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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
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
add a comment |
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
add a comment |
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
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
zabbix
asked 20 hours ago
Gerald SchneiderGerald Schneider
6,56022646
6,56022646
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
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.
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
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
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
add a comment |
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.
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
add a comment |
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.
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.
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
add a comment |
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
add a comment |
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