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spelling fix: adjacent (#1115)

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John Belmonte 2021-03-09 16:18:19 +09:00 committed by GitHub
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5 changed files with 7 additions and 7 deletions
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2
docs/CHANGELOG.md
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@ -385,7 +385,7 @@ in front of VictoriaMetrics. [Contact us](mailto:sales@victoriametrics.com) if y
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/807
* BUGFIX: properly handle `inf` values during [background merge of LSM parts](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282).
Previously `Inf` values could result in `NaN` values for adjancent samples in time series. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/805 .
Previously `Inf` values could result in `NaN` values for adjacent samples in time series. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/805 .
* BUGFIX: fill gaps on graphs for `range_*` and `running_*` functions. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/806 .
* BUGFIX: make a copy of label with new name during relabeling with `action: labelmap` in the same way as Prometheus does.
Previously the original label name has been replaced. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/812 .

4
docs/MetricsQL.md
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@ -143,8 +143,8 @@ This functionality can be tried at [an editable Grafana dashboard](http://play-g
- `first_over_time(m[d])` - returns the first value for `m` on the time range `d`.
- `outliersk(N, q) by (group)` - returns up to `N` outlier time series for `q` in every `group`. Outlier time series have the highest deviation from the `median(q)`.
This aggregate function is useful to detect anomalies across groups of similar time series.
- `ascent_over_time(m[d])` - returns the sum of positive deltas between adjancent data points in `m` over `d`. Useful for tracking height gains in GPS track.
- `descent_over_time(m[d])` - returns the absolute sum of negative deltas between adjancent data points in `m` over `d`. Useful for tracking height loss in GPS track.
- `ascent_over_time(m[d])` - returns the sum of positive deltas between adjacent data points in `m` over `d`. Useful for tracking height gains in GPS track.
- `descent_over_time(m[d])` - returns the absolute sum of negative deltas between adjacent data points in `m` over `d`. Useful for tracking height loss in GPS track.
- `mode_over_time(m[d])` - returns [mode](https://en.wikipedia.org/wiki/Mode_(statistics)) for `m` values over `d`. It is expected that `m` values are discrete.
- `mode(q) by (x)` - returns [mode](https://en.wikipedia.org/wiki/Mode_(statistics)) for each point in `q` grouped by `x`. It is expected that `q` points are discrete.
- `rate_over_sum(m[d])` - returns rate over the sum of `m` values over `d` duration.

2
lib/storage/block_stream_writer.go
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@ -42,7 +42,7 @@ type blockStreamWriter struct {
// prevTimestamps* is used as an optimization for reducing disk space usage
// when serially written blocks have identical timestamps.
// This is usually the case when adjancent blocks contain metrics scraped from the same target,
// This is usually the case when adjacent blocks contain metrics scraped from the same target,
// since such metrics have identical timestamps.
prevTimestampsData []byte
prevTimestampsBlockOffset uint64

2
lib/storage/index_db.go
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@ -3497,7 +3497,7 @@ func mergeTagToMetricIDsRowsInternal(data []byte, items []mergeset.Item, nsPrefi
if len(item) == 0 || item[0] != nsPrefix || i == 0 || i == len(items)-1 {
// Write rows not starting with nsPrefix as-is.
// Additionally write the first and the last row as-is in order to preserve
// sort order for adjancent blocks.
// sort order for adjacent blocks.
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
dstData = append(dstData, item...)
dstItems = append(dstItems, mergeset.Item{

4
lib/storage/storage.go
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@ -1412,7 +1412,7 @@ func (s *Storage) add(rows []rawRow, mrs []MetricRow, precisionBits uint8) ([]ra
rows = rows[:rowsLen+len(mrs)]
j := 0
var (
// These vars are used for speeding up bulk imports of multiple adjancent rows for the same metricName.
// These vars are used for speeding up bulk imports of multiple adjacent rows for the same metricName.
prevTSID TSID
prevMetricNameRaw []byte
)
@ -1626,7 +1626,7 @@ func (s *Storage) updatePerDateData(rows []rawRow) error {
var hour uint64
var prevTimestamp int64
var (
// These vars are used for speeding up bulk imports when multiple adjancent rows
// These vars are used for speeding up bulk imports when multiple adjacent rows
// contain the same (metricID, date) pairs.
prevDate uint64
prevMetricID uint64