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Set DB GroupConcatMaxLen config to default of 4MB #2497
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Hi @krajasek. Thanks for your PR. I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
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@IronPan -My company (Ciitizen) signed an initial CLA and later signed a new CLA with a google group that had my details as contributor. However, I do not seem to get past this CLA check on this PR. How do we resolve this CLA issue now? Our legal team has sent followup emails to cla-submissions@google.com but have not yet received any response. Any help here is much appreciated. Thanks. |
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Thank you for finding and fixing this issue! P.S. Is there any way to make the backend fail hard when those limits are exceeded? These issues are really hard to debug, so it would be great if the query will just fail with "... size limit exceeded" message. /ok-to-test |
return &mysql.Config{ | ||
User: user, | ||
Passwd: password, | ||
Net: "tcp", | ||
Addr: fmt.Sprintf("%s:%s", mysqlServiceHost, mysqlServicePort), | ||
Params: map[string]string{"charset": "utf8", "parseTime": "True", "loc": "Local"}, | ||
Params: map[string]string{ | ||
"charset": "utf8", |
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Nit: Formatting seems strange here.
/lgtm |
/retest |
@Ark-kun - Thanks for the review. To my knowledge, MySQL group_concat method returns silently with truncated text when the limit is exceeded. An alternative way to sidestep this issue would be to abandon the usage of group_concat and look at rewriting the logic that gathers metrics. |
@IronPan Can you please approve this PR? |
/approve |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: IronPan The full list of commands accepted by this bot can be found here. The pull request process is described here
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…#989) Some time ago [this](kubeflow/pipelines#2310) issue has been reported on pipelines relating a problem in which metrics were not being properly loaded. The problem has been fixed by kubeflow/pipelines#2497. However, the manifests didn't get updated and, therefore, the issue continues in the standard deployment of Kubeflow. This PR just updates the ConfigMap.
Fix for KFP issue: #2310
This change is