使用 azdata 和 kubectl 监视大数据群集
本文介绍了如何使用 azdata 和 kubectl 查看大数据群集的状态。
重要
Microsoft SQL Server 2019 大数据群集附加产品将停用。 对 SQL Server 2019 大数据群集的支持将于 2025 年 2 月 28 日结束。 具有软件保障的 SQL Server 2019 的所有现有用户都将在平台上获得完全支持，在此之前，该软件将继续通过 SQL Server 累积更新进行维护。 有关详细信息，请参阅公告博客文章和 Microsoft SQL Server 平台上的大数据选项。
使用 azdata
还可以使用 azdata 命令来查看终结点和群集状态。
服务终结点
使用 azdata login 对大数据群集进行身份验证。 将
--controller-endpoint参数设置为控制器终结点的外部 IP 地址。azdata login --endpoint https://<ip-address-of-controller-svc-external>:30080 --username <user-name>指定在部署过程中为控制器配置的用户名和密码（AZDATA_USERNAME 和 AZDATA_PASSWORD）。
对于 AD 身份验证，该命令为：
azdata login --endpoint https://<control_domain_name>:30080 --auth ad运行
azdata bdc endpoint list可获取一个列表，其中包含每个终结点的描述及其对应的 IP 地址和端口值。azdata bdc endpoint list -o table以下列表显示了此命令的示例输出：
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
查看群集状态
可以通过 azdata bdc status show 命令查看群集的状态。
azdata bdc status show
提示
若要运行状态命令，必须先用前面的终结点部分中所示的 azdata login 命令登录。
以下显示了此命令的示例输出：
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
特定资源状态
可通过 azdata bdc status show 命令查看群集中特定资源的状态。 使用此命令时，可以使用 --resource 参数进行筛选。 --resource 参数输入的几个示例包括：
- master
- 控制
- compute-0
- storage-0
- gateway
例如，以下命令显示存储池的状态：
azdata bdc status show --all --resource storage-0
若要查看运行特定服务的所有组件的状态，则必须使用相应的命令组 azdata bdc <serviceName> status show。 例如：
azdata bdc sql status show --allazdata bdc hdfs status show --allazdata bdc spark status show --all
示例输出：
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
运行包含 --all 参数的状态命令可获取其他运行状况详细信息，包括指向与特定实例相对应的指标和日志仪表板的链接。 下面是使用 --all 参数时的示例输出：
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
查看控制器状态
可以通过 azdata bdc control status show 命令查看控制器状态。 它提供类似链接，可链接到与大数据群集的控制器组件相关的监视仪表板。
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