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193 commits

Author SHA1 Message Date
Aliaksandr Valialkin
ec9bf39b5b app/vmselect: add -search.cacheTimestampOffset command-line flag 
This flag can be used for removing gaps on graphs if the difference between the current time
and the timestamps from the ingested data exceeds 5 minutes.

This is the case when the time between data sources and VictoriaMetrics is improperly synchronized.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/312
 2020-02-21 13:58:06 +02:00
Aliaksandr Valialkin
7b1c7051a3 app/vmselect: add sort_by_label(q, label) and sort_by_label_desc(q, label) functions 
This is implementation of https://github.com/prometheus/prometheus/pull/1533 for VictoriaMetrics.
 2020-02-13 17:01:37 +02:00
Aliaksandr Valialkin
a6c6a2debc app/vmselect/promql: do not add step to range end, since this hack became obsolete since commit 9e1119dab8 2020-02-05 21:22:19 +02:00
Aliaksandr Valialkin
78b62dee87 app/vmselect/promql: properly adjust time range for data to select 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/309
 2020-02-05 21:22:18 +02:00
Aliaksandr Valialkin
366693b9f1 app/vmselect: unconditionally offset -step to rollup_candlestick. This makes results more consistent 2020-02-04 23:32:12 +02:00
Aliaksandr Valialkin
525101339e app/vmselect/promql: automatically apply offset -step to rollup_candlestick function in order to obtain the expected OHLC results 
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/309
 2020-02-04 23:24:35 +02:00
Aliaksandr Valialkin
ada6a3da8d app/vmselect/promql: adjust rollup_candlestick calculations to the exepcted results 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/309
 2020-02-04 22:42:13 +02:00
Aliaksandr Valialkin
90cf356ea1 app/vmselect/promql: adjust and and unless binary operator handling to be consistent with Prometheus 2020-01-31 18:52:38 +02:00
Aliaksandr Valialkin
a462355b2f app/vmselect/promql: add keep_next_value(q) for filling gaps with the next non-empty value 2020-01-29 00:48:04 +02:00
Aliaksandr Valialkin
adbbc4fa1a 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 16:30:11 +02:00
Aliaksandr Valialkin
2392a359e1 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 18:04:55 +02:00
Aliaksandr Valialkin
680080887d all: consistently log durations in seconds with millisecond precision 
This should improve logs readability
 2020-01-22 18:28:27 +02:00
Aliaksandr Valialkin
efc7ad88ec app/vmselect: mention command-line flag, which could be used for adjusting query timeouts, in timeout errors 2020-01-22 15:50:48 +02:00
Aliaksandr Valialkin
582dd01f42 app/vmselect/promql: add range_over_time(m[d]) function for calculating value range for m over d 2020-01-21 19:05:17 +02:00
Aliaksandr Valialkin
36973ee975 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 15:00:20 +02:00
Aliaksandr Valialkin
2839f4688a app/vmselect/promql: fix panic on sum(aggr_over_time(...)) with incorrect number of args 2020-01-15 16:26:09 +02:00
Aliaksandr Valialkin
8b14572f70 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 14:46:23 +02:00
Aliaksandr Valialkin
8eaced8cae app/vmselect/promql: return continuous values for min_over_time and max_over_time when step is smaller than scrape_interval 2020-01-11 12:47:50 +02:00
Aliaksandr Valialkin
46bfdbe6cf 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 00:26:26 +02:00
Aliaksandr Valialkin
b829fe5e39 app/vmselect/promql: properly handle aggr(aggr_over_time(...)) 2020-01-10 21:57:18 +02:00
Aliaksandr Valialkin
164278151f 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 21:18:06 +02:00
Aliaksandr Valialkin
c4632faa9d 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 19:39:28 +02:00
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
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
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
205233d9a7 app/vmselect/promql: remove zero timeseries from prometheus_buckets output 2019-11-25 19:10:23 +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
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
7a4635f853 all: remove the remaining mentions of cluster version 2019-11-21 23:18:22 +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
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
Aliaksandr Valialkin
2f58f37f07 app/vmselect/promql: add lag(q[d]) function, which returns the lag between the current timestamp and the timstamp for the last data point in q 2019-11-01 12:21:33 +02:00
Aliaksandr Valialkin
97ce4e03a5 all: add support for GOARCH=386 and fix all the issues related to 32-bit architectures such as GOARCH=arm 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212
 2019-10-17 18:23:23 +03:00
Aliaksandr Valialkin
c66a691593 app/vmselect/prometheus: add -search.maxLookback command-line flag for overriding dynamic calculations for max lookback interval 
This flag is similar to `-search.lookback-delta` if set. The max lookback interval is determined dynamically
from interval between datapoints for each input time series if the flag isn't set.

The interval can be overriden on per-query basis by passing `max_lookback=<duration>` query arg to `/api/v1/query` and `/api/v1/query_range`.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/209
 2019-10-15 21:31:48 +03:00
Aliaksandr Valialkin
956fdd89d3 app/vmselect/promql: take into account the previous point when calculating max_over_time and min_over_time 
This lines up with `first_over_time` function used in `rollup_candlestick`, so `rollup=low` always returns
the minimum value.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/204
 2019-10-08 12:30:05 +03:00
Aliaksandr Valialkin
67d44b0845 app/vmselect/promql: do not generate timestamps for NaN values in timestamp function according to Prometheus logic 2019-09-27 18:54:43 +03:00
Aliaksandr Valialkin
26dc21cf64 app/vmselect/promql: add increases_over_time and decreases_over_time functions 
`increases_over_time(q[d])` returns the number of `q` increases during the given duration `d`.
`decreases_over_time(q[d])` returns the number of `q` decreases during the given duration `d`.
 2019-09-25 20:38:44 +03:00
Aliaksandr Valialkin
d4218d27e6 app/vmselect/promql: properly handle subqueries like aggr_func(rollup_func(metric[window:step])) 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/184
 2019-09-13 21:41:04 +03:00
Aliaksandr Valialkin
4d636c244d app/vmselect/promql: binary operation fixes according to Prometheus behaviour 
The follosing issues were fixed:
- VictoriaMetrics could leave superflouos labels when using `on` or `ignoring` modifiers
- VictoriaMetrics could return `duplicate timeseries` error when using `group_left` or `group_right` with non-empty label list
 2019-09-13 17:42:52 +03:00
Aliaksandr Valialkin
6954e126fc app/vmselect/promql: ignore grouping by destination label in count_values, since such a grouping is performed automatically 2019-09-04 19:58:01 +03:00
Aliaksandr Valialkin
305e7bc981 app/vmselect/promql: do not return artificial points beyond the last point in time series 2019-09-04 16:35:34 +03:00
Aliaksandr Valialkin
db4560ca31 app/vmselect/promql: reset timeseries name on group_left and group_right as Prometheus does 2019-09-03 20:42:54 +03:00
Aliaksandr Valialkin
9196c085a7 all: port to FreeBSD on GOARCH=amd64 2019-08-28 01:19:23 +03:00
Aliaksandr Valialkin
1272e407b2 app/vmselect/promql: attempt to repair invalid bucket counts passed to histogram_quantile 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/136
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/154
 2019-08-22 14:39:46 +03:00
Aliaksandr Valialkin
f4a38f7fb1 app/vmselect/promql: fix panic on -search.disableCache 
Reset the cache if it is disabled instead of stopping, since it is stopped on graceful shutdown.
 2019-08-21 17:11:52 +03:00
Aliaksandr Valialkin
ab740afd0d app/vmselect/promql: explain why empty timeseries arent removed in transformLabelValue 2019-08-21 11:29:24 +03:00
Aliaksandr Valialkin
a0d480fbf3 app/vmselect/promql: pre-allocate memory for map for checking for duplicate timeseries 
This should reduce memory allocations for big number of timeseries
 2019-08-20 23:01:39 +03:00
Aliaksandr Valialkin
d3fd113a80 app/vmselect/promql: add label_value(q, label_name) func, which returns numeric value labels with name label_name in q 2019-08-20 00:28:34 +03:00
Aliaksandr Valialkin
dd86e6130c app/vmselect/promql: independently track offset hints for tStart and tEnd 
This should improve performance if timeseries starts or ends on the selected time range
 2019-08-19 13:40:14 +03:00
Aliaksandr Valialkin
6a27657d73 app/vmselect/promql: optimize search for timestamp boundaries in rollupConfig.Do 
This should improve the performance of queries over big number of time series
with big number of output points.
 2019-08-19 13:03:29 +03:00
Aliaksandr Valialkin
e74fb23189 app/vmselect/promql: add scrape_interval(q[d]) function, which would return scrape interval for q over d 2019-08-18 21:08:26 +03:00
Aliaksandr Valialkin
582fdc059a app/vmselect/promql: hande comparisons with NaN similar to Prometheus 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/150
 2019-08-18 00:25:50 +03:00
Aliaksandr Valialkin
1c108fc494 app/vmselect/promql: add lifetime(q[d]) function, which returns the lifetime of q over d in seconds. 
This function is useful for determining time series lifetime.
`d` must exceed the expected lifetime of the time series, otherwise
the function would return values close to `d`.
 2019-08-16 11:59:32 +03:00
Aliaksandr Valialkin
d6b5ed6d39 app/vmselect/promql: fix corner-case calculation for ideriv 2019-08-16 11:59:28 +03:00
Aliaksandr Valialkin
639b14e8ab app/vmselect/promql: properly handle corner cases for rollup functions 2019-08-15 23:29:59 +03:00
Aliaksandr Valialkin
9ecb994671 app/vmselect/promql: store compressed results in the cache 
This should increase rollup results cache capacity.
 2019-08-14 02:29:45 +03:00
Aliaksandr Valialkin
09fc6e22e5 all: use workingsetcache instead of fastcache 
This should reduce the amount of RAM required for processing time series
with non-zero churn rate.

The previous cache behavior can be restored with `-cache.oldBehavior` command-line flag.
 2019-08-13 21:39:34 +03:00
Aliaksandr Valialkin
47e4b50112 app/vmselect: optimize /api/v1/series by skipping storage data 
Fetch and process only time series metainfo.
 2019-08-04 23:01:28 +03:00
Aliaksandr Valialkin
1c69f4eadc app/vmselect/promql: tune automatic window adjustement 
Increase the windows adjustement for small scrape intervals,
since they usually have higher jitter.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/139
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/134
 2019-08-04 19:34:05 +03:00
Aliaksandr Valialkin
8d93b15b86 app/vmselect/promql: further increase the allowed jitter for scrape interval 
Real-world production data shows higher jitter than 1/8 of scrape interval.
This may results in gaps on the graph. So increase the allowed jitter to 1/4
of scrape interval in order to reduce the probability of gaps on the graphs
over time series with high jitter for scrape_interval.
 2019-08-02 20:10:23 +03:00
Aliaksandr Valialkin
f090b2e917 app/vmselect/promql: tolerate higher jitter in scrape interval 
Allow jitter for up to 1/8 instead of 1/16 for the scrape interval.
This should imrpove graphs when `step` is smaller than the `scrape_interval`.
 2019-08-01 23:26:00 +03:00
Aliaksandr Valialkin
3a38b23fa3 app/vmselect/promql: add vm_slow_queries_total metric for counting slow queries 
The query is slow if its execution time exceeds `-search.logSlowQueryDuration`
 2019-07-31 03:36:37 +03:00
Aliaksandr Valialkin
8bd6f1f6df app/vmselect/promql: return NaN from histogram_quantile if at least a single bucket is broken 2019-07-31 01:18:07 +03:00
Aliaksandr Valialkin
4aaa5c2efc app/vmselect/promql: allow adjusting window for default rollup function 
Default rollup function is `last_over_time`. It must support adjusting
the provided window in order to prevent from gaps on the graph
for window values smaller than scrape interval.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/134
 2019-07-31 00:45:54 +03:00
Aliaksandr Valialkin
10f5a26bec app/vmselect/promql: return NaN values if invalid bucket counts are passed to histogram_quantile 
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/136
 2019-07-30 22:05:10 +03:00
Aliaksandr Valialkin
17096b5750 app/vmselect/promql: return NaN from count() over zero time series 
This aligns `count` behavior with Prometheus.
 2019-07-25 22:02:30 +03:00
Aliaksandr Valialkin
66efa5745f app/vmselect/promql: properly calculate incremental aggregations grouped by __name__ 
Previously the following query may fail on multiple distinct metric names match:

    sum(count_over_time{__name__!=''}) by (__name__)
 2019-07-25 21:53:20 +03:00
Aliaksandr Valialkin
6a943a6a58 app/vmselect/promql: remove empty time series after applying filters like q > 0 
This should reduce CPU and RAM usage for queries over high number of time series.
 2019-07-12 19:59:27 +03:00
Aliaksandr Valialkin
ab88890523 app/vmselect/promql: parallelize incremental aggregation to multiple CPU cores 
This may reduce response times for aggregation over big number of time series
with small step between output data points.
 2019-07-12 15:52:22 +03:00
Aliaksandr Valialkin
a336bb4e22 app/vmselect/promql: reduce RAM usage for aggregates over big number of time series 
Calculate incremental aggregates for `aggr(metric_selector)` function instead of
keeping all the time series matching the given `metric_selector` in memory.
 2019-07-10 13:04:39 +03:00
Aliaksandr Valialkin
1fe6d784d8 all: consistency renaming: bytesSize -> sizeBytes 2019-07-10 00:47:36 +03:00