Batch job returns more results than operations sent

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wes...@channable.com

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Oct 20, 2020, 2:58:14 AM10/20/20
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Hi Ads team,

We currently are seeing a problem with some of the batch jobs we are trying to process.
Right now, we are still using the Google Adwords API (v201809) for this, but we don't think the API matters in this case.

The problem we are having is that we create a batch job and then upload 10,000 operations to that batch job. Once the batch job has been processed and we obtain a downloadUrl, there are more results returned to us than 10,000. This creates a problem and we can no longer process this batch because we have no way to know which results belong to which entities. We therefore have to remove this batch, and send the entities again. This problem does not occur again for the same operations sent, however, this happens quite frequently to different batch jobs.

As an example, this morning we had a batch job with id = 3564509359. I can provide more detail in a private message, such as the client customer id, if needed. We sent 10,000 operations, but we receive back 15,000 results.

Any information here would be appreciated. It may have to do with error processing, since all the results are errors in this case, but we have seen other cases where we have a mix of errors and valid operations as well.

Google Ads API Forum Advisor Prod

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Oct 26, 2020, 9:26:02 AM10/26/20
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Hello,

I'm going to look into this, and I will let you know as soon as I have any information to share.

Thanks for the detailed description of the issue.

Regards,
Mike, Google Ads API Team

ref:_00D1U1174p._5004Q26AchT:ref

Google Ads API Forum Advisor Prod

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Oct 26, 2020, 10:36:57 AM10/26/20
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Hello,

This is a known issue and an extremely rare occurrence in the AdWords API. Unfortunately, since the AdWords API is in maintenance mode, we're not going to be able to address the issue. It's unlikely for it to happen again, since it's quite rare. However, to be sure, you could switch over to the new Google Ads API which is being currently maintained and recently launched full support for batch jobs.
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