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Incident affecting Google BigQuery

Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Incident began at 2021-06-11 03:34 and ended at 2021-06-15 16:06 (all times are US/Pacific).

Date Time Description
15 Jun 2021 16:06 PDT

Upon further investigation, our engineering teams believe that the scope of the BigQuery issue is now limited to a small number of projects.

If you have questions or feel that you may be impacted, please open a case with the Support Team and we will work with you until the issue is resolved. No further updates will be provided here.

We thank you for your patience while we're working on resolving the issue.

15 Jun 2021 09:14 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 16:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

15 Jun 2021 09:13 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 16:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

15 Jun 2021 05:06 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 10:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

15 Jun 2021 05:01 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 10:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

15 Jun 2021 02:02 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 05:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

14 Jun 2021 20:56 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 02:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

14 Jun 2021 20:55 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Tuesday, 2021-06-15 02:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

14 Jun 2021 16:03 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. We are evaluating the projects impacted by this issue and performing mitigation as needed. We do not have an ETA for full resolution at this point.

We will provide an update by Monday, 2021-06-14 21:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

14 Jun 2021 09:57 PDT

Summary: Some BigQuery queries fail with RESOURCE_EXCEEDED errors

Description: We believe the issue with Google BigQuery is partially resolved. However, mitigation work is still underway by our engineering team. We do not have an ETA for full resolution at this point.

We will provide an update by Monday, 2021-06-14 16:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittent

12 Jun 2021 18:14 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: Summary: Some BigQuery Queries will fail with RESOURCE_EXCEEDED message:

We believe the issue with Google BigQuery is partially resolved. However mitigation is still underway for a viable mitigation for now. We do not have an ETA for full resolution at this point.

We will provide an update by Monday, 2021-06-14 11:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittently affected.

11 Jun 2021 16:41 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: Summary:

  • Some BigQuery Queries will fail with RESOURCE_EXCEEDED message:

An example message would be: [RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

We believe the issue with Google BigQuery is partially resolved. However mitigation is still underway for a viable mitigation for now. We do not have an ETA for full resolution at this point.

We will provide an update by Saturday, 2021-06-12 13:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: No workarounds. Retries may eventually succeed as the issue seems to be intermittently affected.

11 Jun 2021 14:07 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We believe the issue with Google BigQuery is partially resolved.

We do not have an ETA for full resolution at this point.

We will provide an update by Friday, 2021-06-11 16:30 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 14:04 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We believe the issue with Google BigQuery is partially resolved.

We do not have an ETA for full resolution at this point.

We will provide an update by Friday, 2021-06-11 16:30 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 13:58 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We believe the issue with Google BigQuery is partially resolved.

We do not have an ETA for full resolution at this point.

We will provide an update by Friday, 2021-06-11 16:30 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 13:06 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We believe the issue with Google BigQuery is partially resolved.

We do not have an ETA for full resolution at this point.

We will provide an update by Friday, 2021-06-11 14:00 US/Pacific with current details.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 11:58 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: Mitigation work is currently underway by our engineering team.

We do not have an ETA for mitigation at this point.

We will provide more information by Friday, 2021-06-11 13:06 US/Pacific.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 06:35 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: Mitigation work is currently underway by our engineering team.

We do not have an ETA for mitigation at this point.

We will provide more information by Friday, 2021-06-11 12:06 US/Pacific.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 06:30 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: Mitigation work is currently underway by our engineering team.

We do not have an ETA for mitigation at this point.

We will provide more information by Friday, 2021-06-11 12:06 US/Pacific.

Diagnosis: The users will see an error message similar to:

[RESOURCES_UNAVAILABLE], Reason: code=RESOURCES_UNAVAILABLE message=RESOURCES_EXCEEDED_WITH_CONTEXT: [The query could not be executed in the allotted memory. Peak usage: 101% of limit.\nTop memory consumer(s):\n query parsing and optimization: 12%\n table/storage metadata: 6%\n other/unattributed: 82%\n]

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 05:35 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We are experiencing an intermittent issue with Google BigQuery.

Our engineering team continues to investigate the issue.

We will provide an update by Friday, 2021-06-11 06:35 US/Pacific with current details.

Diagnosis: None at this time.

Workaround: Retrying the job may help but not necessarily immediately.

11 Jun 2021 03:34 PDT

Summary: Queries fail with RESOURCE_EXCEEDED

Description: We are experiencing an intermittent issue with Google BigQuery.

Our engineering team continues to investigate the issue.

We will provide an update by Friday, 2021-06-11 05:35 US/Pacific with current details.

Diagnosis: None at this time.

Workaround: None at this time.