April 2015 (4)

2015-04-20

Delphi is not a cross-compiler, but a set of cross-compilers

It is worth saying again.
I'm not speaking this time about performance issues, but about a common misunderstanding of what the latest version of Delphi offers.

Since Delphi "NextGen" compilers did break the memory model (introducing ARC), and also reducing low-level types (e.g. RawByteString/AnsiString), we can not say that Delphi is a single cross-compiler.
In practice, it has a set of cross-compilers.

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2015-04-12

Why Transmitting Exceptions in SOA services is not a good idea

Usually, in Delphi application (like in most high-level languages), errors are handled via exceptions. By default, any Exception raised on the server side, within an interface-based service method, will be intercepted, and transmitted as an error to the client side, then a safe but somewhat obfuscated EInterfaceFactoryException will be raised on the client side, containing additional information serialized as JSON.

You may wonder why exceptions are not transmitted and raised directly on the client side, with our mORMot framework interface-based services, as if they were executed locally.

We will now detail some arguments, and patterns to be followed.

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2015-04-06

Asynchronous Service - WebSockets, Callbacks and Publish-Subscribe

When publishing SOA services, most of them are defined as stateless, in a typical query/answer pattern - see Service-Oriented Architecture (SOA).
This fits exactly with the RESTful approach of Client-Server services via interfaces, as proposed by the framework.

But it may happen that a client application (or service) needs to know the state of a given service. In a pure stateless implementation, it will have to query the server for any state change, i.e. for any pending notification - this is called polling.

Polling may take place for instance:

  • When a time consuming work is to be processed on the server side. In this case, the client could not wait for it to be finished, without raising a timeout on the HTTP connection: as a workaround, the client may start the work, then ask for its progress status regularly using a timer and a dedicated method call;
  • When an unpredictable event is to be notified from the server side. In this case, the client should ask regularly (using a timer, e.g. every second), for any pending event, then react on purpose.

It may therefore sounds preferred, and in some case necessary, to have the ability to let the server notify one or several clients without any prior query, nor having the requirement of a client-side timer:

  • Polling may be pretty resource consuming on both client and server sides, and add some unwanted latency;
  • If immediate notification is needed, some kind of "long polling" algorithm may take place, i.e. the server will wait for a long time before returning the notification state if no event did happen: in this case, a dedicated connection is required, in addition to the REST one;
  • In an event-driven systems, a lot of messages are sent to the clients: a proper publish/subscribe mechanism is preferred, otherwise the complexity of polling methods may increase and become inefficient and unmaintainable;
  • Explicit push notifications may be necessary, e.g. when a lot of potential events, associated with a complex set of parameters, are likely to be sent by the client.

Our mORMot framework is therefore able to easily implement asynchronous callbacks over WebSockets, defining the callbacks as interface parameters in service method definitions - see Available types for methods parameters.

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Real-Time ORM Master/Slave Replication via WebSockets

In a previous article, we presented how Master/Slave replication may be easily implemented in mORMot's RESTful ORM.
Do not forget to visit the corresponding paragraphs of our online documentation, which has been updated, and is more accurate!

Sometimes, the on-demand synchronization is not enough.
So we have just introduced real-time replication via WebSockets.
For instance, you may need to:

  • Synchronize a short list of always evolving items which should be reflected as soon as possible;
  • Involve some kind of ACID-like behavior (e.g. handle money!) in your replicated data;
  • Replicate not from a GUI application, but from a service, so use of a TTimer is not an option;
  • Combine REST requests (for ORM or services) and master/slave ORM replication on the same wire, e.g. in a multi-threaded application.

In this case, the framework is able to use WebSockets and asynchronous callbacks to let the master/slave replication - see Asynchronous callbacks - take place without the need to ask explicitly for pending data.
You would need to use TSQLRestServer.RecordVersionSynchronizeMasterStart, TSQLRestServer.RecordVersionSynchronizeSlaveStart and TSQLRestServer.RecordVersionSynchronizeSlaveStop methods over the proper kind of bidirectional connection.

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