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Loaded Event Program: |
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ETALIS can apply aggregate functions while detecting complex events (in an incremental fashion).
Aggregates over events are defined as aggregate(+Template,+EventPath,-Result)
where Template can be any of the following: count, sum(Var),
min(Var) , max(Var). In the following example, ETALIS computes the average of
live Google's stock prices in an interval delimited by two events:
start_compEvent and stop_compEvent.
This demo demonstrates ETALIS capability to handle an event program (a set of event patterns) with respect to a given synthetically generated stream of events. To generate an input stream, set the number of distinguished event symbols and the number of total events in the stream. The achieved performance will be displayed in the right-hand side pane.
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Status :: Engine is running
ETALIS version :: 1.0.alpha