistence, it has a wide range of applications in big data projects.Hadoop distributed FileSystem (Hadoop Distributed File System.
1.2. Quick Start-standalone HBase
This guide describes setup of a standalone HBase instance running against the local filesystem. This isn't an appropriate configuration for a production instance of HBase, but would allow you to experiment with HBase. This section shows the Create a table in
in full distribution mode:The full distribution mode modifies the corresponding configuration based on the pseudo distribution mode.1. Stop hbase[Hadoop @ mdw ~] $ Hbase-0.94.16-security/bin/stop-hbase.shStopping hbase ...........Localhost: stopping zookeeper.2. Clear the/hbase file directory in the
HBase learning Summary (5): HBase table design, hbase table
I. How to start Pattern Design When talking about schema, consider the following:(1) How many columnfamily should this table have?(2) what data does the column family use?(3) How many columns should each columnfamily have?(4) What is the column name? (Although the column name does not need to be defined
/hbase/conf under the hbase-site.xml, hbase-default.xml, hbase-env.sh these files. The procedure is as follows:
1. EditAll machinesThe command is as follows:
?
1
vi /home/hbase/conf/hbase-site.xml
Edit the file a
Scanner Lease without advancing the Regionscanner* [HBASE-13377]-Canary may generate false alarm in the first region when there is many delete markers* [HBASE-13411]-Misleading error message when request size quota limit exceeds* [HBASE-13564]-Master MBeans is not published* [HBASE-13574]-broken testhbasefsck in maste
This article is based on the example mentioned above after reading the hbase authoritative guide, but it is slightly different.
The integration of hbase and mapreduce is nothing more than the integration of mapreduce jobs with hbase tables as input, output, or as a medium for sharing data between mapreduce jobs.
This article will explain two examples:
1. Read TXT
/hbase/conf under the hbase-site.xml, hbase-default.xml, hbase-env.sh these files. The procedure is as follows:
1. EditAll machinesThe command is as follows:
vi /home/hbase/conf/hbase-site.xml
Edit the file as shown in the follo
HBase from getting started to masteringCourse Study Address: http://www.xuetuwuyou.com/course/188The course out of self-study, worry-free network: http://www.xuetuwuyou.comCourse IntroductionIn the face of large-scale data storage and real-time query, traditional RDBMS has been unable to meet, based on the HDFs of HBase came into being, each table of data can rea
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