I was hoping i could get some help on how i can setup an e-mail alert for a specific agent job, such that it sends an e-mail alert when the run duration exceeds 30 minutes.
Would it be easier to add this step in the job itself? Are there any available methods in the SQL Agent GUI or do i have to create a new job? I figured creating a new job is less likely as i would have to query the sysjobhistory in msdb; The value is only updated once the job finishes so that doesn't help...I need it to check the real time duration of 1 specific agent job as it's running...
Specifically because it happens that the job runs into a deadlock ( That's no longer an issue now), so the job just stays stuck on the table it's locked on, and i only get the notification from the enduser that the report doesn't return results :S
The best method outside of 3rd party monitoring software is to create a high-frequency SQL Agent Job that runs a query on active sessions (returned by something like sp_who) for the duration of spids. This way you can have this monitoring job email you whenever a spid goes over a threshold. Alternatively you could have it compare the current runtime vs a calculated average runtime gleaned from the sys.jobhistory table.
Related
Edited Version:
I'm actually modelling an airport check-in terminal. It works fine so far, but additional I'm still trying to implement a function, that allows my pedestrians not to enter the service-queue if the queue time exceeds a preselected value (e.g. already 15 Passengers in the queue) and therefore walks to some kind of backup Service that opens during this busy times.
Here is my approach:
Variable QueueSize returns permanently the actual Number of Passengers in the Queue.
Every time a ped enters the pedservice block CheckInEco, the function waitingTime() starts:
QueueSize = CheckInEco.size();
if (QueueSize > 15) CheckInEco.cancel(ped)
So, as soon as there are more than 15 Agents in the queue, number 16 should bypass and move to an alternate ServiceBlock, which I would connect to the ccl Port of the CheckInEco Service. But when building the model, I get this message: ped cannot be resolved to a variable?
According to Anylogic Help, it should be possible to use this cancel - call, but I'm not really experienced with it.. Maybe, someone can help me out?
You can simply use a select output block to prevent pedestrians from going into the service block if there are more than 16 pedestrians already in.
Your original question had to do with waiting time, you should follow the exact same approach. But with waiting time it gets more complicated since you don't want to take the average waiting time from the start of the simulation.... so you need to decide if you want to take the last 10 minutes, 1 hour etc and do you want to include the current waiting time of agents in the queue. Since this is the the questions anymore I am not going to add it here, perhaps ask a new question if this is still the case.
I have a Azure Data Factory Pipeline. My trigger has been set for every each 5 minutes.
Sometimes my Pipeline takes more than 5 mins to finished its jobs. In this case, Trigger runs again and creates another instance of my Pipeline and two instances of the same pipeline make problem in my ETL.
How can I be sure than just one instance of my pipeline runs at time?
As you can see there are several instances running of my pipelines
Few options I could think of:
OPT 1
Specify 5 min timeout on your pipeline activities:
https://learn.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
https://learn.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities#activity-policy
OPT 2
1) Create a 1 row 1 column sql RunStatus table: 1 will be our "completed", 0 - "running" status
2) At the end of your pipeline add a stored procedure activity that would set the bit to 1.
3) At the start of your pipeline add a lookup activity to read that bit.
4) The output of this lookup will then be used in if condition activity:
if 1 - start the pipeline's job, but before that add another stored procedure activity to set our status bit to 0.
if 0 - depending on the details of your project: do nothing, add a wait activity, send an email, etc.
To make a full use of this option, you can turn the table into a log, where the new line with start and end time will be added after each successful run (before initiating a new run, you can check if the previous run had the end time). Having this log might help you gather data on how much does it take to run your pipeline and perhaps either add more resources or increase the interval between the runs.
OPT 3
Monitor the pipeline run with SDKs (have not tried that, so this is just to possibly direct you):
https://learn.microsoft.com/en-us/azure/data-factory/monitor-programmatically
Hopefully you can use at least one of them
It sounds like you're trying to run a process more or less constantly, which is a good fit for tumbling window triggers. You can create a dependency such that the trigger is dependent on itself - so it won't run until the previous run has completed.
Start by creating a trigger that runs a pipeline on a tumbling window, then create a tumbling window trigger dependency. The section at the bottom of that article discusses "tumbling window self-dependency properties", which shows you what the code should look like once you've successfully set this up.
Try changing the concurrency of the pipeline to 1.
Link: https://www.datastackpros.com/2020/05/prevent-azure-data-factory-from-running.html
My first thought is that the recurrence is too frequent under these circumstances. If the graph you shared is all for the same pipeline, then most of them take close to 5 minutes, but you have some that take 30, 40, even 60 minutes. Situations like this are when a simple recurrence trigger probably isn't sufficient. What is supposed to happen while the 60 minute one is running? There will be 10-12 runs that wouldn't start: so they still need to run or can they be ignored?
To make sure all the pipelines run, and manage concurrency, you're going to need to build a queue manager of some kind. ADF cannot handle this itself, so I have built such a system internally and rely on it extensively. I use a combination of Logic Apps, Stored Procedures (Azure SQL), and Azure Functions to queue, execute, and monitor pipeline executions. Here is a high level break down of what you probably need:
Logic App 1: runs every 5 minutes and queues an ADF job in the SQL database.
Logic App 2: runs every 2-3 minutes and checks the queue to see if a) there is not a job currently running (status = 'InProgress') and 2) there is a job in the queue waiting to run (I do this with a Stored Procedure). IF this state is met: execute the next ADF and update its status to 'InProgress'.
I use an Azure Function to submit jobs instead of the built in Logic App activity because I have better control over variable parameters. Also, they can return the newly created ADF RunId, which I rely in #3.
Logic App 3: runs every minute and updates the status of any 'InProgress' jobs.
I use an Azure Function to check the status of the ADF pipeline based on RunId.
We have a job on our SQL database that runs periodically forever.
During predefined maintenance periods, we would like to have this job stop for a set time (say 12 hours) and then restart the regular periodic schedule.
We've tried using a separate job that disables it a the predefined time and a second one that enables it. This works but is not very neat.
Is there a better way to do this that only involves the job itself?
Make a "maintenance schedule" table in some service database or MSDB (StartDate, EndDate, Description, etc.). Let the first step of your job check if current datetime within maintenance period. If so, just do nothing.
If a session or transaction is associated with the maintenance process then you could use an application lock to have the regular job wait, or terminate, if it attempts to run while the maintenance is in process.
Using a locking mechanism allows finer control over the processes, e.g. the regular job can release and reacquire the lock between steps and wait (or terminate) if the maintenance process has started. Alternatively, the maintenance process could wait for the regular job to terminate (or reach a suitable checkpoint) before proceeding.
See sp_getapplock for additional information.
Here is what I am trying to do, not sure if it is possible:
Autosys gets File1:10pm starts DataStage Job 1.1:10pm
Job1.1:10pm is still running
Autosys gets File1:20pm, it needs to start the same Job1 but run it as Job1.1:20pm, even though Job1.1:10pm is still running & not wait for it to finish, go ahead & run.
Can Autosys call the same DataStage job every time it gets a new file & run it with the new timestamp as the invocation id. Without waiting for the previous job to finish.
Thanks ya'll
Yes - absolutely - this is possible. To enable different InvocationIds you have to check the "multiple instance" property in the jobs properties. With this you allow multiple simultaneous runs of the job.
The invocationID can be a parameter as well when calling it from a sequence.
When your (multiple intance) job writes to a file make sure that each filename is unique to avoid side effects due to the multiple runs at the same time. This can be done by specifying DSJobInvocationId as part of the filename. Note that it is a parameter provided by DataStage which needs to be written exactly as shown with the upper and lower case letters. DataStage will the replace it with the content of your job invocationid at runtime.
I realize that when I execute a SCOM Task on demand from a Powershell script, there are 2 columns in Task Status view called Schedule Time and Start Time. It seems that there is an interval these two fields of around 15 seconds. I'm wondering if there is a way to minimize this time so I could have a response time shorter when I execute an SCOM task on demand.
This is not generally something that users can control. The "ScheduledTime" correlates to the time when the SDK received the request to execute the task. The "StartTime" represents the time that the agent healthservice actually began executing the task workflow locally.
In between those times, things are moving as fast as they can. The request needs to propagate to the database, and a server healthservice needs to be notified that a task is being triggered. The servers then need to determine the correct route for the task message to take, then the healthservices need to actually send and receive the message. Finally, it gets to the actual agent where the task will execute. All of these messages go through the same queues as other monitoring data.
That sequence can be very quick (when running a task against the local server), or fairly slow (in a big Management Group, or when there is lots of load, or if machines/network are slow). Besides upgrading your hardware, you can't really do anything to make the process run quicker.