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Zabbix aggregate check Incorrect function expression



The Next CEO of Stack OverflowZabbix aggregate checks shows wrong statisticsHow to specify a scenario wildcard in Zabbix expression“Force check now” in zabbix 2.2.1Zabbix jmx check availabilityzabbix external check for application monitoringZabbix active check monitoring issueZabbix drops in SNMP from Cisco SG200 switchaggregate agent.ping in zabbixZabbix Trigger Hysteresis - Incorrect trigger expressionzabbix check via script always triggers










0















I'm trying to get an aggregated value over the latency from all datastores from all ESXi hosts.



I tried these variants of the grpmax aggregation function:



grpmax["Hypervisors","vmware.hv.datastore.read[$URL,HOST.HOST,,latency]",avg,600]
grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]


But for both I'm getting the error message:




Incorrect function expression: grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]




How do I have to enter the keys so that zabbix finds them in the aggregation?



The keys of the items I want to aggregate look like this:



vmware.hv.datastore.read[$URL,HOST.HOST,datastore1,latency]
vmware.hv.datastore.read[$URL,HOST.HOST,datastore2,latency]
vmware.hv.datastore.read[$URL,HOST.HOST,datastore3,latency]









share|improve this question


























    0















    I'm trying to get an aggregated value over the latency from all datastores from all ESXi hosts.



    I tried these variants of the grpmax aggregation function:



    grpmax["Hypervisors","vmware.hv.datastore.read[$URL,HOST.HOST,,latency]",avg,600]
    grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]


    But for both I'm getting the error message:




    Incorrect function expression: grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]




    How do I have to enter the keys so that zabbix finds them in the aggregation?



    The keys of the items I want to aggregate look like this:



    vmware.hv.datastore.read[$URL,HOST.HOST,datastore1,latency]
    vmware.hv.datastore.read[$URL,HOST.HOST,datastore2,latency]
    vmware.hv.datastore.read[$URL,HOST.HOST,datastore3,latency]









    share|improve this question
























      0












      0








      0








      I'm trying to get an aggregated value over the latency from all datastores from all ESXi hosts.



      I tried these variants of the grpmax aggregation function:



      grpmax["Hypervisors","vmware.hv.datastore.read[$URL,HOST.HOST,,latency]",avg,600]
      grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]


      But for both I'm getting the error message:




      Incorrect function expression: grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]




      How do I have to enter the keys so that zabbix finds them in the aggregation?



      The keys of the items I want to aggregate look like this:



      vmware.hv.datastore.read[$URL,HOST.HOST,datastore1,latency]
      vmware.hv.datastore.read[$URL,HOST.HOST,datastore2,latency]
      vmware.hv.datastore.read[$URL,HOST.HOST,datastore3,latency]









      share|improve this question














      I'm trying to get an aggregated value over the latency from all datastores from all ESXi hosts.



      I tried these variants of the grpmax aggregation function:



      grpmax["Hypervisors","vmware.hv.datastore.read[$URL,HOST.HOST,,latency]",avg,600]
      grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]


      But for both I'm getting the error message:




      Incorrect function expression: grpmax["Hypervisors","vmware.hv.datastore.read[,,,latency]",avg,600]




      How do I have to enter the keys so that zabbix finds them in the aggregation?



      The keys of the items I want to aggregate look like this:



      vmware.hv.datastore.read[$URL,HOST.HOST,datastore1,latency]
      vmware.hv.datastore.read[$URL,HOST.HOST,datastore2,latency]
      vmware.hv.datastore.read[$URL,HOST.HOST,datastore3,latency]






      zabbix






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 20 hours ago









      Gerald SchneiderGerald Schneider

      6,56022646




      6,56022646




















          1 Answer
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          0














          You can only aggregate items with the same key. In your example, you have datastore1, datastore2 and datastore3. Zabbix aggregate items do not support wildcards, there is a feature request to allow that.






          share|improve this answer























          • hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

            – Gerald Schneider
            19 hours ago











          • That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

            – Richlv
            16 hours ago











          Your Answer








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          1 Answer
          1






          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          You can only aggregate items with the same key. In your example, you have datastore1, datastore2 and datastore3. Zabbix aggregate items do not support wildcards, there is a feature request to allow that.






          share|improve this answer























          • hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

            – Gerald Schneider
            19 hours ago











          • That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

            – Richlv
            16 hours ago















          0














          You can only aggregate items with the same key. In your example, you have datastore1, datastore2 and datastore3. Zabbix aggregate items do not support wildcards, there is a feature request to allow that.






          share|improve this answer























          • hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

            – Gerald Schneider
            19 hours ago











          • That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

            – Richlv
            16 hours ago













          0












          0








          0







          You can only aggregate items with the same key. In your example, you have datastore1, datastore2 and datastore3. Zabbix aggregate items do not support wildcards, there is a feature request to allow that.






          share|improve this answer













          You can only aggregate items with the same key. In your example, you have datastore1, datastore2 and datastore3. Zabbix aggregate items do not support wildcards, there is a feature request to allow that.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 20 hours ago









          RichlvRichlv

          2,09511115




          2,09511115












          • hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

            – Gerald Schneider
            19 hours ago











          • That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

            – Richlv
            16 hours ago

















          • hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

            – Gerald Schneider
            19 hours ago











          • That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

            – Richlv
            16 hours ago
















          hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

          – Gerald Schneider
          19 hours ago





          hm, are you sure about that? The example 2 in the documentation (system.cpu.load[,avg1]) suggests that elements in the key can be left empty, which I interpred as "use all" . Since I don't need to filter the datastores I don't need wildcards here.

          – Gerald Schneider
          19 hours ago













          That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

          – Richlv
          16 hours ago





          That example expects items with the exact key to exist on the hosts in the target hostgroup. While parameters can be excluded in original items, the aggregate item must match the original key.

          – Richlv
          16 hours ago

















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