Weird Oracle

“It’s not a bug, it’s a feature” PL/SQL like any other procedural extension to SQL has the ability to execute dynamic statements: EXECUTE IMMEDIATE. But not everyone knows it works differently for SQL statements and PL/SQL blocks. The difference lies in parameters passing.

Consider a simple example when we need to add a new row to a table using dynamic statement:

BEGIN
  p_date := to_char(SYSDATE);
  EXECUTE IMMEDIATE 'INSERT INTO test (created, modified, id, value)
      VALUES ('||p_date||', '||p_date||', '||p_id||', '||p_value||')';
END;

It works, but has a serious flaw: a new statement is compiled for every set of parameters and for every call. We should use placeholders in the statement and pass values through USING clause. To my great surprise, even experienced Oracle programmers may have problems to do it right:

BEGIN
  p_date := to_char(SYSDATE);
  EXECUTE IMMEDIATE 'INSERT INTO test (created, modified, id, value)
      VALUES (:p_date, :p_date, :p_id, :p_value)';
  USING (p_date, p_id, p_value);
END;

Looks good? But id does not work. According to specification when calling SQL statements, Oracle does not even look at placeholders names but on number and order of placeholders – every placeholder needs precisely one argument on the USING list. The correct way to do it is:

BEGIN
  p_date := to_char(SYSDATE);
  EXECUTE IMMEDIATE 'INSERT INTO test (created, modified, id, value)
      VALUES (:x, :x, :x, :x)';
  USING (p_date, p_date, p_id, p_value);
END;

Notice repeated p_date in using clause. Repeating of the placeholder name is also intentional – i think it might help notice that one need to be cautious when modifying this piece of code. Now to make things even more confusing, assume that we add a procedure to insert that row but still need to call it dynamically. This time Oracle will behave differently: it will now look at placeholder names and will expect only one value per placeholder name:

BEGIN
  p_date := to_char(SYSDATE);
  EXECUTE IMMEDIATE 'BEGIN insert_into_test (:p_date, :p_date, :p_id, :p_value); END;';
  USING (p_date, p_id, p_value);
END;

Now the total weirdness: USING clause has no way of specifying placeholder name for each argument – here still only the order counts. Reading such a piece of code and trying to decipher which parameter gets which value may be painful:

BEGIN
  p_date := to_char(SYSDATE);
  EXECUTE IMMEDIATE 'BEGIN some_proc (:p_date, :p_user, :p_date, :p_id, :p_value, :p_user); END;';
  USING (...???...);
END;

Now imagine that the dynamic block consists of several calls with some common arguments and that the block itself is created programmatically… I bet one will quickly use unique placeholder names (like :p1, :p2, :p3,…) and pass each value multiple times or give up parameter passing entirely and use string concatenation method instead. And if you are still reading this – a short riddle:

EXECUTE IMMEDIATE 'call some_proc(:a, :a, :b, :c);' USING (...);

How many values should be passed here?

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Motivation

From time to time our sprints scope is changing. It is not a big deal because we are trying to be agile :-) but Jira's burndowchart in this situation draw a peek. Because in fact that chart shows scope changes not a real burndown. It means, that chart cannot break down an x-axis if we really do more than we were planned – it always stop on at most zero.

Also for better progress monitoring we've started to split our user stories to technical tasks and estimating them. Original burndowchart doesn't show points from technical tasks. I can find motivation of this – user story almost finished isn't finished at all until user can use it. But in the other hand, if we know which tasks is problematic we can do some teamwork to move it on.

So I realize that it is a good opportunity to try some new approaches and tools.

Tools

I've started with lift framework. In the World of Single Page Applications, this framework has more than simple interface for serving REST services. It comes with awesome Comet support. Comet is a replacement for WebSockets that run on all browsers. It supports long polling and transparent fallback to short polling if limit of client connections exceed. In backend you can handle pushes in CometActor. For further reading take a look at Roundtrip promises

But lift framework is also a kind of framework of frameworks. You can handle own abstraction of CometActors and push to client javascript that shorten up your way from server to client. So it was the trigger for author of lift-ng to make a lift with Angular integration that is build on top of lift. It provides AngularActors from which you can emit/broadcast events to scope of controller. NgModelBinders that synchronize your backend model with client scope in a few lines! I've used them to send project state (all sprints and thier details) to client and notify him about scrum board changes. My actor doing all of this hard work looks pretty small:

Lift-ng also provides factories for creating of Angular services. Services could respond with futures that are transformed to Angular promises in-fly. This is all what was need to serve sprint history:

And on the client side - use of service:


In my opinion this two frameworks gives a huge boost in developing of web applications. You have the power of strongly typing with Scala, you can design your domain on Actors and all of this with simplicity of node.js – lack of json trasforming boilerplate and dynamic application reload.

DDD + Event Sourcing

I've also tried a few fresh approaches to DDD. I've organize domain objects in actors. There are SprintActors with encapsulate sprint aggregate root. Task changes are stored as events which are computed as a difference between two boards states. When it should be provided a history of sprint, next board states are computed from initial state and sequence of events. So I realize that the best way to keep this kind of event sourcing approach tested is to make random tests. This is a test doing random changes at board, calculating events and checking if initial state + events is equals to previously created state:



First look

Screenshot of first version:


If you want to look at this closer, check the source code or download ready to run fatjar on github.During a last few evenings in my free time I've worked on mini-application called micro-burn. The idea of it appear from work with Agile Jira in our commercial project. This is a great tool for agile projects management. It has inline tasks edition, drag & drop board, reports and many more, but it also have a few drawbacks that turn down our team motivation.