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  Learning log-join processing of hadoop

  Join method requirements: deal with input1 and input2 files, the id in both files is the same, that is, the key value is the same, the value value is different, merge the two. Input1 stores id and names, while input2 stores id and all kinds of information. Treatment method

  File processing method data output same type path procedure name sequence grouping sorting different two task information multiple object defect 2022-06-03
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  Spring-batch Learning Summary (2)-Job,Flow creation and Application, Multithreading concurrency, decision makers, listeners, parameters

  1. Job creation and its application 1.Job flow introduction: (1) State machine: for example, to complete step1, whether to continue to complete step2,step3, we need to use Job flow to control (2) to demonstrate: use next () method to achieve smooth.

  Run observe control result monitor console method listener sequence two interface data decision application database success code task effect comment 2022-06-03
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  Spring Boot integrated quartz how to implement timing tasks and support switching task data sources

  This article introduces the knowledge of "how Spring Boot integrated quartz implements timed tasks and supports switching task data sources". Many people will encounter this dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations.

  Tasks data data sources scheduling configuration switching listeners databases files methods names properties status environment projects offices different information global 2022-06-02
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  How to implement job submission by Hadoop

  Editor to share with you how Hadoop to achieve job submission, I believe that most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it! Starting from the following place, jo will be carried out

  Methods paths information files jobs customers clients clusters two directories articles runs things code content places producers processes parts production 2022-05-31
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  MapReduce of Hadoop

  1 MapReduce Overview MapReduce is a programming framework for distributed computing programs and a core framework for users to develop data analysis applications based on Hadoop. The core function of MapReduce is to combine the business logic code written by the user and its own default.

  Data file sort phase program output processing sequence user result method disk procedure type logic input business memory size demand 2022-06-03
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  How to implement Redis delay queue

  In this issue, the editor will bring you about how to achieve Redis delay queue. The article is rich in content and analyzes and describes for you from a professional point of view. I hope you can get something after reading this article. Delay queue, as its name implies, is a message queue with delay function. So, yes.

  Consumption message queue delay data time information thread structure order design business content storage mode task distributed name timer scheme 2022-06-01
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  Using BulkLoad to import Hbase table

  1. What are the problems with the traditional method of inserting HBase tables? Let's first take a look at the writing process of HBase: usually MapReduce uses TableOutputFormat to write HBase, generating p directly in map/reduce.

  File data generation mode storage output configuration method path part time source code node sorting code task example method pressure principle 2022-06-01
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  Spring Boot integrates Spring Scheduler and Quartz Scheduler

  This paper introduces the basic knowledge of Spring Boot integrating Spring Scheduler and Quartz Scheduler, uses ShedLock to solve Spring Scheduler multi-instance running conflicts, and introduces Quar.

  Field time task dynamic method configuration data support scheduling unit instance hour working day situation example expression multi-day work only just need 2022-06-03
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  Typical programming scenarios for MapReduce 2

  1.MapReduce multi-Job series    introduction: a slightly more complex processing logic often requires multiple MapReduce programs to be processed in series, and the series of multi-job can be based on the JobControl reality of the MapReduce framework.

  Data input output field class code program memory meaning counter guarantee grouping two task byte file path recursion same total score 2022-06-03
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  Typical programming scenario 1 for MapReduce

  Next, through a practical case, we introduce partition, sort and combiner in MR programming.    Traffic Statistics Project case data sample: 1363157984040 13602846565 5C Murray 0Emur8B Mel 8B-

  Traffic output results sorting demand statistics data type object total traffic rules uplink input that is sequence mobile phone method program comparator run 2022-06-03
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  Typical programming scenarios for MapReduce 3

  1. Custom InputFormat-data classification output   requirements: merge   analysis of small files:     -in data collection, small files or small batches of data are synthesized into large files and then uploaded to HDFS     -before business processing, in HDF

  File output data method content parameter type processing business object input different original two code that is efficiency array log program 2022-06-03
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  Sample code of wordcount and wordmean in hadoop

  Editor to share with you the sample code of wordcount and wordmean in hadoop. I hope you will get something after reading this article. Let's discuss it together. Note that hadoop src can be downloaded from the hadoop official website

  Code example beginning article next author finished experience more source code environment knowledge industry information information channels links channels analysis learning 2022-05-31
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  How to use Combiner

  This article introduces the relevant knowledge of "how to use Combiner". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something! 1 、 Combi

  Output data method object type path file times program content word that is local situation interface log more knowledge disk buffer 2022-06-01
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  How to deal with multibyte in hive

  Now there is a batch of data: 01 | | zs | | 1802 | ls | | 1903 | | jj | 10 the delimiter of each row is | |, which is a multi-byte delimiter. The default hive only supports a single-byte delimiter, while the data above | | multibyte, not supported. Solution party

  Data bytes delimiters fields codes regular statements extraction support query line word principle project copy interface file folder scheme time 2022-06-03
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  How to realize WordCount On Hadoop

  This article mainly introduces "how to realize WordCount On Hadoop". In daily operation, I believe many people have doubts about how to implement WordCount On Hadoop. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods.

  Learning examples official more help practical next documents articles methods theories knowledge articles websites materials follow questions easy to use practice solutions 2022-05-31
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  Typical scenarios of hbase

  1. Hbase integrates Mapreduce   . In offline task scenarios, MapReduce accesses HBASE data to speed up analysis and expand analysis capabilities. Read data from hbase (result) public class ReadH

  Data integration output task file cluster field time condition path analysis processing login configuration scenario row number middle table entry principle 2022-06-03
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  How to realize immediate Quartz Job injection into Bean in java

  This article mainly explains "how to achieve real-time Quartz Job injection into Bean in java". The explanation in this article is simple, clear and easy to learn and understand. Please follow the editor's train of thought to study and learn "how to achieve real-time Quar in java".

  Style configuration elegance code writing annotations learning complexity next content examples objects situations or verbosity simplicity business facts tasks methods 2022-06-02
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  How to realize keyless with nginx

  This article introduces the relevant knowledge of "how to achieve keyless in nginx". In the operation of actual cases, many people will encounter such a dilemma. Next, let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something! To be brief.

  Keys functions services clients random numbers clients passwords algorithms certificates generation status encryption authentication public keys parameters length grouping symmetry patterns messages 2022-06-01
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  How to quickly get started with SpringBoot-ElasticJob Encapsulation

  Today, I will talk to you about how to quickly get started with SpringBoot-ElasticJob packaging, which may not be well understood by many people. in order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article. Elastic

  Jobs parameters timers services servers distributed tasks names data configurations methods scheduling support instances total encapsulation functions methods schemes comments 2022-06-02
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  How to apply Java reflection Mechanism

  Today, the editor will share with you the relevant knowledge points about how to apply the Java reflection mechanism. The content is detailed and the logic is clear. I believe most people still know too much about this, so share this article for your reference. I hope you can get something after reading this article. Let's learn about it together.

  Skills characters configurations players selections reflections files one technique methods proprietary programs heroes mechanisms Angel Angela applications representatives examples tools knowledge 2022-06-01