[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-17。"],[[["\u003cp\u003eUse Cloud Monitoring to create dashboards to visualize BigQuery resource metrics, including slot utilization and query execution times.\u003c/p\u003e\n"],["\u003cp\u003eCloud Monitoring allows the creation of custom charts to display various metrics, such as query execution time, scanned bytes, and slot usage.\u003c/p\u003e\n"],["\u003cp\u003eYou can view quota usage and limits for the BigQuery Storage Write API within Cloud Monitoring.\u003c/p\u003e\n"],["\u003cp\u003eAlerting policies can be created to trigger notifications when specific metrics, like query execution times, exceed defined thresholds, such as 60 seconds.\u003c/p\u003e\n"],["\u003cp\u003eVarious metrics are available for visualization in Cloud Monitoring, including scanned bytes, query counts, slot usage, and dataset-related data like stored bytes and table counts.\u003c/p\u003e\n"]]],[],null,["# Create dashboards, charts, and alerts\n=====================================\n\nThis document describes how to create charts and alerts to monitor\nBigQuery resources using Cloud Monitoring.\n\nBefore you begin\n----------------\n\nBefore you use Cloud Monitoring, ensure that you have the following:\n\n- A Cloud Billing account.\n- A BigQuery project with billing enabled.\n\nOne way to ensure that you have both is to complete the\n[Quickstart using the Google Cloud console](/bigquery/docs/quickstarts/quickstart-web-ui).\n\nView and create dashboards, charts, and alerts\n----------------------------------------------\n\n### View the Cloud Monitoring dashboard\n\nTo use Cloud Monitoring to monitor your BigQuery project:\n\n1. In the Google Cloud console, go to the **Monitoring** page.\n\n [Go to Monitoring](https://console.cloud.google.com/monitoring)\n\n \u003cbr /\u003e\n\n2. Select the name of your project if it is not already selected at the top of\n the page.\n\n3. To view BigQuery resources, select **Dashboards \\\u003e\n BigQuery**. On this page you see a list of tables, events, and incident\n reporting that are user-configurable as well as charts of project metrics or\n dataset metrics.\n\n### Visualize slots available and slots allocated\n\nTo visualize the slots available and slots allocated to your project, go to the\ndashboard for BigQuery described in\n[Viewing the Cloud Monitoring dashboard](#view-dashboards):\n\n1. In the Google Cloud console, go to the **Monitoring** page.\n\n [Go to Monitoring](https://console.cloud.google.com/monitoring)\n\n \u003cbr /\u003e\n\n2. Select **Dashboards \\\u003e BigQuery**.\n\n3. On the Cloud Monitoring dashboard for BigQuery, scroll to\n the chart named **Slot Utilization**.\n\nThe **Slot Utilization** chart appears on both the main Cloud Monitoring\ndefault dashboard and the Cloud Monitoring dashboard for\nBigQuery.\n\n### Create a dashboard and chart\n\nDisplay the metrics collected by Cloud Monitoring in your own charts and\ndashboards:\n\n1. In the Google Cloud console, go to the **Monitoring** page.\n\n [Go to Monitoring](https://console.cloud.google.com/monitoring)\n\n \u003cbr /\u003e\n\n2. Select **Dashboards \\\u003e Create Dashboard**.\n\n3. Click **Add Chart**. You see the Add Chart page:\n\n4. In the **Find resource type and metric** panel fields:\n\n - For the **Resource type** drop-down list, select **Global** . You might need to expand the list of **Resource types** for the **Global** option to be visible.\n - For the **Metric** drop-down list, select **Query execution time**.\n5. The **Aggregation** pane fields control how the execution-time data are\n displayed. You can modify the default settings for these fields.\n\n6. Click **Save**.\n\n### View quota usage and limits\n\nIn Cloud Monitoring, you can view metrics for quota usage and limits:\n\n1. In the Google Cloud console, go to the **Monitoring** page.\n\n [Go to Monitoring](https://console.cloud.google.com/monitoring)\n\n \u003cbr /\u003e\n\n2. In the navigation pane, select\n **Metrics explorer**.\n\n3. In the toolbar, select **Explorer \\\u003e Configuration**.\n\n4. In the **Resource \\& Metric** section, click **Select a metric**.\n\n5. Select **Consumer Quota \\\u003e Quota \\\u003e Quota limit** , and then click **Apply**.\n\n6. Click add_box **Add filter** , and then in the **Label** menu, select **limit_name**.\n\n7. In the **Value** menu, select the quota for which you want to view the metrics.\n\n| **Note:** You can view metrics for quota usage and limits only for the [BigQuery Storage Write API's](/bigquery/quotas#write-api-limits) concurrent connections and throughput quotas.\n\n### Create an alert\n\nTo create an alerting policy that triggers when the 99th percentile of the\nexecution time of a [BigQuery](/bigquery/docs) query\nexceeds a user-defined limit, use the following settings.\n\n#### Steps to create an [alerting policy](/monitoring/alerts/using-alerting-ui#create-policy).\n\nTo create an alerting policy, do the following:\n\n1. In the Google Cloud console, go to the\n *notifications* **Alerting** page:\n\n [Go to **Alerting**](https://console.cloud.google.com/monitoring/alerting)\n\n \u003cbr /\u003e\n\n If you use the search bar to find this page, then select the result whose subheading is\n **Monitoring**.\n2. If you haven't created your notification channels and if you want to be notified, then click **Edit Notification Channels** and add your notification channels. Return to the **Alerting** page after you add your channels.\n3. From the **Alerting** page, select **Create policy**.\n4. To select the resource, metric, and filters, expand the **Select a metric** menu and then use the values in the **New condition** table:\n 1. Optional: To limit the menu to relevant entries, enter the resource or metric name in the filter bar.\n 2. Select a **Resource type** . For example, select **VM instance**.\n 3. Select a **Metric category** . For example, select **instance**.\n 4. Select a **Metric** . For example, select **CPU Utilization**.\n 5. Select **Apply**.\n5. Click **Next** and then configure the alerting policy trigger. To complete these fields, use the values in the **Configure alert trigger** table.\n6. Click **Next**.\n7. Optional: To add notifications to your alerting policy, click\n **Notification channels** . In the dialog, select one or more notification\n channels from the menu, and then click **OK**.\n\n To be notified when incidents are openend and closed, check\n **Notify on incident closure**. By default, notifications are sent only when\n incidents are openend.\n8. Optional: Update the **Incident autoclose duration**. This field determines when Monitoring closes incidents in the absence of metric data.\n9. Optional: Click **Documentation**, and then add any information that you want included in a notification message.\n10. Click **Alert name** and enter a name for the alerting policy.\n11. Click **Create Policy**.\n\nMetrics available for visualization\n-----------------------------------\n\nThe following metrics are available, time delayed up to several hours.\n\nFor a complete list of available Google Cloud metrics, see [Google Cloud metrics](/monitoring/api/metrics_gcp#gcp-bigquerybiengine).\n\nKnown issues\n------------\n\n- If no queries are running, then no data is returned for slots allocated, slots available, or any query-related variables. Zoom out to see data.\n\n- If queries are running in both the US and the EU, then slots allocated and\n slots available might be incorrect.\n\n- Slots allocated is reported as the average value in a time window (the width\n of the time window depends on the zoom level of the chart). Zooming in and\n out can change the value of slots allocated. Zooming in to a time window of\n 1 hr or less shows the true values of slots allocated. At this range for any\n time visible on the chart, `avg(slots allocated) = slots allocated`.\n\n- The data in Cloud Monitoring charts pertains only to the selected\n project.\n\n- Metrics are instantaneous values, sampled at a point in time, and might miss\n data points between sample intervals. For example, the job count metric is\n sampled every minute. The value is the number of jobs at that particular\n time, not the maximum number of jobs throughout the entire minute."]]
Metrics Explorer。