osxcross
ClickHouse
osxcross | ClickHouse | |
---|---|---|
23 | 208 | |
2,731 | 34,153 | |
- | 1.3% | |
5.5 | 10.0 | |
about 1 month ago | 7 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
osxcross
- Darling: Run macOS Software on Linux
-
How to cross Compile on Debian for: Mac / FreeBSD / OpenBSD / Android ... ?
If you actually have MacOS device and can install Xcode and so on then you can proceed here and read the instructions.
-
I find it's not possible to do serious C/C++ coding on latest macOS
Have you considered using a dockerized osxcross cross compiler toolchain in your CI? Granted it is a bit clunky to setup...
-
Apple just lost its lawsuit trying to ban iOS virtual machines
Technically it's possible, but possibly not legal:
https://github.com/tpoechtrager/osxcross
> Please ensure you have read and understood the Xcode license terms before continuing.
According to the EULA you may only use the SDK on Apple-branded computers. But you can use Linux to cross compile to Apple.
- Go port of SQLite without CGo
-
Cross compile for ppc macs (10.4)
is there a way to cross compile without vms? something similar to https://github.com/tpoechtrager/osxcross?
-
Am looking for an API guru to assess how to make a project multiplatform
If you figure out how to get SDL working, one possibility is to develop on Linux, then use mingw-w64 to cross compile from Linux to windows, then use osxcross to cross-compile from Windows to OSX.
- How To Fix Your Computer
-
Rust & Cross-compiling from Linux to Mac on GitHub Actions
Thank you osxcross for creating the path forward
-
A Completely Open-Source Implementation of Apple Code Signing and Notarization
This is actually a solved problem, using osxcross[0]. The experience is honestly very smooth, and we don't require any apple proprietary binaries. The only thing apple-proprietary is their SDK (containing the header files for compiling, and tbd files for linking), which can be downloaded from apple's website (at least if you have a developer account), or from various GitHub projects archiving them.
[0]: https://github.com/tpoechtrager/osxcross
ClickHouse
-
We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
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...
-
Build time is a collective responsibility
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.
-
Fair Benchmarking Considered Difficult (2018) [pdf]
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
-
How to choose the right type of database
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.
-
Writing UDF for Clickhouse using Golang
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):
-
The 2024 Web Hosting Report
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.
-
Choosing Between a Streaming Database and a Stream Processing Framework in Python
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, a fast and lightweight alternative to Apache Flink
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
-
1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
-
We Executed a Critical Supply Chain Attack on PyTorch
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;
What are some alternatives?
mold - Mold: A Modern Linker 🦠
loki - Like Prometheus, but for logs.
eShopOnContainers - Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
fltk-rs - Rust bindings for the FLTK GUI library.
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
xcgo - Golang cross-platform builder docker image with CGo and other tooling
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
glibc_version_header - Build portable Linux binaries without using an ancient distro
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
docker-go-mingw - Docker image for building Go binaries with MinGW toolchain
datafusion - Apache DataFusion SQL Query Engine