mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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Merge branch 'public-single-node' into pmm-6401-read-prometheus-data-files
This commit is contained in:
commit
a38bf70679
5 changed files with 54 additions and 17 deletions
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@ -4642,12 +4642,12 @@
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},
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"editorMode": "code",
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"exemplar": false,
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"expr": "avg(\n rate(process_cpu_seconds_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_storage\", instance=~\"$instance\"}\n)",
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"expr": "median(\n rate(process_cpu_seconds_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_storage\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -4788,12 +4788,12 @@
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},
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"editorMode": "code",
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"exemplar": true,
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"expr": "avg(\n max_over_time(process_resident_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}\n)",
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"expr": "median(\n max_over_time(process_resident_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_storage\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -5381,11 +5381,11 @@
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"uid": "$ds"
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},
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"editorMode": "code",
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"expr": "avg(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) /\n (\n sum(vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) +\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n ) \n)",
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"expr": "median(\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) /\n (\n sum(vm_free_disk_space_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance) +\n sum(vm_data_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)\n ) \n)",
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"format": "time_series",
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"hide": false,
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -6255,12 +6255,12 @@
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},
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"editorMode": "code",
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"exemplar": true,
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"expr": "avg(\n rate(process_cpu_seconds_total{job=~\"$job_select\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_select\", instance=~\"$instance\"}\n)",
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"expr": "median(\n rate(process_cpu_seconds_total{job=~\"$job_select\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_select\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -6399,12 +6399,12 @@
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},
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"editorMode": "code",
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"exemplar": true,
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"expr": "avg(\n max_over_time(process_resident_memory_bytes{job=~\"$job_select\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_select\", instance=~\"$instance\"}\n)",
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"expr": "median(\n max_over_time(process_resident_memory_bytes{job=~\"$job_select\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_select\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -7364,12 +7364,12 @@
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},
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"editorMode": "code",
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"exemplar": true,
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"expr": "avg(\n rate(process_cpu_seconds_total{job=~\"$job_insert\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_insert\", instance=~\"$instance\"}\n)",
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"expr": "median(\n rate(process_cpu_seconds_total{job=~\"$job_insert\", instance=~\"$instance\"}[$__rate_interval])\n /\n process_cpu_cores_available{job=~\"$job_insert\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -7508,12 +7508,12 @@
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},
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"editorMode": "code",
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"exemplar": true,
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"expr": "avg(\n max_over_time(process_resident_memory_bytes{job=~\"$job_insert\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_insert\", instance=~\"$instance\"}\n)",
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"expr": "median(\n max_over_time(process_resident_memory_bytes{job=~\"$job_insert\", instance=~\"$instance\"}[$__rate_interval])\n /\n vm_available_memory_bytes{job=~\"$job_insert\", instance=~\"$instance\"}\n)",
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"format": "time_series",
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"hide": false,
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"interval": "",
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"intervalFactor": 1,
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"legendFormat": "avg",
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"legendFormat": "median",
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"range": true,
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"refId": "C"
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}
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@ -64,6 +64,7 @@ See also [case studies](https://docs.victoriametrics.com/CaseStudies.html).
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* [Brewblox: InfluxDB to Victoria Metrics](https://www.brewblox.com/dev/decisions/20210718_victoria_metrics.html)
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* [VictoriaMetrics static scraper](https://blog.differentpla.net/blog/2022/10/16/victoria-metrics-static-scraper/)
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* [VictoriaMetrics and Open Cosmos boldly takes edge computing to the edge of space](https://www.iot-now.com/2022/07/19/122423-victoriametrics-and-open-cosmos-boldly-takes-edge-computing-to-the-edge-of-space/)
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* [Evaluating Backend Options For Prometheus Metrics](https://www.techetio.com/2022/08/21/evaluating-backend-options-for-prometheus-metrics/)
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## Our articles
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@ -23,6 +23,8 @@ The following tip changes can be tested by building VictoriaMetrics components f
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* FEATURE: [vmalert enterprise](https://docs.victoriametrics.com/vmalert.html): add ability to read alerting and recording rules from S3, GCS or S3-compatible object storage. See [these docs](https://docs.victoriametrics.com/vmalert.html#reading-rules-from-object-storage).
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* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `mad_over_time(m[d])` function for calculating the [median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) over raw samples on the lookbehind window `d`. See [this feature request](https://github.com/prometheus/prometheus/issues/5514).
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* BUGFIX: prevent from possible data ingestion slowdown and query performance slowdown during [background merges of big parts](https://docs.victoriametrics.com/#storage) on systems with small number of CPU cores (1 or 2 CPU cores). The issue has been introduced in [v1.85.0](https://docs.victoriametrics.com/CHANGELOG.html#v1850) when implementing [this feature](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3337). See also [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3790).
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## [v1.87.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.87.1)
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Released at 2023-02-09
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@ -788,7 +788,18 @@ func (tb *Table) notifyBackgroundMergers() bool {
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}
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}
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var flushConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs())
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var flushConcurrencyLimit = func() int {
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n := cgroup.AvailableCPUs()
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if n < 2 {
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// Allow at least 2 concurrent flushers on systems with a single CPU core
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// in order to guarantee that in-memory data flushes and background merges can be continued
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// when a single flusher is busy with the long merge.
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n = 2
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}
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return n
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}()
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var flushConcurrencyCh = make(chan struct{}, flushConcurrencyLimit)
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func needAssistedMerge(pws []*partWrapper, maxParts int) bool {
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if len(pws) < maxParts {
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@ -615,7 +615,19 @@ func (pt *partition) notifyBackgroundMergers() bool {
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}
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}
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var flushConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs())
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var flushConcurrencyLimit = func() int {
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n := cgroup.AvailableCPUs()
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if n < 3 {
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// Allow at least 3 concurrent flushers on systems with a single CPU core
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// in order to guarantee that in-memory data flushes and background merges can be continued
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// when a single flusher is busy with the long merge of big parts,
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// while another flusher is busy with the long merge of small parts.
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n = 3
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}
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return n
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}()
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var flushConcurrencyCh = make(chan struct{}, flushConcurrencyLimit)
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func needAssistedMerge(pws []*partWrapper, maxParts int) bool {
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if len(pws) < maxParts {
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@ -1007,7 +1019,7 @@ func hasActiveMerges(pws []*partWrapper) bool {
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return false
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}
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var mergeWorkersLimitCh = make(chan struct{}, getDefaultMergeConcurrency(16))
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var mergeWorkersLimitCh = make(chan struct{}, adjustMergeWorkersLimit(getDefaultMergeConcurrency(16)))
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var bigMergeWorkersLimitCh = make(chan struct{}, getDefaultMergeConcurrency(4))
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@ -1038,9 +1050,20 @@ func SetMergeWorkersCount(n int) {
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// Do nothing
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return
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}
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n = adjustMergeWorkersLimit(n)
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mergeWorkersLimitCh = make(chan struct{}, n)
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}
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func adjustMergeWorkersLimit(n int) int {
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if n < 2 {
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// Allow at least 2 merge workers on systems with a single CPU core
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// in order to guarantee that background merges can be continued
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// when a single worker is busy with the long merge of big parts.
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return 2
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}
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return n
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}
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func (pt *partition) startMergeWorkers() {
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// Start a merge worker per available CPU core.
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// The actual number of concurrent merges is limited inside mergeWorker() below.
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