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dashboards: remove `path!="/favicon.ico"` filter from `requests rate` graphs
The `path!="/favicon.ico"` filter has little sense, since there are many other special paths,
which may be filtered out - /metrics, /flags, /health, /ping, /robots.txt, /-/healthy, /-/ready, /reload, etc.
See /lib/httpserver/httpserver.go for more details.
It will be hard or impossible to maintain filters for all these paths, so it is better to drop this filter
in order to simplify queries and improve the consistency of these queries.
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2023-11-14 08:50:06 +00:00
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2023-08-29 09:06:55 +00:00
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2024-02-02 15:21:21 +00:00
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2024-02-02 15:21:21 +00:00
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2024-11-13 00:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-11-13 00:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2023-08-29 09:06:55 +00:00
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"legendFormat" : "dial fails ({{job}})" ,
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} ,
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} ,
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"interval" : "" ,
"legendFormat" : "max scrape size exceeded ({{job}})" ,
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] ,
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"type" : "timeseries"
}
] ,
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"id" : 71 ,
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"description" : "Shows the rate of write requests served by ingestserver (UDP, TCP connections) and HTTP server." ,
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} ,
"links" : [ ] ,
"mappings" : [ ] ,
"min" : 0 ,
"thresholds" : {
"mode" : "absolute" ,
"steps" : [
{
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"color" : "green"
2023-08-29 09:06:55 +00:00
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} ,
"id" : 73 ,
"options" : {
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"displayMode" : "table" ,
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"editorMode" : "code" ,
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"expr" : "sum(rate(vm_ingestserver_requests_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by(job, type, net) > 0" ,
"interval" : "" ,
"legendFormat" : "{{net}}: {{ type }} ({{job}})" ,
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{
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} ,
"editorMode" : "code" ,
"exemplar" : true ,
"expr" : "sum(rate(vmagent_http_requests_total{job=~\"$job\", instance=~\"$instance\", protocol!=\"\"}[$__rate_interval])) by(job, protocol) > 0" ,
"interval" : "" ,
"legendFormat" : "{{ protocol }}: http ({{job}})" ,
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}
] ,
"title" : "Requests rate ($instance)" ,
"type" : "timeseries"
} ,
{
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"uid" : "$ds"
} ,
"description" : "Shows the rate of rows ingested in vmagent via push protocols." ,
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} ,
"custom" : {
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"x" : 12 ,
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"y" : 6
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"id" : 131 ,
"options" : {
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"title" : "Rows rate ($instance)" ,
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{
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"type" : "victoriametrics-datasource" ,
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} ,
2023-10-02 19:32:11 +00:00
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2023-08-29 09:06:55 +00:00
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2023-08-29 09:06:55 +00:00
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2023-08-29 09:06:55 +00:00
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2023-09-26 12:26:40 +00:00
"x" : 0 ,
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2023-10-02 19:32:11 +00:00
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"id" : 130 ,
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2024-06-10 09:49:00 +00:00
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2023-10-02 19:32:11 +00:00
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2024-06-10 09:49:00 +00:00
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2023-10-02 19:32:11 +00:00
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2023-10-02 19:32:11 +00:00
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"x" : 12 ,
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"y" : 14
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} ,
"id" : 77 ,
"options" : {
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"displayMode" : "table" ,
"placement" : "bottom" ,
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dashboards: remove `path!="/favicon.ico"` filter from `requests rate` graphs
The `path!="/favicon.ico"` filter has little sense, since there are many other special paths,
which may be filtered out - /metrics, /flags, /health, /ping, /robots.txt, /-/healthy, /-/ready, /reload, etc.
See /lib/httpserver/httpserver.go for more details.
It will be hard or impossible to maintain filters for all these paths, so it is better to drop this filter
in order to simplify queries and improve the consistency of these queries.
2023-11-16 18:26:03 +00:00
"expr" : "sum(rate(vm_ingestserver_request_errors_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by(type, net) > 0" ,
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"legendFormat" : "{{ type }} ({{net}})" ,
"refId" : "A"
} ,
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"interval" : "" ,
"legendFormat" : "{{ protocol }} (http)" ,
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"type" : "row"
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2024-07-30 12:57:17 +00:00
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2024-07-01 12:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-05 13:10:37 +00:00
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2023-08-29 09:06:55 +00:00
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"title" : "Matched samples ($instance)" ,
2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
"description" : "The rate of ignored samples during aggregation. \nStream aggregation will drop samples with NaN values, or samples with too old timestamps. See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples " ,
2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-30 12:57:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-10-30 15:44:08 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-05 13:10:37 +00:00
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2024-07-01 12:56:17 +00:00
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2024-09-03 12:23:35 +00:00
"legendFormat" : "__auto" ,
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"range" : true ,
"refId" : "A"
}
] ,
"title" : "Ignored samples ($instance)" ,
"type" : "timeseries"
} ,
{
"datasource" : {
"type" : "victoriametrics-datasource" ,
"uid" : "$ds"
} ,
"description" : "Shows the number of produced samples by the aggregation rule. \n\nNumber of produced samples depend on params like `by`, `without`, `interval`, etc.\n\nSee more details in [stream aggregation config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config). " ,
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"axisLabel" : "" ,
"axisPlacement" : "auto" ,
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"barAlignment" : 0 ,
"drawStyle" : "line" ,
"fillOpacity" : 0 ,
"gradientMode" : "none" ,
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"legend" : false ,
"tooltip" : false ,
"viz" : false
} ,
"insertNulls" : false ,
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"group" : "A" ,
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} ,
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"thresholds" : {
"mode" : "absolute" ,
"steps" : [
{
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"color" : "green"
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} ,
{
"color" : "red" ,
"value" : 80
}
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} ,
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"gridPos" : {
"h" : 8 ,
"w" : 12 ,
"x" : 0 ,
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"y" : 31
2024-07-01 12:56:17 +00:00
} ,
"id" : 147 ,
"options" : {
"legend" : {
"calcs" : [
"min" ,
"lastNotNull" ,
"max"
] ,
"displayMode" : "table" ,
"placement" : "bottom" ,
"showLegend" : true ,
"sortBy" : "Last *" ,
"sortDesc" : true
} ,
"tooltip" : {
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"sort" : "none"
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} ,
"targets" : [
{
"datasource" : {
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"uid" : "$ds"
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"editorMode" : "code" ,
app/vmagent/remotewrite: follow-up for f153f54d11250da050aa93bc4fa9b7ba9e144691
- Move the remaining code responsible for stream aggregation initialization from remotewrite.go to streamaggr.go .
This improves code maintainability a bit.
- Properly shut down streamaggr.Aggregators initialized inside remotewrite.CheckStreamAggrConfigs().
This prevents from potential resource leaks.
- Use separate functions for initializing and reloading of global stream aggregation and per-remoteWrite.url stream aggregation.
This makes the code easier to read and maintain. This also fixes INFO and ERROR logs emitted by these functions.
- Add an ability to specify `name` option in every stream aggregation config. This option is used as `name` label
in metrics exposed by stream aggregation at /metrics page. This simplifies investigation of the exposed metrics.
- Add `path` label additionally to `name`, `url` and `position` labels at metrics exposed by streaming aggregation.
This label should simplify investigation of the exposed metrics.
- Remove `match` and `group` labels from metrics exposed by streaming aggregation, since they have little practical applicability:
it is hard to use these labels in query filters and aggregation functions.
- Rename the metric `vm_streamaggr_flushed_samples_total` to less misleading `vm_streamaggr_output_samples_total` .
This metric shows the number of samples generated by the corresponding streaming aggregation rule.
This metric has been added in the commit 861852f2624895e01f93ce196607c72616ce2a94 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove the metric `vm_streamaggr_stale_samples_total`, since it is unclear how it can be used in practice.
This metric has been added in the commit 861852f2624895e01f93ce196607c72616ce2a94 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove Alias and aggrID fields from streamaggr.Options struct, since these fields aren't related to optional params,
which could modify the behaviour of the constructed streaming aggregator.
Convert the Alias field to regular argument passed to LoadFromFile() function, since this argument is mandatory.
- Pass Options arg to LoadFromFile() function by reference, since this structure is quite big.
This also allows passing nil instead of Options when default options are enough.
- Add `name`, `path`, `url` and `position` labels to `vm_streamaggr_dedup_state_size_bytes` and `vm_streamaggr_dedup_state_items_count` metrics,
so they have consistent set of labels comparing to the rest of streaming aggregation metrics.
- Convert aggregator.aggrStates field type from `map[string]aggrState` to `[]aggrOutput`, where `aggrOutput` contains the corresponding
`aggrState` plus all the related metrics (currently only `vm_streamaggr_output_samples_total` metric is exposed with the corresponding
`output` label per each configured output function). This simplifies and speeds up the code responsible for updating per-output
metrics. This is a follow-up for the commit 2eb1bc4f814037ae87ac6556011ae0d3caee6bc8 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6604
- Added missing urls to docs ( https://docs.victoriametrics.com/stream-aggregation/ ) in error messages. These urls help users
figuring out why VictoriaMetrics or vmagent generates the corresponding error messages. The urls were removed for unknown reason
in the commit 2eb1bc4f814037ae87ac6556011ae0d3caee6bc8 .
- Fix incorrect update for `vm_streamaggr_output_samples_total` metric in flushCtx.appendSeriesWithExtraLabel() function.
While at it, reduce memory usage by limiting the maximum number of samples per flush to 10K.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5467
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6268
2024-07-15 16:01:37 +00:00
"expr" : "sum(rate(vm_streamaggr_output_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])) without (instance, pod) > 0" ,
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"instant" : false ,
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"legendFormat" : "__auto" ,
2023-08-29 09:06:55 +00:00
"range" : true ,
"refId" : "A"
}
] ,
2024-07-01 12:56:17 +00:00
"title" : "Produced samples ($instance)" ,
2023-08-29 09:06:55 +00:00
"type" : "timeseries"
} ,
{
"datasource" : {
"type" : "victoriametrics-datasource" ,
"uid" : "$ds"
} ,
2024-06-10 09:49:00 +00:00
"description" : "Shows events when deduplication or aggregation couldn't be finished in the configured interval. Such events may result into bad accuracy of produced data.\n\nPossible solutions:\n* increase interval; \n* use match filter matching smaller number of series;\n* reduce samples ingestion rate to stream aggregation" ,
2023-08-29 09:06:55 +00:00
"fieldConfig" : {
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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{
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"color" : "green"
2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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} ,
2024-06-10 09:49:00 +00:00
"id" : 139 ,
2023-08-29 09:06:55 +00:00
"options" : {
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-07-05 13:10:37 +00:00
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2024-06-10 09:49:00 +00:00
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2024-09-03 12:23:35 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-07-05 13:10:37 +00:00
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2024-06-10 09:49:00 +00:00
"hide" : false ,
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2024-09-03 12:23:35 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
}
] ,
2024-07-01 12:56:17 +00:00
"title" : "Flush timeouts ($instance)" ,
2023-08-29 09:06:55 +00:00
"type" : "timeseries"
} ,
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"type" : "victoriametrics-datasource" ,
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} ,
2024-07-01 12:56:17 +00:00
"description" : "Shows the max lag between samples timestamps within one batch passed to the aggregation input.\n\nLower is better.\n\nToo high lag or lag exceeding the interval might be a sign that data was delayed before aggregation or resource insufficiency on aggregator. Samples with high lag may affect accuracy of aggregation.\n\nSee https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples" ,
2023-08-29 09:06:55 +00:00
"fieldConfig" : {
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2024-06-10 09:49:00 +00:00
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2024-07-30 12:57:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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"x" : 0 ,
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} ,
2024-06-10 09:49:00 +00:00
"id" : 142 ,
2023-08-29 09:06:55 +00:00
"options" : {
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2024-06-10 09:49:00 +00:00
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2024-07-05 13:10:37 +00:00
"expr" : "histogram_quantile(0.99, sum(rate(vm_streamaggr_samples_lag_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])) without (instance, pod))" ,
2024-06-10 09:49:00 +00:00
"instant" : false ,
2024-09-03 12:23:35 +00:00
"legendFormat" : "__auto" ,
2023-08-29 09:06:55 +00:00
"range" : true ,
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2024-07-01 12:56:17 +00:00
"title" : "Samples lag 0.99 quantile ($instance)" ,
2023-08-29 09:06:55 +00:00
"type" : "timeseries"
} ,
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"datasource" : {
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"uid" : "$ds"
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2024-07-01 12:56:17 +00:00
"description" : "The 99th percentile of avg flush duration for the aggregated data. \n\nSmaller is better.\n\nAggregation can produce incorrect results ff flush duration exceeds configured deduplication interval. See \"Flush Timeouts\" panel." ,
2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2024-07-30 12:57:17 +00:00
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2024-07-01 12:56:17 +00:00
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"options" : {
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2024-07-01 12:56:17 +00:00
"expr" : "histogram_quantile(0.99, rate(vm_streamaggr_dedup_flush_duration_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]))" ,
2024-06-10 09:49:00 +00:00
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2024-07-01 12:56:17 +00:00
"title" : "Dedup flush duration 0.99 quantile ($instance)" ,
2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
{
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2024-07-30 12:57:17 +00:00
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2024-07-01 12:56:17 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
"options" : {
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2024-06-10 09:49:00 +00:00
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2024-07-01 12:56:17 +00:00
"expr" : "max(vm_streamaggr_labels_compressor_items_count{job=~\"$job\",instance=~\"$instance\"}) by(job, instance)" ,
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2024-06-10 09:49:00 +00:00
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2024-07-01 12:56:17 +00:00
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"refId" : "A"
2024-07-01 12:56:17 +00:00
} ,
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"hide" : false ,
"instant" : false ,
"legendFormat" : "bytes: {{instance}} ({{job}})" ,
"range" : true ,
"refId" : "B"
2024-06-10 09:49:00 +00:00
}
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2024-07-01 12:56:17 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-07-01 12:56:17 +00:00
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2024-07-30 12:57:17 +00:00
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2023-08-29 09:06:55 +00:00
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2024-10-30 15:44:08 +00:00
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2023-08-29 09:06:55 +00:00
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2023-08-29 09:06:55 +00:00
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2024-10-30 15:44:08 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2023-08-29 09:06:55 +00:00
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2024-06-10 09:49:00 +00:00
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2024-02-02 14:48:26 +00:00
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