Sample 0109 - Detecting trends with sequences
Introduction
This sample demonstrates how to set up an execution plan with a sequence-based query that can be used to detect trends from a stock trades stream. This sample uses Event simulator for inputs and the logger publisher for logging the outputs to the CEP console.
The query used in this sample is as follows:
from every e1=FilteredStockStream[price>20], e2=FilteredStockStream[((e2[last].price is null) and price>=e1.price) or ((not (e2[last].price is null)) and price>=e2[last].price)]+, e3=FilteredStockStream[price<e2[last].price] select e1.price as priceInitial, e2[last].price as pricePeak, e3.price as priceAfterPeak insert into PeakStream ;
Above query:
- Processes the events received through theÂ
FilteredStockStream
. - First it looks for an event
e1
with the condition price greater than 20. - Then it looks for one or more events,
e2
with a condition:((e2[last].price is null) and price>=e1.price)
is used to check the first event aftere1
, i.e.(e2[last].price is null)
returns true since there is no last event ine2
. Then it checks for the condition where the current event price is greater thane1
price.((not (e2[last].price is null)) and price>=e2[last].price)
this part is for any subsequent events. In this case the last of e2 is not null, and we check whether the price of the current event is greater than the last event. i.e. we are looking for one or more events with continuous price increase from this whole condition.
- Then we look for another event with a price drop from the last
e2
event from the conditionÂe3=FilteredStockStream[price<e2[last].price]
. - From the select clause we select the attributesÂ
e1.price
aspriceInitial
,e2[last].price
aspricePeak
,e3.price as priceAfterPeak
. - Finally the event is output to the
PeakStream
.
Prerequisites
See Prerequisites in CEP Samples Setup page.
Building the sample
Start the WSO2 CEP server with the sample configuration numbered 0109. For instructions, see Starting sample CEP configurations. This sample configuration does the following:
- Points the default Axis2 repo toÂ
<CEP_HOME>/sample/artifacts/0109
 (by default, the Axis2 repo isÂ<CEP_HOME>/repository/deployment/server
).
Executing the sample
Log into the CEP management console which is located at https://localhost:9443/carbon.
- Go to Tools -> Event Simulator. Under the 'Multiple Events' section, you can see the listed 'events.csv' file which contains some sample data. Click 'play' to start sending sample events from the file.
See the output events received from the CEP console. This sample uses the logger adaptor to log output events to the console.
For example, given below is a screenshot of the output of the consumer sending events from the producer: