How to set the Redis memory size according to business needs?
Apr 10, 2025 pm 02:18 PMRedis memory size setting needs to consider the following factors: data volume and growth trend: Estimate the size and growth rate of stored data. Data type: Different types (such as lists, hashes) occupy different memory. Caching policy: Full cache, partial cache, and phasing policies affect memory usage. Business Peak: Leave enough memory to deal with traffic peaks.
How to set the Redis memory size according to business needs? This question is very good. It seems simple, but it is actually full of mystery. Many friends think that the larger the memory, the better. If you simply and roughly pile up memory, you will either waste resources, or perform performance degradation or even downtime due to memory fragmentation. In fact, Redis memory settings are a technical job that requires careful calculations based on actual business scenarios.
Let’s start with the basics. Redis is mainly used as cache, database, message queue, etc. It itself is a memory database, so the memory size directly determines how much data it can store. The memory is too small, the cache hit rate is low, the database reads and writes slowly, and the message queue is easily blocked; the memory is too large, and resources are wasted, and the complexity of memory management has also increased. Therefore, it is crucial to find a balance point.
So, how to find this balance point? There is no universal formula, and the following factors need to be considered comprehensively:
- Data volume: This is the most intuitive. How much data do you need to store? What is the average size of each key-value pair? This determines your minimum memory requirement. Don’t forget to consider the growth trend of the data and leave a certain margin.
- Data type: Redis supports multiple data types, such as String, List, Set, Hash, Zset, etc. Different types of data take up different memory sizes. For example, a List with a large number of elements consumes more memory than a simple String. It needs to be evaluated based on the type of data actually used by the business.
- Caching strategy: How do you plan to use Redis for caching? Is it full cache or partial cache? What is the cache elimination strategy? LRU, LFU and other strategies have a great impact on memory usage efficiency. A suitable caching strategy reduces memory usage while ensuring performance.
- Business Peak: What is the peak period of your business traffic? How many requests does Redis need to process during peak periods? This will affect your memory needs. You need to reserve enough memory space to deal with peak traffic.
Next, I use a piece of Python code to simulate the memory estimation process. The code style is relatively casual, don't mind:
<code class="python">import math def estimate_redis_memory(data_size_gb, data_type_factor, growth_factor, peak_factor): """ Estimates Redis memory size based on various factors. Args: data_size_gb: Estimated data size in GB. data_type_factor: Factor to account for data type overhead (eg, 1.2 for lists). growth_factor: Factor to account for future data growth (eg, 1.5). peak_factor: Factor to account for peak traffic (eg, 1.2). Returns: Estimated Redis memory size in GB. """ base_memory = data_size_gb * data_type_factor * growth_factor peak_memory = base_memory * peak_factor return math.ceil(peak_memory) #向上取整,保證安全#Example data_size = 10 # GB data_type = 1.2 # List type, for example growth = 1.5 # Expect 50% growth peak = 1.2 # Expect 20% peak traffic estimated_memory = estimate_redis_memory(data_size, data_type, growth, peak) print(f"Estimated Redis memory: {estimated_memory} GB")</code>
This code is just a simple estimate, and the actual situation may be more complicated. You need to adjust the parameters according to your specific business scenario.
Finally, let me talk about experience. Don't set a large memory value from the beginning. You can start from a small scale, gradually increase it, monitor memory usage, and adjust the memory size according to the monitoring data. Redis provides a wealth of monitoring tools that can help you better manage memory. Remember that monitoring and adjustment are a continuous process, don't expect to be in place at once. Only by practicing the truth, trying more and summarizing more can you find the Redis memory setting solution that is most suitable for your business.
The above is the detailed content of How to set the Redis memory size according to business needs?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

ArtGPT
AI image generator for creative art from text prompts.

Stock Market GPT
AI powered investment research for smarter decisions

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Theargparsemoduleistherecommendedwaytohandlecommand-lineargumentsinPython,providingrobustparsing,typevalidation,helpmessages,anderrorhandling;usesys.argvforsimplecasesrequiringminimalsetup.

Table of Contents What is Bitcoin Improvement Proposal (BIP)? Why is BIP so important? How does the historical BIP process work for Bitcoin Improvement Proposal (BIP)? What is a BIP type signal and how does a miner send it? Taproot and Cons of Quick Trial of BIP Conclusion?Any improvements to Bitcoin have been made since 2011 through a system called Bitcoin Improvement Proposal or “BIP.” Bitcoin Improvement Proposal (BIP) provides guidelines for how Bitcoin can develop in general, there are three possible types of BIP, two of which are related to the technological changes in Bitcoin each BIP starts with informal discussions among Bitcoin developers who can gather anywhere, including Twi

Identifyrepetitivetasksworthautomating,suchasorganizingfilesorsendingemails,focusingonthosethatoccurfrequentlyandtakesignificanttime.2.UseappropriatePythonlibrarieslikeos,shutil,glob,smtplib,requests,BeautifulSoup,andseleniumforfileoperations,email,w

When the reset computer is stuck, wait and observe the activity of the hard disk to confirm whether it is running; then disconnect the network to avoid update interference, or enter safe mode to eliminate software conflicts; check disk errors through chkdsk, clean the SoftwareDistribution cache to fix update problems; if it is still invalid, use Windows installation media to start the repair and perform the reset operation.

AsynchronousfunctionsinPythonaredefinedusingasyncdef,allowingnon-blockingexecutionofI/O-boundtasksviaawaitinsidecoroutines;theasyncio.run()functionstartstheeventlooptorunthesecoroutines,enablingconcurrenttaskexecutionwithasyncio.create_task()andeffic

Seaborn's pairplot can be used to quickly visualize multivariate relationships. 1. Basic usage draws a scatter plot of each pair of numerical variables, and displays the distribution of each variable in diagonal lines; 2. Use the hue parameter to color by category to distinguish different categories; 3. Use the diag_kind parameter to set the diagonal chart to 'kde' or 'hist'; 4. Use the height and aspect parameters to adjust the size of the sub-graph; 5. Select specific variables to draw through the vars parameter; it is recommended to use it when the number of variables is small. Large data volumes can be combined with plot_kws to set the alpha and s to optimize the display effect. This function is an efficient and intuitive tool in exploratory data analysis.

After using the virtual environment, generate or create it manually through pipfreeze>requirements.txt to list the project dependency packages and versions to avoid unrelated packages. The production environment is recommended to fixed versions, and the development tools can be listed separately.

F-stringsprovideaconcisewaytoembedexpressionsinstrings,introducedinPython3.6,usingf"{}"syntaxwithvariables,expressions,functioncalls,andformattinglike{pi:.2f}forprecisionor{now:%Y-%m-%d}fordates,enhancingreadabilityandperformance.
