alstef
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Re: Error handling procedure is falling over internally and then trying to send error messages about itself, thus creating a loop
dmiller: your batch size to consolidate messages into fewer I do not think that is an option for us since we want the original payload to be sent to us in different batches. Besides the original payload received once we are getting this “error=Cannot deliver the message, reason=Message caused too many failures, resolution=Redirecting message that has caused too many failure to the error pipeline:…”2KViews0likes0CommentsError handling procedure is falling over internally and then trying to send error messages about itself, thus creating a loop
Error handling procedure is falling over internally and then trying to send error messages about itself, thus creating a loop, what can be done with the sender address or not to get this many alerts? The error message we get is as follows: { “logid”: 1566 “PipelineRunTimeId”: “” “PipelineRunTime”: “2020-03-23T18:05:23.903” “payload”: “hostname , pipeline name ,$= {error=Cannot deliver the message, reason=Message caused too many failures, resolution=Redirecting message that has caused too many failure to the error pipeline: {}, status_code=too-many-pipeline-failures, original={task_name=…” “Status”: “organization_ERROR_” “ResponseMessage”: null } It is the error that the message could not be delivered ({error=Cannot deliver the message, reason=Message caused too many failures, resolution=Redirecting message that has caused too many failure to the error pipeline: ) After we experience a failure these messages were what the email sender was replaying nonstop. Eventually the monitor email address gets flagged for excessive mails, and end up been blocked.2.8KViews0likes2CommentsSnaplex API (monitor Node mem_used and cpu_used)
I am trying to get how much Machine memory is used (memory and CPU) average per day, but from the API I am getting the results in decimal numbers. My question is what format are the numbers in bytes, kilobytes… etc. or percentages as I need to compare with the current configuration of the Machine. Below is an attachment of how I get the results.2.5KViews0likes2CommentsRe: Send email notification to specific users using schema data
cstewart: The EMail Sender Snap has the ability to put the input documents into an HTML Table. By default, the Snap will batch up to 100 incoming documents into each message (100 input documents = 1 email sent), based on the Batch size specified in the Snap properties. I would need an example if you have. Thank you.940Views0likes1CommentTriggered error pipeline sending mails nonstop after a failure in Ultra pipeline
Triggered error pipeline sends mails nonstop after a failure in Ultra pipeline. Bellow is my design of the error pipeline. I work with xml files being received in the Ultra pipeline and when some fail occurs error pipeline in triggered, but for 1 file I receive more than 70 mails and it seems like it would not stop. I looked at the retry interval and other fields and parameters they are as they should configured.3.5KViews0likes2CommentsRe: Unable to retrieve average duration of pipeline executions from Ultra task
Yes I am trying to get the average time of the execution that is a child of the ultra execution. From the dashboard you can see I have nested pipelines under the ultra. What I am trying is to get that “duration” time and calculate its average.2.3KViews0likes0CommentsUnable to retrieve average duration of pipeline executions from Ultra task
I have ultra task triggered by a pipeline that executes all of the time. I want to get the average “duration” of pipeline executions from the dashboard executions for the past 7 days (1 week duration), but when I try to do that from the Rest Get I get random around 50 entries only for few days (besides having more than 500 - 600 executions of the pipeline per week). Is this the case because this is an ultra task, because when I try this with triggered and scheduled tasks I can actually get the average duration of pipeline executions? I have tried stopping the instance and invoking them again using REST Post Snap, however this was unsuccessful. Below are shown my pipelines.