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3 changed files with 46 additions and 2 deletions
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@ -1491,6 +1491,14 @@ over logs for the last 5 minutes:
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_time:5m | stats uniq_values(ip) unique_ips
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_time:5m | stats uniq_values(ip) unique_ips
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```
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```
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It is possible to specify the limit on the number of returned unique values by adding `limit N` just after `uniq_values()` and before the resulting column name.
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For example, the following query returns up to `100` unique values for the `ip` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
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over the logs for the last 5 minutes. Note that it may return arbitrary subset of unique `ip` values:
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```logsql
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_time:5m | stats uniq_values(ip) limit 100 as unique_ips_100
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```
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See also:
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See also:
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- [`count_uniq`](#count_uniq-stats)
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- [`count_uniq`](#count_uniq-stats)
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@ -912,9 +912,10 @@ func TestParseQuerySuccess(t *testing.T) {
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// stats pipe uniq_values
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// stats pipe uniq_values
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f(`* | stats uniq_values(foo) bar`, `* | stats uniq_values(foo) as bar`)
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f(`* | stats uniq_values(foo) bar`, `* | stats uniq_values(foo) as bar`)
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f(`* | stats uniq_values(foo) limit 10 bar`, `* | stats uniq_values(foo) limit 10 as bar`)
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f(`* | stats by(x, y) uniq_values(foo, bar) as baz`, `* | stats by (x, y) uniq_values(foo, bar) as baz`)
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f(`* | stats by(x, y) uniq_values(foo, bar) as baz`, `* | stats by (x, y) uniq_values(foo, bar) as baz`)
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f(`* | stats by(x) uniq_values(*) y`, `* | stats by (x) uniq_values(*) as y`)
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f(`* | stats by(x) uniq_values(*) y`, `* | stats by (x) uniq_values(*) as y`)
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f(`* | stats by(x) uniq_values() y`, `* | stats by (x) uniq_values(*) as y`)
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f(`* | stats by(x) uniq_values() limit 1_000 AS y`, `* | stats by (x) uniq_values(*) limit 1000 as y`)
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f(`* | stats by(x) uniq_values(a,*,b) y`, `* | stats by (x) uniq_values(*) as y`)
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f(`* | stats by(x) uniq_values(a,*,b) y`, `* | stats by (x) uniq_values(*) as y`)
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// stats pipe multiple funcs
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// stats pipe multiple funcs
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@ -1230,6 +1231,8 @@ func TestParseQueryFailure(t *testing.T) {
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// invalid stats uniq_values
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// invalid stats uniq_values
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f(`foo | stats uniq_values`)
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f(`foo | stats uniq_values`)
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f(`foo | stats uniq_values()`)
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f(`foo | stats uniq_values()`)
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f(`foo | stats uniq_values() limit`)
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f(`foo | stats uniq_values(a) limit foo`)
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// invalid stats grouping fields
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// invalid stats grouping fields
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f(`foo | stats by(foo:bar) count() baz`)
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f(`foo | stats by(foo:bar) count() baz`)
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@ -1,6 +1,7 @@
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package logstorage
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package logstorage
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import (
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import (
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"fmt"
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"slices"
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"slices"
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"strconv"
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"strconv"
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"strings"
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"strings"
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@ -12,10 +13,15 @@ import (
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type statsUniqValues struct {
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type statsUniqValues struct {
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fields []string
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fields []string
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containsStar bool
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containsStar bool
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limit uint64
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}
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}
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func (su *statsUniqValues) String() string {
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func (su *statsUniqValues) String() string {
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return "uniq_values(" + fieldNamesString(su.fields) + ")"
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s := "uniq_values(" + fieldNamesString(su.fields) + ")"
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if su.limit > 0 {
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s += fmt.Sprintf(" limit %d", su.limit)
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}
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return s
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}
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}
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func (su *statsUniqValues) neededFields() []string {
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func (su *statsUniqValues) neededFields() []string {
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@ -38,6 +44,11 @@ type statsUniqValuesProcessor struct {
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}
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}
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func (sup *statsUniqValuesProcessor) updateStatsForAllRows(br *blockResult) int {
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func (sup *statsUniqValuesProcessor) updateStatsForAllRows(br *blockResult) int {
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if sup.limitReached() {
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// Limit on the number of unique values has been reached
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return 0
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}
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stateSizeIncrease := 0
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stateSizeIncrease := 0
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if sup.su.containsStar {
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if sup.su.containsStar {
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for _, c := range br.getColumns() {
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for _, c := range br.getColumns() {
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@ -106,6 +117,11 @@ func (sup *statsUniqValuesProcessor) updateStatsForAllRowsColumn(c *blockResultC
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}
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}
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func (sup *statsUniqValuesProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
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func (sup *statsUniqValuesProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
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if sup.limitReached() {
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// Limit on the number of unique values has been reached
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return 0
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}
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stateSizeIncrease := 0
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stateSizeIncrease := 0
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if sup.su.containsStar {
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if sup.su.containsStar {
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for _, c := range br.getColumns() {
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for _, c := range br.getColumns() {
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@ -168,6 +184,10 @@ func (sup *statsUniqValuesProcessor) updateStatsForRowColumn(c *blockResultColum
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}
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}
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func (sup *statsUniqValuesProcessor) mergeState(sfp statsProcessor) {
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func (sup *statsUniqValuesProcessor) mergeState(sfp statsProcessor) {
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if sup.limitReached() {
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return
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}
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src := sfp.(*statsUniqValuesProcessor)
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src := sfp.(*statsUniqValuesProcessor)
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m := sup.m
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m := sup.m
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for k := range src.m {
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for k := range src.m {
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@ -211,6 +231,10 @@ func (sup *statsUniqValuesProcessor) finalizeStats() string {
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return bytesutil.ToUnsafeString(b)
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return bytesutil.ToUnsafeString(b)
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}
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}
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func (sup *statsUniqValuesProcessor) limitReached() bool {
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return sup.su.limit > 0 && uint64(len(sup.m)) >= sup.su.limit
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}
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func compareValues(a, b string) int {
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func compareValues(a, b string) int {
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fA, okA := tryParseFloat64(a)
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fA, okA := tryParseFloat64(a)
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fB, okB := tryParseFloat64(b)
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fB, okB := tryParseFloat64(b)
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@ -241,5 +265,14 @@ func parseStatsUniqValues(lex *lexer) (*statsUniqValues, error) {
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fields: fields,
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fields: fields,
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containsStar: slices.Contains(fields, "*"),
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containsStar: slices.Contains(fields, "*"),
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}
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}
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if lex.isKeyword("limit") {
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lex.nextToken()
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n, ok := tryParseUint64(lex.token)
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if !ok {
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return nil, fmt.Errorf("cannot parse 'limit %s' for 'uniq_values': %w", lex.token, err)
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}
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lex.nextToken()
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su.limit = n
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}
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return su, nil
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return su, nil
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}
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}
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