This article describes the resolution process for job recalculation when submitting jobs in CentOS 6.5 to Hadoop 1.2.1 encountered Error:java heap space errors in the reduce phase. Workaround for Linux, Mac os X, and Windows operating systems.Environment: Mac OS X 10.9.5, IntelliJ idea 13.1.4, Hadoop 1.2.1Hadoop is placed in a virtual machine, and the host is connected via SSH, IDE and data files on the hos
instancesSo Java serialization is very powerful, the serialization of the information is very detailed, but the serialization of memory.2.Hadoop serializationCompared to the JDK relatively concise, in the urgent mass of information transmission is mainly by these serialized byte building to pass, so faster speed, smaller capacity.Features of Hadoop serialization
Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services? Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services?
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Why does data analysis generally use java
First, build the Hadoop development environment
The various codes that we have written at work are run on the server, and the operation code of HDFS is no exception. In the development phase, we use eclipse under Windows as the development environment to access HDFS running in the virtual machine. That is, access to HDFS in remote Linux through Java code in local eclipse.To access HDFs in the clien
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
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Training Big Data Architecture development!from zero-based to advanced, one-to-one training! [Technical qq:2937765541]--------------------------------------------------------------------------------------------------------------- ----------------------------Course System:get video material and training answer technical support addressCourse Presentation ( Big Data technology is very wide, has been online for you training solutions!) ):get video material and training answer technical support ad
and B2 a given starting position (S1 and S2) and an integer of length L1 and L2 directly. Public interface Rawcomparator Writablecomparator: is a generic implementation of Rawcomparator, offering two features: provides a default implementation of a Rawcomparator Comparea (), The default implementation simply deserializes the key and then compares it, with no performance benefit. Second, it acts as a factory method for Rawcomaprator instances. when we want to implement a custom key sort (custom
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Hadoop HDFS Java APIMainly Java operation HDFs Some of the common code, the following direct code:Package Com.uplooking.bigdata.hdfs;import Org.apache.hadoop.conf.configuration;import org.apache.hadoop.fs.*; Import Org.apache.hadoop.fs.permission.fspermission;import Org.apache.hadoop.io.ioutils;import org.junit.After; Import Org.junit.before;import or
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First, the commonly compiled Hadoop library is in Lib, if you do not want to compile, you can use the lib/native inside the precompiled library, and then move the native library to the Lib folder.CP hadoop-2.6.0/lib/native/* hadoop-2.6.0/lib/Second, add the system variableExport Hadoop_common_lib_native_dir=/home/administrator/work/
Part 1W3cschool's MongoDB java:http://www.w3cschool.cc/mongodb/mongodb-java.htmlMongoDB Java Drive use collation: http://blog.163.com/wm_at163/blog/static/132173490201110254257510/MongoDB Java version driver: http://www.aichengxu.com/view/13226Mongo-java-driver Download: http://central.maven.org/maven2/org/mongodb/mongo-java
1. Installing hiveBefore installing hive, make sure that Hadoop is installed, if it is not installed, refer to Centoos install Hadoop cluster for installation; 1.1, download, unzipDownload hive2.1.1:http://mirror.bit.edu.cn/apache/hive/hive-2.1.1/apache-hive-2.1.1-bin.tar.gz;Unzip the downloaded hive package into/usr/local tar -zxvf apache-hive-2.1.1-bin.tar.gz -C /usr/local/Go to the/usr/local dir
The command to run the MapReduce jar package is the Hadoop jar **.jar
The command to run the jar package for the normal main function is Java-classpath **.jar
Because I have not known the difference between the two commands, so I stubbornly use Java-classpath **.jar to start the MapReduce. Until today there are errors.
Java
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