CENTOS installs CDH and Kudu-1
edition:
CENTOS7.2CDH5.10Kudu1.2
2.1 general
This article centos7 2. The process of operating system deploying CDH Enterprise Edition. The installation of Cloudera enterprise data center is mainly divided into four steps:
Cluster server configuration, including installing operating system, closing firewall, synchronizing server clock, etc ...
Added by bdata28 on Thu, 10 Feb 2022 01:07:22 +0200
iptables are shielded according to the specified country (installation and use of GEOIP module)
iptables are shielded according to the specified country (installation and use of GEOIP module)
This process is suitable for Centos7* system
1, Install iptables addons (geoip module)
1. Download lux source wget http://repo.iotti.biz/CentOS/7/noarch/lux-release-7-1.noarch.rpm
2. Install lux source rpm -ivh lux-release-7-1.noarch.rpm --f ...
Added by calavera on Thu, 10 Feb 2022 01:03:20 +0200
Introduction to particle swarm optimization algorithm. Determination of inertia weight w
Introduction to particle swarm optimization 03: with Matlab and python code (PSO)
VIII:
Inertia weight w reflects the ability of particles to inherit the previous velocity. Shi Y first introduced inertia weight w into PSO algorithm, and analyzed and pointed out that a larger inertia weight value is conducive to global search, while a smaller ...
Added by firstcoastshopping on Thu, 10 Feb 2022 00:58:35 +0200
Honorary course of data structure - first experiment - problem solving Report
1, Repeat count
subject
In a finite sequence of positive integers, some numbers will appear repeatedly. Please count the number of occurrences of each number, and then output the number and its number in the order of the first occurrence of the number in the sequence.
Input format:
In line 1, an integer N represents the number of intege ...
Added by sureshp on Thu, 10 Feb 2022 00:46:15 +0200
Microservice architecture learning SpringBoot integration Druid
Microservice architecture learning SpringBoot integration Druid
Introduction to Druid
A large part of Java programs need to operate the database. In order to improve the performance, they have to use the database connection pool when operating the database. Druid is a database connection pool implementation on Alibaba's open source platf ...
Added by phpn00bf4life on Thu, 10 Feb 2022 00:41:58 +0200
dried food! Illustrated Elastic search secret collection, practical enough
Inverted index
At present, the mainstream index technology of full-text search engine is the way of inverted index. The traditional way to save data is: record → word. The way of storing data in inverted index is: word → record. The inverted index is constructed based on word segmentation technology. When each record saves data, it w ...
Added by mastercjb on Thu, 10 Feb 2022 00:39:39 +0200
Stateless application: Deployment replica application and horizontal expansion
Words in this article:
replace(/r ɪˈ ple ɪ s /) replacement and substitution; In this article, the modified yaml file replaces the old yaml file rollout(/ ɑː ®/) record; In this article is a copy version of deploy that records history describe(/d ɪˈ skra ɪ b /) description; In this article, it means to record the process scale(/ske ɪ l ...
Added by free2code on Thu, 10 Feb 2022 00:31:19 +0200
Analysis of loopback service model in the first six chapters of UNP
This paper tries to analyze the retroreflective service model in UNP up to Chapter 6, focusing on why and how the code does it. The following codes correspond to 5-12 tcpserv04 in the book c,6-13 strcliselect02.c.
Server code:
#include <unp.h>
void sig_chld(int signo) {
pid_t pid;
int stat;
while ((pid = waitpid(-1, & ...
Added by markyoung1984 on Thu, 10 Feb 2022 00:27:22 +0200
Use C # to obtain Kubernetes cluster resource information
Hello, I'm Yan Zhenfan, a researcher of Microsoft MVP laboratory in this issue. Today, I will share with you through code examples how to write components using Kubernetes API Server to obtain the resource object information of the cluster from K8S.
Yan Zhenfan, Microsoft's most valuable expert, is currently learning about microservices. You ...
Added by Jeremy_North on Thu, 10 Feb 2022 00:18:47 +0200
Feature Engineering - normalization, standardization, dimensionality reduction 02
Standard zoom 1 Normalization
from sklearn.preprocessing import MinMaxScaler
def mm():
"""
normalization
:return:
"""
mm = MinMaxScaler(feature_range=(2,3))
data = mm.fit_transform([[90,2,10,40],[60,4,15,45],[75,3,13,46]])
print(data)
[[3. 2. 2. 2. ] [2. 3. 3. 2.83333333] [2.5 2.5 2.6 3. ]]
Zoom to [2,3] Th ...
Added by fatalcure on Thu, 10 Feb 2022 00:06:05 +0200