big bug shuffle

This course focuses onSpark, the hottest, most popular and promising technology in the big Data world today. In this course, from shallow to deep, based on a large number of case studies, in-depth analysis and explanation of Spark, and will contain

In the process of optimizing the shuffle stage, the problem of data skew is encountered, which results in the less obvious optimization effect in some cases. The main reason is that after job completion the resulting counters is the sum of the

Transferred from: http://www.cnblogs.com/ggjucheng/archive/2013/01/03/2842860.htmlIn the process of optimizing the shuffle stage, the problem of data skew is encountered, which results in the less obvious optimization effect in some cases. The main

Spark master and spark worker hang up application recovery issues First of all, the situation in 5: 1,spark Master process hangs up 2,spark master hangs out in execution. 3,spark worker was all hung up before the task was submitted. 4,spark worker

BackgroundIt has been developed for several months with spark. The learning threshold is higher than python/hive,scala/spark. In particular, I remember that when I first started, I was very slow. But thankfully, this bitter (BI) day has passed.

Background?It has been developed for several months with spark. The learning threshold is higher than python/hive,scala/spark. In particular, I remember that when I first started, I was very slow. But thankfully, this bitter (BI) day has passed.

Questions Guide1. In standalone deployment mode, what temporary directories and files are created during spark run?2. Are there several modes in standalone deployment mode?3. What is the difference between client mode and cluster mode?ProfileIn

Problems with the original Hadoop MapReduce frameworkThe MapReduce framework diagram of the original HadoopThe process and design ideas of the original MapReduce program can be clearly seen: First the user program (Jobclient) submits a

During the optimization process in the shuffle stage, the data skew problem is encountered, which makes the optimization effect less obvious in some cases. The main reason is that the counters obtained after the job is completed are the sum of the

Hive optimization Summary   --- By Hualien       Hive SQLAs map reduceThere will be unexpected surprises. Understanding hadoopHiveThe foundation of optimization. This is a summary of the valuable experience of all members of the project team over