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, <nathan...@influxdb.com> 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, <nath...@influxdb.com> 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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