data format in hadoop

Parse json format data and parse json format Goals Read the json format data in the file, and one row is a json format data. It is parsed and encapsulated into Entity classes. Parse jso

Asp.net exports Excel/Csv text format data, csv text format I just started to work on Excel-related projects, so I should record all the problems regardless of the size. By chance, when adding data, all the data is converted into numbers, and the result output is automatical

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A few days ago received a task, from Gerrit on the SSH command to get some commit-related data into a text document, and then put the data into Excel. The data format is as shownIt is observed that the existence of data in a text document conforms to a certain

A few days ago received a task, from Gerrit on the SSH command to get some commit-related data into a text document, and then put the data into Excel. The data format is as shownIt is observed that the existence of data in a text document conforms to a certain

Background data creationtime in the background is the date typeMilliseconds into the May-2 April day format. Get the month day get date Otime function Getmoth (str) { var odate = new Date (str), Omonth = Odate.getmonth () +1, Oday = Odate.getdate (), Otime = Getzf (omonth) +'-' + GETZF (oday);//Last splicing time return otime; }; Console.log (Getmoth (1465959000));//How to use Millisec

Data storage (bucket table) bucket table for hive A bucket table is a hash of the data, which is then stored in a different file. For example, to create three buckets, the principle of creating a bucket is to create a bucket according to the name of the middle school student in the left table. In this way, the left side of the data in the bucket can

is passed in, and the cancellation state of the cancellation iscancelled is true, exit the while loop directlyif(Canceler! = null canceler.iscancelled ()) {return; }Longnow = Monotonicnow ();//Calculates the current cycle end time. and stored in the curperiodend variable.LongCurperiodend = Curperiodstart + period;if(Now //wait for the next cycle so that Curreserve can addTry{Wait (curperiodend-now); }Catch(Interruptedexception e) {//Terminate throttle, and reset the interrupted state to ensure

Configured implements Tool{21 enum Counter{22 LINESKIP;23 }24 25 public static class Map extends Mapper A small problem occurs when the cluster is packaged and run in eclipse. Version mismatch. Originally, JDK 7 was used in windows during compilation. in Linux, hadoop JDK is 1.6. Compile the source code in Linux 1.6. In practice, I also learned a little bit. If the input and output paths such as input output are used in run

It takes some extra work for the Java program to recognize the HDFs URL scheme for Hadoop. The method used is to invoke the Seturlstreamhandlerfactory method of the Java.net.URL object through the Fsurlstreamhandlerfactory instance. This method can only be called once per Java virtual machine, so it is usually called in a static method.The procedure is as follows: PackageCom.lcy.hadoop.file;ImportJava.io.InputStream;ImportJava.net.URL;Importorg.apache

MAVEN environment did not import execution: Export M2_home=/usr/share/maven export path= $PATH: $M 2_home/binSubsequently compiled: MVN packageProblems encountered:Cannot run Program "autoreconf" installs the dependent libraries mentioned aboveCannot FIND-LJVM this error because the libjvm.so that installed the JVM was not linked to/usr/local/lib. If your system is AMD64, you can do the following to solve the problem:ln -s /usr /java/jdk17.0_75/jre/lib/amd64/ server/libjvm. /usr /local/lib/

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the top of the HQL, so why is there a single map execution time of more than 10 hours, looking at the Kill Map task counter information, such as the following:The single map task reads 10G of data from the HDFs. No, it shouldn't be. The data files that are processed are not fragmented, and a single map task processes a single large file. With this kind of push test, I went to check the hql inside the two t

the counter information of the kill map task, as follows: It turns out that a single map task reads 10 Gb of data from HDFS. No, it's hard to say that the data files to be processed are not sharded. A single map task processes a single large file, with such speculation, I checked the files under the two table directories in hql. The following are all files in the lzo

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MapReduce LearningMAP ": The main node reads input data, divides it into small chunks that can be solved in the same way (here is a divide-and-conquer idea), and distributes these small chunks to different working nodes (Worder nodes), each working node (worder node) Loop to do the same thing, this is going to be a tree-row structure (many of the models in distributed computing are related to graph theory, PageRank is also), and each leaf node has to

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filter in the WHERE clause--or write in the join clause• Easy to confuse problem is the case of table partitioningSelect C.val, d.val from C left OUTER JOIN D on (C.key=d.key)WHERE a.ds= ' 2010-07-07 ' and b.ds= ' 2010-07-07 '• If no record of the corresponding C table is found in the D table, all columns in the D table are listed as NULL, including the DS column. That is, join filters all records in the D table that match the C table join key cannot be found. In this case, the left OUTER cause