) {system.exit (result); } }If you already have a Lzo file, you can add an index in the following ways:Bin/yarn jar/module/cloudera/parcels/gplextras-5.4.0-1.cdh5.4.0.p0.27/lib/hadoop/lib/ Hadoop-lzo-0.4.15-cdh5.4.0.jar com.hadoop.compression.lzo.distributedlzoindexer/user/hive/warehouse/cndns.db/ Ods_cndns_log/dt=20160803/node=alicn/part-r-00000.lzoThe LZO f
Distributed File System HDFS-namenode architecture namenode
Is the management node of the entire file system.
It maintains the file directory tree of the entire file system [to make retrieval faster, this directory tree is stored in memory],
The metadata of the file/director
scala> val file = Sc.textfile ("Hdfs://9.125.73.217:9000/user/hadoop/logs") Scala> val count = file.flatmap (line = Line.split ("")). Map (Word = = (word,1)). Reducebykey (_+_) Scala> Count.collect () Take the classic wordcount of Spark as an example to verify that spark reads and writes to the HDFs file system 1. Start the Spark shell
/root/spar
ProblemUpload file to Hadoop exception, error message is as follows:org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /home/input/qn_log.txt._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 0 datanode(s) running and no node(s) are excluded in this operation.Solve1. View the process of the problem node:Datanod
Hadoop file systemTenConfiguration conf =NewConfiguration (); One A //get remote File system -Uri uri =NewURI (Hdfsuri); -FileSystem remote =Filesystem.get (URI, conf); the - //get local file system -FileSystem local =filesystem.getlocal (conf); - + //get all
higher value, but a maximum of about tens of thousands of is still a limiting factor. Cannot meet the needs of millions of documents.
The main purpose of reduce is to merge key-value and output to HDFs, and of course we can do other things in reduce, such as file reading and writing. Because the default partitioner guarantees that the data for the same key is guaranteed to be in the same reduce, only two files are opened for reading and writing in e
In a previous blog, wrote that my Python script does not work, and later was modified Hosts file, today, a colleague again explained the next problem, found that the understanding before error.Another way to introduce this is to add all the host names and IP addresses to the hosts file for each machine.For Linux systems, modify/etc/hosts files, all machines in all Hadoo
Tag: Hive performs glib traversal file HDF. Text HDFs catch MitMThe Hadoop API provides some API for traversing files through which the file directory can be traversed:Importjava.io.FileNotFoundException;Importjava.io.IOException;ImportJava.net.URI;Importjava.util.ArrayList;Importjava.util.Arrays;Importjava.util.List;ImportJava.util.concurrent.CountDownLatch;Impo
In general, Hadoop generates an output file for each reducer file to
part-r-00000, part-r-00001 the way to name. If you need an artificial control of the output file's life
Name or each reducer need to write multiple output files, you can use the Multipleoutputs class to
Complete. Multipleoutputs the key value pairs (output key and output Value), or
Any strin
class, in overriding the Generatefilenameforkeyvalue method, it seems difficult, here is a simple operation, usingorg.apache.hadoop.mapred.lib.MultipleOutputs,also directly on the example:Input:or the statistics output to a different file.Output Result:The result is under dest-r-00000 fileCode:Package Wordcount;import Java.io.ioexception;import Java.net.uri;import java.net.urisyntaxexception;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.filesystem;import Org.apache.had
This is primarily a simple operation of the files in HDFs in Hadoop, you can add files on your own, or upload a file operation experiment directly.Go no code as follows:Package Hadoop1;import Java.io.fileinputstream;import java.io.ioexception;import java.io.inputstream;import Java.net.malformedurlexception;import Java.net.url;import Org.apache.hadoop.conf.configuration;import Org.apache.hadoop.fs.fsdataoutp
Hadoop's built-in DISTCP command, which replicates files in a map-reduce way, is very effective for copying large data folders, especially folders.
You do not need to manually specify the underlying folder to complete the replication. and the copied result file is the same as the source file name, and there is no case of part-* file.
However, for small data fil
It is equivalent to the visibility of Java synchronization. After a block is fully written, the data stored in it is visible. Even if the file description is visible, its length may be 0. even if the data has been actually written to the block.
In most cases, this does not affect our file requirements. For files stored on hadoop, we do not use the content in the
Read the file informationHadoop fsck/user/filenameIn more detailHadoop fsck/user/filename -files-blocks -locations -racks-files file chunking information,-blocks display block information with-files parameter-locations shows the specific IP location of the block block Datanode with the-blocks parameter,-racks Display rack position with-files parameterReprint: See how many blocks of a
Configure the Java environment with a virtual machine with the Bantu Linux environment.Eclipse download installs to Linux and compiles.However, eclipse runs too slow in the virtual machine and is replaced directly with the command line.Code:Vim H.java Create a Java file.For editingSave after executionEsc:wqExecute Javac H.javaJava hSuccessful executionNo reason for completion:1.eclipse is not installed, and even though it is installed, it is useless and wastes a lot of time.2. No self-learning
Hadoop cluster After running a lot of tasks
A large number of log files are generated under the Hadoop.log.dir directory.
You can have the cluster automatically purge the log files by configuring the Core-site.xml file:
Reprint http://datalife.iteye.com/blog/888974
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