Patterns Matching and Sample Classes of spark Notes

Level has a very powerful pattern matching mechanism, which can be applied to many occasions, such as switch statements, type checking and so on. Level also provides sample classes to optimize pattern matching, which can quickly match.1.1. Matching string package cn.itcast.cases import scala.util.Random   object CaseDemo01 extends App{   v ...

Posted on Thu, 22 Aug 2019 00:15:15 -0700 by atsphpflash

Flink's checkpoint tuning in large-scale state datasets

50,000 people are interested in the road to big data, don't you know?Do you really not know the way 50,000 people care about big data becoming a god?Are you sure you really don't know the way 50,000 people are focusing on big data? Welcome to your attention The Way to Big Data Today I received a question from a classmate, which is probably: Fl ...

Posted on Sat, 17 Aug 2019 10:38:35 -0700 by markbeadle

MapReduce programming model & WordCount example

Learn MapReduce, the first programming thought that big data comes into contact with.   Preface Previously, when learning big data, a lot of things made some scattered notes, but they were not well organized. This article is also a sort of previous notes, or called output.One is to deepen your understanding, the other is to hope that these ...

Posted on Wed, 31 Jul 2019 16:41:38 -0700 by erikjan

Construction of Hadoop Large Data Processing Platform

Because of a small competition recently, it is necessary to build a data processing platform. Because of the large amount of data, I chose Hadoop. I am not very familiar with this platform, so I encountered many problems in the process of building, so I want to record it, which may be used in the future.It is not difficult to build the system. ...

Posted on Wed, 17 Jul 2019 16:27:15 -0700 by prcollin

Hadoop Cluster Modification: Adjusting Cluster Version

Links to the original text: http://www.cnblogs.com/DamianZhou/p/4184026.html Catalog Hadoop Cluster Modification and Cluster Version Adjustment Modification Notes Detailed steps 1. JDK modification 2 ...

Posted on Wed, 17 Jul 2019 13:02:17 -0700 by pesoto74

Introduction of quasi-real-time synchronization between Oracle and Hadoop cluster based on OGG

The structured data stored in Oracle is exported to Hadoop system for offline computing, which is a common data processing method. Recent scenarios need to do real-time import of Oracle to Hadoop system. Here is a case to introduce. As a commercial database solution, Oracle is difficult to acquire database transaction log spontaneously. Therefo ...

Posted on Wed, 17 Jul 2019 12:29:17 -0700 by ChaosXero

Big Data Learning: Initial Use of Data Processing Tool Pig

brief introduction Pig is a large-scale data analysis platform based on Hadoop. It provides a SQL-LIKE language called Pig Latin. The compiler of this language converts data analysis requests like SQL into a series of optimized MapReduce operations. Characteristic Focus on massive data set analysis Running on the cluster computing archit ...

Posted on Sun, 14 Jul 2019 13:03:15 -0700 by Hillu

A Cluster Load Scoring Method for HBase Load Balancing

HMater is responsible for homogenizing regions into each region server. One of the threaded tasks in the hmaster is dedicated to balancing and is executed every five minutes by default. Each load balancing operation can be divided into two steps: Generating Load Balancing Schedule Assignment Manager class execution schedule Let's go into ...

Posted on Sat, 13 Jul 2019 15:15:04 -0700 by phpnewbie8

Checkpoint process of spark source code analysis

Summary The checkpoint mechanism ensures that the DAG execution chart of Spark, an application that needs to access duplicate data, may be huge, and the computation chain in task may be long. If task fails in the middle, then the whole task needs to be recalculated very time-consuming. Therefore, it is necessary to check point of RDD, which is ...

Posted on Thu, 04 Jul 2019 13:14:08 -0700 by vMan

Pseudo-Distributed Environment Construction of Hadoop Basic Tutorial

Pseudo-distributed mode is single-node cluster mode, all daemons run on the same machine. This mode adds the function of code debugging to view memory, input/output of HDFS file system, and interaction with other daemons. with Hadoop Users log on to K-Master server remotely. On the basis of single-machine mode installation, we add configuration ...

Posted on Wed, 03 Jul 2019 10:46:55 -0700 by robinas