云服务器特惠 99/年起
  1. 腾讯云优惠网首页
  2. 腾讯云产品

腾讯云可观测平台 弹性 MapReduce（Impala）

• 腾讯云产品

这里说明了腾讯云弹性 MapReduce（Impala）相关的监控数据查询，包括不同组件（Impala-CATALOG、Impala-STATESTORE、Impala-DAEMON）监控数据的入参取值方式。查询入参说明: 分别阐述了查询弹性 MapReduce 中 Impala-CATALOG、Impala-STATESTORE、Impala-DAEMON 监控数据时，Namespace 固定为 QCE/TXM。

相关产品
腾讯云可观测平台 产品页，含版本规格、价格与购买入口。

一、命名空间

Namespace = QCE/TXMR_IMPALA

二、监控指标

指标英文名 指标中文名 说明 单位 维度 统计规则
[period, statType]
ImpalaCatalogHeartbeatIntervalTimeLast ImpalaCatalog_心跳间隔_Last 心跳间隔_Last s host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogHeartbeatIntervalTimeMax ImpalaCatalog_心跳间隔_Max 心跳间隔_Max s host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogHeartbeatIntervalTimeMean ImpalaCatalog_心跳间隔_Mean 心跳间隔_Mean s host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogHeartbeatIntervalTimeMin ImpalaCatalog_心跳间隔_Min 心跳间隔_Min s id4impalacatalog
host4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogHeartbeatIntervalTimeStddev ImpalaCatalog_心跳间隔_Stddev 心跳间隔_Stddev s host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemheapcommittedm ImpalaCatalog_JVM内存_MemHeapCommittedM JVM内存_MemHeapCommittedM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemheapinitm ImpalaCatalog_JVM内存_MemHeapInitM JVM内存_MemHeapInitM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemheapmaxm ImpalaCatalog_JVM内存_MemHeapMaxM JVM内存_MemHeapMaxM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemheapusedm ImpalaCatalog_JVM内存_MemHeapUsedM JVM内存_MemHeapUsedM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemnonheapcommittedm ImpalaCatalog_JVM内存_MemNonHeapCommittedM JVM内存_MemNonHeapCommittedM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemnonheapinitm ImpalaCatalog_JVM内存_MemNonHeapInitM JVM内存_MemNonHeapInitM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogJvmMemMemnonheapusedm ImpalaCatalog_JVM内存_MemNonHeapUsedM JVM内存_MemNonHeapUsedM MiBytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogOsFdCountMaxfiledescriptorcount ImpalaCatalog_文件描述符数_MaxFileDescriptorCount 文件描述符数_MaxFileDescriptorCount Count host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogOsFdCountOpenfiledescriptorcount ImpalaCatalog_文件描述符数_OpenFileDescriptorCount 文件描述符数_OpenFileDescriptorCount Count host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogRss ImpalaCatalog_常驻内存集_RSS 常驻内存集_RSS Bytes id4impalacatalog
host4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogRtUptimeUptime ImpalaCatalog_进程运行时间_Uptime 进程运行时间_Uptime s host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogTcmallocPageheapfreebytes ImpalaCatalog_Tcmalloc内存_PageheapFreeBytes Tcmalloc内存_PageheapFreeBytes Bytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogTcmallocPageheapunmappedbytes ImpalaCatalog_Tcmalloc内存_PageheapUnmappedBytes Tcmalloc内存_PageheapUnmappedBytes Bytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogTcmallocPhysicalbytesreserved ImpalaCatalog_Tcmalloc内存_PhysicalBytesReserved Tcmalloc内存_PhysicalBytesReserved Bytes id4impalacatalog
host4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogTcmallocTotalbytesreserved ImpalaCatalog_Tcmalloc内存_TotalBytesReserved Tcmalloc内存_TotalBytesReserved Bytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogTcmallocUsed ImpalaCatalog_Tcmalloc内存_Used Tcmalloc内存_Used Bytes host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogThreadCountDaemonthreadcount ImpalaCatalog_线程数量_DaemonThreadCount 线程数量_DaemonThreadCount Count host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogThreadCountThreadcount ImpalaCatalog_线程数量_ThreadCount 线程数量_ThreadCount Count id4impalacatalog
host4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaCatalogThriftServerConnectionsUsed ImpalaCatalog_连接数_Used 连接数_Used Count host4impalacatalog
id4impalacatalog		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonBeeswaxFrontendConnInUse Beeswax_API客户端连接数_ConnInUse Beeswax_API客户端连接数_ConnInUse Count id4impaladaemon
host4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonH2FrontendConnInUse HS2_API客户端连接数_ConnInUse HS2_API客户端连接数_ConnInUse Count host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemheapcommittedm ImpalaDaemon_JVM内存_MemHeapCommittedM JVM内存_MemHeapCommittedM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemheapinitm ImpalaDaemon_JVM内存_MemHeapInitM JVM内存_MemHeapInitM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemheapmaxm ImpalaDaemon_JVM内存_MemHeapMaxM JVM内存_MemHeapMaxM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemheapusedm ImpalaDaemon_JVM内存_MemHeapUsedM JVM内存_MemHeapUsedM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemnonheapcommittedm ImpalaDaemon_JVM内存_MemNonHeapCommittedM JVM内存_MemNonHeapCommittedM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemnonheapinitm ImpalaDaemon_JVM内存_MemNonHeapInitM JVM内存_MemNonHeapInitM MiBytes id4impaladaemon
host4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonJvmMemMemnonheapusedm ImpalaDaemon_JVM内存_MemNonHeapUsedM JVM内存_MemNonHeapUsedM MiBytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonOsFdCountMaxfiledescriptorcount ImpalaDaemon_文件描述符数_MaxFileDescriptorCount 文件描述符数_MaxFileDescriptorCount Count id4impaladaemon
host4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonOsFdCountOpenfiledescriptorcount ImpalaDaemon_文件描述符数_OpenFileDescriptorCount 文件描述符数_OpenFileDescriptorCount Count host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonRtUptimeUptime ImpalaDaemon_进程运行时间_Uptime 进程运行时间_Uptime s host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonTcmallocPageheapfreebytes ImpalaDaemon_Tcmalloc内存_PageheapFreeBytes Tcmalloc内存_PageheapFreeBytes Bytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonTcmallocPageheapunmappedbytes ImpalaDaemon_Tcmalloc内存_PageheapUnmappedBytes Tcmalloc内存_PageheapUnmappedBytes Bytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonTcmallocPhysicalbytesreserved ImpalaDaemon_Tcmalloc内存_PhysicalBytesReserved Tcmalloc内存_PhysicalBytesReserved Bytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonTcmallocTotalbytesreserved ImpalaDaemon_Tcmalloc内存_TotalBytesReserved Tcmalloc内存_TotalBytesReserved Bytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonTcmallocUsed ImpalaDaemon_Tcmalloc内存_Used Tcmalloc内存_Used Bytes host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonThreadCountDaemonthreadcount ImpalaDaemon_线程数量_DaemonThreadCount 线程数量_DaemonThreadCount Count host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaDaemonThreadCountThreadcount ImpalaDaemon_线程数量_ThreadCount 线程数量_ThreadCount Count host4impaladaemon
id4impaladaemon		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreRss ImpalaStateStore_常驻内存集_RSS 常驻内存集_RSS Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreRunningThreadsCount ImpalaStateStore_运行线程数_Count 运行线程数_Count Count id4impalastatestore
host4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreStatestoreLiveBackendsCount ImpalaStateStore_StateStore订阅者数量_Count StateStore订阅者数量_Count Count id4impalastatestore
host4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreTcmallocPageheapfreebytes ImpalaStateStore_Tcmalloc内存_PageheapFreeBytes Tcmalloc内存_PageheapFreeBytes Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreTcmallocPageheapunmappedbytes ImpalaStateStore_Tcmalloc内存_PageheapUnmappedBytes Tcmalloc内存_PageheapUnmappedBytes Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreTcmallocPhysicalbytesreserved ImpalaStateStore_Tcmalloc内存_PhysicalBytesReserved Tcmalloc内存_PhysicalBytesReserved Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreTcmallocTotalbytesreserved ImpalaStatestore_Tcmalloc内存_TotalBytesReserved Tcmalloc内存_TotalBytesReserved Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreTcmallocUsed ImpalaDaemon_Tcmalloc内存_Used Tcmalloc内存_Used Bytes host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]
ImpalaStatestoreThriftServerConnectionsUsed ImpalaStatestore_连接数_Used 连接数_Used Count host4impalastatestore
id4impalastatestore		 [ 60s, max ]
[ 300s, max ]
[ 3600s, max ]
[ 86400s, max ]

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 host4impalacatalog EMR 实例中节点 IP 的维度名称 输入 String 类型维度名称：host4impalacatalog
Instances.N.Dimensions.0.Value host4impalacatalog EMR 实例中具体节点 IP 输入具体节点 IP，可从控制台获取，登录腾讯云 MapReduce 控制台 > 单击实例 > 集群资源 > 资源管理 > 节点内网 IP。也可通过 查询节点信息 API 获取。
Instances.N.Dimensions.1.Name id4impalacatalog EMR 实例 ID 的维度名称 输入 String 类型维度名称：id4impalacatalog
Instances.N.Dimensions.1.Value id4impalacatalog EMR 实例 ID 的维度名称 输入 EMR 具体实例 ID，例如：emr-mm8bs222
Instances.N.Dimensions.0.Name host4impalastatestore EMR 实例中节点 IP 的维度名称 输入 String 类型维度名称：host4impalastatestore
Instances.N.Dimensions.0.Value host4impalastatestore EMR 实例中具体节点 IP 输入具体节点 IP，可从控制台获取，登录 腾讯云 MapReduce 控制台 > 单击实例 > 集群资源 > 资源管理 > 节点内网 IP。也可通过 查询节点信息 API 获取。
Instances.N.Dimensions.1.Name id4impalastatestore EMR 实例 ID 的维度名称 输入 String 类型维度名称：id4impalastatestore
Instances.N.Dimensions.1.Value id4impalastatestore EMR 实例 ID 的维度名称 输入 EMR 具体实例 ID，例如：emr-mm8bs222
Instances.N.Dimensions.0.Name host4impaladaemon EMR 实例中节点 IP 的维度名称 输入 String 类型维度名称：host4impaladaemon
Instances.N.Dimensions.0.Value host4impaladaemon EMR 实例中具体节点 IP 输入具体节点 IP，可从控制台获取，登录腾讯云 MapReduce 控制台 > 单击实例 > 集群资源 > 资源管理 > 节点内网 IP。也可通过 查询节点信息 API 获取。
Instances.N.Dimensions.1.Name id4impaladaemon EMR 实例 ID 的维度名称 输入 String 类型维度名称：id4impaladaemon
Instances.N.Dimensions.1.Value id4impaladaemon EMR 实例 ID 的维度名称 输入 EMR 具体实例 ID，例如：emr-mm8bs222

四、查询弹性 MapReduce（Impala-CATALOG）监控数据，入参取值如下：

Namespace=QCE/TXMR_IMPALA
&Instances.N.Dimensions.0.Name=host4impalacatalog
&Instances.N.Dimensions.0.Value=EMR 实例中具体节点 IP
&Instances.N.Dimensions.1.Name=id4impalacatalog
&Instances.N.Dimensions.1.Value=EMR 实例 ID

五、查询弹性 MapReduce（Impala-STATESTORE）监控数据，入参取值如下：

Namespace=QCE/TXMR_IMPALA
&Instances.N.Dimensions.0.Name=host4impalastatestore
&Instances.N.Dimensions.0.Value=EMR 实例中具体节点 IP
&Instances.N.Dimensions.1.Name=id4impalastatestore
&Instances.N.Dimensions.1.Value=EMR 实例 ID

六、查询弹性 MapReduce（Impala-DAEMON）监控数据，入参取值如下：

Namespace=QCE/TXMR_IMPALA
&Instances.N.Dimensions.0.Name=host4impaladaemon
&Instances.N.Dimensions.0.Value=EMR 实例中具体节点 IP
&Instances.N.Dimensions.1.Name=id4impaladaemon
&Instances.N.Dimensions.1.Value=EMR 实例 ID

相关内容：

  1. 腾讯云可观测平台 弹性 MapReduce（Ranger） 这里说明了弹性 MapReduce（Ranger）相关的监控数据查询，包括命名空间、监控指标及各维度对应参数总览，重点阐述了查询弹性 MapReduce（Ranger-Admin）和（Ranger-UserSync）监控数据的入参取值。查询弹性 MapReduce（Ranger-Admin）监控数据入参: Namespace=QCE/TXMR_RANGER ，Instances.N.Dimensions.0.Na。...
  2. 腾讯云可观测平台 弹性 MapReduce（Kylin） 这里说明了腾讯云弹性 MapReduce（Kylin）监控数据的查询方法及相关参数说明。包括命名空间、监控指标、各维度对应参数总览以及入参说明。入参说明: 查询弹性 MapReduce（Kylin）监控数据时，需设置入参，包括命名空间为 QCE/TXMR_KYLIN ，维度名称如 host4kylinkylin 对应 EMR 实例中具体节点 IP ，维度值如 id4kylinkylin 对应 EMR 实例具体 I。...
  3. 腾讯云可观测平台 弹性 MapReduce（PrestoSQL） 这篇说说了腾讯云弹性 MapReduce（PrestoSQL）监控数据的查询方法，包括不同维度下的入参设置。文中详细列出了查询概览、Worker 和 Coordinator 监控数据时的具体参数取值方式。查询弹性 MapReduce（PrestoSQL-概览）监控数据，需设置 Namespace 为 QCE/TXMR_PRESTOSQL ，并指定 Instances.N.Dimensions.0.Name 为 id4。...
  4. 腾讯云可观测平台 弹性 MapReduce（ZOOKEEPER） 这篇说说了如何查询弹性 MapReduce（ZOOKEEPER）监控数据，包括命名空间、监控指标及各维度对应参数总览，并详细说明了入参的具体取值。查询弹性 MapReduce（ZOOKEEPER）监控数据的相关信息，包括命名空间为 QCE/TXMR_ZOOKEEPER ，以及入参中各维度的名称和值的设定，如 Instances.N.Dimensions.0.Name 为 id4zookeeperzookeeper 。...
  5. 腾讯云可观测平台 弹性 MapReduce（Alluxio） 这里说明了腾讯云弹性 MapReduce（Alluxio）监控数据的查询方法，包括不同组件（Alluxio-Cluster、Alluxio-Master、Alluxio-Worker）监控数据的入参取值。查询入参: 详细说明了查询弹性 MapReduce（Alluxio-Cluster）监控数据时，Namespace 为 QCE/TXMR_ALLUXIO，且 Instances.N.Dimensions.1.Na。...
  6. 腾讯云可观测平台 弹性 MapReduce（Flume） 这里说明了腾讯云弹性 MapReduce（Flume）监控数据的相关内容，包括命名空间、监控指标、各维度对应参数总览以及入参说明。命名空间: 定义为 QCE/TXMR_FLUME。入参说明: 查询弹性 MapReduce（Flume）监控数据时，需提供命名空间及具体的实例维度参数，包括主机名和 EMR 实例 ID 等具体信息。...
  7. 腾讯云可观测平台 弹性 MapReduce（SPARK） 这里说明了腾讯云弹性 MapReduce（SPARK）监控数据的查询方法，包括命名空间、监控指标、各维度对应参数总览以及入参说明。查询方法: 通过指定命名空间QCE/TXMR_SPARK，并设置相关维度参数（如 EMR 实例具体 ID 和节点 IP）来查询弹性 MapReduce（SPARK）的监控数据。...
  8. 腾讯云可观测平台 弹性 MapReduce（HIVE） 这篇说说了腾讯云弹性 MapReduce（HIVE）的监控指标查询方式，主要包括三种维度组合的查询方式及其入参取值。具体维度包括 HIVE-HiveMetaStore、HIVE-HiveServer2 和 HIVE-HiveWebHcat。查询 HIVE-HiveMetaStore 的指标监控数据：命名空间：QCE/TXMR_HIVE维度参数：id4hivehivemetastore（EMR 实例 ID）、host4。...
赞 (0)
上一篇 4天前
下一篇 4天前