2015-02-16

Benchmarking JsonDataObjects JSON parser

There is a new player in town.
Since it has been written by Andreas Hausladen, the maintainer of the great Delphi IDE fix packs, this new JSON library is very promising.

And in fact, it is fast, and sounds pretty great!
Here are some numbers, compared with SuperObject, standard DBXJson, dwsJSON, QDAC and mORMot.
Please refer to previous benchmark articles about those libraries. We will now focus on JsonDataObjects.

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2015-02-01

Benchmarking QDAC3 JSON parser

Do you know QDAC3 ?
This is an open source project, from China (with Chinese comments and exception errors messages, but the methods and variables are in English).
It is cross-platform, and told to be very fast about JSON process.

You can download this Open Source project code from http://sourceforge.net/projects/qdac3
And their blog - in Chinese - is at http://blog.qdac.cc/

So I included QDAC3 in our "25 - JSON performance" sample.
Numbers are talking, now.

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2015-01-15

AES-NI enabled for SynCrypto

Today, we committed a new patch to enable AES-NI hardware acceleration to our SynCrypto.pas unit. Intel® AES-NI is a new encryption instruction set that improves on the Advanced Encryption Standard (AES) algorithm and accelerates the encryption of data on newer processors. Of course, all this is  […]

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2015-01-10

mORMot under Linux thanks to FPC

You can use the FreePascal Compiler (FPC) to compile the mORMot framework source code, targetting Windows and Linux.

Linux is a premium target for cheap and efficient server Hosting. Since mORMot has no dependency, installing a new mORMot server is as easy as copying its executable on a blank Linux host, then run it. No need to install any framework nor runtime. You could even use diverse operating systems (several Linux or Windows Server versions) in your mORMot servers farm, with minimal system requirements, and updates.

We will now see how to write your software with Linux-compiling in mind, and also give some notes about how to install a Linux Virtual Machine with Lazarus on your Windows computer, compiling both FPC and Lazarus from their SVN latest sources!

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2014-12-31

2015: the future of mORMot is BigData

How would be 2015 like for our little rodents?
Due to popular request of several users of mORMot, we identified and designed some feature requests dedicated to BigData process.

In fact, your data is the new value, especially if you propose SaaS (Software As A Service) hosting to your customers, with a farm of mORMot servers.
Recent Linux support for mORMot servers, together with the high performance and installation ease of our executable, open the gate to cheap cloud-based hosting.
As a consequence, a lot of information would certainly be gathered by your mORMot servers, and a single monolithic database is not an option any more.

For mORMot solutions hosted in cloud, a lot of data may be generated. The default SQLite3 storage engine may be less convenient, once it reaches some GB of file content. Backup becomes to be slow and inefficient, and hosting this oldest data in the main DB, probably stored on an expensive SSD, may be a lost of resource. Vertical scaling is limited by hardware and price factors.

This is were data sharding comes into scene.
Note that sharding is not replication/backup, nor clustering, nor just spreading. We are speaking about application-level data splitting, to ease maintenance and horizontal scalability of mORMot servers.

Data sharding could already be implemented with mORMot servers, thanks to TSQLRestStorage:

  • Using TSQLRestStorageExternal: any table may have its own external SQL database engine, may be in its separated DB server;
  • Using TSQLRestStorageMongoDB: any table may be stored on a MongoDB cluster, with its own sharding abilities;
  • Using TSQLRestStorageRemote: each table may have its own remote ORM/REST server.

But when data stored in a single table tends to grow without limit, this feature is not enough.
Let's see how the close future of mORMot looks like.

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2014-11-28

ODM magic: complex queries over NoSQL / MongoDB

You know that our mORMot is able to access directly any MongoDB database engine, allowing its ORM to become an ODM, and using NoSQL instead of SQL for the query languages.

But at mORMot level, you could share the same code between your RDBMS and NoSQL databases.
The ORM/ODM is able to do all the conversions by itself!
Since we have just improved this feature, it is time to enlighten its current status.

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2014-11-23

Breaking change: New SynLog and SynTests unit extracted from SynCommons.pas

In order to enhance code modularity, we extracted logging and testing features from SynCommons.pas. Discover the new SynLog.pas and SynTests.pas units! Documentation has been updated to reflect the changes. This is a breaking change... Ensure you add SynLog and/or SynTests to your uses clauses, just  […]

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2014-11-20

BeDelphi 2014 Slides

We just finished our Be-Delphi 2014 sessions and drank our last beers, so here we are.

I published some slides for this great event.

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