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AWS CloudWatch - properly parse multiple values of dimensionName & dimensionValue lists #6313

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merged 2 commits into from
Nov 6, 2024

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zroubalik
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A regression introduced in 2.15

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Fixes #6236

…`dimensionValue` lists

Signed-off-by: Zbynek Roubalik <zroubalik@gmail.com>
@zroubalik zroubalik requested a review from a team as a code owner November 6, 2024 10:07
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zroubalik commented Nov 6, 2024

/run-e2e aws_cloudwatch
Update: You can check the progress here

@zroubalik zroubalik enabled auto-merge (squash) November 6, 2024 10:09
@JorTurFer
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Does it make sense adding an e2e test to cover this feature? (or updating the current one to use multi-dimensions, I'll asume that if multi-dimension works single dimension will work too)

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Does it make sense adding an e2e test to cover this feature? (or updating the current one to use multi-dimensions, I'll asume that if multi-dimension works single dimension will work too)

IMHO unit test is enough, but 🤷‍♂️

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The current test only verifies that there aren't parsing errors, but it doesn't check the parsing result. I mean, the parsing didn't fail before either. If you remove the parser change and execute the test, it'll pass too.
To ensure this with unit tests, we need to include a verification of the parsed metadata

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JorTurFer commented Nov 6, 2024

Basically, the (previous) value unsplitted is used
image
but there isn't parsing errors

That's why I said about adding support with e2e or testing the metadata result with unit tests

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zroubalik commented Nov 6, 2024

You are right, my previous version of test covered this, then I did some refactoring to include the new test into exisiting tests and missed this check, will add it.

🤦‍♂️

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@JorTurFer ptal

Signed-off-by: Zbynek Roubalik <zroubalik@gmail.com>
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JorTurFer commented Nov 6, 2024

/run-e2e aws_cloudwatch
Update: You can check the progress here

@JorTurFer JorTurFer enabled auto-merge (squash) November 6, 2024 15:16
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Thanks!

@JorTurFer JorTurFer merged commit 68b6ca8 into kedacore:main Nov 6, 2024
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Unable to get metrics data from Cloudwach when using more than one dimension
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