ip2country | fast ip - country lookup using asn database | Continuous Deployment library

by extrawurst Rust Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | ip2country Summary

ip2country is a Rust library typically used in Devops, Continuous Deployment, Nginx, Docker applications. ip2country has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

uses free (CC0) APNs lookup tables for ip to country lookup based on OpenGeoFeed.com. find the docker image on docker hub.

Support

Quality

Security

License

Reuse

Support

ip2country has a low active ecosystem.

It has 35 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

ip2country has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ip2country is current.

Quality

ip2country has no bugs reported.

Security

ip2country has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ip2country is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ip2country releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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ip2country Key Features

No Key Features are available at this moment for ip2country.

ip2country Examples and Code Snippets

No Code Snippets are available at this moment for ip2country.

Community Discussions

Trending Discussions on ip2country

limit 1 in joined table?

Spark: Faster way to join two dataframe?

Spark: efficient way to search another dataframe

QUESTION

limit 1 in joined table?

Asked 2019-Mar-07 at 10:59

tables

ip2country has 250k rows (ip ranges inserted by ascending from_ip)
sessions has 50 rows

obvious and slow (2.687 sec):

...

ANSWER

Answered 2019-Mar-07 at 10:59

Here is a similar example:

I have a table with 100 IPs (32-bit integers) and a table with 1M IP ranges. (See schema and sample data below.)

The following query is similar to yours:

Source https://stackoverflow.com/questions/55030920

QUESTION

Spark: Faster way to join two dataframe?

Asked 2019-Jan-24 at 07:48

I have two dataframe df1 and ip2Country. df1 contains the IP addresses and I am trying to map the ip addresses into geolocation information like longitude and latitude which are columns in ip2Country.

I am running it as a Spark-submit job, but the operations took a very long time even though df1 only has less than 2500 lines.

My code:

...

ANSWER

Answered 2019-Jan-24 at 07:48

If you have a big dataframe which needs to be joined with a small one - Broadcast joins are very effective. Read here: Broadcast Joins (aka Map-Side Joins)

Source https://stackoverflow.com/questions/45975620

QUESTION

Spark: efficient way to search another dataframe

Asked 2017-Aug-03 at 07:21

I have one dataframe (df) with ip addresses and their corresponding long value (ip_int) and now I want to search in an another dataframe (ip2Country) which contains geolocation information to find their corresponding country name. How should I do it in Scala. My code currently didnt work out: Memory limit exceed.

...

ANSWER

Answered 2017-Aug-03 at 00:39

You want to do a non-equi join, which you can implement by cross joining and then filtering, though it is resource heavy to do so. Assuming you are using Spark 2.1:

Source https://stackoverflow.com/questions/45472624

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ip2country

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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