Aliaksandr Valialkin
b28c9a3944
app/vmselect/promql: return expected results from increase()
over the beginning of time series, which start from big value
...
Examples for such counters: OS-level counters for network or cpu stats.
2020-01-28 16:31:05 +02:00
Aliaksandr Valialkin
3e304890a6
app/vmselect/promql: fix panic on a single zero vmrange bucket in prometheus_buckets() function
...
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/296
2020-01-27 18:05:12 +02:00
Aliaksandr Valialkin
ea53a21b02
all: consistently log durations in seconds with millisecond precision
...
This should improve logs readability
2020-01-22 18:35:24 +02:00
Aliaksandr Valialkin
e127173984
app/vmselect: mention command-line flag, which could be used for adjusting query timeouts, in timeout errors
2020-01-22 15:53:42 +02:00
Aliaksandr Valialkin
40e564eb9c
app/vmselect/promql: add range_over_time(m[d])
function for calculating value range for m
over d
2020-01-21 19:05:29 +02:00
Aliaksandr Valialkin
9eaa2ab871
app/vmselect/promql: add label_match(q, label, regexp)
and label_mismatch(q, label, regexp)
functions for filtering out time series with labels matching the given regexp
2020-01-21 15:00:35 +02:00
Aliaksandr Valialkin
ce0b602405
app/vmselect/promql: fix panic on sum(aggr_over_time(...))
with incorrect number of args
2020-01-15 16:26:16 +02:00
Aliaksandr Valialkin
bcd3f0c5bd
app/vmselect/promql: add hoeffding_bound_upper(phi, m[d])
and hoeffding_bound_lower(phi, m[d])
functions
...
These functions can be used for calculating Hoeffding bounds
for `m` over `d` time range and for the given `phi` in the range `[0..1]`.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/283
2020-01-11 14:47:13 +02:00
Aliaksandr Valialkin
fc01b11ddc
app/vmselect/promql: return continuous values for min_over_time
and max_over_time
when step
is smaller than scrape_interval
2020-01-11 12:47:57 +02:00
Aliaksandr Valialkin
16fb128bbc
app/vmselect/promql: do not take into account the previous point before time window in square brackets for min_over_time
, max_over_time
, rollup_first
and rollup_last
functions
...
This makes the behaviour for these functions similar to Prometheus when processing broken time series with irregular data points
like `gitlab_runner_jobs`. See https://gitlab.com/gitlab-org/gitlab-exporter/issues/50 for details.
2020-01-11 00:26:11 +02:00
Aliaksandr Valialkin
adc36d00b7
app/vmselect/promql: properly handle aggr(aggr_over_time(...))
2020-01-10 21:57:11 +02:00
Aliaksandr Valialkin
87a106702b
app/vmselect/promql: add aggr_over_time(("aggr_func1", "aggr_func2", ...), m[d])
function
...
This function can be used for simultaneous calculating of multiple `aggr_func*` functions
that accept range vector. For example, `aggr_over_time(("min_over_time", "max_over_time"), m[d])`
would calculate `min_over_time` and `max_over_time` for `m[d]`.
2020-01-10 21:18:12 +02:00
Aliaksandr Valialkin
c314d9a219
app/vmselect/promql: add tmin_over_time(m[d])
and tmax_over_time(m[d])
functions
...
These functions return timestamp in seconds for the minimum and maximum value for `m` over time range `d`
2020-01-10 19:39:34 +02:00
Aliaksandr Valialkin
7c6df1e51d
app/vmselect/promql: skip rate
calculation for the first point on time series
2020-01-08 14:42:44 +02:00
Aliaksandr Valialkin
76707b2ab9
app/vmselect/promql: fix calculations for histogram_share
2020-01-04 14:44:15 +02:00
Aliaksandr Valialkin
accad01b3e
app/vmselect/promql: add missing MetricName into netstorage.Result in tests
2020-01-04 12:53:14 +02:00
Aliaksandr Valialkin
6f29d37cb5
app/vmselect/promql: add histogram_share(le, buckets)
function
2020-01-04 12:53:08 +02:00
Aliaksandr Valialkin
2290503140
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 12:53:01 +02:00
Aliaksandr Valialkin
67f94bbe12
app/vmselect/promql: add histogram_over_time(m[d])
rollup function
2020-01-04 12:52:56 +02:00
Aliaksandr Valialkin
9a1f6848ca
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 20:44:54 +02:00
Aliaksandr Valialkin
3d0c7b095a
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 19:03:32 +02:00
Aliaksandr Valialkin
6ea7f23446
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 01:02:30 +02:00
Aliaksandr Valialkin
e0abf45d45
app/vmselect/promql: add share_le_over_time
and share_gt_over_time
functions for SLI and SLO calculations
2020-01-03 00:41:36 +02:00
Aliaksandr Valialkin
eb1a66c577
lib/metricsq: add ExpandWithExprs
2019-12-25 22:20:21 +02:00
Aliaksandr Valialkin
453d71d082
Rename lib/promql to lib/metricsql and apply small fixes
2019-12-25 22:09:09 +02:00
Mike Poindexter
009d1559db
Split Extended PromQL parsing to a separate library
2019-12-25 22:09:07 +02:00
Aliaksandr Valialkin
ff18101d30
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 22:45:49 +02:00
Aliaksandr Valialkin
e24ee43109
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 19:41:03 +02:00
Aliaksandr Valialkin
9a2554691c
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 15:55:15 +02:00
Aliaksandr Valialkin
b238997a84
all: rename Extended PromQL
to PromQL extensions
2019-12-12 19:29:59 +02:00
Aliaksandr Valialkin
c25b97829f
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 14:00:18 +02:00
Aliaksandr Valialkin
f79b61e2a1
app/vmselect/promql: return matrix instead of vector on subqueries to /api/v1/query
like Prometheus does
2019-12-11 00:57:54 +02:00
Aliaksandr Valialkin
5d2ff573aa
app/vmselect/promql: allow negative offsets
...
Updates https://github.com/prometheus/prometheus/issues/6282
2019-12-11 00:57:51 +02:00
Aliaksandr Valialkin
d39bba3547
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 19:27:45 +02:00
Aliaksandr Valialkin
819bb36852
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 13:43:04 +02:00
Aliaksandr Valialkin
1e2019b1b6
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 01:34:18 +02:00
Aliaksandr Valialkin
28cc4c09b5
app/vmselect/promql: remove zero timeseries from prometheus_buckets
output
2019-11-25 19:10:13 +02:00
Aliaksandr Valialkin
f7da9b2db2
app/vmselect/promql: allow nested parens
2019-11-25 16:13:33 +02:00
Aliaksandr Valialkin
d2619d6dce
vendor: update github.com/VictoriaMetrics/metrics from v1.9.0 to v1.9.1
2019-11-25 15:22:50 +02:00
Aliaksandr Valialkin
f46fb6c740
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 14:24:30 +02:00
Aliaksandr Valialkin
0f184affa7
app/vmselect/promql: optimize binary search over big number of samples during rollup calculations
2019-11-25 14:01:54 +02:00
Aliaksandr Valialkin
dbd07041ae
app/vmselect/promql: adjust tests after the upgrade of github.com/VictoriaMetrics/metrics from v1.8.3 to v1.9.0
2019-11-25 13:44:08 +02:00
Aliaksandr Valialkin
8bb254d960
app/vmselect/promql: add histogram
aggregate function, which is useful for building heatmaps from multiple time series
2019-11-24 00:04:15 +02:00
Aliaksandr Valialkin
414259f47b
app/vmselect/promql: do not take into account buckets with negative counters in prometheus_buckets
2019-11-23 14:19:19 +02:00
Aliaksandr Valialkin
193d553f6d
app/vmselect/promql: properly handle histogram_quantile(0, ...)
with zero buckets
2019-11-23 14:02:25 +02:00
Aliaksandr Valialkin
4d76977745
app/vmselect/promql: transparently apply prometheus_buckets
in histogram_quantile
2019-11-23 11:49:16 +02:00
Aliaksandr Valialkin
5f6f03c692
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 00:21:56 +02:00
Aliaksandr Valialkin
77bb66a5be
app/vmselect/promql: properly calculate integrate(q[d])
2019-11-13 21:11:03 +02:00
Aliaksandr Valialkin
c33640664a
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 20:26:07 +02:00
Aliaksandr Valialkin
33abbec6b4
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 19:37:43 +02:00