delete file in hadoop

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Hadoop output Lzo file and add index

) {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

Hadoop learning note _ 6_distributed File System HDFS -- namenode Architecture

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

Apache Spark 1.4 reads files on Hadoop 2.6 file system

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

Hadoop upload file times wrong: could only being replicated to 0 nodes instead of minreplication (=1) ....

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 Distributed File System: architecture and design

between blocks and specific datanode nodes. Datanode creates, deletes, and copies blocks under the command of namenode. Both namenode and datanode are designed to run on ordinary cheap Linux machines. HDFS is developed in Java, so it can be deployed on a wide range of machines. A typical Deployment scenario is that one machine runs a separate namenode node, and other machines in the cluster run one datanode instance each. This architecture does not rule out running multiple datanode on one mach

asp.net C # file operations (append, copy, delete, move files, create directories, recursively delete folders and files)

ASP tutorial. NET C # File operations (append, copy, delete, move file, create directory, recursively delete folder and file)C # Append, copy, delete, move files, create directories, recursively

Hadoop external data file path Query

log on. Mysql> select * From Tsung where tbl_name = 'sunwg _ test09 ′;Error 2006 (hy000): MySQL server has gone awayNo connection. Trying to reconnect...Connection ID: 16Current Database: hjl + --- + ----- + --- + ------ + --- + ---- + --- + ------ + ------- +| Tbl_id | create_time | db_id | last_access_time | Owner | retention | sd_id | tbl_name | tbl_type | view_expanded_text | view_original_text |+ --- + ----- + --- + ------ + --- + ---- + --- + ------ + ------- +| 15 | 1299519817 | 1 | 0 |

Hadoop Small file Merge

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

File concurrency in Hadoop map-reduce _ database Other

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

Problems with Hadoop configuration Hosts file

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

Hadoop encountered fatal Conf. Configuration: Error parsing CONF file, exception

FATAL conf.Configuration: error parsing conf file: com.sun.org.apache.xerces.internal.impl.io.MalformedByteSequenceException: Invalid byte 1 of 1-byte UTF-8 sequence.14/07/12 23:51:40 ERROR namenode.NameNode: java.lang.RuntimeException: com.sun.org.apache.xerces.internal.impl.io.MalformedByteSequenceException: Invalid byte 1 of 1-byte UTF-8 sequence.at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:1235)at org.apache.hadoop.conf.

Basic configuration file settings for Hadoop and HBase pseudo-distributed

Hadoop0.hbase-env.shExport java_home=/software/jdk1.7.0_801.core-site.xml2.hdfs-site.xml3.mapred-site.xml4.yarn-site.xml5.slavesMasterHbase:0.hbase-env.shExport java_home=/software/jdk1.7.0_80Export Hbase_classpath=/software/hadoop-2.6.4/etc/hadoopExport Hbase_manages_zk=trueExport Hbase_log_dir=/software/hbase-1.2.1/logs1.hbase-site.xmlBasic configuration file settings for

Hadoop API: Traverse the file partition directory and submit the spark task in parallel according to the data in the directory

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

Hadoop control output file naming

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

Hadoop multi-file output

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

Delete data files in oracle databases [delete a data file physically but its information

There is no simple way to delete the data file of a tablespace. The only way is to delete the entire defined tablespace. The steps are as follows (provided that the data in this data file is unnecessary ): because alterdatabasedatafilenameofflinedrop is used, a data file can

The Delete method of the file class of Java causes Analysis to delete files

First, a few of the files can be deleted and delete the file (the Test1.txt file is created in the F disk, and then you can copy the code directly to the IDE), and finally summarize the following reasons:Example one: The following example is undoubtedly able to delete the fileImport Java.io.File; Import java.io.IOExcep

Consistent File System Model of hadoop

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

Reprint: See how many blocks of a file in Hadoop and where the IP of the machine resides

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

When Rsync synchronizes, delete the destination directory than the source directory redundant file method (--delete)

In daily operations, we often use rsync as a synchronization artifact. Sometimes when synchronizing two directories, it is required to delete files in the target directory that are more than the source directory, in which case the--delete parameter of rsync can be used to implement this requirement.Like what:Synchronize the/tmp/work directory on Server A to the/tmp/work directory of Remote Server B (A and B

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