Commit Graph

81 Commits

Author SHA1 Message Date
Aliaksandr Valialkin
4e4f57b121 lib/metricsql: move it to a separate repository - github.com/VictoriaMetrics/metrics 2020-04-28 15:28:22 +03:00
Aliaksandr Valialkin
17d96e4503 app/vmselect: add -search.estimatedSeriesCountAfterAggregation command-line flag for tuning the probability of OOMs vs false-positive not enough memory errors 2020-04-28 12:52:37 +03:00
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
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
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
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
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
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
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
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
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
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
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
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
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
74c0fb04f3 app/vmselect/promql: consistency renaming: candlestick -> rollup_candlestick 2019-06-29 03:13:02 +03:00
Aliaksandr Valialkin
796b010139 app/vmselect: add candlestick(m[d]) func for returning open, close, low and high rollups on the given time range d
This function is frequently used in financial apps. See https://en.wikipedia.org/wiki/Candlestick_chart
2019-06-27 18:46:13 +03:00
Aliaksandr Valialkin
feacfffe89 app/vmselect/promql: increase default value for -search.maxPointsPerTimeSeries from 10k to 30k
This may be required for subqueries with small steps. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/77
2019-06-24 22:53:18 +03:00
Aliaksandr Valialkin
61926bae01 app/vmselect/promql: adjust the provided window only for range functions with dt in denominator
This should fix range function calculations such as `changes(m[d])` where `d` is smaller
than the scrape interval.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/72
2019-06-23 19:27:31 +03:00
Aliaksandr Valialkin
9e1119dab8 app/vmselect/promql: ajdust data model to the model used in Prometheus
Do not take into account data points on the range `[timestamp .. timestamp+step)`
when calculating value on the given `timestamp`.
Use only data points from the past when performing these calculations like Prometheus does.

This should reduce discrepancies between results returned by VictoriaMetrics
and results returned by Prometheus.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/72
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/71
2019-06-21 21:54:48 +03:00
Aliaksandr Valialkin
beb479b8f1 app/vmselect/promql: use dynamic limit on memory for concurrent queries 2019-06-12 23:18:44 +03:00
Aliaksandr Valialkin
54fb8b21f9 all: fix misspellings 2019-05-25 21:51:11 +03:00
Aliaksandr Valialkin
1836c415e6 all: open-sourcing single-node version 2019-05-23 00:18:06 +03:00