3. Installation and use of linux CentOS pagoda panel svn (graphic tutorial)

Improve HDFS performance on CentOS: A comprehensive optimization guide to optimize HDFS (Hadoop distributed file system) on CentOS requires comprehensive consideration of hardware, system configuration and network settings. This article provides a series of optimization strategies to help you improve HDFS performance. 1. Hardware upgrade and selection resource expansion: Increase the CPU, memory and storage capacity of the server as much as possible. High-performance hardware: adopts high-performance network cards and switches to improve network throughput. 2. System configuration fine-tuning kernel parameter adjustment: Modify /etc/sysctl.conf file to optimize kernel parameters such as TCP connection number, file handle number and memory management. For example, adjust TCP connection status and buffer size

When configuring Hadoop Distributed File System (HDFS) on CentOS, the following key configuration files need to be modified: core-site.xml: fs.defaultFS: Specifies the default file system address of HDFS, such as hdfs://localhost:9000. hadoop.tmp.dir: Specifies the storage directory for Hadoop temporary files. hadoop.proxyuser.root.hosts and hadoop.proxyuser.ro

CentOSStream8 system troubleshooting guide This article provides systematic steps to help you effectively troubleshoot CentOSStream8 system failures. Please try the following methods in order: 1. Network connection testing: Use the ping command to test network connectivity (for example: pinggoogle.com). Use the curl command to check the HTTP request response (for example: curlgoogle.com). Use the iplink command to view the status of the network interface and confirm whether the network interface is operating normally and is connected. 2. IP address and gateway configuration verification: Use ipaddr or ifconfi

CentOS Platform Hadoop Distributed File System (HDFS) Performance Optimization Guide Optimizing HDFS Performance is a multi-faceted issue, and multiple parameters need to be adjusted for specific situations. The following are some key optimization strategies: 1. Memory management adjusts the NameNode and DataNode memory configuration: reasonably configure the HADOOP_NAMENODE_OPTS and HADOOP_DATANODE_OPTS environment variables according to the actual memory size of the server to optimize memory utilization. Enable large page memory: For high memory consumption applications (such as HDFS), enabling large page memory can reduce memory page allocation and management overhead and improve efficiency. 2. Disk I/O optimization uses high-speed storage

ZooKeeper troubleshooting guide for CentOS Systems This article provides a step-by-step guide to help you effectively troubleshoot ZooKeeper faults on CentOS systems. 1. Verify the status of ZooKeeper service: First, use the following command to check the status of ZooKeeper service: sudosystemctlstatuszookeeper If the service is not running, use the following command to start: sudosystemctlstartzookeeper To enable it to start by starting: sudosystemctlenablezookeeper2. Analyze the ZooKeeper log to check Z

Detailed explanation of MongoDB efficient backup strategy under CentOS system This article will introduce in detail the various strategies for implementing MongoDB backup on CentOS system to ensure data security and business continuity. We will cover manual backups, timed backups, automated script backups, and backup methods in Docker container environments, and provide best practices for backup file management. Manual backup: Use the mongodump command to perform manual full backup, for example: mongodump-hlocalhost:27017-u username-p password-d database name-o/backup directory This command will export the data and metadata of the specified database to the specified backup directory.

Enable Redis slow query logs on CentOS system to improve performance diagnostic efficiency. The following steps will guide you through the configuration: Step 1: Locate and edit the Redis configuration file First, find the Redis configuration file, usually located in /etc/redis/redis.conf. Open the configuration file with the following command: sudovi/etc/redis/redis.conf Step 2: Adjust the slow query log parameters in the configuration file, find and modify the following parameters: #slow query threshold (ms)slowlog-log-slower-than10000#Maximum number of entries for slow query log slowlog-max-len

Complete Guide to Checking HDFS Configuration in CentOS Systems This article will guide you how to effectively check the configuration and running status of HDFS on CentOS systems. The following steps will help you fully understand the setup and operation of HDFS. Verify Hadoop environment variable: First, make sure the Hadoop environment variable is set correctly. In the terminal, execute the following command to verify that Hadoop is installed and configured correctly: hadoopversion Check HDFS configuration file: The core configuration file of HDFS is located in the /etc/hadoop/conf/ directory, where core-site.xml and hdfs-site.xml are crucial. use