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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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wip
This commit is contained in:
parent
7fd9d31e90
commit
ef504e8d9a
4 changed files with 233 additions and 8 deletions
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@ -858,6 +858,10 @@ func TestParseQuerySuccess(t *testing.T) {
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f(`* | stats uniq(foo) bar`, `* | stats uniq(foo) as bar`)
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f(`* | stats by(x, y) uniq(foo,bar) as baz`, `* | stats by (x, y) uniq(foo, bar) as baz`)
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// stats pipe uniq_array
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f(`* | stats uniq_array(foo) bar`, `* | stats uniq_array(foo) as bar`)
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f(`* | stats by(x, y) uniq_array(foo) as baz`, `* | stats by (x, y) uniq_array(foo) as baz`)
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// stats pipe multiple funcs
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f(`* | stats count() "foo.bar:baz", uniq(a) bar`, `* | stats count() as "foo.bar:baz", uniq(a) as bar`)
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f(`* | stats by (x, y) count(*) foo, uniq(a,b) bar`, `* | stats by (x, y) count(*) as foo, uniq(a, b) as bar`)
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@ -1136,6 +1140,13 @@ func TestParseQueryFailure(t *testing.T) {
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f(`foo | stats uniq`)
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f(`foo | stats uniq()`)
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// invalid stats uniq_array
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f(`foo | stats uniq_array`)
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f(`foo | stats uniq_array()`)
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f(`foo | stats uniq_array() as foo`)
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f(`foo | stats uniq_array(a,b) as foo`)
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f(`foo | stats uniq_array(*) as foo`)
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// invalid 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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@ -439,17 +439,17 @@ func parseStatsFunc(lex *lexer) (statsFunc, string, error) {
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var sf statsFunc
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switch {
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case lex.isKeyword("count"):
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sfc, err := parseStatsCount(lex)
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scs, err := parseStatsCount(lex)
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if err != nil {
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return nil, "", fmt.Errorf("cannot parse 'count' func: %w", err)
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}
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sf = sfc
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sf = scs
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case lex.isKeyword("uniq"):
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sfu, err := parseStatsUniq(lex)
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sus, err := parseStatsUniq(lex)
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if err != nil {
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return nil, "", fmt.Errorf("cannot parse 'uniq' func: %w", err)
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}
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sf = sfu
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sf = sus
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case lex.isKeyword("sum"):
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sfs, err := parseStatsSum(lex)
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if err != nil {
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@ -474,6 +474,12 @@ func parseStatsFunc(lex *lexer) (statsFunc, string, error) {
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return nil, "", fmt.Errorf("cannot parse 'avg' func: %w", err)
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}
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sf = sas
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case lex.isKeyword("uniq_array"):
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sus, err := parseStatsUniqArray(lex)
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if err != nil {
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return nil, "", fmt.Errorf("cannot parse 'uniq_array' func: %w", err)
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}
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sf = sus
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default:
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return nil, "", fmt.Errorf("unknown stats func %q", lex.token)
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}
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@ -90,7 +90,7 @@ func (sup *statsUniqProcessor) updateStatsForAllRows(br *blockResult) int {
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// Fast path for a single column.
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// The unique key is formed as "<is_time> <value_type>? <encodedValue>",
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// where <value_type> is skipped if <is_time> == 1.
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// This guarantees that keys do not clash for different column types acorss blocks.
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// This guarantees that keys do not clash for different column types across blocks.
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c := br.getColumnByName(fields[0])
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if c.isTime {
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// Count unique br.timestamps
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@ -251,7 +251,7 @@ func (sup *statsUniqProcessor) updateStatsForRow(br *blockResult, rowIdx int) in
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// Fast path for a single column.
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// The unique key is formed as "<is_time> <value_type>? <encodedValue>",
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// where <value_type> is skipped if <is_time> == 1.
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// This guarantees that keys do not clash for different column types acorss blocks.
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// This guarantees that keys do not clash for different column types across blocks.
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c := br.getColumnByName(fields[0])
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if c.isTime {
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// Count unique br.timestamps
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@ -300,7 +300,7 @@ func (sup *statsUniqProcessor) updateStatsForRow(br *blockResult, rowIdx int) in
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return stateSizeIncrease
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}
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// Count unique values across encodedValues
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// Count unique values for the given rowIdx
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encodedValues := c.getEncodedValues(br)
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v := encodedValues[rowIdx]
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if c.valueType == valueTypeString && v == "" {
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@ -346,7 +346,9 @@ func (sup *statsUniqProcessor) mergeState(sfp statsProcessor) {
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src := sfp.(*statsUniqProcessor)
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m := sup.m
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for k := range src.m {
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m[k] = struct{}{}
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if _, ok := m[k]; !ok {
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m[k] = struct{}{}
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}
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}
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}
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206
lib/logstorage/stats_uniq_array.go
Normal file
206
lib/logstorage/stats_uniq_array.go
Normal file
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@ -0,0 +1,206 @@
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package logstorage
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import (
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"fmt"
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"sort"
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"strconv"
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"strings"
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"unsafe"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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)
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type statsUniqArray struct {
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field string
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}
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func (su *statsUniqArray) String() string {
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return "uniq_array(" + quoteTokenIfNeeded(su.field) + ")"
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}
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func (su *statsUniqArray) neededFields() []string {
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return []string{su.field}
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}
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func (su *statsUniqArray) newStatsProcessor() (statsProcessor, int) {
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sup := &statsUniqArrayProcessor{
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su: su,
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m: make(map[string]struct{}),
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}
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return sup, int(unsafe.Sizeof(*sup))
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}
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type statsUniqArrayProcessor struct {
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su *statsUniqArray
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m map[string]struct{}
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}
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func (sup *statsUniqArrayProcessor) updateStatsForAllRows(br *blockResult) int {
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field := sup.su.field
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m := sup.m
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stateSizeIncrease := 0
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c := br.getColumnByName(field)
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if c.isConst {
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// collect unique const values
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v := c.encodedValues[0]
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if v == "" {
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// skip empty values
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return stateSizeIncrease
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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return stateSizeIncrease
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}
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if c.valueType == valueTypeDict {
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// collect unique non-zero c.dictValues
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for _, v := range c.dictValues {
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if v == "" {
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// skip empty values
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continue
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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}
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return stateSizeIncrease
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}
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// slow path - collect unique values across all rows
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values := c.getValues(br)
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for i, v := range values {
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if v == "" {
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// skip empty values
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continue
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}
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if i > 0 && values[i-1] == v {
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// This value has been already counted.
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continue
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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}
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return stateSizeIncrease
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}
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func (sup *statsUniqArrayProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
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field := sup.su.field
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m := sup.m
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stateSizeIncrease := 0
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c := br.getColumnByName(field)
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if c.isConst {
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// collect unique const values
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v := c.encodedValues[0]
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if v == "" {
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// skip empty values
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return stateSizeIncrease
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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return stateSizeIncrease
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}
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if c.valueType == valueTypeDict {
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// collect unique non-zero c.dictValues
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dictIdx := c.encodedValues[rowIdx][0]
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v := c.dictValues[dictIdx]
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if v == "" {
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// skip empty values
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return stateSizeIncrease
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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return stateSizeIncrease
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}
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// collect unique values for the given rowIdx.
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v := c.getValueAtRow(br, rowIdx)
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if v == "" {
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// skip empty values
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return stateSizeIncrease
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}
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if _, ok := m[v]; !ok {
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vCopy := strings.Clone(v)
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m[vCopy] = struct{}{}
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stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
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}
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return stateSizeIncrease
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}
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func (sup *statsUniqArrayProcessor) mergeState(sfp statsProcessor) {
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src := sfp.(*statsUniqArrayProcessor)
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m := sup.m
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for k := range src.m {
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if _, ok := m[k]; !ok {
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m[k] = struct{}{}
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}
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}
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}
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func (sup *statsUniqArrayProcessor) finalizeStats() string {
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if len(sup.m) == 0 {
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return "[]"
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}
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// Sort unique items
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items := make([]string, 0, len(sup.m))
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for k := range sup.m {
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items = append(items, k)
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}
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sort.Strings(items)
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// Marshal items into JSON array.
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// Pre-allocate buffer for serialized items.
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// Assume that there is no need in quoting items. Otherwise additional reallocations
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// for the allocated buffer are possible.
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bufSize := len(items) + 1
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for _, item := range items {
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bufSize += len(item)
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}
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b := make([]byte, 0, bufSize)
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b = append(b, '[')
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b = strconv.AppendQuote(b, items[0])
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for _, item := range items[1:] {
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b = append(b, ',')
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b = strconv.AppendQuote(b, item)
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}
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b = append(b, ']')
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return bytesutil.ToUnsafeString(b)
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}
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func parseStatsUniqArray(lex *lexer) (*statsUniqArray, error) {
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fields, err := parseFieldNamesForFunc(lex, "uniq_array")
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if err != nil {
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return nil, err
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}
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if len(fields) != 1 {
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return nil, fmt.Errorf("'uniq_array' needs exactly one field; got %d fields: [%s]", len(fields), fields)
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}
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field := fields[0]
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if field == "*" {
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return nil, fmt.Errorf("'uniq_array' cannot contain '*'")
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}
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su := &statsUniqArray{
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field: field,
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}
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return su, nil
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}
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