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43 changes: 33 additions & 10 deletions rules/bigquery/WARN/2022_001/index.html
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<meta property="og:url" content="https://gcpdiag.dev/rules/bigquery/WARN/2022_001/"><meta property="og:image" content="https://gcpdiag.dev/images/website-preview.jpg"><meta property="article:section" content="rules">
<meta property="article:modified_time" content="2022-06-02T07:47:51+00:00"><meta property="og:site_name" content="gcpdiag">
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<meta itemprop=description content="BigQuery does not exceed rate limits
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requests. These quotas exist both to protect the backend systems, and to help
guard against unexpected billing if you submit large jobs.</p>
<h3 id=remediation>Remediation</h3>
<p>To resolve these limit issues, retry the operation after few seconds. Use
exponential backoff between retry attempts. If you consistently reach one of
these longer-term quota limits, you should analyze your workload for ways to
mitigate the issue. Mitigations can include optimizing your workload or
requesting a quota increase.</p>
<p>Slow down the request rate. To resolve these limit issues, retry the operation
after few seconds. Use exponential backoff between retry attempts. If you
consistently reach one of these longer-term quota limits, you should analyze
your workload for ways to mitigate the issue. Mitigations can include optimizing
your workload or requesting a quota increase.</p>
<h3 id=further-information>Further information</h3>
<p>To diagnose issues, do the following:</p>
<ul>
<li><a href=https://cloud.google.com/bigquery/docs/troubleshoot-quotas#concurrent_queries_quota_errors>Troubleshoot BigQuery quota errors</a></li>
<li>Use INFORMATION_SCHEMA views to analyze the underlying issue. These views
contain metadata about your BigQuery resources, including jobs, reservations,
and streaming inserts. For example, the following query uses the
INFORMATION_SCHEMA.JOBS view to list all quota-related errors within the past
day:</li>
</ul>
<pre tabindex=0><code>SELECT
job_id,
creation_time,
error_result
FROM `region-us`.INFORMATION_SCHEMA.JOBS
WHERE creation_time &gt; TIMESTAMP_SUB(CURRENT_TIMESTAMP, INTERVAL 1 DAY) AND
error_result.reason IN ('rateLimitExceeded', 'quotaExceeded')
</code></pre><ul>
<li>View errors in Cloud Audit Logs
Using Logs Explorer, the following query returns errors with either Quota
exceeded or limit in the message string:</li>
</ul>
<pre tabindex=0><code>resource.type = (&quot;bigquery_project&quot; OR &quot;bigquery_dataset&quot;)
protoPayload.status.code =&quot;7&quot;
protoPayload.status.message: (&quot;Quota exceeded&quot; OR &quot;limit&quot;)
</code></pre><ul>
<li><a href=https://cloud.google.com/bigquery/docs/troubleshoot-quotas#overview>Troubleshoot BigQuery quota errors</a></li>
</ul>
<div class="text-muted mt-5 pt-3 border-top">
Last modified June 2, 2022: <a href=https://github.com/GoogleCloudPlatform/gcpdiag/commit/3d9f5f7dd8fe8eb9bfc3ec1e796ad74df2d023cd>Merge "new rule: BigQuery is not violate column level security" -- Branch commit log -- commit b3ee9a5873bb294413cbbf1d046212f81deff048 Author: gcpdiag team &lt;noreply@google.com> Date: 2022-06-01T12:26:35+09:00 (3d9f5f7dd)</a>
Last modified August 15, 2024: <a href=https://github.com/GoogleCloudPlatform/gcpdiag/commit/0c2a0fb33963135beb4e5d9777a3f8fe701958eb>Merge "Adding Diagnostics steps for Rate limit exceeded" -- Branch commit log -- commit 95626e6c1705909520b333d8f6cd2cf25700a8be Author: Surmay Bhavsar &lt;surmayb@google.com> Date: 2024-08-12T16:59:45Z (0c2a0fb33)</a>
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