MapReduce is a computational model and a related implementation of an algorithmic model for processing and generating very large datasets. The user first creates a map function that processes a data set based on the key/value pair, outputs the middle of the data collection based on the Key/value pair, and then creates a reduce function that merges all intermediate value values with the same intermediate key value. The main two parts are the map process and the reduce process.I. MAP processing pr
processing. Several InputFormat implementations are available in the system, including the Fileinputformat to split the file, the Dbinputformat of the database input, and so on. We generally use Fileinputformat to partition, you can call the Addinputpath function input file before submitting the job, and set the path of the input file through the Setoutputpath function. Let's say we got 3 partitions here.2. Divide the contents of each partition before map After partitioning, Jobtracker will sta
experience remote access issues: Remote connection problem, by default only allow local connection, to allow other clients to connect, we can modify its configuration file, the directory of this file is located in/etc/postgresql/9.5/main, this directory has two files:1:postgresql.conf, this is a server-related, there is a listen_address address, the default only listens locally, we can modify it. 2:PG_HBA.COF, this is user rights related, there is a connection-related configuration, can be con
point is umount before removal[Email protected] ~]# LVREMOVE/DEV/MAPPER/YELLOW-TESTLVLogical Volume YELLOW/TESTLV contains a filesystem in use.[Email protected] ~]# umount/mnt/[Email protected] ~]# LVREMOVE/DEV/MAPPER/YELLOW-TESTLVDo you really want to remove active logical volume YELLOW/TESTLV? [y/n]: YLogical volume "TESTLV" successfully removed
To extend a logical volume:
Lvextend-l
MyBatis Framework Execution Process:
1, configuration mybatis configuration file, Sqlmapconfig.xml (name is not fixed)2, through the configuration file, load MyBatis running environment, create sqlsessionfactory session factorySqlsessionfactory in the actual use of a single case way.
3, through Sqlsessionfactory to create sqlsessionSqlsession is a user interface (provides operation database method), implementation object is thread unsafe, suggest sqlsession application in the method body.
4,
consider how to maximize and most effectively use CPU Memory IO;
Hive behind the Mapper tuning:1,mapper number is too large, will produce a large number of small files, because the Mapper is based on virtual machines, too much mapper create and initialize and shut down the virtual machine will consume a lot of h
1. Hadoop Java APIThe main programming language for Hadoop is Java, so the Java API is the most basic external programming interface.2. Hadoop streaming1. OverviewIt is a toolkit designed to facilitate the writing of MapReduce programs for non-Java users.Hadoop streaming is a programming tool provided by Hadoop that allows users to use any executable file or script file as mapper and reducer,For example:Use some of the commands in the Shell scripting
NBearMapping is one of the NBearV4 framework components and can be used independently. It can be used for transparent ing between any type of objects, DataRow and DataReader objects. We recommend that you use NBearLite together.
Main functions:
1. Transparent ing between any type of objects, DataRow and DataReader objects;2. Supports the. NET Nullable type;3. High Performance: the performance is about 50% faster than Reflection-based equivalent conversion. The execution time of manual code vs N
Original Address: Hadoop streaming Author:Tivoli_chen
1 Hadoop streaming
Hadoop streaming is a utility that is published with Hadoop. It allows users to create and execute maps or reduce mapreducejobs that are written using any program or script. For example,
$HADOOP _home/bin/hadoop jar $HADOOP _home/hadoop-streaming.jar
-input myinputdirs
-output Myoutputdir
-mapper/bin/cat
-REDUCER/BIN/WC
2hadoop straming Working mode
In the above exampl
Requirements: The virtual machine needs to expand the hard disk capacity, through the Vcenter Edit resource settings, the original 50G expansion to 100G. But not immediately. The following actions are available:650) this.width=650; "src=" Http://s4.51cto.com/wyfs02/M00/83/B1/wKioL1d6mWuCIUL8AAA4Dt_3u9w879.png "title=" Qq20160705011341.png "alt=" Wkiol1d6mwuciul8aaa4dt_3u9w879.png "/>After the modified 100G, log in to the virtual machine to view the following:[Email protected]_test etc]# df-hFile
) {e.printstacktrace ();}} @Testpublic void Testfinduserbyid () {User user = Userdao.finduserbyid (27); SYSTEM.OUT.PRINTLN (user);} @Testpublic void Testfindusersbyname () {listThere are some problems with the original DAO Development:(1) There is a certain amount of template codeFor example: Create sqlsession through Sqlsessionfactory, invoke Sqlsession method to manipulate database, close sqlsession.(2) There are some hard-codedWhen you invoke the Sqlsession method to manipulate the database,
Requirements: The virtual machine needs to expand the hard disk capacity, through the Vcenter Edit resource settings, the original 50G expansion to 100G. But not immediately. The following actions are available:650) this.width=650; "src=" Http://s4.51cto.com/wyfs02/M00/83/B1/wKioL1d6mWuCIUL8AAA4Dt_3u9w879.png "title=" Qq20160705011341.png "alt=" Wkiol1d6mwuciul8aaa4dt_3u9w879.png "/>After the modified 100G, log in to the virtual machine to view the following:[Email protected]_test etc]# df-hFile
default partition is unreasonable./root only has around 300 GB, while/home has about GB: first, you can run the following command to view the status of your partition: [root @ localhost ~] # Df-h (view partition status) file system capacity used available % mount point/dev/mapper/VolGroup-lv_root 154G 7.9G 139G 6%/tmpfs 1.9G 100 K 1.9G 1%/dev/shm/dev/sda1 485 M 69 M 391 M 15%/boot/dev/mapper/VolGroup-lv_ho
Analyzing the MapReduce execution processWhen MapReduce runs, it reads the data files in HDFs through the Mapper run task, and then calls its own method, processes the data, and outputs it. The reducer task receives the data output from the Mapper task as its input data, calls its own method, and finally outputs it to the HDFs file.Mapper the execution process of a taskeach
We talked about all crud tests a few days ago. The following is an optimization of the crud example:1. typealiases: In the usermapper. xml file in the example, you can see that when using the user type, you need to write the full qualified name of the user class. In the mybatis-config.xml, you can use the typealiases element to simplify this operation:Add in mybatis-config.xml:CD. itcast. mybatis. domain. the user has a simplified name: User. Then, you can use the user in the
OriginalFirst, the purposeWhen using the CentOS6.3 version of the Linux system, found that the root directory (/) is not enough space, and other directory space is very free, so this article is mainly for the existing space to adjust. First, let's look at the spatial distribution of the system:
[Email protected]/]# df-h
Filesystem Size used Avail use% mounted on
/dev/mapper/vg_centos-lv_root
50G 14G 34G 30%/
Tmpfs 1.9G 0 1.9G 0%/dev/shm
In linux (centos6), you can adjust the size of the Mount partition and install centos6. we recommend that you use auto-recommended partitions. in this case, the/home partition is too large. Target:/home is 20 GB, and the remaining value is added to the/Directory. 1. View partition mode [root @ localhost ~] # Df-H file system capacity has been available... linux (centos 6) adjust the Mount partition size install centos6 use auto recommended partition, found a problem/home partition is too large.
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