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160 commits

Author SHA1 Message Date
Aliaksandr Valialkin
d5aeda0e1a app/vmselect/promql: skip rate calculation for the first point on time series 2020-01-08 14:42:53 +02:00
Aliaksandr Valialkin
d410c78c7e app/vmselect/promql: fix calculations for histogram_share 2020-01-04 14:44:48 +02:00
Aliaksandr Valialkin
d64699bb9f app/vmselect/promql: add missing MetricName into netstorage.Result in tests 2020-01-04 12:52:39 +02:00
Aliaksandr Valialkin
f409f2d050 app/vmselect/promql: add histogram_share(le, buckets) function 2020-01-04 12:45:55 +02:00
Aliaksandr Valialkin
b1ded7cf9a app/vmselect/promql: add absent_over_time(m[d]) func similar to the function in Prometheus 2.16 
See https://github.com/prometheus/prometheus/issues/2882
 2020-01-04 12:45:07 +02:00
Aliaksandr Valialkin
a8360d04c0 app/vmselect/promql: add histogram_over_time(m[d]) rollup function 2020-01-04 12:44:56 +02:00
Aliaksandr Valialkin
3e09d38f29 app/vmselect/promql: fix results caching for multi-arg rollup functions such as quantile_over_time 
Previosly only a single arg was taken into account, so caching didn't work properly for multi-arg rollup funcs.
 2020-01-03 20:49:08 +02:00
Aliaksandr Valialkin
a774120460 app/vmselect/promql: use scrapeInterval instead of window in denominator when calculating rate for the first point on the time series 
This should provide better estimation for `rate` in the beginning of time series.
 2020-01-03 19:01:50 +02:00
Aliaksandr Valialkin
b5645ccbdf app/vmselect/promql: increase the estimated number of time series returned by aggr() by (something) from 100 to 1K, since 100 may result in OOM for high number of time series 2020-01-03 01:02:21 +02:00
Aliaksandr Valialkin
cb3a342882 app/vmselect/promql: add share_le_over_time and share_gt_over_time functions for SLI and SLO calculations 2020-01-03 00:41:16 +02:00
Aliaksandr Valialkin
6f67e0b56b lib/metricsq: add ExpandWithExprs 2019-12-25 22:20:30 +02:00
Aliaksandr Valialkin
1925ee038d Rename lib/promql to lib/metricsql and apply small fixes 2019-12-25 22:03:59 +02:00
Mike Poindexter
bec62e4e43 Split Extended PromQL parsing to a separate library 2019-12-25 22:03:51 +02:00
Aliaksandr Valialkin
d880325cf6 app/vmselect/promql: make sure AdjustStartEnd returns time range covering the same number of points as the initial time range 
This should prevent from the following panic at app/vmselect/promql/binary_op.go:255:

    BUG: len(leftVaues) must match len(rightValues) and len(dstValues)
 2019-12-24 22:45:56 +02:00
Aliaksandr Valialkin
9e19949c6b app/vmselect/promql: adjust calculations for rate and increase for the first value 
These calculations should trigger alerts on `/api/v1/query` for counters starting from values greater than 0.
 2019-12-24 19:39:25 +02:00
Aliaksandr Valialkin
0455c03cb9 app/vmselect/promql: properly calculate rate on the first data point 
It is calculated as `value / scrape_interval`, since the value was missing on the previous scrape,
i.e. we can assume its value was 0 at this time.
 2019-12-24 15:55:52 +02:00
Aliaksandr Valialkin
5b75984aa9 app/vmselect/netstorage: move MustAdviseSequentialRead to lib/fs 2019-12-23 23:16:11 +02:00
Aliaksandr Valialkin
bea5a8700a app/vmselect: add -search.maxExportDuration command-line flag for limiting /api/v1/export duration 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/275
 2019-12-20 11:35:22 +02:00
Aliaksandr Valialkin
96ff8d9adb app/vmselect: add ability to pass match[], start and end to /api/v1/labels 
This makes the `/api/v1/labels` handler consistent with already existing functionality for `/api/v1/label/.../values`.

See https://github.com/prometheus/prometheus/issues/6178 for more details.
 2019-12-15 00:20:50 +02:00
Aliaksandr Valialkin
cea5a14853 all: rename Extended PromQL to PromQL extensions 2019-12-12 19:25:58 +02:00
Aliaksandr Valialkin
73b2a3d4b7 app/vmselect/promql: return lower and upper bounds for the estimated percentile from histogram_quantile if third arg is passed 
Updates https://github.com/prometheus/prometheus/issues/5706
 2019-12-11 13:57:26 +02:00
Aliaksandr Valialkin
caa4eb72d9 app/vmselect/promql: return matrix instead of vector on subqueries to /api/v1/query like Prometheus does 2019-12-11 01:00:26 +02:00
Aliaksandr Valialkin
3c076544bf app/vmselect/promql: allow negative offsets 
Updates https://github.com/prometheus/prometheus/issues/6282
 2019-12-11 01:00:23 +02:00
Aliaksandr Valialkin
c09472dfd9 app/vmselect/promql: add {topk|bottomk}_{min|max|avg|median} aggregate functions for returning the exact k time series on the given time range 
The full list of functions added:
- `topk_min(k, q)` - returns top K time series with the max minimums on the given time range
- `topk_max(k, q)` - returns top K time series with the max maximums on the given time range
- `topk_avg(k, q)` - returns top K time series with the max averages on the given time range
- `topk_median(k, q)` - returns top K time series with the max medians on the given time range
- `bottomk_min(k, q)` - returns bottom K time series with the min minimums on the given time range
- `bottomk_max(k, q)` - returns bottom K time series with the min maximums on the given time range
- `bottomk_avg(k, q)` - returns bottom K time series with the min averages on the given time range
- `bottomk_median(k, q)` - returns bottom K time series with the min medians on the given time range
 2019-12-05 19:26:47 +02:00
Aliaksandr Valialkin
face3d57bf app/vmselect: add placeholders for /api/v1/rules and /api/v1/alerts 2019-12-03 19:36:33 +02:00
Aliaksandr Valialkin
20812008a7 lib/storage: remove metricID with missing metricID->metricName entry 
The metricID->metricName entry can be missing in the indexdb after unclean shutdown
when only a part of entries for new time series is written into indexdb.

Recover from such a situation by removing the broken metricID. New metricID
will be automatically created for time series with the given metricName
when new data point will arive to it.
 2019-12-02 20:46:44 +02:00
Aliaksandr Valialkin
9476b73527 app/vmselect/promql: estimate per-series scrape interval as 0.6 quantile for the first 100 intervals 
This should improve scrape interval estimation for tiem series with gaps.
 2019-12-02 13:42:33 +02:00
Aliaksandr Valialkin
75ff524a4e app/vmselect/promql: fix corner case for increase over time series with gaps 
In this case `increase` could return invalid high value for the first point after the gap.
 2019-11-30 01:34:56 +02:00
Aliaksandr Valialkin
4c859d980c app/vmselect/prometheus: consistently apply nocache arg to /api/v1/query the same way ast to /api/v1/query_range 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/241
 2019-11-26 22:55:43 +02:00
Aliaksandr Valialkin
110235f789 app/vmselect/prometheus: fix content-type for /api/v1/export responses 
The correct Content-Type should be `application/stream+json` instead of `application/json`
Thanks to Joshua Ryder for pointing to this.
 2019-11-26 17:45:26 +02:00
Aliaksandr Valialkin
205233d9a7 app/vmselect/promql: remove zero timeseries from prometheus_buckets output 2019-11-25 19:10:23 +02:00
Aliaksandr Valialkin
3f99f39e9b app/vmselect/prometheus: reduce default value for -search.latencyOffset from 60s to 30s 
30 seconds should be enough for almost all the cases
 2019-11-25 16:33:42 +02:00
Aliaksandr Valialkin
e91cb34c0e app/vmselect/promql: allow nested parens 2019-11-25 16:13:41 +02:00
Aliaksandr Valialkin
826dfd63a5 vendor: update github.com/VictoriaMetrics/metrics from v1.9.0 to v1.9.1 2019-11-25 15:23:01 +02:00
Aliaksandr Valialkin
0401969d78 app/vmselect/promql: re-use metrics.Histogram when calculating histogram function for each point on the graph 
This should reduce the amounts memory allocations
 2019-11-25 14:24:21 +02:00
Aliaksandr Valialkin
da98703748 app/vmselect/promql: optimize binary search over big number of samples during rollup calculations 2019-11-25 14:01:46 +02:00
Aliaksandr Valialkin
c28876172f app/vmselect/promql: adjust tests after the upgrade of github.com/VictoriaMetrics/metrics from v1.8.3 to v1.9.0 2019-11-25 13:43:57 +02:00
Aliaksandr Valialkin
50ae1879c6 app/vmselect/promql: add histogram aggregate function, which is useful for building heatmaps from multiple time series 2019-11-24 00:04:25 +02:00
Aliaksandr Valialkin
8582b50360 app/vmselect/promql: do not take into account buckets with negative counters in prometheus_buckets 2019-11-23 14:19:25 +02:00
Aliaksandr Valialkin
19dfe52254 app/vmselect/promql: properly handle histogram_quantile(0, ...) with zero buckets 2019-11-23 14:02:35 +02:00
Aliaksandr Valialkin
4bb88843cf app/vmselect: add vm_per_query_{rows,series}_processed_count histograms 2019-11-23 13:23:26 +02:00
Aliaksandr Valialkin
7753c8c0a1 app/vmselect/promql: transparently apply prometheus_buckets in histogram_quantile 2019-11-23 11:48:51 +02:00
Aliaksandr Valialkin
c4287b3c86 app/vmselect/promql: add prometheus_buckets function for converting the upcoming histogram buckets from github.com/VictoriaMetrics/metrics to Prometheus-compatible buckets 2019-11-23 00:20:20 +02:00
Aliaksandr Valialkin
1f3fd2c910 app/vmselect: adjust end arg instead of adjusting start arg if start > end 
`start` arg has higher chances to be set properly comparing to `end` arg,
so it is expected that the `end` arg could be adjusted if it was set incorrectly.
 2019-11-22 16:12:19 +02:00
Aliaksandr Valialkin
7a4635f853 all: remove the remaining mentions of cluster version 2019-11-21 23:18:22 +02:00
Aliaksandr Valialkin
0094bc4fc9 app/vmselect/prometheus: properly adjust too big time time on /api/v1/query 
Too big `time` must be adjusted to `now()-queryOffset`.
 2019-11-19 00:42:00 +02:00
Aliaksandr Valialkin
3f1637fae8 app/vmselect/promql: properly calculate integrate(q[d]) 2019-11-13 21:10:41 +02:00
Aliaksandr Valialkin
3fd32e331a app/vmselect/promql: use universal approach for determining maxByteSliceLen on 32-bit and 64-bit archs 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/235
 2019-11-13 20:24:26 +02:00
Oleg Kovalov
b4f44befa3 fix misspelled words (#229) 2019-11-12 00:16:42 +02:00
Aliaksandr Valialkin
63b05c0b9f app/vmselect/promql: adjust memory limits calculations for incremental aggregate functions 
Incremental aggregate functions don't keep all the selected time series in memory -
they keep only up to GOMAXPROCS time series for incremental aggregations.

Take into account that the number of time series in RAM can be higher if they are split
into many groups with `by (...)` or `without (...)` modifiers.

This should reduce the number of `not enough memory for processing ... data points` false
positive errors.
 2019-11-08 21:21:07 +02:00