DOGAI

DOGAI

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Offline IP positioning library, microsecond-level query with 99.9% accuracy!

In daily development work, we often need to solve the problem of IP address localization.

The traditional online API query method not only has slow response speeds but also often encounters call frequency limits, not to mention the stability issues caused by network fluctuations.

Recently, I discovered an offline IP address localization tool on GitHub: Ip2region, which resolves these concerns all at once.

Project Introduction#

This is an offline IP address localization library and IP localization data management framework that can achieve query efficiency at the level of 10 microseconds.

It also provides xdb data generation and query client implementations for many mainstream programming languages. Furthermore, the core features of this tool left a deep impression on me:

Ultra-fast response: Query efficiency reaches an astonishing level of 10 microseconds;

Offline operation: Completely localized deployment, no need to worry about network issues;

Precise localization: Supports address information across five dimensions: "Country | Region | Province | City | ISP";

Lightweight: The entire database file is only 11MB, making it very suitable for integration into various projects;

Multi-language support: Already supports 14 mainstream programming languages including Go, Java, Python, Node.js, etc.

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Convenient Installation Methods#

The installation methods vary in different programming language environments; here are a few common languages as examples:

Python environment:

pip install ipdb-python

Node.js environment:

npm install node-ip2region

Java environment:

<dependency>
    <groupId>org.lionsoul</groupId>
    <artifactId>ip2region</artifactId>
    <version>2.7.0</version>
</dependency>

Simple Usage Method#

Taking Python as an example, just a few lines of code can achieve IP address querying:

from ip2region import Ip2Region

searcher = Ip2Region("ip2region.xdb")
result = searcher.search("180.101.49.11")
print(result)  # Output: China|0|Jiangsu Province|Nanjing City|Telecom

The usage methods for other programming languages are equally simple and intuitive, almost all can be used immediately after installation.

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In Conclusion#

In big data and real-time analysis scenarios, such as e-commerce platforms and advertising placements, the performance and accuracy of IP address localization are particularly important.

By using this tool, we can not only easily handle scenarios like log analysis, user profiling, and security audits but also improve query performance by at least 1000 times.

As a developer pursuing technical efficiency, encountering such an excellent open-source tool is indeed incredibly exciting.

GitHub project address: https://github.com/lionsoul2014/ip2region

That's all for today's sharing. Thank you all for taking the time to read. See you next time, Respect!

The above content is sourced from: https://mp.weixin.qq.com/s/KpSQmfSD5jpEjs4tWfY2bw

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