Analytic Block Parallel Input Out of Synch Issue

matiur.rahman · July 26, 2023, 7:33am

Apama Analytics Builder used and Version: 10.16.0.4.20230518 level:

Detailed explanation of the problem: Getting synchronization issue for blocks having Multiple input ports. For example, For a output block of type Measurement Output, we want to sent a measurement with as Fragment along with some custom Fragment as coming in properties port, and the properties port receives the input bit delayed, then the result is not as expected. Input in the properties port are inserted into wrong measurement output.

What could be possible issue and its resolution ?
Please guide.

Error messages / full error message screenshot / log file:

Measurement Data:

Question related to a Partner Tenant, or to a Partner instance?

Harald_Meyer · July 26, 2023, 7:59am

Hi,

if the delay is fixed, the most obvious solution would be to use the Delay block similar to how you use it to simulate the problem. Most likely that is not the case I guess.

I assume what you want to achieve is to always match the measurement value with the corresponding property and not miss any of either of them?

Then that is not easily doable with the built-in blocks as it would require queuing functionality. If you know that you would only ever have to queue one value of each, you could probably do that queuing using a clever usage of the AND block.

Otherwise you would require a custom block that queues in its local state and outputs synchronized values whenever each queue contains at least one value. If custom block development is an option for you, I could share a high level sketch of how this would look like.

Best regards,
Harald

matiur.rahman · July 26, 2023, 8:46am

Thank you for your prompt reply.
Yes, You said it right, Delay is used to simulate the issue.

Yes, we want to achieve is to always match the measurement value with the corresponding property and not miss any of either of them.

Actual Issue is to something similar below:

MO- Managed Object.
Query MO, API Call, Update MO are custom block.

Please share a sketch to achieve it, would be very helpful.

Thanks

Harald_Meyer · July 26, 2023, 10:14am

Hi Matiur,

I have not tested this, but it should work like this below. Note, that the two inputs are pulse inputs and you should put a “Set Property” block before the input and put the value into a property called “value”. The reason for this is that only with a pulse will you be able to detect which input triggered the invocation of the “$process” action. We need this to associate the correct input values. If an input triggered “$process” we store the value in a buffer. If we have received values on both inputs, we take the oldest values for each and produce an output.

Note: instead of doing this in a separate block you could incorporate this logic into your “Make API Call” block if it makes sense.

event SyncInputs_$State {
    sequence<float> buffer1;
    sequence<float> buffer2;
}

event SyncInputs {
	action $process(Activation $activation, Value $input_value1, Value $input_value2, SyncInputs_$State $blockState) {
        
        boolean v1active := <boolean> $input_value1.value;
        boolean v2active := <boolean> $input_value2.value;

        if(v1active) {
            $blockState.buffer1.append(AnyExtractor($input_value1).getFloat("value"));
        }
        if(v2active) {
            $blockState.buffer2.append(AnyExtractor($input_value1).getFloat("value"));
        }

        if($blockState.buffer1.size()>0 and $blockState.buffer1.size()>0) {
            $setOutput_output1($activation, $blockState.buffer1[0]);
            $blockState.buffer1.remove(0);
            $setOutput_output2($activation, $blockState.buffer2[0]);
            $blockState.buffer2.remove(0);
        }
    }

    constant string $INPUT_TYPE_value1 := "pulse";
    constant string $INPUT_TYPE_value2 := "pulse";

	action<Activation,float> $setOutput_output1;	
    action<Activation,float> $setOutput_output2;

}

matiur.rahman · July 26, 2023, 10:54am

Thank You @Harald_Meyer ,
Will try this.
The blocks are separated to make it generic and reusable.

matiur.rahman · July 28, 2023, 10:01am

Tried as said, however not able to succeed yet. For single source it works, for input from group of device, it is yet to work.
Any way we can handle inputs from group of device?

One major issue is, $process 's $input_… is holding previous values if pulse is not received. So, I tried to take care this using Value.timestamp value somehow for single input source, not able to get expected result where input is from a Device Group.

SyncInputs.txt (4.7 KB)

Maintaining source Id wise buffer may work, not sure, but is becoming more & more tricky,
What could be best viable solution?
Please suggest.

Harald_Meyer · July 28, 2023, 10:28am

Hi Matiur,

One major issue is, $process 's $input_… is holding previous values if pulse is not received.

My assumption was that you could use the $input_.value field to check if it is true or not and it would only be true if the pulse was received. Is that not the case?

not able to get expected result where input is from a Device Group.

In case of device groups, the state should be split by individual device. So it is strange that this is not working for you. This is the explanation:

github.com

SoftwareAG/apama-analytics-builder-block-sdk/blob/rel/10.16.0.x/doc/160-SharingDataAcrossPartition.md

#  Sharing data across partitions and workers

## Worker state

Analytics Builder models use either a group of devices, or one or more specific devices. When a model uses one or more specific devices, the model is evaluated in the context of a single shared partition. A block consuming values from multiple such devices will have a single shared state. When a model uses a group of devices, the model is evaluated in the context of partitions corresponding to each device within the group. A block consuming values for such devices will have a separate block state per device, for example, the Average (Mean) block generates means independently for each device within the group. See [Partition values](070-Partitions.md) for more details.

There can be use cases where we may want to share state among all devices within a group, for example, to generate the mean of all devices rather than calculate the mean of each device. In such scenarios, a special type of state object, `WorkerState` should be used to share state between devices in a group. 

If the Analytics Builder runtime is configured to use more than one worker thread, then blocks will have one `WorkerState` object per worker thread and blocks will have to combine them to compute the value across all devices within the group.

Note: It is assumed that the computed value does not have to be time-synchronous with respect to the input, and that the computed value uses the input value from all devices up to the approximate time T, not the exact time T.

To share the state of the block across partitions in a worker, use a separate event type, named `<block>_$WorkerState`. This can be supplied as a `$workerState` parameter to the framework methods of the block. It can contain whatever values the block requires to execute.

The fields of the `WorkerState` object have the same restrictions as those of the normal state object; refer to [050-State.md](050-State.md) for more details.

If the Analytics Builder runtime is configured to use only one worker thread, then the `WorkerState` object can hold state from all devices within the group and can compute values accordingly.

Note: A block should use the `$WorkerState` parameter only in a model which is processing events from multiple devices in a group.

This file has been truncated. show original

Let me also try to reproduce the issue.

Best regards,
Harald

matiur.rahman · July 28, 2023, 11:06am

It is measurement input and holding float value, and for next iterations when value1 has a new value valu2 and value3 holds old value. That is what is being printed in log.
For next iterations when value1 receiving pulse, other should be empty or reset, but it holds previous values. So, I am comparing the input’s timestamp and ignoring the same if found equal.

Let me deep dive for group of device issue. Will update.

Harald_Meyer · July 28, 2023, 11:16am

Interestingly, your block seems to work for me. I created a model similar to yours (also with delays) for a group of devices. I sent in a value of “200” for device 1 and then a value of “104” for device 2 before the delay occurred.

Input 1:

SyncInputs.process.Delay>>>$input_value1>>apama.analyticsbuilder.Value(any(float,200),1690542329.166,{"fragment":any(string,"input"),"id":any(string,"67950065"),"measurement_creationTime":any(float,1690542330.429),"measurement_source.name":any(),"measurement_source.type":any(string,"com_cumulocity_model_idtype_GId"),"measurement_source.value":any(string,"9266897646"),"measurement_tenantId":any(string,"t21106993"),"series":any(string,"i"),"source":any(string,"9266897646"),"time":any(float,1690542329.166),"type":any(string,"input"),"unit":any(string,""),"value":any(float,200)})>>>$input_value2>>apama.analyticsbuilder.Value(any(),0,{})>>>$input_value3>>apama.analyticsbuilder.Value(any(),0,{})

Input 2:

SyncInputs.process.Delay>>>$input_value1>>apama.analyticsbuilder.Value(any(float,104),1690542331.695,{"fragment":any(string,"input"),"id":any(string,"67933927"),"measurement_creationTime":any(float,1690542332.559),"measurement_source.name":any(),"measurement_source.type":any(string,"com_cumulocity_model_idtype_GId"),"measurement_source.value":any(string,"2318011"),"measurement_tenantId":any(string,"t21106993"),"series":any(string,"i"),"source":any(string,"2318011"),"time":any(float,1690542331.695),"type":any(string,"input"),"unit":any(string,""),"value":any(float,104)})>>>$input_value2>>apama.analyticsbuilder.Value(any(),0,{})>>>$input_value3>>apama.analyticsbuilder.Value(any(),0,{})

Output 1:

SyncInputs.process.Delay>>>$input_value1>>apama.analyticsbuilder.Value(any(float,200),1690542329.166,{"fragment":any(string,"input"),"id":any(string,"67950065"),"measurement_creationTime":any(float,1690542330.429),"measurement_source.name":any(),"measurement_source.type":any(string,"com_cumulocity_model_idtype_GId"),"measurement_source.value":any(string,"9266897646"),"measurement_tenantId":any(string,"t21106993"),"series":any(string,"i"),"source":any(string,"9266897646"),"time":any(float,1690542329.166),"type":any(string,"input"),"unit":any(string,""),"value":any(float,200)})>>>$input_value2>>apama.analyticsbuilder.Value(any(float,200),1690542339.166,{})>>>$input_value3>>apama.analyticsbuilder.Value(any(float,200),1690542344.166,{})
SyncInputs.process.Delay>>>$input_value1.timestamp>>1690542329.166/1690542329.166>>>$input_value2.timestamp>>1690542339.166/1690542339.166>>>$input_value3.timestamp>>1690542344.166/0
SyncInputs.process.Delay>>>$blockState.buffer1>>[200]>>>$blockState.buffer2>>[200]>>>$blockState.buffer3>>[]
SyncInputs.process.Delay>>>v1active>>false>>>v2active>>false>>>v3active>>true
SyncInputs.processSync.Delay>>>$input_value1>>200>>>$input_value2>>200>>>$input_value3>>200
SyncInputs.processSync.Delay>>>sum>>600

Output 2:

SyncInputs.process.Delay>>>$input_value1>>apama.analyticsbuilder.Value(any(float,104),1690542331.695,{"fragment":any(string,"input"),"id":any(string,"67933927"),"measurement_creationTime":any(float,1690542332.559),"measurement_source.name":any(),"measurement_source.type":any(string,"com_cumulocity_model_idtype_GId"),"measurement_source.value":any(string,"2318011"),"measurement_tenantId":any(string,"t21106993"),"series":any(string,"i"),"source":any(string,"2318011"),"time":any(float,1690542331.695),"type":any(string,"input"),"unit":any(string,""),"value":any(float,104)})>>>$input_value2>>apama.analyticsbuilder.Value(any(float,104),1690542341.695,{})>>>$input_value3>>apama.analyticsbuilder.Value(any(float,104),1690542346.695,{})
SyncInputs.process.Delay>>>$input_value1.timestamp>>1690542331.695/1690542331.695>>>$input_value2.timestamp>>1690542341.695/1690542341.695>>>$input_value3.timestamp>>1690542346.695/0
SyncInputs.process.Delay>>>$blockState.buffer1>>[104]>>>$blockState.buffer2>>[104]>>>$blockState.buffer3>>[]
SyncInputs.process.Delay>>>v1active>>false>>>v2active>>false>>>v3active>>true
SyncInputs.processSync.Delay>>>$input_value1>>104>>>$input_value2>>104>>>$input_value3>>104
SyncInputs.processSync.Delay>>>sum>>312

matiur.rahman · July 28, 2023, 12:14pm

I am checking more, may be I did some mistake analyzing the log.

Could you please check once for next iterations(not first one),
As my simulator sending values (0,10,20,30,40,50) in every 5 seconds. In the model, First delay is of 5 seconds and 2nd delay is of 7 seconds.

So, for me,
for first iteration its OK, but in next iterations some reading found to be missing
I am expecting a result 0,30,60,90,120,150

Anyway, It seems will work, testing for it to be foolproof.

Thank you for you time.

matiur.rahman · July 28, 2023, 12:51pm

@Harald_Meyer ,
Thanks.
Seems Its working.

system · January 24, 2024, 12:51pm

This topic was automatically closed 180 days after the last reply. New replies are no longer allowed.

Topic		Replies	Views
Analytics builder model : doesn"t count all the events Cumulocity-IoT , IoT-Data-Analytics , IoT , Streaming-Analytics-Apama , IoT-Device-Connectivity , IoT-Solution-Accelerators , IoT-Edge , IoT-Platform	12	697	November 4, 2023
Compare two successive values in Analytics Builder and count if not equal Cumulocity-IoT , IoT-Data-Analytics , IoT	11	514	August 20, 2023
Calculate AVG of 5 Measurements - wrong results ? timing problem? Cumulocity-IoT , IoT , Streaming-Analytics-Apama	5	701	October 13, 2022
Wrong output of stream analytics builder Model Cumulocity-IoT , IoT , Streaming-Analytics-Apama	4	666	May 9, 2023
Streaming Analytics - Time-based Moving Average Cumulocity-IoT , IoT-Data-Analytics , IoT , Streaming-Analytics-Apama	10	1029	October 24, 2023

Analytic Block Parallel Input Out of Synch Issue

Apama Analytics Builder used and Version: 10.16.0.4.20230518 level:

Error messages / full error message screenshot / log file:

Question related to a Partner Tenant, or to a Partner instance?

Related Topics