What to do with system erp too laggy​??? Solution//Global IPLC service provider of Shigeng Communica

What to do with system erp too laggy??? Solution//Global IPLC service provider of Shigeng Communication

一、ERP (Enterprise Resource Planning) system, as the digital hub of enterprise management, its operational efficiency directly affects the overall operational efficiency of the enterprise. However, system lag and slow response have become common problems that plague many enterprises. This not only leads to low work efficiency and decreased satisfaction among employees, but may also result in serious consequences such as inconsistent data, missed business opportunities, and even customer complaints. When employees complain about "system too laggy", it may be the result of multiple reasons such as insufficient hardware resources, unreasonable network architecture, inefficient database design, low code quality or improper operation habits. This article will systematically analyze the root causes of ERP lag and provide comprehensive optimization solutions from emergency handling to fundamental solutions.

1. Quick diagnosis: Identifying the root cause of stuttering is the key first step

Before starting to solve it, it is necessary to first identify the bottleneck. Blind optimization often results in twice the effort.

1. Performance monitoring and bottleneck localization

Task Manager/Resource Monitor (Windows): Quickly view CPU, memory, disk I/O, and network utilization. Continuously exceeding 80% usually indicates the presence of bottlenecks.

Database monitoring tools, such as SQL Server Profiler and Oracle AWR reports, identify slow-moving SQL queries.

ERP comes with built-in monitoring tools: Many ERPs (such as SAP, UFIDA, Kingdee) provide built-in performance monitoring transaction codes or management backends.

Third party APM tools such as SolarWinds and Dynatrace can provide code level insights.

2. Distinguish between stuttering range and mode

Total lag vs. individual user lag: Total lag usually refers to server, network, or shared database issues; Individual user lag is more likely to be related to local environment or specific operations.

Specific module lag vs. global lag: Only slow financial modules may point to related reports or complex query issues; Global lag is more likely to be an infrastructure issue.

Timeliness: Daily lag at fixed times (such as clocking in at work or settling at the end of the month) may be related to peak concurrency or scheduled tasks.

2. Layered solution: comprehensive optimization from infrastructure to user habits

Optimization is a systematic project that requires step-by-step investigation and resolution from top to bottom.

2.1 Infrastructure Layer Optimization: Consolidating Hardware and Network Foundations

Hardware resource upgrade and optimization

CPU: Check if the CPU is continuously under high load. ERP applications and database servers are usually CPU intensive, so consider upgrading to more cores or higher frequency CPUs.

Memory: Insufficient memory is the root of all evil, which can lead to frequent use of disk swapping files in the system, greatly reducing performance. Ensure that the server has sufficient memory to accommodate commonly used data and programs. The memory of the database server should be as large as possible to cache the entire database in memory.

Storage (most crucial!): Upgrading a mechanical hard drive (HDD) to a solid state drive (SSD) is the single most cost-effective measure to improve performance. ERP involves a large number of random I/O operations, and SSD speed far exceeds HDD. Ensure the use of RAID configuration (such as RAID 10) to guarantee performance and data security.

Network: Check LAN bandwidth and latency. Ensure that the ERP server, database server, and client are located within the same high-speed LAN to avoid cross WAN access.

Network architecture optimization

Deploy the ERP server in the computer room closest to the user and with the best network quality.

For cross-border or cross regional access, consider using SD-WAN or dedicated lines to optimize network quality, significantly reducing latency and packet loss rates.

Implement QoS (Quality of Service) to allocate higher network priority for ERP business traffic.

2.2 System and Database Layer Optimization: Core Performance Engine Optimization

Database performance tuning (key to performance improvement)

Index optimization: Add appropriate indexes to frequently queried WHERE clause fields, join fields, and sort fields. Regularly rebuild indexes to eliminate fragmentation.

SQL query optimization: Identify high overhead and long-running SQL statements through monitoring tools. Optimization: Avoiding

SELECT *

Reduce subqueries and replace multiple queries with JOIN.

Partition Table: Partitioning super large tables (such as sales orders and inventory records) by time or range can greatly improve query and maintenance efficiency.

Regular maintenance: Arrange regular database maintenance tasks, such as updating statistical information, rebuilding indexes, cleaning historical logs, and temporary data.

Operating System and Middleware Configuration

Optimize operating system parameters, such as TCP/IP parameters, maximum number of file handles, etc.

Adjust the memory allocation, connection pool size, and other parameters of ERP application servers (such as Tomcat, Weblogic) and database servers to avoid improper resource configuration.

2.3 Application layer and operation layer optimization: improving software itself and usage efficiency

ERP system configuration and customization optimization

Review custom development: Many performance issues stem from inefficient secondary development code. Review and optimize custom reports, interfaces, and enhanced features.

Adjust the backend job schedule: Schedule resource intensive backend jobs (such as large data reports and batch processing) to run during non peak hours (such as nighttime and weekends).

Clean cache and temporary files: Regularly clean the cache files of ERP application servers and clients.

User operation habit guidance

Train users to avoid unnecessary full table queries and use more precise filtering criteria. Do not export large-scale data at once.

Reduce concurrency conflicts: Guide users to perform large-scale operations off peak.

Client optimization: Ensure sufficient performance of the client PC and regularly restart the client program to free up memory. Use SSD and keep the system clean.

summary

There is no one-time silver bullet to solve the problem of ERP system lag. It is a cyclical process that requires continuous monitoring, analysis, and optimization. From a cost-benefit perspective, prioritizing upgrading SSDs and optimizing databases typically brings the most significant returns.

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