Table of Contents 1. Download 2. Upload and decompress 3. Configure environment variables 4. Copy and change the configuration file name 5. Modify the configuration file 1. Modify flume-env.sh and add Java environment variables 2. Modify nc-flume.conf 6. Start configuration file 7. Test the Flume configuration file 1. Start a new Hadoop node 2. Install […]
Tag: flume
linux installation configuration flume
Table of Contents 1. Unzip the installation package 2. Configuration and deployment (1) Modify configuration (2) Download tools (3) Create configuration file (4) Start listening test (5) flume monitoring files 1 Unzip the installation package Network disk resources are provided here Link: https://pan.baidu.com/s/1Z0aItCHMybYpXkt3_RUaVw?pwd=s6pg Extraction code: s6pg The installation package here is placed in the /opt/install […]
Use flume to import local files to HDFS specified path
Use flume to import local files to HDFS specified path 1. Flume operation 1. Edit the configuration file uploadPic.conf 2. Execute the flume command 2. Monitoring (1) flume exposes http information to the outside world, add the following parameters when starting (2) Start flume-exporter (3) prometheus receives flume-exporter indicators (4) Grafana adds dashboard and draws […]
(20) Big data practice – basic case practice of Flume data collection
Foreword In this section, we mainly introduce several basic cases of Flume data collection, including monitoring port data, real-time monitoring of a single appended file, real-time monitoring of multiple new files in the directory, real-time monitoring of multiple appended files in the directory, etc. Complete the basic use of flume data monitoring. Text Monitor port […]
Deployment instructions for Ansible, Flume, Rsyncd and other services under CentOS
Rsyncd service configuration instructions under CentOS View remaining server resources # linux can be viewed through the following command free -m top df-Th Ansible deployment steps Create the user used to start the service useradd logmanager -u 500 -M -L -G group1,group2 # -M do not create user home directory # -L locks the user. […]
Graduation project: Design and implementation of a distributed real-time log analysis and intrusion detection system based on Flume+Spark+Flask
Project source code: https://download.csdn.net/download/zy_dreamer/88038658 Screenshot of project content: Project effect: Architecture diagram: Introduction This project is a log analysis solution that integrates web log aggregation, distribution, real-time analysis, intrusion detection, data storage and visualization. Apache Flume is used for aggregation, Apache Kafka is used for distribution, Spark Streaming is used for real-time processing, Spark MLlib […]
Flume multi-stage flow, fan-in flow, fan-out flow
1. Multi-hop flow Multi-stage flow refers to the mode in which data is transmitted through multiple Flume agents (Agents). Each agent (Agent) can act as both an upstream agent (Upstream Agent) and a downstream agent (Downstream Agent) during data transmission. The upstream agent sends the data to the source of the downstream agent, and buffers […]
Big data environment construction Hadoop+Hive+Flume+Sqoop
Table of Contents zero: release notes 1. Install CentOS Two, Hadoop stand-alone configuration 3. Hive installation and deployment 4. Install and deploy Flume and Nginx Five, Sqoop installation Zero: Release notes Hadoop: 3.1.0 CentOS: 7.6 JDK: 1.8 1. Install CentOS There are a lot of online tutorials here, so I won’t post pictures [The memory […]
Full disclosure! The Flume Case of Perfect Landing of Big Data from 0 to 1_3
Case presentation Case Demo: Syslogtcp + Mem + Logger Syslogtcp: syslog is widely used for system logging. Syslog log messages can be recorded in local files or sent over the network to a server receiving syslog. The server receiving the syslog can store the syslog messages of multiple devices in a unified manner, or parse […]
Full disclosure! The Flume interceptor for the perfect landing of big data from 0 to 1
Use of interceptors During the running of Flume, Flume has the ability to modify/delete Events during the running phase, which is realized through interceptors (Interceptors). Interceptors have the following characteristics: Interceptors need to implement the org.apache.flume.interceptor.Interceptor interface. Interceptors can modify or delete events based on whatever conditions the developer chooses in the selector. The interceptor […]