cosmopolitan VS ClickHouse

The reality is a bit different, the work on Python 3.6 was checked into the Cosmopolitan repo and I have been able to use it for production workloads that are in pure python. [0]

As Cosmopolitan Libc has evolved, it has been possible to compile more software without modifications, and that includes latest Python through a project called superconfigure[1].

Last person who tried to reproduce it from scratch did it last week (granted it too them a few days of solid work) but in the end they ended with a portable binary with Python 3.11.9, brotli, ssl and asyncio for their work related project.[2]

[0] https://github.com/jart/cosmopolitan/tree/master/third_party...

Cosmopolitan https://github.com/jart/cosmopolitan and https://justine.lol/cosmopolitan/index.html

Some genius realized that you can actually embed valid win32 programs inside valid posix shell scripts, and found a way to make a C cross-platform solution out of it, meaning that you can write C programs that compile to a single executable that will run on (quoting the site) Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS

It all started from this post.

For this .args file, put one argument per line. This will run on start. You can use `/zip/mydepencency.anything` to read from files, but if you have an executable dependency you'll need to extract it first.

You can do this with any software you can compile with comsocc, by adding a call to LoadZipArgs[1] in the main function.

It'seasy to get started, your ideas will branch out as soon as you start playing with it.

[1]: https://github.com/jart/cosmopolitan/blob/master/tool/args/a...

FWIW there is ongoing work with good progress to add websocket support to redbean (https://github.com/jart/cosmopolitan/pull/967)

Check out this comment by jart (cosmpolitan author) here: https://github.com/jart/cosmopolitan/issues/766#issuecomment...

it might help but not sure how comprehensive it is! would it be a bad idea for you to check out the source code of other popular emulators (maybe iTerm 2^0) ?

0: https://github.com/search?q=repo%3Agnachman%2FiTerm2%20ansi&...

The binary was compiled with Cosmopolitan Libc [0], and therefore the binary will execute natively on Linux, Mac, Windows, FreeBSD, OpenBSD, NetBSD, and bare metal (BIOS boot).

I would call that portable.

[0] https://github.com/jart/cosmopolitan

will go on my "to try" list where i already have cosmopolitan [2]. my last setup (windows) was shiv + wine + nsis (used that as pyinstaller had some issues)[2]

[1] https://github.com/jart/cosmopolitan/issues/141#issuecomment...

Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864

Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...

In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.

When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121

Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.

I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench

It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.

I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398

ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.

Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):

For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.

Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.

Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.

Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870

curl https://clickhouse.com/ | sh

But I continue to find garbage in some of our CI scripts.

Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files

The right way is to:

- always pin versions of all packages;