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You could set up a queuing table to hold the product id's that need
processing, removing that parameter from the proc (or all of them if
all columns vary and are in the queuing table). Then the proc picks
one product_id from the queue (using delete and capturing the data
deleted data using RETURNING), processes it, then loops for the next
product, terminating when there are none. A separate job runs to
add new products needing processing to the queue table. This
technique allows you to run as many simultaneous jobs as you need to
go through all of the products in a timely manner without code
changes. Also, if one fails, the others will pick up the slack
since they all run until the queue is empty. I've used this
technique before (although not in Postgres) and it works well.<br>
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<div class="moz-cite-prefix">On 12/8/24 10:26 AM, David G. Johnston
wrote:<br>
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On Sunday, December 8, 2024, kunwar singh <<a
href="mailto:krishsingh(dot)111(at)gmail(dot)com" moz-do-not-send="true"
class="moz-txt-link-freetext">krishsingh(dot)111(at)gmail(dot)com</a>>
wrote:<br>
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style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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style="background-color:rgb(243,243,243)" color="#0000ff">I know I can create a bash script or Python script , but I am wondering if there is a smarter way to do it in Postgres?</font></div></div>
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<div>Your concurrency requirement makes doing it in the server
quite difficult. Using anything that can launch multiple
processes/threads and initiate one connect each is your best
option. Many things can, so pick one you are familiar with.
There is little complexity here that specialized tooling would
be needed for.</div>
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<div>David J. <br>
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