Azure 計量瀏覽器的 Advanced 功能Advanced features of the Azure metrics explorer

注意

本文假設您已經熟悉 Azure 監視器的 Azure 計量瀏覽器功能的基本功能。This article assumes you're familiar with basic features of the Azure metrics explorer feature of Azure Monitor. 如果您是新使用者,而且想要瞭解如何建立您的第一個度量圖表,請參閱 開始使用計量瀏覽器If you're a new user and want to learn how to create your first metric chart, see Getting started with the metrics explorer.

在 Azure 監視器中 ,計量 是一系列的測量值和計數,會隨著時間收集和儲存。In Azure Monitor, metrics are a series of measured values and counts that are collected and stored over time. 計量可以是標準 (也稱為「平臺」 ) 或自訂。Metrics can be standard (also called "platform") or custom.

標準計量是由 Azure 平臺所提供。Standard metrics are provided by the Azure platform. 它們會反映 Azure 資源的健康情況和使用量統計資料。They reflect the health and usage statistics of your Azure resources.

資源範圍選取器Resource scope picker

資源範圍選取器可讓您跨單一資源和多個資源來查看計量。The resource scope picker allows you to view metrics across single resources and multiple resources. 下列各節說明如何使用資源範圍選取器。The following sections explain how to use the resource scope picker.

選取單一資源Select a single resource

從 [Azure 監視器] 功能表或從資源功能表的 [監視] 區段中,選取 [計量] 。Select Metrics from the Azure Monitor menu or from the Monitoring section of a resource's menu. 然後選擇 [ 選取範圍 ] 以開啟範圍選取器。Then choose Select a scope to open the scope picker.

使用範圍選取器來選取您想要查看其計量的資源。Use the scope picker to select the resources whose metrics you want to see. 如果您從資源的功能表開啟 Azure 計量瀏覽器,則應該填入範圍。The scope should be populated if you opened the Azure metrics explorer from a resource's menu.

顯示如何開啟資源範圍選取器的螢幕擷取畫面。

針對某些資源,您一次只能查看一個資源的度量。For some resources, you can view only one resource's metrics at a time. 在 [ 資源類型 ] 功能表中,這些資源位於 [ 所有資源類型 ] 區段中。In the Resource types menu, these resources are in the All resource types section.

顯示單一資源的螢幕擷取畫面。

選取資源之後,您會看到包含該資源的所有訂用帳戶和資源群組。After selecting a resource, you see all subscriptions and resource groups that contain that resource.

顯示可用資源的螢幕擷取畫面。

提示

如果您想要同時查看多個資源的計量,或查看整個訂用帳戶或資源群組的計量,請選取 [ 附議]。If you want the capability to view the metrics for multiple resources at the same time, or to view metrics across a subscription or resource group, select Upvote.

當您感到滿意選取專案時,請 選取 [ 套用]。When you're satisfied with your selection, select Apply.

跨多個資源查看度量View metrics across multiple resources

某些資源類型可以查詢多個資源的計量。Some resource types can query for metrics over multiple resources. 資源必須位於相同的訂用帳戶和位置。The resources must be within the same subscription and location. 在 [ 資源類型 ] 功能表頂端尋找這些資源類型。Find these resource types at the top of the Resource types menu.

如需詳細資訊,請參閱 選取多個資源For more information, see Select multiple resources.

顯示跨資源類型的螢幕擷取畫面。

針對與多個資源相容的類型,您可以查詢訂用帳戶或多個資源群組的計量。For types that are compatible with multiple resources, you can query for metrics across a subscription or multiple resource groups. 如需詳細資訊,請參閱 選取資源群組或訂用帳戶。For more information, see Select a resource group or subscription.

多個度量線和圖表Multiple metric lines and charts

在 Azure 計量瀏覽器中,您可以建立繪製多個計量線的圖表,或同時顯示多個度量圖表。In the Azure metrics explorer, you can create charts that plot multiple metric lines or show multiple metric charts at the same time. 此功能可讓您:This functionality allows you to:

  • 將相同圖形上的相關計量相互關聯,以查看一個值與另一個值之間的關聯性。Correlate related metrics on the same graph to see how one value relates to another.
  • 顯示使用不同測量單位的計量(以接近接近的方式)。Display metrics that use different units of measure in close proximity.
  • 以視覺化方式匯總和比較多個資源的計量。Visually aggregate and compare metrics from multiple resources.

例如,假設您有五個儲存體帳戶,而您想要知道它們一起使用的空間量。For example, imagine you have five storage accounts, and you want to know how much space they consume together. 您可以建立 (堆疊) 區域圖來顯示個別值,以及特定時間點的所有值總和。You can create a (stacked) area chart that shows the individual values and the sum of all the values at particular points in time.

相同圖表上的多個計量Multiple metrics on the same chart

若要在相同圖表上查看多個度量,請先 建立新的圖表To view multiple metrics on the same chart, first create a new chart. 然後選取 [ 新增度量]。Then select Add metric. 重複此步驟,在相同的圖表上新增另一個度量。Repeat this step to add another metric on the same chart.

注意

通常,您的圖表不應混合使用不同測量單位的度量。Typically, your charts shouldn't mix metrics that use different units of measure. 例如,避免將一個使用毫秒的計量與使用 kb 的另一個度量混合使用。For example, avoid mixing one metric that uses milliseconds with another that uses kilobytes. 也請避免混合調整規模不同的度量。Also avoid mixing metrics whose scales differ significantly.

在這些情況下,請考慮改為使用多個圖表。In these cases, consider using multiple charts instead. 在 [計量瀏覽器] 中,選取 [ 新增圖表 ] 以建立新的圖表。In the metrics explorer, select New chart to create a new chart.

顯示多個計量的螢幕擷取畫面。

多個圖表Multiple charts

若要建立另一個使用不同度量的圖表,請選取 [ 新增圖表]。To create another chart that uses a different metric, select New chart.

若要重新排序或刪除多個圖表,請選取省略號 (...) 按鈕以開啟 [圖表] 功能表。To reorder or delete multiple charts, select the ellipsis (...) button to open the chart menu. 然後選擇 [ 上移]、[ 下移] 或 [ 刪除]。Then choose Move up, Move down, or Delete.

顯示多個圖表的螢幕擷取畫面。

時間範圍控制項Time range controls

除了使用 時間選擇器面板變更時間範圍之外,您也可以使用圖表區域中的控制項來移動和縮放。In addition to changing the time range using the time picker panel, you can also pan and zoom using the controls in the chart area.

移動瀏覽Pan

若要移動流覽,請按一下圖表邊緣的向左和向右箭號。To pan, click on the left and right arrows at the edge of the chart. 這會將選取的時間範圍向前及向後移動一段圖表的時間範圍。This will move the selected time range back and forward by one half the chart's time span. 例如,如果您要查看過去24小時,按一下向左箭號會讓時間範圍轉換成一天的範圍,而半至12小時前。For example, if you're viewing the past 24 hours, clicking on the left arrow will cause the time range to shift to span a day and a half to 12 hours ago.

大部分的計量支援93天的保留期,但僅可讓您一次查看30天。Most metrics support 93 days of retention but only let you view 30 days at a time. 使用平移控制項時,您會看到過去30天,然後一次輕鬆地返回15天,以查看保留期間的其餘部分。Using the pan controls, you look at the past 30 days and then easily walk back 15 days at a time to view the rest of the retention period.

顯示左和右平移控制項的動畫 gif。

ZoomZoom

您可以在圖表上按一下並拖曳,以放大圖表的某個區段。You can click and drag on the chart to zoom into a section of a chart. 縮放會將圖表的時間範圍更新為橫跨您的選取範圍,如果時間細微性設定為 [自動],則會選取較小的時間細微性。Zooming will update the chart's time range to span your selection and will select a smaller time grain if the time grain is set to "Automatic". 新的時間範圍將適用于度量中的所有圖表。The new time range will apply to all charts in Metrics.

顯示計量縮放功能的動畫 gif。

彙總Aggregation

當您將計量新增至圖表時,計量瀏覽器會自動套用預設匯總。When you add a metric to a chart, the metrics explorer automatically applies a default aggregation. 在基本案例中,預設值會有意義。The default makes sense in basic scenarios. 但是,您可以使用不同的匯總來取得度量的更深入資訊。But you can use a different aggregation to gain more insights about the metric.

在圖表上使用不同的匯總之前,您應該先瞭解計量瀏覽器如何處理它們。Before you use different aggregations on a chart, you should understand how the metrics explorer handles them. 計量是在一段時間內所捕獲 (或「計量值」 ) 的一系列度量。Metrics are a series of measurements (or "metric values") that are captured over a time period. 當您繪製圖表時,所選度量的值會在 時間細微性 上分開匯總。When you plot a chart, the values of the selected metric are separately aggregated over the time grain.

您可以使用計量瀏覽器的 時間選擇器面板來選取時間細微性的大小。You select the size of the time grain by using the metrics explorer's time picker panel. 如果您未明確選取時間細微性,預設會使用目前選取的時間範圍。If you don't explicitly select the time grain, the currently selected time range is used by default. 判斷時間細微性之後,會在每個時間細微性期間所捕獲的度量值匯總于圖表上,每一時間有一個資料點。After the time grain is determined, the metric values that were captured during each time grain are aggregated on the chart, one data point per time grain.

例如,假設圖表顯示 伺服器回應時間 度量。For example, suppose a chart shows the Server response time metric. 它會使用 過去24小時 內的 平均 匯總與時間範圍。It uses the average aggregation over time span of the last 24 hours. 在此範例中:In this example:

  • 如果時間細微性設定為30分鐘,則會從48匯總資料點繪製圖表。If the time granularity is set to 30 minutes, the chart is drawn from 48 aggregated data points. 也就是說,折線圖會連接圖表繪圖區域中的48點 (每小時24小時 x 2 個資料點) 。That is, the line chart connects 48 dots in the chart plot area (24 hours x 2 data points per hour). 每個資料點都代表每個相關30分鐘期間內發生之伺服器要求的所有已捕獲回應時間的 平均值Each data point represents the average of all captured response times for server requests that occurred during each of the relevant 30-minute time periods.
  • 如果您將時間細微性切換至15分鐘,您會收到96個匯總的資料點。If you switch the time granularity to 15 minutes, you get 96 aggregated data points. 也就是說,每小時會取得24小時 x 4 個資料點。That is, you get 24 hours x 4 data points per hour.

計量瀏覽器有五個基本統計匯總類型: sum、count、min、max 和 average。The metrics explorer has five basic statistical aggregation types: sum, count, min, max, and average. Sum 匯總有時也稱為 總匯總The sum aggregation is sometimes called the total aggregation. 針對許多計量,計量瀏覽器會隱藏不相關的匯總,而且無法使用。For many metrics, the metrics explorer hides the aggregations that are irrelevant and can't be used.

  • Sum:匯總間隔期間所捕獲的所有值的總和。Sum: The sum of all values captured during the aggregation interval.

    Sum 要求的螢幕擷取畫面。

  • Count:匯總間隔期間所捕獲的度量數目。Count: The number of measurements captured during the aggregation interval.

    當計量一律以1值來捕捉時,計數匯總會等於 sum 匯總。When the metric is always captured with the value of 1, the count aggregation is equal to the sum aggregation. 當計量追蹤相異事件的計數,且每個度量都代表一個事件時,此案例很常見。This scenario is common when the metric tracks the count of distinct events and each measurement represents one event. 程式碼會在每次新要求抵達時發出度量記錄。The code emits a metric record every time a new request arrives.

    計數要求的螢幕擷取畫面。

  • 平均:匯總間隔期間所捕獲的度量值平均值。Average: The average of the metric values captured during the aggregation interval.

    平均要求的螢幕擷取畫面。

  • 小值:匯總間隔期間所捕獲的最小值。Min: The smallest value captured during the aggregation interval.

    最小要求的螢幕擷取畫面。

  • 最大 值:匯總間隔期間所捕獲的最大值。Max: The largest value captured during the aggregation interval.

    最大要求的螢幕擷取畫面。

篩選器Filters

您可以將篩選套用至計量具有維度的圖表。You can apply filters to charts whose metrics have dimensions. 例如,假設有一個「交易計數」度量具有「回應類型」維度。For example, imagine a "Transaction count" metric that has a "Response type" dimension. 此維度會指出交易的回應是否成功或失敗。This dimension indicates whether the response from transactions succeeded or failed. 如果您篩選此維度,您將只會看到 (成功的圖表行,或只會看到失敗的) 交易。If you filter on this dimension, you'll see a chart line for only successful (or only failed) transactions.

新增篩選Add a filter

  1. 選取圖表上方的 [ 加入篩選]。Above the chart, select Add filter.

  2. 選取要篩選的維度 (屬性) 。Select a dimension (property) to filter.

    顯示您可以篩選)  (屬性維度的螢幕擷取畫面。

  3. 選取您要套用至維度 (屬性) 的運算子。Select the operator you want to apply against the dimension (property). 預設運算子是 = (equals) The default operator is = (equals)

    顯示您可以與篩選準則搭配使用之操作員的螢幕擷取畫面。

  4. 選取您要在繪製圖表時套用至篩選的維度值 (此範例顯示篩選出成功的儲存體交易) :Select which dimension values you want to apply to the filter when plotting the chart (this example shows filtering out the successful storage transactions):

    螢幕擷取畫面,顯示已成功篩選的儲存體交易。

  5. 選取篩選器值之後,請按一下 [篩選器選取器] 以外的位置以將它關閉。After selecting the filter values, click away from the Filter Selector to close it. 現在圖表會顯示失敗的儲存體交易數目:Now the chart shows how many storage transactions have failed:

    顯示失敗的儲存體交易數目的螢幕擷取畫面。

  6. 您可以重複步驟1-5,以將多個篩選套用至相同的圖表。You can repeat steps 1-5 to apply multiple filters to the same charts.

度量分割Metric splitting

您可以依維度分割計量,以視覺化度量的不同區段。You can split a metric by dimension to visualize how different segments of the metric compare. 分割也可以協助您識別維度的外部區段。Splitting can also help you identify the outlying segments of a dimension.

套用分割Apply splitting

  1. 選取圖表上方的 [套用 分割]。Above the chart, select Apply splitting.

    注意

    具有多個計量的圖表無法使用分割功能。Charts that have multiple metrics can't use the splitting functionality. 此外,雖然圖表可以有多個篩選,但它只能有一個分割維度。Also, although a chart can have multiple filters, it can have only one splitting dimension.

  2. 選擇要分割圖表的維度:Choose a dimension on which to segment your chart:

    顯示選取的維度在其上分割圖表的螢幕擷取畫面。

    圖表現在會顯示多行,每個維度區段各有一個:The chart now shows multiple lines, one for each dimension segment:

    顯示多行的螢幕擷取畫面,每個維度區段各行一個。

  3. 選擇依選取的維度分割之後,要顯示的值數目限制。Choose a limit on the number of values to be displayed after splitting by selected dimension. 預設限制為10,如上圖所示。The default limit is 10 as shown in the above chart. 限制的範圍是 1-50。The range of limit is 1 - 50.

    顯示分割限制的螢幕擷取畫面,這會限制分割之後的值數目。

  4. 選擇區段上的排序次序: [遞增] 或 [遞減]。Choose the sort order on segments: Ascending or Descending. 預設選取範圍為遞減。The default selection is descending.

    顯示分割值之排序次序的螢幕擷取畫面。

  5. 按一下 [分組選取器] 以外的位置以將它關閉。Click away from the Grouping Selector to close it.

    注意

    若要隱藏您的案例不相關的區段,並讓圖表更容易閱讀,請在相同維度上同時使用篩選和分割。To hide segments that are irrelevant for your scenario and to make your charts easier to read, use both filtering and splitting on the same dimension.

鎖定 y 軸的範圍Locking the range of the y-axis

鎖定值範圍 (y) 軸在顯示大數值波動的圖表中變得很重要。Locking the range of the value (y) axis becomes important in charts that show small fluctuations of large values.

例如,從99.99% 到99.5% 的成功要求數量下降,可能代表服務品質的大幅降低。For example, a drop in the volume of successful requests from 99.99 percent to 99.5 percent might represent a significant reduction in the quality of service. 但是,如果您使用的是預設圖表設定,則很難或甚至根本不可能發生輕微的數值波動。But noticing a small numeric value fluctuation would be difficult or even impossible if you're using the default chart settings. 在這種情況下,您可以將圖表的最小界限鎖定為99%,讓較小的下降變得更明顯。In this case, you could lock the lowest boundary of the chart to 99 percent to make a small drop more apparent.

另一個範例是可用記憶體中的波動。Another example is a fluctuation in the available memory. 在此案例中,此值在技術上永遠不會到達0。In this scenario, the value will technically never reach 0. 將範圍修正為較高的值可能會讓可用記憶體中的卸載變得更容易找出。Fixing the range to a higher value might make drops in available memory easier to spot.

若要控制 y 軸範圍,請開啟 [圖表] 功能表 (...) 。然後,選取 [ 圖表設定 ] 以存取 [advanced chart] 設定。To control the y-axis range, open the chart menu (...). Then select Chart settings to access advanced chart settings.

醒目顯示圖表設定選項的螢幕擷取畫面。

修改 [ Y 軸範圍 ] 區段中的值,或選取 [ 自動 ] 以還原為預設值。Modify the values in the Y-axis range section, or select Auto to revert to the default values.

反白顯示 [Y 軸範圍] 區段的螢幕擷取畫面。

警告

如果您需要使用 [計數]、[總和]、[最小值] 或 [最大匯總]) 來追蹤圖表的 y 軸界限 (,通常應該指定固定的時間細微性。If you need to lock the boundaries of the y-axis for charts that track counts or sums over a period of time (by using count, sum, min, or max aggregations), you should usually specify a fixed time granularity. 在此情況下,您不應該依賴自動預設值。In this case, you shouldn't rely on the automatic defaults.

您可以選擇固定的時間細微性,因為當使用者調整瀏覽器視窗的大小或變更螢幕解析度之後,圖表值會變更。You choose a fixed time granularity because chart values change when the time granularity is automatically modified after a user resizes a browser window or changes screen resolution. 產生的時間細微性變更會影響圖表的外觀,並使 y 軸範圍的目前選取範圍失效。The resulting change in time granularity affects the look of the chart, invalidating the current selection of the y-axis range.

線條色彩Line colors

設定圖表之後,會自動從預設調色板將色彩指派給圖表線條。After you configure the charts, the chart lines are automatically assigned a color from a default palette. 您可以變更這些色彩。You can change those colors.

若要變更圖表線的色彩,請選取圖例中對應至圖表的彩色列。To change the color of a chart line, select the colored bar in the legend that corresponds to the chart. [色彩選擇器] 對話方塊隨即開啟。The color picker dialog box opens. 使用色彩選擇器來設定線條色彩。Use the color picker to configure the line color.

顯示如何變更色彩的螢幕擷取畫面。

當您將圖表釘選到儀表板時,會保留您的自訂色彩。Your customized colors are preserved when you pin the chart to a dashboard. 下一節將說明如何釘選圖表。The following section shows how to pin a chart.

釘選到儀表板Pinning to dashboards

設定圖表之後,您可能會想要將它新增至儀表板。After you configure a chart, you might want to add it to a dashboard. 藉由將圖表釘選到儀表板,您可以將其提供給您的小組存取。By pinning a chart to a dashboard, you can make it accessible to your team. 您也可以在其他監視遙測的內容中加以查看,以深入瞭解。You can also gain insights by viewing it in the context of other monitoring telemetry.

若要將已設定的圖表釘選到儀表板,請選取圖表右上角的 [ 釘選到儀表板]。To pin a configured chart to a dashboard, in the upper-right corner of the chart, select Pin to dashboard.

顯示如何將圖表釘選到儀表板的螢幕擷取畫面。

警示規則Alert rules

您可以使用視覺效果準則來建立以度量為基礎的警示規則。You can use your visualization criteria to create a metric-based alert rule. 新的警示規則將包含您圖表的目標資源、計量、分割和篩選維度。The new alert rule will include your chart's target resource, metric, splitting, and filter dimensions. 您可以使用 [警示規則建立] 窗格來修改這些設定。You can modify these settings by using the alert rule creation pane.

若要開始,請選取 [ 新增警示規則]。To begin, select New alert rule.

顯示 [新增警示規則] 按鈕的螢幕擷取畫面(以紅色反白顯示)。

[警示規則建立] 窗格隨即開啟。The alert rule creation pane opens. 在窗格中,您會看到圖表的度量維度。In the pane, you see the chart's metric dimensions. 窗格中的欄位會預先填入,以協助您自訂規則。The fields in the pane are prepopulated to help you customize the rule.

顯示規則建立窗格的螢幕擷取畫面。

如需詳細資訊,請參閱 建立、查看和管理計量警示For more information, see Create, view, and manage metric alerts.

將計量與記錄相互關聯Correlate metrics to logs

為了協助客戶診斷其計量圖表中異常的根本原因,我們建立了對記錄的深入探討。To help customer diagnose the root cause of anomalies in their metrics chart, we created Drill into Logs. 深入探索記錄可讓客戶將其計量圖表中的尖峰與記錄和查詢相互關聯。Drill into Logs allows customers to correlate spikes in their metrics chart to logs and queries.

在我們深入探討體驗之前,我們想先介紹不同類型的記錄和提供的查詢。Before we dive into the experience, we want to first introduce the different types of logs and queries provided.

詞彙Term 定義Definition
活動記錄Activity logs 除了服務健康狀態事件的更新之外,還可讓您深入瞭解訂用帳戶中的每個 Azure 資源在 (管理平面) 的作業。Provides insight into the operations on each Azure resource in the subscription from the outside (the management plane) in addition to updates on Service Health events. 使用活動記錄檔來判斷任何寫入作業的內容、物件和時間 (PUT、POST、DELETE) 在訂用帳戶中的資源上進行。Use the Activity Log, to determine the what, who, and when for any write operations (PUT, POST, DELETE) taken on the resources in your subscription. 每個 Azure 訂用帳戶都有單一的活動記錄。There is a single Activity log for each Azure subscription.
診斷記錄Diagnostic log 提供在 Azure 資源內執行之作業的深入解析, (資料平面) ,例如從 Key Vault 取得秘密或對資料庫提出要求。Provide insight into operations that were performed within an Azure resource (the data plane), for example getting a secret from a Key Vault or making a request to a database. 資源記錄的內容會依 Azure 服務和資源類型而有所不同。The content of resource logs varies by the Azure service and resource type. 注意: 必須由服務提供並由客戶啟用Note: Must be provided by service and enabled by customer
建議的記錄檔Recommended log 以案例為基礎的查詢,客戶可利用這些查詢來調查其計量瀏覽器中的異常狀況。Scenario-based queries that customer can leverage to investigate anomalies in their metrics explorer.

目前,您可以針對選取的資源提供者使用向下切入記錄。Currently, Drill into Logs are available for select resource providers. 具有完整深入探討記錄體驗的資源提供者包括:The resource providers that have the complete Drill into Logs experience are:

  • Application InsightsApplication Insights
  • AutoscaleAutoscale
  • 應用程式服務App Services
  • 儲存體Storage

以下是 Application Insights 資源提供者的範例體驗。Below is a sample experiences for the Application Insights resource provider.

App insights 計量分頁中的失敗尖峰

若要診斷失敗要求的尖峰,請按一下 [深入探索記錄檔]。To diagnose the spike in failed requests, click on “Drill into Logs”.

深入探索記錄下拉式清單的螢幕擷取畫面

藉由按一下 [失敗] 選項,您將會進入自訂失敗分頁,以提供您失敗的作業作業、前幾個例外狀況類型和相依性。By clicking on the failure option, you will be led to a custom failure blade that provides you with the failed operation operations, top exceptions types, and dependencies.

App insights 失敗分頁的螢幕擷取畫面

深入探索記錄的常見問題Common problems with Drill into Logs

  • 記錄和查詢已停用-若要查看建議的記錄和查詢,您必須將診斷記錄傳送至 Log Analytics。Log and queries are disabled - To view recommended logs and queries, you must route your diagnostic logs to Log Analytics. 請閱讀 這份檔 以瞭解如何進行。Read this document to learn how to do this.
  • 僅提供活動記錄-[深入探討記錄] 功能僅適用于選取的資源提供者。Activity logs are only provided - The Drill into Logs feature is only available for select resource providers. 依預設,會提供活動記錄。By default, activity logs are provided.

疑難排解Troubleshooting

如果您在圖表上看不到任何資料,請參閱下列疑難排解資訊:If you don't see any data on your chart, review the following troubleshooting information:

  • 篩選適用于窗格上的所有圖表。Filters apply to all of the charts on the pane. 當您將焦點放在圖表上時,請確定您未設定會排除另一個圖表上所有資料的篩選。While you focus on a chart, make sure that you don't set a filter that excludes all the data on another chart.

  • 若要在不同的圖表上設定不同的篩選,請在不同的 blade 中建立圖表。To set different filters on different charts, create the charts in different blades. 然後將圖表另存為個別的我的最愛。Then save the charts as separate favorites. 如果您想要的話,可以將圖表釘選到儀表板,讓您可以同時查看這些圖表。If you want, you can pin the charts to the dashboard so you can see them together.

  • 如果您依計量未定義的屬性來分割圖表,則圖表不會顯示任何內容。If you segment a chart by a property that the metric doesn't define, the chart displays no content. 請嘗試清除分割 (分割),或選擇不同的屬性。Try clearing the segmentation (splitting), or choose a different property.

下一步Next steps

若要使用計量建立可操作的儀表板,請參閱 建立自訂 KPI 儀表板To create actionable dashboards by using metrics, see Creating custom KPI dashboards.