This extension is designed to simplify working with domains, URIs, and web paths directly within your database queries. Whether you're extracting top-level domains (TLDs), parsing URI components, or analyzing web paths, Netquack provides a suite of intuitive functions to handle all your network tasks efficiently. Built for data engineers, analysts, and developers.
With Netquack, you can unlock deeper insights from your web-related datasets without the need for external tools or complex workflows.
netquack is distributed as a DuckDB Community Extension and can be installed using SQL:
INSTALL netquack FROM community;
LOAD netquack;If you previously installed the netquack extension, upgrade using the FORCE command
FORCE INSTALL netquack FROM community;
LOAD netquack;Once installed, the macro functions provided by the extension can be used just like built-in functions.
This function extracts the main domain from a URL. For this purpose, the extension will get all public suffixes from the publicsuffix.org list and extract the main domain from the URL.
The download process of the public suffix list is done automatically when the function is called for the first time. After that, the list is stored in the public_suffix_list table to avoid downloading it again.
D SELECT extract_domain('a.example.com') as domain;
┌─────────────┐
│ domain │
│ varchar │
├─────────────┤
│ example.com │
└─────────────┘
D SELECT extract_domain('https://b.a.example.com/path') as domain;
┌─────────────┐
│ domain │
│ varchar │
├─────────────┤
│ example.com │
└─────────────┘You can use the update_suffixes function to update the public suffix list manually.
D SELECT update_suffixes();
┌───────────────────┐
│ update_suffixes() │
│ varchar │
├───────────────────┤
│ updated │
└───────────────────┘This function extracts the path from a URL.
D SELECT extract_path('https://b.a.example.com/path/path') as path;
┌────────────┐
│ path │
│ varchar │
├────────────┤
│ /path/path │
└────────────┘
D SELECT extract_path('example.com/path/path/image.png') as path;
┌──────────────────────┐
│ path │
│ varchar │
├──────────────────────┤
│ /path/path/image.png │
└──────────────────────┘This function extracts the host from a URL.
D SELECT extract_host('https://b.a.example.com/path/path') as host;
┌─────────────────┐
│ host │
│ varchar │
├─────────────────┤
│ b.a.example.com │
└─────────────────┘
D SELECT extract_host('example.com:443/path/image.png') as host;
┌─────────────┐
│ host │
│ varchar │
├─────────────┤
│ example.com │
└─────────────┘This function extracts the schema from a URL. Supported schemas for now:
http|httpsftpmailtotel|sms
D SELECT extract_schema('https://b.a.example.com/path/path') as schema;
┌─────────┐
│ schema │
│ varchar │
├─────────┤
│ https │
└─────────┘
D SELECT extract_schema('mailto:someone@example.com') as schema;
┌─────────┐
│ schema │
│ varchar │
├─────────┤
│ mailto │
└─────────┘
D SELECT extract_schema('tel:+123456789') as schema;
┌─────────┐
│ schema │
│ varchar │
├─────────┤
│ tel │
└─────────┘This function extracts the query string from a URL.
D SELECT extract_query_string('example.com?key=value') as query;
┌───────────┐
│ query │
│ varchar │
├───────────┤
│ key=value │
└───────────┘
D SELECT extract_query_string('http://example.com.ac/path/?a=1&b=2&') as query;
┌──────────┐
│ query │
│ varchar │
├──────────┤
│ a=1&b=2& │
└──────────┘This function extracts the top-level domain from a URL. This function will use the public suffix list to extract the TLD. Check the Extracting The Main Domain section for more information about the public suffix list.
D SELECT extract_tld('https://example.com.ac/path/path') as tld;
┌─────────┐
│ tld │
│ varchar │
├─────────┤
│ com.ac │
└─────────┘
D SELECT extract_tld('a.example.com') as tld;
┌─────────┐
│ tld │
│ varchar │
├─────────┤
│ com │
└─────────┘This function extracts the sub-domain from a URL. This function will use the public suffix list to extract the TLD. Check the Extracting The Main Domain section for more information about the public suffix list.
D SELECT extract_subdomain('http://a.b.example.com/path') as dns_record;
┌────────────┐
│ dns_record │
│ varchar │
├────────────┤
│ a.b │
└────────────┘
D SELECT extract_subdomain('test.example.com.ac') as dns_record;
┌────────────┐
│ dns_record │
│ varchar │
├────────────┤
│ test │
└────────────┘This function returns the Tranco rank of a domain. You have a update_tranco function to update the Tranco list manually.
D SELECT update_tranco(true);
┌─────────────────────────────────────┐
│ update_tranco(CAST('f' AS BOOLEAN)) │
│ varchar │
├─────────────────────────────────────┤
│ Tranco list updated │
└─────────────────────────────────────┘This function will get the latest Tranco list and save it into the tranco_list table. There will be a tranco_list_%Y-%m-%d.csv file in the current directory after the function is called. The extension will use this file to prevent downloading the list again.
You can ignore the file and force the extension to download the list again by calling the function with true as a parameter. If you don't want to download the list again, you can call the function with false as a parameter.
D SELECT update_tranco(false);As the latest Tranco list is for the last day, you can download your list manually and rename it to tranco_list_%Y-%m-%d.csv to use it with the extension too.
You can use this function to get the ranking of a domain:
D SELECT get_tranco_rank('microsoft.com') as rank;
┌─────────┐
│ rank │
│ varchar │
├─────────┤
│ 2 │
└─────────┘
D SELECT get_tranco_rank('cloudflare.com') as rank;
┌─────────┐
│ rank │
│ varchar │
├─────────┤
│ 13 │
└─────────┘You can use the get_tranco_rank_category function to retrieve the category utility column that gives you the rank category of the domain. The category value is on a log10 scale with half steps (e.g. top 1k, top 5k, top 10k, top 50k, top 100k, top 500k, top 1M, top 5m, etc.) with each rank excluding the previous (e.g. top 5k is actually 4k domains, excluding top 1k).
D SELECT get_tranco_rank_category('microsoft.com') as category;
┌──────────┐
│ category │
│ varchar │
├──────────┤
│ top1k │
└──────────┘This extension provides various functions for manipulating and analyzing IP addresses, including calculating networks, hosts, and subnet masks.
The ipcalc function takes an IP address and netmask and calculates the resulting broadcast, network, wildcard mask, and host range.
It's a table function that provides various details about IP addresses including:
- Address
- Netmask
- Wildcard
- Network / Hostroute
- HostMin
- HostMax
- Broadcast
- Hosts count
You can use this table function with your data easily:
D CREATE OR REPLACE TABLE ips AS SELECT '127.0.0.1' AS ip UNION ALL SELECT '192.168.1.0/22';
D SELECT i.IP,
(
SELECT hostsPerNet
FROM ipcalc(i.IP)
) AS hosts
FROM ips AS i;
┌────────────────┬───────┐
│ ip │ hosts │
│ varchar │ int64 │
├────────────────┼───────┤
│ 127.0.0.1 │ 254 │
│ 192.168.1.0/22 │ 1022 │
└────────────────┴───────┘You can use the netquack_version function to get the version of the extension.
D select * from netquack_version();
┌─────────┐
│ version │
│ varchar │
├─────────┤
│ v1.1.0 │
└─────────┘- Create a
TableFunctionforextract_query_parametersthat return each key-value pair as a row. - Implement
extract_portfunction - Implement
extract_custom_formatfunction - Implement
parse_urifunction - Save Tranco data as Parquet
- Implement GeoIP functionality
- Return default value for
get_tranco_rank - Support internationalized domain names (IDNs)
Don't be shy and reach out to us if you want to contribute 😉
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request
Each project may have many problems. Contributing to the better development of this project by reporting them. 👍