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Source code analysis of Hadoop Data Input

= computeSplitSize (goalSize, minSize, blockSize ); Long bytesRemaining = length; While (double) bytesRemaining)/splitSize>SPLIT_SLOP){ String [] splitHosts = getSplitHosts (blkLocations, Length-bytesRemaining, splitSize, clusterMap ); Splits. add (new FileSplit (path, length-bytesRemaining, splitSize, SplitHosts )); BytesRemaining-= splitSize; } If (bytesRemaining! = 0 ){ Splits. add (new FileSplit (path

Important MapReduce component-Recordreader component

. longwritable; import Org. apache. hadoop. io. text; import Org. apache. hadoop. mapreduce. inputsplit; import Org. apache. hadoop. mapreduce. recordreader; import Org. apache. hadoop. mapreduce. taskattemptcontext; import Org. apache. hadoop. mapreduce. lib. input. Filesplit; import Org. apache. hadoop. util. linereader; public class myrecordreader extends recordreader {private long start; private long end; private long Pos; private fsdatainputstrea

Analysis of three problems of data partition, split scheduling and data reading of InputFormat

that only InputFormat will care. When a split is required to be read, its corresponding inputsplit is passed to the InputFormat's second interface function Getrecordreader, which is then used to initialize a recordreader to parse the input data. In other words, the important information that describes split is hidden, and only specific inputformat know for themselves. It is only necessary to ensure that the inputsplit returned by Getsplits and Getrecordreader are the same implement Inputsplit.

Vb. NET upload picture and display in DataGrid

' If the file you want to upload is not empty If intimgsize ' If greater than 8K, it is forbidden to upload If intimgsize > 8000 Then Label1.Text = "Picture Too large" Exit Sub End If ' Define a variable to store the file type of the user uploading the image Dim Strimgtype as String = PostedFile. ContentType ' Only pictures in. gif format are accepted. Dim Filesplit () as String = Split (Strimgtype, "/") Strimgtype =

Analysis of three problems of data partition, split scheduling and data reading of InputFormat

that only InputFormat will care. When a split is required to be read, its corresponding inputsplit is passed to the InputFormat's second interface function Getrecordreader, which is then used to initialize a recordreader to parse the input data. In other words, the important information that describes split is hidden, and only specific inputformat know for themselves. It is only necessary to ensure that the inputsplit returned by Getsplits and Getrecordreader are the same implement Inputsplit.

Input inputformat -- sequencefileinputformat

splitsize * split_slop) While ((( Double ) Bytesremaining)/splitsize>Split_slop) {string [] splithosts = Getsplithosts (blklocations, Length - Bytesremaining, splitsize, clustermap); splits. Add ( New Filesplit (path, length- Bytesremaining, splitsize, splithosts); bytesremaining -= Splitsize ;} // Return splits If (Bytesremaining! = 0 ) {Splits. Add ( New Filesplit (path, length- Byt

Hadoop fileinputformat implementation principle and source code analysis

slices for each file. For each file, the process of generating slices can be roughly summarized into the following five key steps: obtain the file path and length (1). If the file length is 0, an "empty" slice is generated (5). If the file length is not 0, obtain the data block information of the file (2). If the file format cannot be sliced, the entire file is generated as a slice (4). If the file format can be sliced, generate slices for the file (3 ). Whether the file format supports slicing

Detailed MapReduce implementation data deduplication and inverted index application scenario case

extends Mapperprivate static Text key = new text ();//Word and URLprivate static Text value = new text ();//Word frequencyPrivate Filesplit filesplit;//Split object protected void Map (longwritable K1, Text v1, context context) {Get Filesplit filesplit = (filesplit) context

On InputFormat data partitioning, split scheduling, data reading problems

important descriptive information in Split is that only InputFormat will care. When a split is required to be read, its corresponding inputsplit is passed to the InputFormat's second interface function Getrecordreader, which is then used to initialize a recordreader to parse the input data. In other words, the important information that describes split is hidden, and only specific inputformat know for themselves. It is only necessary to ensure that the inputsplit returned by Getsplits and Getre

Map Quantity Control in mapreduce

("mapred.min.split.size", 1), minSplitSize);for (FileStatus file: files) { Path path = file.getPath(); FileSystem fs = path.getFileSystem(job); if ((length != 0) isSplitable(fs, path)) { long blockSize = file.getBlockSize(); long splitSize = computeSplitSize(goalSize, minSize, blockSize); long bytesRemaining = length; while (((double) bytesRemaining)/splitSize > SPLIT_SLOP) { String[] splitHosts = getSplitHosts(blkLocations,length-bytesRemaining, splitSize, clusterMap);

Text Mining instance

= index; The current small file to be processed by the block in the Combinefilesplit indexthis.conf = Context.getconfiguration ();This.totallength = Split.getpaths (). length;this.processed = false;}@Overridepublic void Close () throws IOException {}@OverridePublic Text Getcurrentkey () throws IOException, Interruptedexception {TODO auto-generated Method Stubreturn currentkey;}@OverridePublic Text GetCurrentValue () throws IOException, Interruptedexception {TODO auto-generated Method Stubreturn

Hadoop practice 2 ~ Hadoop Job Scheduling (1)

task (maptask and reducetask) and distributes them to various tasktracker services for execution.2.1.4 jobinprogress After jobclient submits a job, jobtracker creates a jobinprogress to track and schedule the job and add it to the job queue. Jobinprogress creates a batch of taskinprogress for monitoring and scheduling maptasks based on the input dataset defined in the submitted job jar (which has been broken down into filesplit, at the same time, you

Article paging Methods

(); Label1.text = articlepagebase. outputbysize (STR, request, ID );Showpagenumber. Text = articlepagebase. page; } Front-end code: Pagination Based on separators: # Region page startInt page = 1; // The initial Page code. The first page is displayed.String mypage = "1 ";If (request. querystring ["page"]! = NULL){Mypage = request. querystring ["page"];}If (mypage! = NULL) // when the page is not loaded for the first time, the result is null. Therefore, you need to determine{Page = convert.

Hadoop MapReduce Programming API Entry Series mining meteorological Data version 2 (ix)

temperature extends configured implements Tool{public static class Temperaturemapper extends Mapper{//input key, input value, output key, output value/*** @function Mapper Analysis Station data* @input key= Offset value= weather station data* @output Key=weatherstationid Value=temperature*/public void Map (longwritable key, Text value, Context context) throws IOException, InterruptedexceptionThe {//map () function also provides a context instance for the output of a key-value pairThe first step

Compression decompression for Hadoop, reduce end-of-Join,map join

documents not from a batch of files, may come from a number of files, the two batches of files are connected, this time involves the joinIn the map phase, the map function reads two files File1 and File2 simultaneously, in order to distinguish between two sources of key/value data pairs, to label each piece of data (tag), such as tag=0 that comes from file1,tag= 2 from File2. The main task of the map phase is to label the data in different files.In the reduce phase, the reduce function obtains

The InputFormat and source code analysis of Hadoop-2.4.1 Learning

When you submit a job to a Hadoop cluster, you specify the format of the job input (the default input format is textinputformat when not specified). Use the InputFormat class or InputFormat interface in Hadoop to describe the specification or format of the MapReduce job input, The InputFormat class or InputFormat interface is said to be because InputFormat is defined as an interface in the old API (hadoop-0.x), whereas in the new API (hadoop-1.x and hadoop-2.x), InputFormat is an abstract class

Verify that the file exists and is deleted

' Parameter: File name (relative path)Public Function Deleteafile (filepath)If filepath = "" Or IsNull (filepath) Then Exit FunctionDim I,filesplit,temp,filename,fileextname,temppathFilesplit = Split (filepath, "|")On Error Resume NextFor i = 0 to UBound (filesplit)temp = Server.MapPath (Filesplit (i))Fileextname = Getfileextname (filepath) (1)TempPath = Replace

Hadoop Large matrix multiplication

+"]"; } } Public Static classMatrixcomparator implements comparator Public int Compare(Node O1, node O2) {if(O1.geti () = = O2.geti ()) {return(int) (O1.GETJ ()-O2.GETJ ()); }Else{return(int) (O1.geti ()-O2.geti ()); } } } Public Static classMatrixmapper extends MapperPrivate intM =0;Private intN =0; @Overrideprotected void Map(longwritable key, Textvalue, context context) throws IOException, interruptedexception {filesplit

Mr Implementation--matrix multiplication

1 Importjava.io.IOException;2 Importorg.apache.hadoop.conf.Configuration;3 ImportOrg.apache.hadoop.io.*;4 ImportOrg.apache.hadoop.mapreduce.Job;5 ImportOrg.apache.hadoop.mapreduce.Mapper;6 ImportOrg.apache.hadoop.mapreduce.Reducer;7 ImportOrg.apache.hadoop.mapreduce.lib.input.FileInputFormat;8 ImportOrg.apache.hadoop.mapreduce.lib.input.FileSplit;9 ImportOrg.apache.hadoop.mapreduce.lib.output.FileOutputFormat;Ten ImportOrg.apache.hadoop.fs.Path; One Public classMatrix { A Public Static int

. Net News content page

ns_id =" + ID;Sqldatareader SDR = dB. getsdr (STR );If (SDR. Read ()){// This. lb_content.text = SDR ["ns_content"]. tostring ();This. lb_title.text = SDR ["ns_subject"]. tostring ();Title = SDR ["ns_subject"]. tostring (). Trim () + "_" + SDR ["ns_type"]. tostring ();This. hl_link.text = SDR ["ns_type"]. tostring ();DB. binddatalist ("select Top 8 * from news where ns_type = '" + SDR ["ns_type"]. tostring (). trim () + "'order by ns_id DESC", this. datalist1, "ns_id ");This. hl_link.navigateur

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