The output is pasted below. The line pertaining to 3d printer example is
printer.autogen.
Database Retention Policy Measurement
Points Received
_internal monitor cq
1910
_kapacitor autogen kapacitor
1909
telegraf autogen disk
2624
telegraf autogen cpu
1312
_internal monitor write
1910
_kapacitor autogen ingress
43657
_kapacitor autogen runtime
1909
telegraf autogen processes
656
printer autogen temperatures
864020
kapacitor_example autogen cpu
387
_internal monitor tsm1_engine
41415
_internal monitor httpd
1910
telegraf autogen kernel
656
_internal monitor queryExecutor
1910
_internal monitor tsm1_filestore
41415
_internal monitor shard
41415
_internal monitor tsm1_wal
41415
_internal monitor runtime
1910
_internal monitor subscriber
8940
telegraf autogen mem
656
_kapacitor autogen nodes
18723
_kapacitor autogen edges
26095
telegraf autogen system
656
telegraf autogen diskio
3280
_internal monitor database
5125
telegraf autogen swap
656
_internal monitor tsm1_cache
41415
On Tue, Oct 18, 2016 at 3:16 PM, <[email protected]> wrote:
> What is the output of `kapacitor stats ingress`?
>
> On Tuesday, October 18, 2016 at 2:11:13 PM UTC-6, A Sun wrote:
>>
>> I didn't see any error in the kapacitor.log file about not being able to
>> write to log files. I tried the telegraf/influxdb/kapacitor cpu_alert
>> example, which worked. So I think the problem is that the test data
>> generator wasn't able to write to the recording stream. I always got
>> "running" but not "finished" status on the recording stream.
>>
>> 5d954874-dff8-4a86-adc0-009a011c40f7 stream running 0 B 18
>> Oct 16 10:24 CDT
>>
>> On Tue, Oct 18, 2016 at 2:56 PM, <[email protected]> wrote:
>>
>>> Based on the stats from the show output it looks like all three alert
>>> nodes have produced at least some alerts. Does the directory /tmp/test
>>> exist? Is it writable by the kapacitord process? Are there any errors in
>>> the logs about not being able to write to the log files?
>>>
>>>
>>>
>>> On Tuesday, October 18, 2016 at 9:43:19 AM UTC-6, A Sun wrote:
>>>>
>>>> Hi, I'm new to kapacitor. I tried to follow the steps in custom anomaly
>>>> detection example (https://docs.influxdata.com/k
>>>> apacitor/v1.0/examples/anomaly_detection/)
>>>>
>>>> However, I don't see any alert log files after running the task.
>>>>
>>>> The data stream seems to be empty after running the test data
>>>> generator,
>>>>
>>>>
>>>> ID Type Status Size
>>>> Date
>>>> 8724ca17-7ff5-4694-8b66-aae14d4be7f4 stream running 0 B 18
>>>> Oct 16 10:28 CDT
>>>>
>>>>
>>>>
>>>> Here's output from "kapacitor show print_temps". It seems some events
>>>> were processed but no alerts were logged.
>>>>
>>>> {
>>>> "link": {
>>>> "rel": "self",
>>>> "href": "/kapacitor/v1/tasks/print_temps"
>>>> },
>>>> "id": "print_temps",
>>>> "template-id": "",
>>>> "type": "stream",
>>>> "dbrps": [
>>>> {
>>>> "db": "printer",
>>>> "rp": "autogen"
>>>> }
>>>> ],
>>>> "script": "// This TICKscript monitors the three temperatures for a
>>>> 3d printing job,\n// and triggers alerts if the temperatures start to
>>>> experience abnormal behavior.\n\n// Define our desired significance
>>>> level.\nvar alpha = 0.001\n\n// Select the temperatures measurements\nvar
>>>> data = stream\n |from()\n .measurement('temperatures')\n
>>>> |window()\n .period(5m)\n .every(5m)\n\ndata\n // Run our
>>>> tTest UDF on the hotend temperature\n @tTest()\n // specify the
>>>> hotend field\n .field('hotend')\n // Keep a 1h rolling
>>>> window\n .size(3600)\n // pass in the alpha value\n
>>>> .alpha(alpha)\n |alert()\n .id('hotend')\n .crit(lambda:
>>>> \"pvalue\" \u003c alpha)\n
>>>> .log('/tmp/test/hotend_failure.log')\n\n//
>>>> Do the same for the bed and air temperature.\ndata\n @tTest()\n
>>>> .field('bed')\n .size(3600)\n .alpha(alpha)\n |alert()\n
>>>> .id('bed')\n .crit(lambda: \"pvalue\" \u003c alpha)\n
>>>> .log('/tmp/test/bed_failure.log')\n\ndata\n @tTest()\n
>>>> .field('air')\n .size(3600)\n .alpha(alpha)\n |alert()\n
>>>> .id('air')\n .crit(lambda: \"pvalue\" \u003c alpha)\n
>>>> .log('/tmp/test/air_failure.log')\n",
>>>> "vars": {},
>>>> "dot": "digraph print_temps {\ngraph [throughput=\"0.00
>>>> points/s\"];\n\nstream0 [avg_exec_time_ns=\"0\" ];\nstream0 -\u003e from1
>>>> [processed=\"86402\"];\n\nfrom1 [avg_exec_time_ns=\"225.328µs\"
>>>> ];\nfrom1 -\u003e window2 [processed=\"86402\"];\n\nwindow2
>>>> [avg_exec_time_ns=\"160.576µs\" ];\nwindow2 -\u003e tTest7
>>>> [processed=\"288\"];\nwindow2 -\u003e tTest5 [processed=\"288\"];\nwindow2
>>>> -\u003e tTest3 [processed=\"288\"];\n\ntTest7
>>>> [avg_exec_time_ns=\"196.929082ms\"
>>>> ];\ntTest7 -\u003e alert8 [processed=\"214\"];\n\nalert8
>>>> [alerts_triggered=\"9\" avg_exec_time_ns=\"9.05µs\" crits_triggered=\"6\"
>>>> infos_triggered=\"0\" oks_triggered=\"3\" warns_triggered=\"0\"
>>>> ];\n\ntTest5 [avg_exec_time_ns=\"179.950039ms\" ];\ntTest5 -\u003e
>>>> alert6 [processed=\"211\"];\n\nalert6 [alerts_triggered=\"4\"
>>>> avg_exec_time_ns=\"23.838µs\" crits_triggered=\"3\" infos_triggered=\"0\"
>>>> oks_triggered=\"1\" warns_triggered=\"0\" ];\n\ntTest3
>>>> [avg_exec_time_ns=\"114.502568ms\" ];\ntTest3 -\u003e alert4
>>>> [processed=\"214\"];\n\nalert4 [alerts_triggered=\"4\"
>>>> avg_exec_time_ns=\"43.406µs\" crits_triggered=\"2\" infos_triggered=\"0\"
>>>> oks_triggered=\"2\" warns_triggered=\"0\" ];\n}",
>>>> "status": "enabled",
>>>> "executing": true,
>>>> "error": "",
>>>> "stats": {
>>>> "task-stats": {
>>>> "throughput": 0
>>>> },
>>>> "node-stats": {
>>>> "alert4": {
>>>> "alerts_triggered": 4,
>>>> "avg_exec_time_ns": 43406,
>>>> "collected": 214,
>>>> "crits_triggered": 2,
>>>> "emitted": 0,
>>>> "infos_triggered": 0,
>>>> "oks_triggered": 2,
>>>> "warns_triggered": 0
>>>> },
>>>> "alert6": {
>>>> "alerts_triggered": 4,
>>>> "avg_exec_time_ns": 23838,
>>>> "collected": 211,
>>>> "crits_triggered": 3,
>>>> "emitted": 0,
>>>> "infos_triggered": 0,
>>>> "oks_triggered": 1,
>>>> "warns_triggered": 0
>>>> },
>>>> "alert8": {
>>>> "alerts_triggered": 9,
>>>> "avg_exec_time_ns": 9050,
>>>> "collected": 214,
>>>> "crits_triggered": 6,
>>>> "emitted": 0,
>>>> "infos_triggered": 0,
>>>> "oks_triggered": 3,
>>>> "warns_triggered": 0
>>>> },
>>>> "from1": {
>>>> "avg_exec_time_ns": 225328,
>>>> "collected": 86402,
>>>> "emitted": 86402
>>>> },
>>>> "stream0": {
>>>> "avg_exec_time_ns": 0,
>>>> "collected": 86402,
>>>> "emitted": 86402
>>>> },
>>>> "tTest3": {
>>>> "avg_exec_time_ns": 114502568,
>>>> "collected": 220,
>>>> "emitted": 214
>>>> },
>>>> "tTest5": {
>>>> "avg_exec_time_ns": 179950039,
>>>> "collected": 217,
>>>> "emitted": 211
>>>> },
>>>> "tTest7": {
>>>> "avg_exec_time_ns": 196929082,
>>>> "collected": 221,
>>>> "emitted": 214
>>>> },
>>>> "window2": {
>>>> "avg_exec_time_ns": 160576,
>>>> "collected": 86402,
>>>> "emitted": 864
>>>> }
>>>> }
>>>> },
>>>> "created": "2016-10-17T21:33:16.176203257-05:00",
>>>> "modified": "2016-10-18T10:28:00.685262934-05:00",
>>>> "last-enabled": "2016-10-18T10:28:00.685262934-05:00"
>>>> }
>>>>
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