使用 azdata 與 kubectl 監視巨量資料叢集
本篇文章說明如何使用 azdata 與 kubectl 來檢視巨量資料叢集的狀態。
重要
Microsoft SQL Server 2019 巨量資料叢集附加元件將會淘汰。 SQL Server 2019 巨量資料叢集的支援將於 2025 年 2 月 28 日結束。 平台上將完全支援含軟體保證 SQL Server 2019 的所有現有使用者，而且軟體將會持續透過 SQL Server 累積更新來維護，直到該時間為止。 如需詳細資訊，請參閱公告部落格的文章與 Microsoft SQL Server 平台上的巨量資料選項。
使用 azdata
您也可以使用 azdata 命令來同時檢視端點和叢集狀態。
服務端點
使用 azdata login 向巨量資料叢集進行驗證。 將
--controller-endpoint參數設定為控制器端點的外部 IP 位址。azdata login --endpoint https://<ip-address-of-controller-svc-external>:30080 --username <user-name>指定您在部署期間為控制器所設定的使用者名稱和密碼 (AZDATA_USERNAME 和 AZDATA_PASSWORD)。
若為 AD 驗證，命令為：
azdata login --endpoint https://<control_domain_name>:30080 --auth ad請執行
azdata bdc endpoint list以取得一份清單，其中包含每個端點的描述及其對應 IP 位址和連接埠值。azdata bdc endpoint list -o table下列清單顯示此命令的範例輸出：
Description Endpoint Ip Name Port Protocol ------------------------------------------------------ --------------------------------------------------------- -------------- ----------------- ------ ---------- Gateway to access HDFS files, Spark https://11.111.111.111:30443 11.111.111.111 gateway 30443 https Spark Jobs Management and Monitoring Dashboard https://11.111.111.111:30443/gateway/default/sparkhistory 11.111.111.111 spark-history 30443 https Spark Diagnostics and Monitoring Dashboard https://11.111.111.111:30443/gateway/default/yarn 11.111.111.111 yarn-ui 30443 https Application Proxy https://11.111.111.111:30778 11.111.111.111 app-proxy 30778 https Management Proxy https://11.111.111.111:30777 11.111.111.111 mgmtproxy 30777 https Log Search Dashboard https://11.111.111.111:30777/kibana 11.111.111.111 logsui 30777 https Metrics Dashboard https://11.111.111.111:30777/grafana 11.111.111.111 metricsui 30777 https Cluster Management Service https://11.111.111.111:30080 11.111.111.111 controller 30080 https SQL Server Master Instance Front-End 11.111.111.111,31433 11.111.111.111 sql-server-master 31433 tcp HDFS File System Proxy https://11.111.111.111:30443/gateway/default/webhdfs/v1 11.111.111.111 webhdfs 30443 https Proxy for running Spark statements, jobs, applications https://11.111.111.111:30443/gateway/default/livy/v1 11.111.111.111 livy 30443 https
檢視叢集狀態
您可以使用 azdata bdc status show 命令來檢視叢集的狀態。
azdata bdc status show
提示
若要執行狀態命令，您必須先使用 azdata login 命令登入，此動作已於先前的端點一節中示範過。
下列顯示此命令的範例輸出：
Bdc: ready Health Status: healthy
===========================================================================================================================================================================================================================================
Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Servicename State Healthstatus Details
spark ready healthy -
sql ready healthy -
hdfs ready healthy -
control ready healthy -
gateway ready healthy -
app ready healthy -
Spark Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
sparkhead ready healthy StatefulSet sparkhead is healthy
storage-0 ready healthy StatefulSet storage-0 is healthy
Sql Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
master ready healthy StatefulSet master is healthy
compute-0 ready healthy StatefulSet compute-0 is healthy
data-0 ready healthy StatefulSet data-0 is healthy
storage-0 ready healthy StatefulSet storage-0 is healthy
Hdfs Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
nmnode-0 ready healthy StatefulSet nmnode-0 is healthy
zookeeper ready healthy StatefulSet zookeeper is healthy
storage-0 ready healthy StatefulSet storage-0 is healthy
sparkhead ready healthy StatefulSet sparkhead is healthy
Control Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
controldb ready healthy StatefulSet controldb is healthy
control ready healthy ReplicaSet control is healthy
metricsdc ready healthy DaemonSet metricsdc is healthy
metricsui ready healthy ReplicaSet metricsui is healthy
metricsdb ready healthy StatefulSet metricsdb is healthy
logsui ready healthy ReplicaSet logsui is healthy
logsdb ready healthy StatefulSet logsdb is healthy
mgmtproxy ready healthy ReplicaSet mgmtproxy is healthy
controlwd ready healthy ReplicaSet controlwd is healthy
Gateway Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
gateway ready healthy StatefulSet gateway is healthy
App Services: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
appproxy ready healthy ReplicaSet appproxy is healthy
特定資源狀態
您可以使用 azdata bdc status show 命令來檢視叢集內特定資源的狀態。 當您使用此命令時，可以使用 --resource 參數進行篩選。 --resource 參數的幾個輸入範例包括：
- master
- 控制
- compute-0
- storage-0
- gateway
例如，下列命令會顯示儲存集區的狀態：
azdata bdc status show --all --resource storage-0
若要查看正在執行特定服務之所有元件的狀態，必須使用相應的命令群組 azdata bdc <serviceName> status show。 例如：
azdata bdc sql status show --allazdata bdc hdfs status show --allazdata bdc spark status show --all
範例輸出：
Storage-0: ready Health Status: healthy
===========================================================================================================================================================================================================================================
Instances: running Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Instancename State Healthstatus Details
storage-0-0 running healthy Pod storage-0-0 is healthy
storage-0-1 running healthy Pod storage-0-1 is healthy
Dashboards
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Name Url
nodeMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/nodemetrics/ui
sqlMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/sqlmetrics/ui
logsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/logs/ui
提示
執行 status 命令與 --all 參數以取得其他健全狀況詳細資料，包括對應至特定執行個體的計量和記錄儀表板連結。 以下是使用 --all 參數時的範例輸出：
Spark: ready Health Status: healthy
===========================================================================================================================================================================================================================================
Resources: ready Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Resourcename State Healthstatus Details
sparkhead ready healthy StatefulSet sparkhead is healthy
storage-0 ready healthy StatefulSet storage-0 is healthy
Sparkhead Resources: running Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Instancename State Healthstatus Details
sparkhead-0 running healthy Pod sparkhead-0 is healthy
sparkhead-1 running healthy Pod sparkhead-1 is healthy
Dashboards
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Name Url
nodeMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/sparkhead-1/status/nodemetrics/ui
sqlMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/sparkhead-1/status/sqlmetrics/ui
logsUrl https://13.91.50.9:30777/api/v1/bdc/instances/sparkhead-1/status/logs/ui
Storage-0 Resources: running Health Status: healthy
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Instancename State Healthstatus Details
storage-0-0 running healthy Pod storage-0-0 is healthy
storage-0-1 running healthy Pod storage-0-1 is healthy
Dashboards
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Name Url
nodeMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/nodemetrics/ui
sqlMetricsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/sqlmetrics/ui
logsUrl https://13.91.50.9:30777/api/v1/bdc/instances/storage-0-1/status/logs/ui
檢視控制器狀態
您可以使用 azdata bdc control status show 命令來檢視控制器狀態。 該命令可提供監視儀表板的類似連結，這些監視儀表板與巨量資料叢集的控制器元件相關。