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腾讯云可观测平台 消息队列 CKafka 版监控指标

• 腾讯云产品

查询 QCE/CKAFKA 监控数据，入参取值如下&Instances.N.Dimensions.0.Name=instanceId。

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一、命名空间

Namespace = QCE/CKAFKA

二、监控指标

指标名 指标中文名 指标说明 单位 维度 统计规则
[period, statType]
BConsumeLocalTime95thTime 消费本地耗时95th 消费本地耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeLocalTime999thTime 消费本地耗时999th 消费本地耗时999th ms broker_ip [60s, first][300s, last][3600s, last][86400s, last]
BConsumeRemoteTime95thTime 消费远程耗时95th 消费远程耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeRemoteTime999thTime 消费远程耗时999th 消费远程耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeRequestQueueTime95thTime 消费请求队列耗时95th 消费请求队列耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeRequestQueueTime999thTime 消费请求队列耗时999th 消费请求队列耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeResponseQueueTime95thTime 消费响应队列耗时95th 消费响应队列耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeResponseQueueTime999thTime 消费响应队列耗时999th 消费响应队列耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeThrottleTime95thTime 消费延迟回包耗时95th 消费延迟回包耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeThrottleTime999thTime 消费延迟回包耗时999th 消费延迟回包耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeTotalTime95thTime 消费总耗时95th 表示消费的总耗时，由请求队列耗时，本地耗时等指标汇总而成。注意，在每一个时间点，总耗时不会等于以上五个95th 耗时的累加。原因是每个指标都是各自取平均得到的。故不相等 ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BConsumeTotalTime999thTime 消费总耗时999th 表示消费的总耗时，由请求队列耗时，本地耗时等指标汇总而成。注意，在每一个时间点，总耗时不会等于以上五个999th 耗时的累加。原因是每个指标都是各自取平均得到的。故不相等 ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BIsrExpand ISR 扩充次数 Kafka ISR 扩充次数，即存在未同步副本的情况下，当未同步副本追上 leader 数据，会重新加入 ISR，此时该次数就会加1 Count broker_ip [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
BIsrShrink ISR 收缩次数 Kafka ISR 收缩次数，即当出现 broker 宕机，Zookeeper 重连的情况，会出现 ISR 缩小的次数统计 Count broker_ip [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
BNetworkProcessorAvgIdlePercent 网络处理空闲程度 用于衡量实例当前网络线程处理能力的指标，越接近1越空闲 % broker_ip [60s, first]
[300s, avg]
[3600s, avg]
[86400s, avg]
BProduceLocalTime95thTime 生产本地耗时95th 生产本地耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceLocalTime999thTime 生产本地耗时999th 生产本地耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceRemoteTime95thTime 生产远程耗时95th 生产远程耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceRemoteTime999thTime 生产远程耗时999th 生产远程耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceRequestQueueTime95thTime 生产请求队列耗时95th 生产请求队列耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceRequestQueueTime999thTime 生产请求队列耗时999th 生产请求队列耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceResponseQueueTime95thTime 生产响应回包队列耗时95th 生产响应回包队列耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceResponseQueueTime999thTime 生产响应回包队列耗时999th 生产响应回包队列耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceThrottleTime95thTime 生产延迟回包耗时95th 生产延迟回包耗时95th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceThrottleTime999thTime 生产延迟回包耗时999th 生产延迟回包耗时999th ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceTotalTime95thTime 生产总耗时95th 表示生产请求的总耗时，由请求队列耗时，本地耗时，延时回包耗时等指标汇总而成。注意，在每一个时间点，总耗时不会等于以上五个耗时的累加。原因是每个指标都是各自取平均得到的。故累加和与该值不相等 ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BProduceTotalTime999thTime 生产总耗时999th 表示生产请求的总耗时，由请求队列耗时，本地耗时，延时回包耗时等指标汇总而成。注意，在每一个时间点，总耗时不会等于以上五个耗时的累加。原因是每个指标都是各自取平均得到的。故累加和与该值不相等 ms broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BUnderAr 未同步副本 集群中存在的未同步的副本个数，当实例存在未同步副本，就表示集群的健康度可能有问题 None broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
BZookeeperDisConnectsCount zk 断连次数 Broker 和 ZooKeeper 之间的长连接断开重连的次数。网络波动，集群负载较高有可能会引起连接断开&重连。发生时会出现 leader 切换。该值是一个累加值，Broker 启动后，断连一次加1，只有 Broker 重启才会置0 None broker_ip [60s, first]
[300s, max]
[3600s, max]
[86400s, max]
CgroupMaxOffset 当前 partition 最大 offset 消费分组最大 offset count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
CpartitionConsumerSpeed 分区消费速度 分区消费速度 count/min consumerGroup, instanceId, partition, topicId, topicName [60s, first]
[300s, avg]
[3600s, avg]
[86400s, avg]
CpartitionMaxOffset 当前 partition 最大 offset 分区最大 offset count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
CpartitionOffset 当前消费 offset 分区当前消费 offset count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
CpartitionUnconsume 未消费的消息条数 分区当前未消费消息 count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
CpuUsage CPU 使用率 CPU 使用率 % instanceid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
CtopicConCount Topic 消费消息条数 消费者组消费速度是 Broker 通过 consume offset 统计的，而 Topic 或者实例的消费消息数是通过 Fetch 请求返回包统计的 count instanceId, topicId [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicConFlow Topic 消费流量 Topic 消费流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MB instanceId, topicId [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicConReqCount Topic 级别消费请求次数 Topic 级别消费请求次数，按照所选择的时间粒度统计求和 count instanceId, topicId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicConsumerSpeed 主题消费速度 主题消费速度 count/min consumerGroup, instanceId, topicId, topicName [60s, sum]
[300s, avg]
[3600s, avg]
[86400s, avg]
CtopicMsgCount Topic 落盘的消息总条数 Topic 落盘的消息总条数（不包含副本），按照所选择的时间粒度取最新值 count instanceId, topicId [10s, sum]
[60s, sum]
[300s, last]
[3600s, last]
[86400s, last]
CtopicMsgHeap Topic 占用磁盘的消息总量 Topic 占用磁盘的消息总量（不包含副本），按照所选择的时间粒度取最新值 MB instanceId, topicId [10s, sum]
[60s, sum]
[300s, last]
[3600s, last]
[86400s, last]
CtopicMsgOffset 当前消费 offset 主题级别消费分组 offset count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
CtopicProCount Topic 生产消息条数 Topic 生产消息条数，按照所选择的时间粒度统计求和 count instanceId, topicId [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicProFlow Topic 生产流量 Topic 生产流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MB instanceId, topicId [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicProReqCount Topic 级别生产请求次数 Topic 级别生产请求次数，按照所选择的时间粒度统计求和 count instanceId, topicId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
CtopicUnconsumeMsgCount 未消费的消息条数 分区未消费消息个数 count consumerGroup, instanceId, partition, topicId, topicName [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
CtopicUnconsumeMsgOffset 未消费消息堆积量 主题级别未消费消息 offset MB consumerGroup, instanceId, partition, topicId, topicName [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
DetectStatus 探测状态 Broker 实例状态 None broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
DiskUsage CVM 硬盘使用率 每台 CVM 上的硬盘实际使用情况。由于挂载 HDD/SSD 硬盘物理限制，且需要预留额外空间应对突发情况等原因，所有主机硬盘使用率之和与 CKafka 实例磁盘使用率不一定一致 % instanceid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConCount Topic 消费消息条数 实例消费消息条数，按照所选择的时间粒度统计求和 count instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceConFlow Topic 消费流量 实例消费流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MB instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceConnectCount 实例单节点最大连接数 客户端和服务器的连接数 count instanceId [60s, first]
[300s, last]
[3600s, last]
InstanceConnectPercentage 连接数百分比 实例连接数百分比（客户端和服务端连接数占配额百分比） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConReqCount Topic 级别消费请求次数 实例级别消费请求次数，按照所选择的时间粒度统计求和 count instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceConsumeBandwidthPercentage 实例消费带宽百分比 实例消费带宽百分比（实例消费带宽占配额百分比） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConsumeElasticLimit 实例消费弹性上限 实例消费弹性上限 MBytes/s instanceId [60s, last]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConsumeGroupNum 消费分组数 实例消费分组数量 None instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConsumeGroupPercentage 消费分组百分比 实例消费分组百分比（实例消费组数占配额百分比） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConsumeReservedBandwidth 实例消费预留规格 实例消费预留规格 MBytes/s instanceId [60s, last]
[300s, last]
[3600s, last]
[86400s, last]
InstanceConsumeThrottle 实例消费限流次数 实例消费限流次数 Count instanceId [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceDiskUsage 磁盘使用百分比 当前磁盘占用与实例规格磁盘总容量的百分比 % instanceId [60s, expr]
[300s, last]
[3600s, last]
InstanceLoad 集群负载 集群整体负载情况，所有节点中取最大值 % instanceId [60s,max][300s, max][3600s,max][86400s, max]
InstanceMaxConFlow 最大消费流量 实例消费消息峰值带宽（消费时无副本的概念） MBytes/s instanceId [60s, first]
[300s, max]
[3600s, max]
InstanceMaxProFlow 实例最大生产流量（不含副本） 实例生产消息峰值带宽（不包含副本生产的带宽） MBytes/s instanceId [60s, first]
[300s, max]
[3600s, max]
InstanceMaxReplicaProFlow 实例生产流量峰值含副本 实例生产流量峰值含副本 MBytes/s instanceId [60s, first]
[300s, max]
[3600s, max]
[86400s, max]
InstanceMsgCount 实例落盘的消息总条数 实例落盘的消息总条数（不包含副本），按照所选择的时间粒度取最新值 count instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceMsgHeap 实例磁盘占用量 实例磁盘占用量（包含副本），按照所选择的时间粒度取最新值 MB instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstancePartitionNum 实际使用分区副本数 实例 partition 数量 None instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstancePartitionPercentage partition 百分比 实例 partition 百分比（占用配额百分比） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceProCount Topic 生产消息条数 实例生产消息条数，按照所选择的时间粒度统计求和 count instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceProduceBandwidthPercentage 实例生产带宽百分比 实例生产带宽百分比（占用配额百分比） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceProduceThrottle 实例生产限流次数 实例生产限流次数 Count instanceId [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceProFlow Topic 生产流量 实例生产流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MB instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceProReqCount Topic 级别生产请求次数 实例级别生产请求次数，按照所选择的时间粒度统计求和 count instanceId [60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceProduceElasticLimit 实例生产弹性上限 实例生产弹性上限 MBytes/s instanceId [60s, last]
[300s, last]
[3600s, last]
[86400s, last]
InstanceProduceReservedBandwidth 实例生产预留规格 实例生产预留规格 MBytes/s instanceId [60s, last]
[300s, last]
[3600s, last]
[86400s, last]
InstanceReplicaProduceFlow 生产全流量（包含副本流量） 实例生产消息峰值带宽（包含副本生产的带宽） MBytes/s instanceId [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
InstanceTopicNum Topic 数量 实例 Topic 数量 None instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
InstanceTopicPercentage Topic 百分比 实例 Topic 百分比（占用配额） % instanceId [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
Intraffic 公网入带宽 公网入带宽 Bit/s instanceid [60s, avg]
[300s, avg]
[3600s, avg]
[86400s, avg]
LanIntraffic 内网入带宽 内网入带宽。按照所选择的时间粒度统计求和 MBytes instanceid [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
LanOuttraffic 内网出带宽 内网出带宽。按照所选择的时间粒度统计求和 MBytes instanceid [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
LastOldGcCount FullGC 次数 Broker Full GC 的次数 Count brokerip [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
LastYoungGcCount YoungGC 次数 Broker Young GC 的次数 Count brokerip [60s, first]
[300s, sum]
[3600s, sum]
[86400s, sum]
MaxOffsetTopic 当前 partition 最大 offset 消费分组对应当前 Topic 最大 offset count consumerGroup, instanceId, topicId, topicName [60s, max]
[300s, last]
[3600s, last]
[86400s, last]
MemUsage 内存利用率 内存利用率 % instanceid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
OffsetTopic 当前消费 offset 消费分组当前消费 offset count consumerGroup, instanceId, topicId, topicName [60s, max]
[300s, max]
[3600s, max]
[86400s, max]
Outtraffic 公网出带宽 公网出带宽 Bit/s instanceid [60s, avg]
[300s, avg]
[3600s, avg]
[86400s, avg]
PartitionConCount Partition 消费消息条数 Partition 消费消息条数，按照所选择的时间粒度统计求和 Count instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
PartitionConFlow Partition 消费流量 Partition 消费流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MBytes instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
PartitionMsgCount Partition 落盘的消息总条数 Partition 落盘的消息总条数（不包含副本），按照所选择的时间粒度取最新值 Count instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
PartitionMsgHeap Partition 占用磁盘的消息总量 Partition 占用磁盘的消息总量（不包含副本），按照所选择的时间粒度取最新值 MBytes instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
PartitionProCount Partition 生产消息条数 Partition 生产消息条数，按照所选择的时间粒度统计求和 Count instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
PartitionProFlow Partition 生产流量 Partition 生产流量（不包含副本产生的流量），按照所选择的时间粒度统计求和 MBytes instanceid, partition, topicid [10s, sum]
[60s, sum]
[300s, sum]
[3600s, sum]
[86400s, sum]
QueueSize 队列深度 请求队列深度反映当前未处理的生产请求个数，如果该值过大可能是同一时间请求量过大，CPU 负载过高或者磁盘 I/O 出现瓶颈 None broker_ip [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetBatchSizeAvg 每批平均处理数据记录数 每批平均处理数据记录数 Count setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetBatchSizeMax 批次最大处理数据记录数 批次最大处理数据记录数 Count setid [60s, first]
[300s, max]
[3600s, max]
[86400s, max]
SetMaxLag 未从源拉取到的记录数 未从源拉取到的记录数 Count setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetPollBatchAvgTimeMs 每批平均处理数据耗时 每批平均处理数据耗时 ms setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetPollBatchMaxTimeMs 批次拉取最大耗时 批次拉取最大耗时 ms setid [60s, max]
[300s, max]
[3600s, max]
[86400s, max]
SetRecordSendTotal 已写入目标的记录数 已写入目标的记录数 Count setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetRecordsLead 已从源拉取到的记录数 已从源拉取到的记录数 Count setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SetSourceRecordActiveCount 未写入目标的记录数 未写入目标的记录数 Count setid [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SourceRecordPollTotal 已拉取源数据的条数 已拉取源数据的条数 Count connectorname, task [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
SourceRecordWriteTotal 源数据已写入的条数 源数据已写入的条数 Count connectorname, task [60s, first]
[300s, last]
[3600s, last]
[86400s, last]
TMaxConsumeFlow Topic 最大消费流量 Topic 最大消费流量 MBytes/s instanceId, topicId [10s, first][60s, first][300s, max][3600s, max][86400s, max]
TMaxProduceFlow Topic 最大生产流量 Topic 最大生产流量（不含副本流量） MBytes/s instanceId, topicId [10s, first]
[60s, first]
[300s, max]
[3600s, max]
[86400s, max]
TTopicConsumeThrottle Topic 消费限流次数 Topic 消费限流次数 Count/s instanceId, topicId [10s, sum]
[60s, avg]
[300s, avg]
[3600s, avg]
[86400s, avg]
TTopicProduceThrottle Topic 生产限流次数 Topic 生产限流次数 Count/s instanceId, topicId [10s, sum]
[60s, avg]
[300s, avg]
[3600s, avg]
[86400s, avg]
UnconsumeSizeTopic 未消费消息堆积量 消费分组未消费消息大小 MB consumerGroup, instanceId, topicId, topicName [60s, sum]
[300s, last]
[3600s, last]
[86400s, last]
UnconsumeTopic 主题未消费消息数 消费分组未消费消息数 count consumerGroup, instanceId, topicId, topicName [60s, sum]
[300s, last]
[3600s, last]
[86400s, last]

三、各维度对应参数总览

参数名称 维度名称 维度解释 格式
Instances.N.Dimensions.0.Name instanceId CKafka 实例 ID 的维度名称 输入 String 类型维度名称：instanceId
Instances.N.Dimensions.0.Value instanceId CKafka 具体实例的 ID 输入实例具体 ID，格式为 ckafka-xxxxxx，例如：ckafka-123456
Instances.N.Dimensions.1.Name instanceid 专业版 ckafka 实例 ID 的维度名称 输入 String 类型维度名称：instanceid
Instances.N.Dimensions.1.Value instanceid 专业版 CKafka 实例下 Broker 所携带的 IP 作为实例 ID 传入 输入实例具体 ID，该字段为专业版 CKafka 实例下 Broker 所携带的 IP 作为实例 ID 传入，例如：10.x.xx.197
Instances.N.Dimensions.2.Name topicId 实例所在主题 ID 的维度名称 输入 String 类型维度名称：topicId
Instances.N.Dimensions.2.Value topicId 实例所在主题的具体主题 ID 输入主题具体 ID，例如：topic-123456
Instances.N.Dimensions.3.Name consumerGroup 消费分组的维度名称 输入 String 类型维度名称：consumerGroup
Instances.N.Dimensions.3.Value consumerGroup 具体消费分组信息 输入用户需要查看的消费分组信息，例如：perf-consumer-8330
Instances.N.Dimensions.4.Name partition partition 的维度名称 输入 String 类型维度名称：partition
Instances.N.Dimensions.4.Value partition 具体 partition 信息 输入 topic 分区信息，例如：0
Instances.N.Dimensions.5.Name topicName 主题的维度名称 输入 String 类型维度名称：topicName
Instances.N.Dimensions.5.Value topicName 具体主题名称 输入用户消费主题的名称，例如：test
Instances.N.Dimensions.6.Name broker_ip Broker IP 的维度名称 输入 String 类型维度名称：broker_ip
Instances.N.Dimensions.6.Value broker_ip 具体 Broker IP 输入用户要查看的 Broker IP，例如：10.0.219.172
Instances.N.Dimensions.7.Name setid 连接器任务 ID 的维度名称 输入 String 类型维度名称：setid
Instances.N.Dimensions.7.Value setid 具体的连接器任务 ID 输入具体的连接器任务 ID，例如：SMT_task-y97qqwbn
Instances.N.Dimensions.8.Name connectorname 连接器的维度名称 输入 String 类型维度名称：connectorname
Instances.N.Dimensions.8.Value connectorname 连接器的具体名称 输入具体的连接器名称：Connector-to-CKafka
Instances.N.Dimensions.9.Name task 连接器任务 ID 的维度名称 输入 String 类型维度名称：task
Instances.N.Dimensions.9.Value task 连接器任务的具体 ID 输入具体的连接器任务 ID，例如：SMT_task-y97qqwbn
Instances.N.Dimensions.10.Name brokerip Broker IP 的维度名称 输入 String 类型维度名称：brokerip
Instances.N.Dimensions.10.Value brokerip 具体 Broker IP 输入用户要查看的 Broker IP，例如：10.0.219.172

四、入参说明

&Namespace=QCE/CKAFKA

&Instances.N.Dimensions.0.Value=实例 ID

&Instances.N.Dimensions.1.Name=instanceid

&Instances.N.Dimensions.1.Value=实例 ID（专业版为 Broker IP 的值）

&Instances.N.Dimensions.2.Name=topicId

&Instances.N.Dimensions.2.Value=主题 ID

&Instances.N.Dimensions.3.Name=consumerGroup

&Instances.N.Dimensions.3.Value=消费分组

&Instances.N.Dimensions.4.Name=partition

&Instances.N.Dimensions.4.Value=分区

&Instances.N.Dimensions.5.Name=topicName

&Instances.N.Dimensions.5.Value=主题名称

&Instances.N.Dimensions.6.Name=broker_ip

&Instances.N.Dimensions.6.Value=Broker IP

&Instances.N.Dimensions.7.Name=setid

&Instances.N.Dimensions.7.Value=具体的连接器任务 ID

&Instances.N.Dimensions.8.Name=connectorname

&Instances.N.Dimensions.8.Value= 连接器名称

&Instances.N.Dimensions.9.Name= task

&Instances.N.Dimensions.9.Value=具体的任务 ID

&Instances.N.Dimensions.10.Name=brokerip

&Instances.N.Dimensions.10.Value=Broker IP

注意：说明：

注意：不同监控指标维度不同，请根据对应指标维度填写入参。

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