Synopse Open Source

Since the beginning, we delegated the TLS encryption support to a reverse proxy server, mainly Nginx. Under Windows, you could setup the http.sys HTTPS layer as usual, as a native - even a bit complicated - solution.
Nginx has several advantages, the first being a proven and efficient technology, with plenty of documentation and configuration tips. It interfaces nicely with Let's Encrypt, and is very good for any regular website, using static content and PHP. This very blog and the Synopse web site is hosted via Ngnix on a small Linux server.

But in mORMot 2, we introduced a new set of asynchronous web server classes. So stability and performance are not a problem any more. Some benchmarks even consider this server to be faster than nginx (the stability issue mentioned in this post has been fixed in-between).
We just introduced TLS support of our socket-based servers, both the blocking and asynchronous classes. It would use OpenSSL if available, or the SChannel API layer of Windows. Serving HTTPS or WSS with a self-signed certificate is just a matter of a single parameter now, and performance seems pretty good, especially with OpenSSL.

The official release of mORMot 2 is around the edge. It may be the occasion to show some data persistence performance numbers, in respect to mORMot 1.

For the version 2 of our framework, its ORM feature has been enhanced and tuned in several aspects: REST routing optimization, ORM/JSON serialization, and in-memory and SQL engines tuning. Numbers are talking. You could compare with any other solution, and compile and run the tests by yourself for both framework, and see how it goes on your own computer or server.
In a nutshell, we almost reach 1 million inserts per second on SQLite3, and are above the million inserts in our in-memory engine. Reading speed is 1.2 million and 1.7 million respectively. From the object to the storage, and back. And forcing AES-CTR encryption on disk almost don't change anything. Now we are talking.

Generics are a clever way of writing some code once, then reuse it for several types.
They are like templates, or compiler-time shortcuts for type definitions.

In the last weeks, we added a new mormot.core.collections.pas unit, which features:

• JSON-aware IList<> List Storage;
• JSON-aware IKeyValue<> Dictionary Storage.

In respect to Delphi or FPC RTL generics.collections, this unit uses interfaces as variable holders, and leverage them to reduce the generated code as much as possible, as the Spring4D 2.0 framework does, but for both Delphi and FPC. It publishes TDynArray and TSynDictionary high-level features like indexing, sorting, JSON/binary serialization or thread safety as Generics strong typing.

Resulting performance is great, especially for its enumerators, and your resulting executable size won't blow up as with the regular RTL unit.

Last weeks, we have enhanced mORMot support to one of the more powerful AARM64 CPU available: the Ampere Altra CPU, as made available on the Oracle Cloud Infrastructure.

Long story short, this is an amazing hardware to run on server side, with performance close to what Intel/AMD offers, but with almost linear multi-core scalability. The FPC compiler is able to run good code on it, and our mORMot 2 library is able to use the hardware accelerated opcodes for AES, SHA2, and crc32/crc32c.

Debug information can be generated by compilers, to contain symbols and source code lines. This is very handy to have a meaningful stack trace on any problems like exceptions, at runtime.

The problem is that debug information can be huge. New code style with generics tends to increase this size into a bloated way...
On Delphi, mormot2tests generates a 4MB .map file;
on FPC, mormot2tests outputs a 20MB .dbg file in DWARF.

For Delphi, we propose our own binary .mab format which reduces this 4MB .map file into a 290KB .mab file since mORMot 1.
Now mORMot 2 can reduce a FPC debug file of 20MB into a 322KB .mab file!
And this .mab information can just be appended to the executable for single-file distribution, if needed, during the build. No need to distribute two files, potentially with synchronization issues.

The .zip format is from last century, back to the early DOS days, but can still be found everywhere. It is even hidden when you run a .docx document, a .jar application, or any Android app!
It is therefore (ab)used not only as archive format, but as application file format / container - even if in this respect using SQLite3 may have much more sense.

We recently enhanced our mormot.core.zip.pas unit:

• to support Zip64,
• with enhanced .zip read/write,
• to have a huge performance boost during its process,
• and to integrate better with signed executables.

EKON 24 just finished. "The conference for Delphi & more" was fully online this year, due to the viral context... But this was a great event, and I am very happy to have been part of it. Please find the slides on my two sessions: mORMot 2 Performance: from Delphi to AVX2 Of course,  […]

Thanks you all for have posted your feedback on our mORMot2 Survey!

Here are some insights.

First of all, if it was not clear enough: Delphi will continue to be supported in mORMot 2.0. Some people reported that our previous article may have been misleading. But perhaps not all versions. For sure, Delphi 5 and Kylix will not be supported in mORMot 2. It is also possible that it would not  […]