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https://github.com/mdpnp/mdpnp

Start the application

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Choose Domain Id 0 (or remeber the choosen value) and run "Start ICE_Supervisor".

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You can now "Create a local an ICE Device Adap...Adapter"

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And choose e.g. Simulated Pulse Oximeter. Call "Start Simlulated Pulse Oximeter" . After some time, you see e.g.and call "Start PO_Simulator".

Now you will get to the main screen:

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When you double click on Puls Ox (Simulated) you will see:

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Now back to Odysseus:

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#PARSER PQL
#RUNQUERY
sampleArray := RECEIVEDDSSOURCE({
                    source = 'SampleArray',
                  transport = 'dds',
                  datahandler = 'tuple',
                  options=[
                    ['qosFile',' qosfile='${WORKSPACEPROJECT}/USERice_QOS_PROFILESlibrary.xml'],
                    ['idlFile','idlfile='${WORKSPACEPROJECT}/ice.idl'],
                    ['topic',='SampleArray'],
                    ['topicType','topictype='ice::SampleArray'],
                    ['qosLibrary',qoslibrary='ice_library'],
                    ['qosProfile','qosprofile='waveform_data'],
                    ['domain','0']
=0                  ],
                  schema = [
                    ['unique_device_identifier', 'String'],
                    ['metric_id', 'String'],
                    ['instance_id','Long'],
                    ['unit_id','String'],
                    ['frequency','long'],
                    ['values','List<Double>'],
}                    ['time','Tuple<Long,Long>']
                  ]                                                        
                }                                              
              )

There are two important files:

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They contain information necessary for DDS. You can download the files from the following locations:

httphttps://sourceforgegithub.netcom/pmdpnp/mdpnp/codeblob/ci/master/tree/data-types/x73-idl/src/main/idl/ice/ice.idl

https://github.com/mdpnp/hello-openicemdpnp/blob/master/data-types/x73-idl-rti-dds/USER_QOS_PROFILES.xml

Copy them to the workspace.

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Now run the query, and show as table. You should see something like:

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As you can see, the values attribute contains a list, and the time attribute attributes a tuple.

Storing to a relational database

If you want to store this data e.g. in a database this is not possible directly. You have to "flatten" the data. This can be done as follows:

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The output will be as:

and

Storing to a document store

You can store complex objects to a document store like MongoDB. For this, you have to convert the tuple to a KeyValueObject. This can be done with the TupleToKeyValueOperator.

See MongoDB Feature for more information on the Mongo DB feature.

#RUNQUERY
kv = TUPLETOKEYVALUE(sampleArray)
mongo = MONGODBSINK({PORT = port, HOST = 'host', COLLECTIONNAME = 'collectionname', DATABASE = 'database'}, kv)