Necro post avoided - cancel in-tran

I still would like the rest of the method to complete though…

Like, I know that BOL.UpdateLinks is updating ShipHead, and I want to stop the shiphead update, but still have the updatelinks method complete.

Thank you Jose for responding. I did do that earlier and it worked to stop the update, but then the method that triggered this update never ran to completion.

I am doing a BOL.UpdateLinks action and it triggers an update to shiphead along the way… I only want to stop this update to shiphead and not the whole BOL.UpdateLinks method.

I suppose I am left to doing some data row modification using an in-tran data directive to the fields that I don’t want updated in ShipHead if there’s really no way to cancel this one update during this method call… I am fairly certain the only updates it’s making are to Shiphead.Shiplog, Shiphead.BOLNum, and Shiphead.BOLLine.

Nice, I’m more partial to this one though:

Ice.ThrowBLException("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");

You can’t love it @utaylor until you decode it.

Fair enough!

There isn’t a way to do that that I know of @utaylor if you break an in-tran you break the entire call stack.
Can you give me context as to what you are trying todo?

Jose,

it’s this post.

Bottom line, UpdateLinks is called when linking anything to a BOL… problem is that I am linking a masterpack with a packnum of 16035 and instead of ONLY updating that record with the related BOL number and line that it is being linked to, it’s also going out and looking in ShipHead for any packnum = 16035 and updating that pack to have the BOL Num and Line when I’m not even linking the shiphead.packnum 16035 to the BOL :upside_down_face:

So my thought was on pre-processing of BOL.UpdateLinks I can loop through the PackSlips dataset that’s available and determine which packs that are being linked are customershipment packs “if any” and then when the ShipHead.Update method is being called as a result of the UpdateLinks method, I can check that the pack that’s being udpated matches any of the packs that were in the PackSlips dataset and if they are, proceed with the update, but if they aren’t then stop the update cause it’s updating some unrelated pack for some odd reason…

I edited my first response to this, you may wish to refresh.

Here’s what I don’t know. if I decode that, where’s it going to go.

It’s a .PNG file. Not gonna tell you what it is.

Yeah I gathered that from the various hacks I took at it.

If it’s something like that then it would have to be a file local to all of us? Or is it pointing to a web page hosting the .png file?

Well since Mark let the cat out of the bag.

bam

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I mean he didn’t let it out that much haha, I just didn’t want to decode something that brought me to some other website I don’t know about.

What, you’re not a fan of “risky click of the day”?

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I was about to say :rofl: not that I don’t already use websites I have no clue about.

:dumpster_fire: Yep, I’m still clueless :dumpster_fire:

Not sure that there is a predictable way to do that.

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Random links from you?! Yes. :stuck_out_tongue_winking_eye: :rofl:

Thanks Tim, I appreciate it, I think with the refinement of where the update is being called from like @Olga had suggested in this link ( Want to know what method is causing the update to a related table - Epicor ERP 10 - Epicor User Help Forum (epiusers.help)), this is going to be predictable. Especially with the way the BOL.UpdateLinks method works, I think it’s repeatable/predictable given what I have seen so far.

I’ll check to see if it does the same thing in Kinetic though just to see if upgrading is also another solution.