Job Scheduling coupled with exporting data in CSV format is a powerful feature of PostgreSQL. It is not always feasible to create schedulers in your code, but when it's an option, it can be really helpful. To edit a job in pgAgent you select the job and click on the Properties tab on the dashboard.Ĭlick on the pencil icon in the top left corner, it will open a wizard where you can edit all the details. Once I changed the path, my job was successfully executed (note the first row). In my case it wasn't able to access the directory I was trying to copy the data to. In the output column you can see why the job failed. To debug why a job failed, you can simply click on the name of the step under Steps in the browser tree and click Statistics on the dashboard. s means success and f means failed in the Status column. Here you can view the number of times the job was executed, start and end time, its status and id. To see whether the job was executed (whether it failed or succeeded), you select the job by its name and click on the Statistics tab in the dashboard. Its schedules and steps will be displayed when you extend the job. Once a new job is created, it will be displayed under pgAgent jobs in the browser tree. If you want to schedule a job dynamically you will have to execute the procedure code displayed here. In the Schedules tab we add the start date time and the end date time for the job to start and end. I will save the changes after adding the code. The code will be:ĬOPY (select * from acc_view) TO E'C: est-data ry.csv' Since I want to export the data from a view, I will call the view and ask it to export the file. Next comes the code section in Steps tab. In the On Error select box, you can pick what should be happen in case an error occurs. I will add my connection details in the same format: host=localhost port=5432 dbname=postgres The syntax should be like in libq connection string.
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