Merge "More details for policy-engine-trigger"

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Jenkins 2015-02-05 19:39:26 +00:00 committed by Gerrit Code Review
commit e44b26fc95
1 changed files with 61 additions and 5 deletions

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@ -32,13 +32,69 @@ compute updates to tables and run the registered event handlers.
Proposed change
===============
To each Theory class or subclass in runtime.py we will add an
interface for event-handler registration, e.g.
We will create a trigger-registry interface that enables a programmer
to dictate a function to run each time the contents of a given
table changes.
Theory.register_handler(tablename, function)
To each Theory we will add code that implements all the triggers
that have been registered.
Programmer's perspective
------------------------
The functions that a programmer will register have a signature like
the one that follows.
def respond_to_trigger(oldtable, newtable, delta)
The programmer will register this handler on a particular theory
and a particular table. In this example, we register the
function above so it runs each time the table "p" changes in
the policy/theory "th".
# instance of congress/policy/runtime.py:Theory
th = engine.policy("alice_policy")
# register 'respond_to_trigger' for table 'p' on that policy
th.register_trigger("p", respond_to_trigger)
From the programmer's point of view, each time the contents of
table "p" changes in the theory named "alice_policy", the function
respond_to_trigger is run and given as arguments the original
table, the new table, and the difference in the two.
Implementation
---------------
The function 'register_trigger' will be implemented in the
congress/policy/runtime.py:Theory class. We will also have
an 'unregister_trigger' function call. The Theory class will
be augmented to contain a hash table 'self.triggers' that
maps each table name to the set of functions that have
been registered for that table. 'register_trigger' and
'unregister_trigger' change the contents of that hash table.
Then changes will be made to NonrecursiveRuleTheory,
MaterializedViewTheory, and Database to implement the trigger:
each time update() is called, the theory will
(i) compute the contents of each table that has a trigger registered,
(ii) apply the usual update() logic,
(iii) compute the contents of each table with a registered trigger (again),
(iv) compute the deltas on each of the tables with triggers
(v) for each table t with non-empty delta, invoke all of the triggers
registered for t giving the arguments (i), (iii), (iv)
Obviously triggers can be expensive because they require 2 queries
each time data is changed. Ideally, we would utilize policy analysis
to only query those tables when the data being update might possibly
change the contents of those tables.
For example, suppose we registered a trigger for table p, and we
had 2 rules:
p(x) :- q(x)
r(x) :- t(x)
Updates to table t could never change the contents of p, but updates
to table q COULD change the contents of p. Hence, the trigger
implementation would run queries on p only when the incoming update
changes q.
Alternatives