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https://issues.apache.org/jira/browse/BEAM-11986?focusedWorklogId=679204&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-679204
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ASF GitHub Bot logged work on BEAM-11986:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Nov/21 17:31
Start Date: 09/Nov/21 17:31
Worklog Time Spent: 10m
Work Description: kennknowles commented on pull request #15294:
URL: https://github.com/apache/beam/pull/15294#issuecomment-964374097
We are seeing this error in our Spanner integration tests:
```
RESOURCE_EXHAUSTED: io.grpc.StatusRuntimeException: RESOURCE_EXHAUSTED:
Unable to create database 'beam-testdb-ze6w0okjvnnukhj2vr' because the instance
'projects/apache-beam-testing/instances/beam-test' has already reached the
maximum database limit (100). Please delete a database in the instance and try
again, or choose a different instance.
```
I confirmed that the instance is filled with `pybeam-read-<uuid>` and
`pybeam-write-<uuid>` databases with 1 hour retention.
Just an FYI. This class _looks_ like it sets up one database for all the
test cases, and tears it down properly. But it is the only recent change I
could find that could be related.
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Issue Time Tracking
-------------------
Worklog Id: (was: 679204)
Time Spent: 21h 10m (was: 21h)
> Python Spanner - Implement IO Request Count metric
> --------------------------------------------------
>
> Key: BEAM-11986
> URL: https://issues.apache.org/jira/browse/BEAM-11986
> Project: Beam
> Issue Type: Test
> Components: io-py-gcp
> Reporter: Alex Amato
> Priority: P3
> Time Spent: 21h 10m
> Remaining Estimate: 0h
>
> Reference PRs (See BigQuery IO example) and detailed explanation of what's
> needed to instrument this IO with Request Count metrics is found in this
> handoff doc:
> [https://docs.google.com/document/d/1lrz2wE5Dl4zlUfPAenjXIQyleZvqevqoxhyE85aj4sc/edit'|https://docs.google.com/document/d/1lrz2wE5Dl4zlUfPAenjXIQyleZvqevqoxhyE85aj4sc/edit'?authuser=0]
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