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<== Date ==> <== Thread ==>

Subject: Re: Exploring EPICS performance/processing limits
From: "Hu, Yong via Tech-talk" <tech-talk at aps.anl.gov>
To: "Marco A. Barra Montevechi Filho" <marco.filho at lnls.br>, "tech-talk at aps.anl.gov" <tech-talk at aps.anl.gov>
Date: Thu, 6 Oct 2022 13:33:14 +0000

Hello Marco,

To me, looping with “caput_one_pv_at_a_time” seems inefficient, especially in the Python world where “list” is a daily-usable data structure.

I have been using another Python-based Channel Access tool named “cothread” where you simply caput a list of pvs associated with a list of values: cothread.catools.caput(pvs, values). In your case, cothread.catools.caput(a_list_of_records, VALUE, repeat_value=True).

I have used “cothread” in one application where I get ~200 BPM waveform data (100K doubles per BPM) in a few seconds by caget(bpm_wavform_pv_list). Basically the processing time is dominated by the limited network bandwidth. “cothread” is very efficient by using cooperative threading.

Take a look at these links:
https://github.com/dls-controls/cothread
https://cothread.readthedocs.io/en/latest/catools.html#cothread.catools.caput

Cheers,
Yong

From: Tech-talk <tech-talk-bounces at aps.anl.gov> on behalf of Marco A. Barra Montevechi Filho via Tech-talk <tech-talk at aps.anl.gov>
Date: Wednesday, October 5, 2022 at 7:26 PM
To: tech-talk at aps.anl.gov <tech-talk at aps.anl.gov>
Subject: Exploring EPICS performance/processing limits

Hello all.


I bumped into something that may or may not be caused by EPICS default processing time limits and would like tips on how to explore it, if possible.
I have a set of records that send messages to a loopback ethernet address via a .proto file and stream device.
Lets say RECORD1 sends a string "message1 VAL1", RECORD2 sends "message2 VAL2", etc.

I was monitoring the traffic with ´tcpflow -c -i <my_IP> port <my_PORT> | grep "message"´ and made a python script in the form:


import epics, time
def do_thing(x):

    for record in ["RECORD1", "RECORD2", "RECORD3", "RECORD4"]:

        epics.caput(record, VALUE)

        time.sleep(x)

The messages i got from tcpflow when executing the python script with do_thing(1.5) were nicely formatted:
message1 VALUE
message2 VALUE
message3 VALUE
message4 VALUE

But when i do the same thing with x=0.5, messages 2 and 3 were sometimes missing or sometimes badly formatted. Sometimes i got things like:
message1 VALUE

message2

message3

message4 VALUE

And sometimes like:

message1 VALUE

message4 VALUE

 

Is this a PV processing time issue? Shouldnt the IOC be capable of dealing with time intervals smaller than this? Is there a way i can improve this behaviour without setting sleep times between my caputs?

Thanks in advance,

Marco

 

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Replies:
RE: Exploring EPICS performance/processing limits Mark Rivers via Tech-talk
Re: Exploring EPICS performance/processing limits Marco A. Barra Montevechi Filho via Tech-talk
References:
Exploring EPICS performance/processing limits Marco A. Barra Montevechi Filho via Tech-talk

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