Class: matlab.io.datastore.sdidatastore
Package: matlab.io.datastore

Determine if data is available to read


tf = sdi_ds.hasdata


tf = sdi_ds.hasdata returns logical 1 if the matlab.io.datastore.sdidatastore, sdi_ds, has data available to read. When sdi_ds does not have data available to read, hasdata returns 0.

Output Arguments

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Logical indication of whether the matlab.io.datastore.sdidatastore has data available to read. When data is available, tf is 1. When data is not available, tf is 0.


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A matlab.io.datastore.sdidatastore references signal data in the Simulation Data Inspector repository. When the signal is too large to fit into memory, you can use the matlab.io.datastore.sdidatastore to incrementally process the data manually or to create a tall timetable for the signal that handles the incremental processing for you. This example shows how to process data using a matlab.io.datastore.sdidatastore.

Create a matlab.io.datastore.sdidatastore for a Signal

Simulate the sldemo_fuelsys model, which is configured to log several signals, to create data in the Simulation Data Inspector repository.


Use the Simulation Data Inspector programmatic interface to get the signal ID for the signal.

runCount = Simulink.sdi.getRunCount;

latestRunID = Simulink.sdi.getRunIDByIndex(runCount);

latestRun = Simulink.sdi.getRun(latestRunID);

speedSigID = latestRun.getSignalIDByIndex(4);

Use the signal ID to create a matlab.io.datastore.sdidatastore for the speed signal.

speedSDIds = matlab.io.datastore.sdidatastore(speedSigID);

Verify the Contents of the Datastore

Check the Name property of the matlab.io.datastore.sdidatastore to verify that it matches your expectations.

ans = 

You can also use the preview method to check that the first ten samples in the signal look correct.

ans=10×1 timetable
         Time          Data  
    ______________    _______

    0 sec               0.589
    0.00056199 sec    0.58772
    0.0033719 sec     0.58148
    0.01 sec          0.56765
    0.02 sec          0.54897
    0.03 sec          0.53264
    0.04 sec          0.51837
    0.05 sec          0.50594
    0.055328 sec          0.5
    0.055328 sec          0.5

Process Signal Data with the matlab.io.datastore.sdidatastore

When your signal is too large to fit into memory, you can use the readData method to read chunks of data from the Simulation Data Inspector repository to incrementally process your data. Use the hasdata method as the condition for a while loop to incrementally process the whole signal. For example, find the maximum signal value.

latestMax = [];

while speedSDIds.hasdata
    speedChunk = speedSDIds.read;
    speedChunkData = speedChunk.Data;
    latestMax = max([speedChunkData; latestMax]);

latestMax = 0.8897

On each read operation, the read method updates the read position for the start of the next read operation. After reading some or all of the matlab.io.datastore.sdidatastore, you can reset the read position to start again from the beginning of the signal.


Process Signal Data in Memory

When the signal referenced by your matlab.io.datastore.sdidatastore fits into memory, you can use the readall method to read all the signal data into memory for processing, rather than reading and processing the data incrementally with the read method. The readall method returns a timetable with all the signal data.

speedTimetable = speedSDIds.readall;

speedMax = max(speedTimetable.Data)
speedMax = 0.8897

Introduced in R2017b