model.xml

<project name='project' pubsub='auto' threads='1' use-tagged-token='true'> 
<description> 
	This project demonstrates a basic example of using the streaming summary
	statistics algorithm in a calculate window. This algorithm calculates
	univariate summary statistics for input variable data it receives from a 
	source window. 

	The project contains a single continuous query comprised of the following: 
	1.	A source window that receives the data to be analyzed
	2.	A calculate window that computes summary statistics on incoming
		events and publishes the results. 
</description> 
<contqueries>
  <contquery name='contquery' trace='w_calculate'>
   <windows>
    <window-source name='w_source' insert-only='true' autogen-key='false' index='pi_EMPTY'> 
     <description> 
	This source window receives input data via a file socket connector. The
	input stream is placed into three fields for each observation read: an
	ID that acts as the data stream's key, named id; an x coordinate of data,
	named x_c;, and a y coordinate of data, named y_c.
     </description>
     <schema>
      <fields>
       <field name='id'  type='int64' key='true'/>
       <field name='x_c' type='double'/>
       <field name='y_c' type='double'/>
      </fields>
     </schema>
     <connectors>
      <connector class='fs' name='publisher'>
       <properties>
        <property name='type'>pub</property>
        <property name='fstype'>csv</property>
        <property name='fsname'>input.csv</property>
        <property name='transactional'>true</property>
        <property name='blocksize'>1</property>
       </properties>
      </connector>
     </connectors>
    </window-source>

    <window-calculate name="w_calculate" algorithm="Summary" index='pi_EMPTY'>
      <description> 
	The calculate window, w_calculate calculates univariate summary statistics
	on data events it receives from the source window and publishes the results to the
	file result.out. The algorithm will perform calculations using the specified algorithm 
	parameters. In this example, the following algorithm parameters govern the summary algorithm 
	in the calculate window: 

	windowLength:	specifies the length of the sliding window.

	Additionally, the following input-map and output-map properties define the summary
	algorithm in this calculate window: 

	input:		Specifies the input variable y its name in the source schema. The
			univariate summary statistics will be calculated for this variable.

	nOut:		Specifies the output variable name for the number of observations
			analyzed for the incoming data events(N).
	nmissOut:	Specifies the output variable name for the number of missing values
			in the incoming data events (NMISS). 
	minOut:		Specifies the output variable name for the minimum observed value
			(MIN). 
	maxOut:		Specifies the output variable name for the maximum value (MAX).
	sumOut:		Specifies the output variable name for the linear sum (SUM). 
	meanOut:	Specifies the output variable name for the mean (MEAN).
	stdOut:		Specifies the output variable name for the standard deviation (STD).
	varOut:		Specifies the output variable name for the sample variance (VAR). 
	cssOut:		Specifies the output variable name for the corrected sum of squares 
			(CSS). 
	ussOut:		Specifies the output variable name for the uncorrected sum of squares 
			(USS).
	stderrOut:	Specifies the output variable name for the standard error (STDERR). 
	cvOut:		Specifies the output variable name for the coefficient of variation
			(CV).
      </description>
      <schema>
          <fields>
          <field name='id' type='int64' key='true'/>
          <field name='y_c' type='double'/>
          <field name='x_c' type='double'/>
          <field name='nOut' type='int64'/>
          <field name='nmissOut' type='int64'/>
          <field name='minOut' type='double'/>
          <field name='maxOut' type='double'/>
          <field name='sumOut' type='double'/>
          <field name='meanOut' type='double'/>
          <field name='stdOut' type='double'/>
          <field name='varOut' type='double'/>
          <field name='cssOut' type='double'/>
          <field name='ussOut' type='double'/>
          <field name='stderrOut' type='double'/>
          <field name='cvOut' type='double'/>
        </fields>
      </schema>
        <parameters>
          <properties>
           <property name="windowLength">5</property>
          </properties>
        </parameters>
        <input-map>
          <properties>
           <property name="input">x_c</property>
          </properties>
        </input-map>
        <output-map>
          <properties>
           <property name="nOut">nOut</property>
           <property name="nmissOut">nmissOut</property>
           <property name="minOut">minOut</property>
           <property name="maxOut">maxOut</property>
           <property name="sumOut">sumOut</property>
           <property name="meanOut">meanOut</property>
           <property name="stdOut">stdOut</property>
           <property name="varOut">varOut</property>
           <property name="cssOut">cssOut</property>
           <property name="ussOut">ussOut</property>
           <property name="stderrOut">stderrOut</property>
           <property name="cvOut">cvOut</property>
          </properties>
        </output-map>
     <connectors>
      <connector class='fs' name='sub'>
       <properties>
        <property name='type'>sub</property>
        <property name='fstype'>csv</property>
        <property name='fsname'>result.out</property>
        <property name='snapshot'>true</property> 
        <property name='header'>true</property>
       </properties>
      </connector>
     </connectors>
    </window-calculate>
   </windows>
   <edges>
    <edge source='w_source' target='w_calculate' role='data'/>
   </edges>
  </contquery>
</contqueries>
</project>