JavaCPP VS planetiler

JavaCPP and presets for working with JNI

In the meantime you might want to check out JavaCPP: https://github.com/bytedeco/javacpp

Maybe you can use JavaCPP?

Here is the code for JNI, which uses the prebuilt JavaCPP library to call the getpid function. We don't have to write all the manual C binding code and rituals as the JavaCPP library already does it.

Javacpp is the best ffi library of all https://github.com/bytedeco/javacpp

As for our approach, we maintain a library called javacpp: https://github.com/bytedeco/javacpp which proves a python wheel like experience where we distribute natively optimized c/c++ code (and even cuda accelerated code) as jar files on maven central. We also are able to develop with a python like experience by passing pointers around and other low level constructs directly allowing optimizations that you typically only get in c/c++.

https://github.com/bytedeco/javacpp

* it maps naturally and efficiently many common features afforded by the C++ language and often considered problematic, including overloaded operators, class and function templates, callbacks through function pointers, function objects (aka functors), virtual functions and member function pointers, nested struct definitions, variable length arguments, nested namespaces, large data structures containing arbitrary cycles, virtual and multiple inheritance, passing/returning by value/reference/string/vector, anonymous unions, bit fields, exceptions, destructors and shared or unique pointers (via either try-with-resources or garbage collection), and documentation comments*

I did not try myself, but for JNI maybe this could make lives easier? https://github.com/bytedeco/javacpp

Worth mentioning this project (https://github.com/onthegomap/planetiler) that lets you create osm mbtiles and pmtiles pretty easy!

For a self-hosted vector tile stack you can have a look into https://github.com/onthegomap/planetiler I found it very easy to get started and when you know the other stacks it is also very fast to create these vector tiles even for planet-scale.

(note, that I'm not affiliated with them, but they use some source code from us for the efficient import and also contributed to GraphHopper, but this did not influence my experience ;) )

> I wonder why so many seem to be moving away from raster tiles to vector data.

The flexibility of styling. And you can easily serve customers that need different default languages. This makes maps also more accessible for countries without Latin alphabet.

I used https://github.com/onthegomap/planetiler and https://download.geofabrik.de, maybe it helps.

I spent a while optimizing sqlite inserts for planetiler, this is what I came up with:

https://github.com/onthegomap/planetiler/blob/db0ab02263baaa...

It batches inserts into bulk statements and is able to do writes in the 500k+ per second range, and reads are 300-400k/s using those settings.

Checkout https://github.com/onthegomap/planetiler.

Super easy way to generate a MBTiles, which you can then serve directly, or further convert to PMTiles, which can be used to host vector tiles for client-side rendering using MapLibre (or other renderers).

Raster tiles are a lot harder because you have to generate them on the server, and that's a lot more resource intensive.

I built planetiler (https://github.com/onthegomap/planetiler) for this purpose. The output up to z14 is ~80gb and depending on how big of a machine you have it takes from 30 minutes up to a few hours - no DB required, just java or docker. If you are only going to z11-12, it should be quite a bit faster/smaller.

Brandon from Protomaps is also helping add pmtiles output natively to planetiler, so you won't need a conversion step afterwards!

It's not raster directly, but you could use planetiler ( https://github.com/onthegomap/planetiler ) to build a full planet vector map . Then you could use something like TileServer-GL to server the vector map with a style. TileServer-gl ( https://github.com/maptiler/tileserver-gl) would provide a raster source that displays in the style you set on your vector map.

I recently left Twitter after 9 years, most recently serving as tech lead for the knowledge graph group (was 45 people). I helped apply the KG to drive a large portion of Twitter’s revenue and new product launches. In my spare time I do data visualization and web mapping, most recently https://github.com/onthegomap/planetiler