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lib/logstorage: work-in-progress

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(cherry picked from commit 0aa19a2837)
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Aliaksandr Valialkin 2024-05-15 04:55:44 +02:00 committed by hagen1778
parent 5dbc4ad5ef
commit 28626db066
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GPG Key ID: 3BF75F3741CA9640
19 changed files with 1426 additions and 79 deletions
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53
app/vlselect/logsql/logsql.go
View File

@ -2,13 +2,17 @@ package logsql
import (
"context"
"fmt"
"math"
"net/http"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vlstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httputils"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promutils"
)
// ProcessQueryRequest handles /select/logsql/query request.
@ -19,23 +23,46 @@ func ProcessQueryRequest(ctx context.Context, w http.ResponseWriter, r *http.Req
httpserver.Errorf(w, r, "%s", err)
return
}
limit, err := httputils.GetInt(r, "limit")
if err != nil {
httpserver.Errorf(w, r, "%s", err)
return
}
// Parse query
qStr := r.FormValue("query")
q, err := logstorage.ParseQuery(qStr)
if err != nil {
httpserver.Errorf(w, r, "cannot parse query [%s]: %s", qStr, err)
return
}
w.Header().Set("Content-Type", "application/stream+json; charset=utf-8")
// Parse optional start and end args
start, okStart, err := getTimeNsec(r, "start")
if err != nil {
httpserver.Errorf(w, r, "%s", err)
return
}
end, okEnd, err := getTimeNsec(r, "end")
if err != nil {
httpserver.Errorf(w, r, "%s", err)
return
}
if okStart || okEnd {
if !okStart {
start = math.MinInt64
}
if !okEnd {
end = math.MaxInt64
}
q.AddTimeFilter(start, end)
}
// Parse limit query arg
limit, err := httputils.GetInt(r, "limit")
if err != nil {
httpserver.Errorf(w, r, "%s", err)
return
}
if limit > 0 {
q.AddPipeLimit(uint64(limit))
}
q.Optimize()
tenantIDs := []logstorage.TenantID{tenantID}
@ -54,6 +81,7 @@ func ProcessQueryRequest(ctx context.Context, w http.ResponseWriter, r *http.Req
blockResultPool.Put(bb)
}
w.Header().Set("Content-Type", "application/stream+json; charset=utf-8")
err = vlstorage.RunQuery(ctx, tenantIDs, q, writeBlock)
bw.FlushIgnoreErrors()
@ -66,3 +94,16 @@ func ProcessQueryRequest(ctx context.Context, w http.ResponseWriter, r *http.Req
}
var blockResultPool bytesutil.ByteBufferPool
func getTimeNsec(r *http.Request, argName string) (int64, bool, error) {
s := r.FormValue(argName)
if s == "" {
return 0, false, nil
}
currentTimestamp := float64(time.Now().UnixNano()) / 1e9
secs, err := promutils.ParseTimeAt(s, currentTimestamp)
if err != nil {
return 0, false, fmt.Errorf("cannot parse %s=%s: %w", argName, s, err)
}
return int64(secs * 1e9), true, nil
}

4
docs/VictoriaLogs/CHANGELOG.md
View File

@ -19,6 +19,10 @@ according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/QuickSta
## tip
* FEATURE: add support for optional `start` and `end` query args to [HTTP querying API](https://docs.victoriametrics.com/victorialogs/querying/#http-api), which can be used for limiting the time range for [LogsQL query](https://docs.victoriametrics.com/victorialogs/logsql/).
* FEATURE: add ability to return the first `N` results from [`sort` pipe](#https://docs.victoriametrics.com/victorialogs/logsql/#sort-pipe). This is useful when `N` biggest or `N` smallest values must be returned from large amounts of logs.
* FEATURE: add [`quantile`](https://docs.victoriametrics.com/victorialogs/logsql/#quantile-stats) and [`median`](https://docs.victoriametrics.com/victorialogs/logsql/#median-stats) [stats functions](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe).
## [v0.6.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v0.6.1-victorialogs)
Released at 2024-05-14

87
docs/VictoriaLogs/LogsQL.md
View File

@ -1128,6 +1128,7 @@ By default rows are selected in arbitrary order because of performance reasons,
See also:
- [`sort` pipe](#sort-pipe)
- [`offset` pipe](#offset-pipe)
### offset pipe
@ -1147,6 +1148,7 @@ Rows can be sorted with [`sort` pipe](#sort-pipe).
See also:
- [`limit` pipe](#limit-pipe)
- [`sort` pipe](#sort-pipe)
### rename pipe
@ -1198,11 +1200,31 @@ The reverse order can be applied globally via `desc` keyword after `by(...)` cla
_time:5m | sort by (foo, bar) desc
```
Sorting of big number of logs can consume a lot of CPU time and memory. Sometimes it is enough to return the first `N` entries with the biggest
or the smallest values. This can be done by adding `limit N` to the end of `sort ...` pipe.
Such a query consumes lower amounts of memory when sorting big number of logs, since it keeps in memory only `N` log entries.
For example, the following query returns top 10 log entries with the biggest values
for the `request_duration` [field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) during the last hour:
```logsql
_time:1h | sort by (request_duration desc) limit 10
```
If the first `N` sorted results must be skipped, then `offset N` can be added to `sort` pipe. For example,
the following query skips the first 10 logs with the biggest `request_duration` [field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model),
and then returns the next 20 sorted logs for the last 5 minutes:
```logsql
_time:1h | sort by (request_duration desc) offset 10 limit 20
```
Note that sorting of big number of logs can be slow and can consume a lot of additional memory.
It is recommended limiting the number of logs before sorting with the following approaches:
- Adding `limit N` to the end of `sort ...` pipe.
- Reducing the selected time range with [time filter](#time-filter).
- Using more specific [filters](#filters), so they select less logs.
- Limiting the number of selected [fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) via [`fields` pipe](#fields-pipe).
See also:
@ -1371,8 +1393,11 @@ LogsQL supports the following functions for [`stats` pipe](#stats-pipe):
- [`count_empty`](#count_empty-stats) calculates the number logs with empty [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`count_uniq`](#count_uniq-stats) calculates the number of unique non-empty values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`max`](#max-stats) calcualtes the maximum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`median`](#median-stats) calcualtes the [median](https://en.wikipedia.org/wiki/Median) value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`min`](#min-stats) calculates the minumum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`quantile`](#quantile-stats) calculates the given quantile for the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`sum`](#sum-stats) calculates the sum for the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`sum_len`](#sum_len-stats) calculates the sum of lengths for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`uniq_values`](#uniq_values-stats) returns unique non-empty values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
- [`values`](#values-stats) returns all the values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
@ -1391,6 +1416,8 @@ _time:5m | stats avg(duration) avg_duration
See also:
- [`median`](#median-stats)
- [`quantile`](#quantile-stats)
- [`min`](#min-stats)
- [`max`](#max-stats)
- [`sum`](#sum-stats)
@ -1492,10 +1519,28 @@ _time:5m | stats max(duration) max_duration
See also:
- [`min`](#min-stats)
- [`quantile`](#quantile-stats)
- [`avg`](#avg-stats)
- [`sum`](#sum-stats)
- [`count`](#count-stats)
### median stats
`median(field1, ..., fieldN)` [stats pipe](#stats-pipe) calculates the [median](https://en.wikipedia.org/wiki/Median) value across
the give numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
For example, the following query return median for the `duration` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
over logs for the last 5 minutes:
```logsql
_time:5m | stats median(duration) median_duration
```
See also:
- [`quantile`](#quantile-stats)
- [`avg`](#avg-stats)
### min stats
`min(field1, ..., fieldN)` [stats pipe](#stats-pipe) calculates the minimum value across
@ -1512,10 +1557,34 @@ _time:5m | stats min(duration) min_duration
See also:
- [`max`](#max-stats)
- [`quantile`](#quantile-stats)
- [`avg`](#avg-stats)
- [`sum`](#sum-stats)
- [`count`](#count-stats)
### quantile stats
`quantile(phi, field1, ..., fieldN)` [stats pipe](#stats-pipe) calculates `phi` [percentile](https://en.wikipedia.org/wiki/Percentile) over numeric values
for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model). The `phi` must be in the range `0 ... 1`, where `0` means `0th` percentile,
while `1` means `100th` percentile.
For example, the following query calculates `50th`, `90th` and `99th` percentiles for the `request_duration_seconds` [field](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model)
over logs for the last 5 minutes:
```logsql
_time:5m | stats
quantile(0.5, request_duration_seconds) p50,
quantile(0.9, request_duration_seconds) p90,
quantile(0.99, request_duration_seconds) p99
```
See also:
- [`min`](#min-stats)
- [`max`](#max-stats)
- [`median`](#median-stats)
- [`avg`](#avg-stats)
### sum stats
`sum(field1, ..., fieldN)` [stats pipe](#stats-pipe) calculates the sum of numeric values across
@ -1535,6 +1604,22 @@ See also:
- [`max`](#max-stats)
- [`min`](#min-stats)
### sum_len stats
`sum_len(field1, ..., fieldN)` [stats pipe](#stats-pipe) calculates the sum of lengths of all the values
for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
For example, the following query returns the sum of lengths of [`_msg` fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#message-field)
across all the logs for the last 5 minutes:
```logsql
_time:5m | stats sum_len(_msg) messages_len
```
See also:
- [`count`](#count-stats)
### uniq_values stats
`uniq_values(field1, ..., fieldN)` [stats pipe](#stats-pipe) returns the unique non-empty values across
@ -1631,8 +1716,6 @@ Stats over the selected logs can be calculated via [`stats` pipe](#stats-pipe).
LogsQL will support calculating the following additional stats based on the [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and fields created by [transformations](#transformations):
- The median and [percentile](https://en.wikipedia.org/wiki/Percentile) for the given field.
It will be possible specifying an optional condition [filter](#post-filters) when calculating the stats.
For example, `sum(response_size) if (is_admin:true)` calculates the total response size for admins only.

7
docs/VictoriaLogs/querying/README.md
View File

@ -50,6 +50,13 @@ By default the `/select/logsql/query` returns all the log entries matching the g
```sh
curl http://localhost:9428/select/logsql/query -d 'query=error' -d 'limit=10'
```
- By adding [`limit` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#limit-pipe) to the query. For example:
```sh
curl http://localhost:9428/select/logsql/query -d 'query=error | limit 10'
```
- By adding [`_time` filter](https://docs.victoriametrics.com/victorialogs/logsql/#time-filter). The time range for the query can be specified via optional
`start` and `end` query ars formatted according to [these docs](https://docs.victoriametrics.com/single-server-victoriametrics/#timestamp-formats).
- By adding other [filters](https://docs.victoriametrics.com/victorialogs/logsql/#filters) to the query.
The `/select/logsql/query` endpoint returns [a stream of JSON lines](https://jsonlines.org/),
where each line contains JSON-encoded log entry in the form `{field1="value1",...,fieldN="valueN"}`.

49
lib/logstorage/block_result.go
View File

@ -1738,6 +1738,55 @@ func (c *blockResultColumn) getMinValue() float64 {
}
}
func (c *blockResultColumn) sumLenValues(br *blockResult) uint64 {
if c.isConst {
v := c.encodedValues[0]
return uint64(len(v)) * uint64(len(br.timestamps))
}
if c.isTime {
return uint64(len(time.RFC3339Nano)) * uint64(len(br.timestamps))
}
switch c.valueType {
case valueTypeString:
return c.sumLenStringValues(br)
case valueTypeDict:
n := uint64(0)
dictValues := c.dictValues
for _, v := range c.encodedValues {
idx := v[0]
v := dictValues[idx]
n += uint64(len(v))
}
return n
case valueTypeUint8:
return c.sumLenStringValues(br)
case valueTypeUint16:
return c.sumLenStringValues(br)
case valueTypeUint32:
return c.sumLenStringValues(br)
case valueTypeUint64:
return c.sumLenStringValues(br)
case valueTypeFloat64:
return c.sumLenStringValues(br)
case valueTypeIPv4:
return c.sumLenStringValues(br)
case valueTypeTimestampISO8601:
return uint64(len(iso8601Timestamp)) * uint64(len(br.timestamps))
default:
logger.Panicf("BUG: unknown valueType=%d", c.valueType)
return 0
}
}
func (c *blockResultColumn) sumLenStringValues(br *blockResult) uint64 {
n := uint64(0)
for _, v := range c.getValues(br) {
n += uint64(len(v))
}
return n
}
func (c *blockResultColumn) sumValues(br *blockResult) (float64, int) {
if c.isConst {
v := c.encodedValues[0]

73
lib/logstorage/parser.go
View File

@ -206,6 +206,29 @@ func (q *Query) String() string {
return s
}
// AddTimeFilter adds global filter _time:[start ... end] to q.
func (q *Query) AddTimeFilter(start, end int64) {
startStr := marshalTimestampRFC3339Nano(nil, start)
endStr := marshalTimestampRFC3339Nano(nil, end)
ft := &filterTime{
minTimestamp: start,
maxTimestamp: end,
stringRepr: fmt.Sprintf("[%s, %s]", startStr, endStr),
}
fa, ok := q.f.(*filterAnd)
if ok {
filters := make([]filter, len(fa.filters)+1)
filters[0] = ft
copy(filters[1:], fa.filters)
fa.filters = filters
} else {
q.f = &filterAnd{
filters: []filter{ft, q.f},
}
}
}
// AddPipeLimit adds `| limit n` pipe to q.
//
// See https://docs.victoriametrics.com/victorialogs/logsql/#limit-pipe
@ -215,6 +238,56 @@ func (q *Query) AddPipeLimit(n uint64) {
})
}
// Optimize tries optimizing the query.
func (q *Query) Optimize() {
q.pipes = optimizeSortOffsetPipes(q.pipes)
q.pipes = optimizeSortLimitPipes(q.pipes)
}
func optimizeSortOffsetPipes(pipes []pipe) []pipe {
// Merge 'sort ... | offset ...' into 'sort ... offset ...'
i := 1
for i < len(pipes) {
po, ok := pipes[i].(*pipeOffset)
if !ok {
i++
continue
}
ps, ok := pipes[i-1].(*pipeSort)
if !ok {
i++
continue
}
if ps.offset == 0 && ps.limit == 0 {
ps.offset = po.n
}
pipes = append(pipes[:i], pipes[i+1:]...)
}
return pipes
}
func optimizeSortLimitPipes(pipes []pipe) []pipe {
// Merge 'sort ... | limit ...' into 'sort ... limit ...'
i := 1
for i < len(pipes) {
pl, ok := pipes[i].(*pipeLimit)
if !ok {
i++
continue
}
ps, ok := pipes[i-1].(*pipeSort)
if !ok {
i++
continue
}
if ps.limit == 0 || pl.n < ps.limit {
ps.limit = pl.n
}
pipes = append(pipes[:i], pipes[i+1:]...)
}
return pipes
}
func (q *Query) getNeededColumns() ([]string, []string) {
neededFields := newFieldsSet()
neededFields.add("*")

52
lib/logstorage/parser_test.go
View File

@ -926,6 +926,27 @@ func TestParseQuerySuccess(t *testing.T) {
f(`* | stats by(x) values() limit 1_000 AS y`, `* | stats by (x) values(*) limit 1000 as y`)
f(`* | stats by(x) values(a,*,b) y`, `* | stats by (x) values(*) as y`)
// stats pipe sum_len
f(`* | stats Sum_len(foo) bar`, `* | stats sum_len(foo) as bar`)
f(`* | stats BY(x, y, ) SUM_Len(foo,bar,) bar`, `* | stats by (x, y) sum_len(foo, bar) as bar`)
f(`* | stats sum_len() x`, `* | stats sum_len(*) as x`)
f(`* | stats sum_len(*) x`, `* | stats sum_len(*) as x`)
f(`* | stats sum_len(foo,*,bar) x`, `* | stats sum_len(*) as x`)
// stats pipe quantile
f(`* | stats quantile(0, foo) bar`, `* | stats quantile(0, foo) as bar`)
f(`* | stats quantile(1, foo) bar`, `* | stats quantile(1, foo) as bar`)
f(`* | stats quantile(0.5, a, b, c) bar`, `* | stats quantile(0.5, a, b, c) as bar`)
f(`* | stats quantile(0.99, *) bar`, `* | stats quantile(0.99, *) as bar`)
f(`* | stats quantile(0.99, a, *, b) bar`, `* | stats quantile(0.99, *) as bar`)
// stats pipe median
f(`* | stats Median(foo) bar`, `* | stats median(foo) as bar`)
f(`* | stats BY(x, y, ) MEDIAN(foo,bar,) bar`, `* | stats by (x, y) median(foo, bar) as bar`)
f(`* | stats median() x`, `* | stats median(*) as x`)
f(`* | stats median(*) x`, `* | stats median(*) as x`)
f(`* | stats median(foo,*,bar) x`, `* | stats median(*) as x`)
// stats pipe multiple funcs
f(`* | stats count() "foo.bar:baz", count_uniq(a) bar`, `* | stats count(*) as "foo.bar:baz", count_uniq(a) as bar`)
f(`* | stats by (x, y) count(*) foo, count_uniq(a,b) bar`, `* | stats by (x, y) count(*) as foo, count_uniq(a, b) as bar`)
@ -953,6 +974,15 @@ func TestParseQuerySuccess(t *testing.T) {
f(`* | sort bY (foo)`, `* | sort by (foo)`)
f(`* | sORt bY (_time, _stream DEsc, host)`, `* | sort by (_time, _stream desc, host)`)
f(`* | sort bY (foo desc, bar,) desc`, `* | sort by (foo desc, bar) desc`)
f(`* | sort limit 10`, `* | sort limit 10`)
f(`* | sort offset 20 limit 10`, `* | sort offset 20 limit 10`)
f(`* | sort desc limit 10`, `* | sort desc limit 10`)
f(`* | sort desc offset 20 limit 10`, `* | sort desc offset 20 limit 10`)
f(`* | sort by (foo desc, bar) limit 10`, `* | sort by (foo desc, bar) limit 10`)
f(`* | sort by (foo desc, bar) oFFset 20 limit 10`, `* | sort by (foo desc, bar) offset 20 limit 10`)
f(`* | sort by (foo desc, bar) desc limit 10`, `* | sort by (foo desc, bar) desc limit 10`)
f(`* | sort by (foo desc, bar) desc OFFSET 30 limit 10`, `* | sort by (foo desc, bar) desc offset 30 limit 10`)
f(`* | sort by (foo desc, bar) desc limit 10 OFFSET 30`, `* | sort by (foo desc, bar) desc offset 30 limit 10`)
// uniq pipe
f(`* | uniq`, `* | uniq`)
@ -1275,6 +1305,18 @@ func TestParseQueryFailure(t *testing.T) {
f(`foo | stats values(a) limit 0.5`)
f(`foo | stats values(a) limit -1`)
// invalid stats sum_len
f(`foo | stats sum_len`)
f(`foo | stats sum_len()`)
// invalid stats quantile
f(`foo | stats quantile`)
f(`foo | stats quantile() foo`)
f(`foo | stats quantile(bar, baz) foo`)
f(`foo | stats quantile(0.5) foo`)
f(`foo | stats quantile(-1, x) foo`)
f(`foo | stats quantile(10, x) foo`)
// invalid stats grouping fields
f(`foo | stats by(foo:bar) count() baz`)
f(`foo | stats by(foo:/bar) count() baz`)
@ -1297,6 +1339,16 @@ func TestParseQueryFailure(t *testing.T) {
f(`foo | sort by(baz`)
f(`foo | sort by(baz,`)
f(`foo | sort by(bar) foo`)
f(`foo | sort by(bar) limit`)
f(`foo | sort by(bar) limit foo`)
f(`foo | sort by(bar) limit -1234`)
f(`foo | sort by(bar) limit 12.34`)
f(`foo | sort by(bar) limit 10 limit 20`)
f(`foo | sort by(bar) offset`)
f(`foo | sort by(bar) offset limit`)
f(`foo | sort by(bar) offset -1234`)
f(`foo | sort by(bar) offset 12.34`)
f(`foo | sort by(bar) offset 10 offset 20`)
// invalid uniq pipe
f(`foo | uniq bar`)

2
lib/logstorage/pipe.go
View File

@ -65,7 +65,7 @@ func parsePipes(lex *lexer) ([]pipe, error) {
var pipes []pipe
for !lex.isKeyword(")", "") {
if !lex.isKeyword("|") {
return nil, fmt.Errorf("expecting '|'")
return nil, fmt.Errorf("expecting '|'; got %q", lex.token)
}
if !lex.mustNextToken() {
return nil, fmt.Errorf("missing token after '|'")

139
lib/logstorage/pipe_sort.go
View File

@ -25,6 +25,14 @@ type pipeSort struct {
// whether to apply descending order
isDesc bool
// how many results to skip
offset uint64
// how many results to return
//
// if zero, then all the results are returned
limit uint64
}
func (ps *pipeSort) String() string {
@ -39,6 +47,12 @@ func (ps *pipeSort) String() string {
if ps.isDesc {
s += " desc"
}
if ps.offset > 0 {
s += fmt.Sprintf(" offset %d", ps.offset)
}
if ps.limit > 0 {
s += fmt.Sprintf(" limit %d", ps.limit)
}
return s
}
@ -55,6 +69,13 @@ func (ps *pipeSort) updateNeededFields(neededFields, unneededFields fieldsSet) {
}
func (ps *pipeSort) newPipeProcessor(workersCount int, stopCh <-chan struct{}, cancel func(), ppBase pipeProcessor) pipeProcessor {
if ps.limit > 0 {
return newPipeTopkProcessor(ps, workersCount, stopCh, cancel, ppBase)
}
return newPipeSortProcessor(ps, workersCount, stopCh, cancel, ppBase)
}
func newPipeSortProcessor(ps *pipeSort, workersCount int, stopCh <-chan struct{}, cancel func(), ppBase pipeProcessor) pipeProcessor {
maxStateSize := int64(float64(memory.Allowed()) * 0.2)
shards := make([]pipeSortProcessorShard, workersCount)
@ -117,6 +138,9 @@ type pipeSortProcessorShardNopad struct {
// stateSizeBudget is the remaining budget for the whole state size for the shard.
// The per-shard budget is provided in chunks from the parent pipeSortProcessor.
stateSizeBudget int
// columnValues is used as temporary buffer at pipeSortProcessorShard.writeBlock
columnValues [][]string
}
// sortBlock represents a block of logs for sorting.
@ -176,16 +200,23 @@ func (shard *pipeSortProcessorShard) writeBlock(br *blockResult) {
if len(byFields) == 0 {
// Sort by all the columns
columnValues := shard.columnValues[:0]
for _, c := range cs {
columnValues = append(columnValues, c.getValues(br))
}
shard.columnValues = columnValues
// Generate byColumns
var rc resultColumn
bb := bbPool.Get()
for i := range br.timestamps {
// JSON-encode all the columns per each row into a single string
for rowIdx := range br.timestamps {
// Marshal all the columns per each row into a single string
// and sort rows by the resulting string.
bb.B = bb.B[:0]
for _, c := range cs {
v := c.getValueAtRow(br, i)
bb.B = marshalJSONKeyValue(bb.B, c.name, v)
for i, values := range columnValues {
v := values[rowIdx]
bb.B = marshalJSONKeyValue(bb.B, cs[i].name, v)
bb.B = append(bb.B, ',')
}
rc.addValue(bytesutil.ToUnsafeString(bb.B))
@ -358,10 +389,8 @@ func (psp *pipeSortProcessor) flush() error {
return fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", psp.ps.String(), psp.maxStateSize/(1<<20))
}
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
// Sort every shard in parallel
@ -377,17 +406,15 @@ func (psp *pipeSortProcessor) flush() error {
}
wg.Wait()
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
// Merge sorted results across shards
sh := pipeSortProcessorShardsHeap(make([]*pipeSortProcessorShard, 0, len(shards)))
for i := range shards {
shard := &shards[i]
if shard.Len() > 0 {
if len(shard.rowRefs) > 0 {
sh = append(sh, shard)
}
}
@ -400,49 +427,43 @@ func (psp *pipeSortProcessor) flush() error {
wctx := &pipeSortWriteContext{
psp: psp,
}
var shardNext *pipeSortProcessorShard
shardNextIdx := 0
for len(sh) > 1 {
shard := sh[0]
wctx.writeRow(shard, shard.rowRefNext)
shard.rowRefNext++
wctx.writeNextRow(shard)
if shard.rowRefNext >= len(shard.rowRefs) {
_ = heap.Pop(&sh)
shardNext = nil
shardNextIdx = 0
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
continue
}
if shardNext == nil {
shardNext = sh[1]
if len(sh) > 2 && sortBlockLess(sh[2], sh[2].rowRefNext, shardNext, shardNext.rowRefNext) {
shardNext = sh[2]
if shardNextIdx == 0 {
shardNextIdx = 1
if len(sh) > 2 && sh.Less(2, 1) {
shardNextIdx = 2
}
}
if sortBlockLess(shardNext, shardNext.rowRefNext, shard, shard.rowRefNext) {
if sh.Less(shardNextIdx, 0) {
heap.Fix(&sh, 0)
shardNext = nil
shardNextIdx = 0
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
}
}
if len(sh) == 1 {
shard := sh[0]
for shard.rowRefNext < len(shard.rowRefs) {
wctx.writeRow(shard, shard.rowRefNext)
shard.rowRefNext++
wctx.writeNextRow(shard)
}
}
wctx.flush()
@ -455,14 +476,25 @@ type pipeSortWriteContext struct {
rcs []resultColumn
br blockResult
rowsWritten uint64
valuesLen int
}
func (wctx *pipeSortWriteContext) writeRow(shard *pipeSortProcessorShard, rowIdx int) {
func (wctx *pipeSortWriteContext) writeNextRow(shard *pipeSortProcessorShard) {
ps := shard.ps
rowIdx := shard.rowRefNext
shard.rowRefNext++
wctx.rowsWritten++
if wctx.rowsWritten <= ps.offset {
return
}
rr := shard.rowRefs[rowIdx]
b := &shard.blocks[rr.blockIdx]
byFields := shard.ps.byFields
byFields := ps.byFields
rcs := wctx.rcs
areEqualColumns := len(rcs) == len(byFields)+len(b.otherColumns)
@ -671,7 +703,36 @@ func parsePipeSort(lex *lexer) (*pipeSort, error) {
ps.isDesc = true
}
for {
switch {
case lex.isKeyword("offset"):
lex.nextToken()
s := lex.token
n, ok := tryParseUint64(s)
lex.nextToken()
if !ok {
return nil, fmt.Errorf("cannot parse 'offset %s'", s)
}
if ps.offset > 0 {
return nil, fmt.Errorf("duplicate 'offset'; the previous one is %d; the new one is %s", ps.offset, s)
}
ps.offset = n
case lex.isKeyword("limit"):
lex.nextToken()
s := lex.token
n, ok := tryParseUint64(s)
lex.nextToken()
if !ok {
return nil, fmt.Errorf("cannot parse 'limit %s'", s)
}
if ps.limit > 0 {
return nil, fmt.Errorf("duplicate 'limit'; the previous one is %d; the new one is %s", ps.limit, s)
}
ps.limit = n
default:
return &ps, nil
}
}
}
// bySortField represents 'by (...)' part of the pipeSort.
@ -725,13 +786,6 @@ func parseBySortFields(lex *lexer) ([]*bySortField, error) {
}
}
func marshalJSONKeyValue(dst []byte, k, v string) []byte {
dst = strconv.AppendQuote(dst, k)
dst = append(dst, ':')
dst = strconv.AppendQuote(dst, v)
return dst
}
func tryParseInt64(s string) (int64, bool) {
if len(s) == 0 {
return 0, false
@ -756,3 +810,10 @@ func tryParseInt64(s string) (int64, bool) {
}
return -int64(u64), true
}
func marshalJSONKeyValue(dst []byte, k, v string) []byte {
dst = strconv.AppendQuote(dst, k)
dst = append(dst, ':')
dst = strconv.AppendQuote(dst, v)
return dst
}

26
lib/logstorage/pipe_stats.go
View File

@ -345,10 +345,8 @@ func (psp *pipeStatsProcessor) flush() error {
for key, psg := range shard.m {
// shard.m may be quite big, so this loop can take a lot of time and CPU.
// Stop processing data as soon as stopCh is closed without wasting additional CPU time.
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
spgBase := m[key]
@ -388,10 +386,8 @@ func (psp *pipeStatsProcessor) flush() error {
for key, psg := range m {
// m may be quite big, so this loop can take a lot of time and CPU.
// Stop processing data as soon as stopCh is closed without wasting additional CPU time.
select {
case <-psp.stopCh:
if needStop(psp.stopCh) {
return nil
default:
}
// Unmarshal values for byFields from key.
@ -534,6 +530,24 @@ func parseStatsFunc(lex *lexer) (statsFunc, string, error) {
return nil, "", fmt.Errorf("cannot parse 'values' func: %w", err)
}
sf = svs
case lex.isKeyword("sum_len"):
sss, err := parseStatsSumLen(lex)
if err != nil {
return nil, "", fmt.Errorf("cannot parse 'sum_len' func: %w", err)
}
sf = sss
case lex.isKeyword("quantile"):
sqs, err := parseStatsQuantile(lex)
if err != nil {
return nil, "", fmt.Errorf("cannot parse 'quantile' func: %w", err)
}
sf = sqs
case lex.isKeyword("median"):
sms, err := parseStatsMedian(lex)
if err != nil {
return nil, "", fmt.Errorf("cannot parse 'median' func: %w", err)
}
sf = sms
default:
return nil, "", fmt.Errorf("unknown stats func %q", lex.token)
}

553
lib/logstorage/pipe_topk.go Normal file
View File

@ -0,0 +1,553 @@
package logstorage
import (
"container/heap"
"fmt"
"strings"
"sync"
"sync/atomic"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/stringsutil"
)
func newPipeTopkProcessor(ps *pipeSort, workersCount int, stopCh <-chan struct{}, cancel func(), ppBase pipeProcessor) pipeProcessor {
maxStateSize := int64(float64(memory.Allowed()) * 0.2)
shards := make([]pipeTopkProcessorShard, workersCount)
for i := range shards {
shard := &shards[i]
shard.ps = ps
shard.stateSizeBudget = stateSizeBudgetChunk
maxStateSize -= stateSizeBudgetChunk
}
ptp := &pipeTopkProcessor{
ps: ps,
stopCh: stopCh,
cancel: cancel,
ppBase: ppBase,
shards: shards,
maxStateSize: maxStateSize,
}
ptp.stateSizeBudget.Store(maxStateSize)
return ptp
}
type pipeTopkProcessor struct {
ps *pipeSort
stopCh <-chan struct{}
cancel func()
ppBase pipeProcessor
shards []pipeTopkProcessorShard
maxStateSize int64
stateSizeBudget atomic.Int64
}
type pipeTopkProcessorShard struct {
pipeTopkProcessorShardNopad
// The padding prevents false sharing on widespread platforms with 128 mod (cache line size) = 0 .
_ [128 - unsafe.Sizeof(pipeTopkProcessorShardNopad{})%128]byte
}
type pipeTopkProcessorShardNopad struct {
// ps points to the parent pipeSort.
ps *pipeSort
// rows contains rows tracked by the given shard.
rows []*pipeTopkRow
// rowNext points to the next index at rows during merge shards phase
rowNext int
// tmpRow is used as a temporary row when determining whether the next ingested row must be stored in the shard.
tmpRow pipeTopkRow
// these are aux fields for determining whether the next row must be stored in rows.
byColumnValues [][]string
otherColumnValues []pipeTopkOtherColumn
byColumns []string
otherColumns []Field
// stateSizeBudget is the remaining budget for the whole state size for the shard.
// The per-shard budget is provided in chunks from the parent pipeTopkProcessor.
stateSizeBudget int
}
type pipeTopkRow struct {
byColumns []string
otherColumns []Field
}
type pipeTopkOtherColumn struct {
name string
values []string
}
func (r *pipeTopkRow) clone() *pipeTopkRow {
byColumnsCopy := make([]string, len(r.byColumns))
for i := range byColumnsCopy {
byColumnsCopy[i] = strings.Clone(r.byColumns[i])
}
otherColumnsCopy := make([]Field, len(r.otherColumns))
for i := range otherColumnsCopy {
src := &r.otherColumns[i]
dst := &otherColumnsCopy[i]
dst.Name = strings.Clone(src.Name)
dst.Value = strings.Clone(src.Value)
}
return &pipeTopkRow{
byColumns: byColumnsCopy,
otherColumns: otherColumnsCopy,
}
}
func (r *pipeTopkRow) sizeBytes() int {
n := int(unsafe.Sizeof(*r))
for _, v := range r.byColumns {
n += len(v)
}
n += len(r.byColumns) * int(unsafe.Sizeof(r.byColumns[0]))
for _, f := range r.otherColumns {
n += len(f.Name) + len(f.Value)
}
n += len(r.otherColumns) * int(unsafe.Sizeof(r.otherColumns[0]))
return n
}
func (shard *pipeTopkProcessorShard) Len() int {
return len(shard.rows)
}
func (shard *pipeTopkProcessorShard) Swap(i, j int) {
rows := shard.rows
rows[i], rows[j] = rows[j], rows[i]
}
func (shard *pipeTopkProcessorShard) Less(i, j int) bool {
rows := shard.rows
// This is max heap
return topkLess(shard.ps, rows[j], rows[i])
}
func (shard *pipeTopkProcessorShard) Push(x any) {
r := x.(*pipeTopkRow)
shard.rows = append(shard.rows, r)
}
func (shard *pipeTopkProcessorShard) Pop() any {
rows := shard.rows
x := rows[len(rows)-1]
rows[len(rows)-1] = nil
shard.rows = rows[:len(rows)-1]
return x
}
// writeBlock writes br to shard.
func (shard *pipeTopkProcessorShard) writeBlock(br *blockResult) {
cs := br.getColumns()
byFields := shard.ps.byFields
if len(byFields) == 0 {
// Sort by all the fields
byColumnValues := shard.byColumnValues[:0]
for _, c := range cs {
byColumnValues = append(byColumnValues, c.getValues(br))
}
shard.byColumnValues = byColumnValues
byColumns := shard.byColumns[:0]
otherColumns := shard.otherColumns[:0]
bb := bbPool.Get()
for rowIdx := range br.timestamps {
byColumns = byColumns[:0]
bb.B = bb.B[:0]
for i, values := range byColumnValues {
v := values[rowIdx]
bb.B = marshalJSONKeyValue(bb.B, cs[i].name, v)
bb.B = append(bb.B, ',')
}
byColumns = append(byColumns, bytesutil.ToUnsafeString(bb.B))
otherColumns = otherColumns[:0]
for i, values := range byColumnValues {
otherColumns = append(otherColumns, Field{
Name: cs[i].name,
Value: values[rowIdx],
})
}
shard.addRow(byColumns, otherColumns)
}
bbPool.Put(bb)
shard.byColumns = byColumns
shard.otherColumns = otherColumns
} else {
// Sort by byFields
byColumnValues := shard.byColumnValues[:0]
for _, bf := range byFields {
c := br.getColumnByName(bf.name)
byColumnValues = append(byColumnValues, c.getValues(br))
}
shard.byColumnValues = byColumnValues
otherColumnValues := shard.otherColumnValues[:0]
for _, c := range cs {
isByField := false
for _, bf := range byFields {
if bf.name == c.name {
isByField = true
break
}
}
if !isByField {
otherColumnValues = append(otherColumnValues, pipeTopkOtherColumn{
name: c.name,
values: c.getValues(br),
})
}
}
shard.otherColumnValues = otherColumnValues
// add rows to shard
byColumns := shard.byColumns[:0]
otherColumns := shard.otherColumns[:0]
for rowIdx := range br.timestamps {
byColumns = byColumns[:0]
for _, values := range byColumnValues {
byColumns = append(byColumns, values[rowIdx])
}
otherColumns = otherColumns[:0]
for _, ocv := range otherColumnValues {
otherColumns = append(otherColumns, Field{
Name: ocv.name,
Value: ocv.values[rowIdx],
})
}
shard.addRow(byColumns, otherColumns)
}
shard.byColumns = byColumns
shard.otherColumns = otherColumns
}
}
func (shard *pipeTopkProcessorShard) addRow(byColumns []string, otherColumns []Field) {
r := &shard.tmpRow
r.byColumns = byColumns
r.otherColumns = otherColumns
rows := shard.rows
if len(rows) > 0 && !topkLess(shard.ps, r, rows[0]) {
// Fast path - nothing to add.
return
}
// Slow path - add r to shard.rows.
r = r.clone()
shard.stateSizeBudget -= r.sizeBytes()
if uint64(len(rows)) < shard.ps.limit {
heap.Push(shard, r)
shard.stateSizeBudget -= int(unsafe.Sizeof(r))
} else {
shard.stateSizeBudget += rows[0].sizeBytes()
rows[0] = r
heap.Fix(shard, 0)
}
}
func (shard *pipeTopkProcessorShard) sortRows(stopCh <-chan struct{}) {
rows := shard.rows
for i := len(rows) - 1; i > 0; i-- {
x := heap.Pop(shard)
rows[i] = x.(*pipeTopkRow)
if needStop(stopCh) {
return
}
}
shard.rows = rows
}
func (ptp *pipeTopkProcessor) writeBlock(workerID uint, br *blockResult) {
if len(br.timestamps) == 0 {
return
}
shard := &ptp.shards[workerID]
for shard.stateSizeBudget < 0 {
// steal some budget for the state size from the global budget.
remaining := ptp.stateSizeBudget.Add(-stateSizeBudgetChunk)
if remaining < 0 {
// The state size is too big. Stop processing data in order to avoid OOM crash.
if remaining+stateSizeBudgetChunk >= 0 {
// Notify worker goroutines to stop calling writeBlock() in order to save CPU time.
ptp.cancel()
}
return
}
shard.stateSizeBudget += stateSizeBudgetChunk
}
shard.writeBlock(br)
}
func (ptp *pipeTopkProcessor) flush() error {
if n := ptp.stateSizeBudget.Load(); n <= 0 {
return fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", ptp.ps.String(), ptp.maxStateSize/(1<<20))
}
if needStop(ptp.stopCh) {
return nil
}
// Sort every shard in parallel
var wg sync.WaitGroup
shards := ptp.shards
for i := range shards {
wg.Add(1)
go func(shard *pipeTopkProcessorShard) {
shard.sortRows(ptp.stopCh)
wg.Done()
}(&shards[i])
}
wg.Wait()
if needStop(ptp.stopCh) {
return nil
}
// Merge sorted results across shards
sh := pipeTopkProcessorShardsHeap(make([]*pipeTopkProcessorShard, 0, len(shards)))
for i := range shards {
shard := &shards[i]
if len(shard.rows) > 0 {
sh = append(sh, shard)
}
}
if len(sh) == 0 {
return nil
}
heap.Init(&sh)
wctx := &pipeTopkWriteContext{
ptp: ptp,
}
shardNextIdx := 0
for len(sh) > 1 {
shard := sh[0]
if !wctx.writeNextRow(shard) {
break
}
if shard.rowNext >= len(shard.rows) {
_ = heap.Pop(&sh)
shardNextIdx = 0
if needStop(ptp.stopCh) {
return nil
}
continue
}
if shardNextIdx == 0 {
shardNextIdx = 1
if len(sh) > 2 && sh.Less(2, 1) {
shardNextIdx = 2
}
}
if sh.Less(shardNextIdx, 0) {
heap.Fix(&sh, 0)
shardNextIdx = 0
if needStop(ptp.stopCh) {
return nil
}
}
}
if len(sh) == 1 {
shard := sh[0]
for shard.rowNext < len(shard.rows) {
if !wctx.writeNextRow(shard) {
break
}
}
}
wctx.flush()
return nil
}
type pipeTopkWriteContext struct {
ptp *pipeTopkProcessor
rcs []resultColumn
br blockResult
rowsWritten uint64
valuesLen int
}
func (wctx *pipeTopkWriteContext) writeNextRow(shard *pipeTopkProcessorShard) bool {
ps := shard.ps
rowIdx := shard.rowNext
shard.rowNext++
wctx.rowsWritten++
if wctx.rowsWritten <= ps.offset {
return true
}
if wctx.rowsWritten > ps.offset+ps.limit {
return false
}
r := shard.rows[rowIdx]
byFields := ps.byFields
rcs := wctx.rcs
areEqualColumns := len(rcs) == len(byFields)+len(r.otherColumns)
if areEqualColumns {
for i, c := range r.otherColumns {
if rcs[len(byFields)+i].name != c.Name {
areEqualColumns = false
break
}
}
}
if !areEqualColumns {
// send the current block to bbBase and construct a block with new set of columns
wctx.flush()
rcs = wctx.rcs[:0]
for _, bf := range byFields {
rcs = append(rcs, resultColumn{
name: bf.name,
})
}
for _, c := range r.otherColumns {
rcs = append(rcs, resultColumn{
name: c.Name,
})
}
wctx.rcs = rcs
}
byColumns := r.byColumns
for i := range byFields {
v := byColumns[i]
rcs[i].addValue(v)
wctx.valuesLen += len(v)
}
for i, c := range r.otherColumns {
v := c.Value
rcs[len(byFields)+i].addValue(v)
wctx.valuesLen += len(v)
}
if wctx.valuesLen >= 1_000_000 {
wctx.flush()
}
return true
}
func (wctx *pipeTopkWriteContext) flush() {
rcs := wctx.rcs
br := &wctx.br
wctx.valuesLen = 0
if len(rcs) == 0 {
return
}
// Flush rcs to ppBase
br.setResultColumns(rcs)
wctx.ptp.ppBase.writeBlock(0, br)
br.reset()
for i := range rcs {
rcs[i].resetKeepName()
}
}
type pipeTopkProcessorShardsHeap []*pipeTopkProcessorShard
func (sh *pipeTopkProcessorShardsHeap) Len() int {
return len(*sh)
}
func (sh *pipeTopkProcessorShardsHeap) Swap(i, j int) {
a := *sh
a[i], a[j] = a[j], a[i]
}
func (sh *pipeTopkProcessorShardsHeap) Less(i, j int) bool {
a := *sh
shardA := a[i]
shardB := a[j]
return topkLess(shardA.ps, shardA.rows[shardA.rowNext], shardB.rows[shardB.rowNext])
}
func (sh *pipeTopkProcessorShardsHeap) Push(x any) {
shard := x.(*pipeTopkProcessorShard)
*sh = append(*sh, shard)
}
func (sh *pipeTopkProcessorShardsHeap) Pop() any {
a := *sh
x := a[len(a)-1]
a[len(a)-1] = nil
*sh = a[:len(a)-1]
return x
}
func topkLess(ps *pipeSort, a, b *pipeTopkRow) bool {
byFields := ps.byFields
csA := a.byColumns
csB := b.byColumns
for k := range csA {
isDesc := ps.isDesc
if len(byFields) > 0 && byFields[k].isDesc {
isDesc = !isDesc
}
vA := csA[k]
vB := csB[k]
if vA == vB {
continue
}
if isDesc {
return stringsutil.LessNatural(vB, vA)
}
return stringsutil.LessNatural(vA, vB)
}
return false
}

12
lib/logstorage/pipe_uniq.go
View File

@ -209,10 +209,8 @@ func (pup *pipeUniqProcessor) flush() error {
m := shards[0].m
shards = shards[1:]
for i := range shards {
select {
case <-pup.stopCh:
if needStop(pup.stopCh) {
return nil
default:
}
for k := range shards[i].m {
@ -229,10 +227,8 @@ func (pup *pipeUniqProcessor) flush() error {
if len(byFields) == 0 {
for k := range m {
select {
case <-pup.stopCh:
if needStop(pup.stopCh) {
return nil
default:
}
rowFields = rowFields[:0]
@ -259,10 +255,8 @@ func (pup *pipeUniqProcessor) flush() error {
}
} else {
for k := range m {
select {
case <-pup.stopCh:
if needStop(pup.stopCh) {
return nil
default:
}
rowFields = rowFields[:0]

2
lib/logstorage/stats_max.go
View File

@ -86,7 +86,7 @@ func (smp *statsMaxProcessor) mergeState(sfp statsProcessor) {
}
func (smp *statsMaxProcessor) finalizeStats() string {
return strconv.FormatFloat(smp.max, 'g', -1, 64)
return strconv.FormatFloat(smp.max, 'f', -1, 64)
}
func parseStatsMax(lex *lexer) (*statsMax, error) {

65
lib/logstorage/stats_median.go Normal file
View File

@ -0,0 +1,65 @@
package logstorage
import (
"slices"
"unsafe"
)
type statsMedian struct {
fields []string
containsStar bool
}
func (sm *statsMedian) String() string {
return "median(" + fieldNamesString(sm.fields) + ")"
}
func (sm *statsMedian) neededFields() []string {
return sm.fields
}
func (sm *statsMedian) newStatsProcessor() (statsProcessor, int) {
smp := &statsMedianProcessor{
sqp: &statsQuantileProcessor{
sq: &statsQuantile{
fields: sm.fields,
containsStar: sm.containsStar,
phi: 0.5,
},
},
}
return smp, int(unsafe.Sizeof(*smp)) + int(unsafe.Sizeof(*smp.sqp)) + int(unsafe.Sizeof(*smp.sqp.sq))
}
type statsMedianProcessor struct {
sqp *statsQuantileProcessor
}
func (smp *statsMedianProcessor) updateStatsForAllRows(br *blockResult) int {
return smp.sqp.updateStatsForAllRows(br)
}
func (smp *statsMedianProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
return smp.sqp.updateStatsForRow(br, rowIdx)
}
func (smp *statsMedianProcessor) mergeState(sfp statsProcessor) {
src := sfp.(*statsMedianProcessor)
smp.sqp.mergeState(src.sqp)
}
func (smp *statsMedianProcessor) finalizeStats() string {
return smp.sqp.finalizeStats()
}
func parseStatsMedian(lex *lexer) (*statsMedian, error) {
fields, err := parseFieldNamesForStatsFunc(lex, "median")
if err != nil {
return nil, err
}
sm := &statsMedian{
fields: fields,
containsStar: slices.Contains(fields, "*"),
}
return sm, nil
}

2
lib/logstorage/stats_min.go
View File

@ -86,7 +86,7 @@ func (smp *statsMinProcessor) mergeState(sfp statsProcessor) {
}
func (smp *statsMinProcessor) finalizeStats() string {
return strconv.FormatFloat(smp.min, 'g', -1, 64)
return strconv.FormatFloat(smp.min, 'f', -1, 64)
}
func parseStatsMin(lex *lexer) (*statsMin, error) {

215
lib/logstorage/stats_quantile.go Normal file
View File

@ -0,0 +1,215 @@
package logstorage
import (
"fmt"
"math"
"slices"
"strconv"
"unsafe"
"github.com/valyala/fastrand"
)
type statsQuantile struct {
fields []string
containsStar bool
phi float64
}
func (sq *statsQuantile) String() string {
return fmt.Sprintf("quantile(%g, %s)", sq.phi, fieldNamesString(sq.fields))
}
func (sq *statsQuantile) neededFields() []string {
return sq.fields
}
func (sq *statsQuantile) newStatsProcessor() (statsProcessor, int) {
sqp := &statsQuantileProcessor{
sq: sq,
}
return sqp, int(unsafe.Sizeof(*sqp))
}
type statsQuantileProcessor struct {
sq *statsQuantile
h histogram
}
func (sqp *statsQuantileProcessor) updateStatsForAllRows(br *blockResult) int {
h := &sqp.h
stateSizeIncrease := 0
if sqp.sq.containsStar {
for _, c := range br.getColumns() {
for _, v := range c.getValues(br) {
f, ok := tryParseFloat64(v)
if ok {
stateSizeIncrease += h.update(f)
}
}
}
} else {
for _, field := range sqp.sq.fields {
c := br.getColumnByName(field)
for _, v := range c.getValues(br) {
f, ok := tryParseFloat64(v)
if ok {
stateSizeIncrease += h.update(f)
}
}
}
}
return stateSizeIncrease
}
func (sqp *statsQuantileProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
h := &sqp.h
stateSizeIncrease := 0
if sqp.sq.containsStar {
for _, c := range br.getColumns() {
f := c.getFloatValueAtRow(rowIdx)
if !math.IsNaN(f) {
stateSizeIncrease += h.update(f)
}
}
} else {
for _, field := range sqp.sq.fields {
c := br.getColumnByName(field)
f := c.getFloatValueAtRow(rowIdx)
if !math.IsNaN(f) {
stateSizeIncrease += h.update(f)
}
}
}
return stateSizeIncrease
}
func (sqp *statsQuantileProcessor) mergeState(sfp statsProcessor) {
src := sfp.(*statsQuantileProcessor)
sqp.h.mergeState(&src.h)
}
func (sqp *statsQuantileProcessor) finalizeStats() string {
q := sqp.h.quantile(sqp.sq.phi)
return strconv.FormatFloat(q, 'f', -1, 64)
}
func parseStatsQuantile(lex *lexer) (*statsQuantile, error) {
if !lex.isKeyword("quantile") {
return nil, fmt.Errorf("unexpected token: %q; want %q", lex.token, "quantile")
}
lex.nextToken()
fields, err := parseFieldNamesInParens(lex)
if err != nil {
return nil, fmt.Errorf("cannot parse 'quantile' args: %w", err)
}
if len(fields) < 2 {
return nil, fmt.Errorf("'quantile' must have at least two args: phi and field name")
}
// Parse phi
phi, ok := tryParseFloat64(fields[0])
if !ok {
return nil, fmt.Errorf("phi arg in 'quantile' must be floating point number; got %q", fields[0])
}
if phi < 0 || phi > 1 {
return nil, fmt.Errorf("phi arg in 'quantile' must be in the range [0..1]; got %q", fields[0])
}
// Parse fields
fields = fields[1:]
if slices.Contains(fields, "*") {
fields = []string{"*"}
}
sq := &statsQuantile{
fields: fields,
containsStar: slices.Contains(fields, "*"),
phi: phi,
}
return sq, nil
}
type histogram struct {
a []float64
min float64
max float64
count uint64
rng fastrand.RNG
}
func (h *histogram) update(f float64) int {
if h.count == 0 || f < h.min {
h.min = f
}
if h.count == 0 || f > h.max {
h.max = f
}
h.count++
if len(h.a) < maxHistogramSamples {
h.a = append(h.a, f)
return int(unsafe.Sizeof(f))
}
if n := h.rng.Uint32n(uint32(h.count)); n < uint32(len(h.a)) {
h.a[n] = f
}
return 0
}
const maxHistogramSamples = 100_000
func (h *histogram) mergeState(src *histogram) {
if src.count == 0 {
// Nothing to merge
return
}
if h.count == 0 {
h.a = append(h.a, src.a...)
h.min = src.min
h.max = src.max
h.count = src.count
return
}
h.a = append(h.a, src.a...)
if src.min < h.min {
h.min = src.min
}
if src.max > h.max {
h.max = src.max
}
h.count += src.count
}
func (h *histogram) quantile(phi float64) float64 {
if len(h.a) == 0 {
return nan
}
if len(h.a) == 1 {
return h.a[0]
}
if phi <= 0 {
return h.min
}
if phi >= 1 {
return h.max
}
slices.Sort(h.a)
idx := int(phi * float64(len(h.a)))
if idx == len(h.a) {
return h.max
}
return h.a[idx]
}

55
lib/logstorage/stats_quantile_test.go Normal file
View File

@ -0,0 +1,55 @@
package logstorage
import (
"math"
"testing"
)
func TestHistogramQuantile(t *testing.T) {
f := func(a []float64, phi, qExpected float64) {
t.Helper()
var h histogram
for _, f := range a {
h.update(f)
}
q := h.quantile(phi)
if math.IsNaN(qExpected) {
if !math.IsNaN(q) {
t.Fatalf("unexpected result for q=%v, phi=%v; got %v; want %v", a, phi, q, qExpected)
}
} else if q != qExpected {
t.Fatalf("unexpected result for q=%v, phi=%v; got %v; want %v", a, phi, q, qExpected)
}
}
f(nil, -1, nan)
f(nil, 0, nan)
f(nil, 0.5, nan)
f(nil, 1, nan)
f(nil, 10, nan)
f([]float64{123}, -1, 123)
f([]float64{123}, 0, 123)
f([]float64{123}, 0.5, 123)
f([]float64{123}, 1, 123)
f([]float64{123}, 10, 123)
f([]float64{5, 1}, -1, 1)
f([]float64{5, 1}, 0, 1)
f([]float64{5, 1}, 0.5-1e-5, 1)
f([]float64{5, 1}, 0.5, 5)
f([]float64{5, 1}, 1, 5)
f([]float64{5, 1}, 10, 5)
f([]float64{5, 1, 3}, -1, 1)
f([]float64{5, 1, 3}, 0, 1)
f([]float64{5, 1, 3}, 1.0/3-1e-5, 1)
f([]float64{5, 1, 3}, 1.0/3, 3)
f([]float64{5, 1, 3}, 2.0/3-1e-5, 3)
f([]float64{5, 1, 3}, 2.0/3, 5)
f([]float64{5, 1, 3}, 1-1e-5, 5)
f([]float64{5, 1, 3}, 1, 5)
f([]float64{5, 1, 3}, 10, 5)
}

89
lib/logstorage/stats_sum_len.go Normal file
View File

@ -0,0 +1,89 @@
package logstorage
import (
"slices"
"strconv"
"unsafe"
)
type statsSumLen struct {
fields []string
containsStar bool
}
func (ss *statsSumLen) String() string {
return "sum_len(" + fieldNamesString(ss.fields) + ")"
}
func (ss *statsSumLen) neededFields() []string {
return ss.fields
}
func (ss *statsSumLen) newStatsProcessor() (statsProcessor, int) {
ssp := &statsSumLenProcessor{
ss: ss,
sumLen: 0,
}
return ssp, int(unsafe.Sizeof(*ssp))
}
type statsSumLenProcessor struct {
ss *statsSumLen
sumLen uint64
}
func (ssp *statsSumLenProcessor) updateStatsForAllRows(br *blockResult) int {
if ssp.ss.containsStar {
// Sum all the columns
for _, c := range br.getColumns() {
ssp.sumLen += c.sumLenValues(br)
}
} else {
// Sum the requested columns
for _, field := range ssp.ss.fields {
c := br.getColumnByName(field)
ssp.sumLen += c.sumLenValues(br)
}
}
return 0
}
func (ssp *statsSumLenProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
if ssp.ss.containsStar {
// Sum all the fields for the given row
for _, c := range br.getColumns() {
v := c.getValueAtRow(br, rowIdx)
ssp.sumLen += uint64(len(v))
}
} else {
// Sum only the given fields for the given row
for _, field := range ssp.ss.fields {
c := br.getColumnByName(field)
v := c.getValueAtRow(br, rowIdx)
ssp.sumLen += uint64(len(v))
}
}
return 0
}
func (ssp *statsSumLenProcessor) mergeState(sfp statsProcessor) {
src := sfp.(*statsSumLenProcessor)
ssp.sumLen += src.sumLen
}
func (ssp *statsSumLenProcessor) finalizeStats() string {
return strconv.FormatUint(ssp.sumLen, 10)
}
func parseStatsSumLen(lex *lexer) (*statsSumLen, error) {
fields, err := parseFieldNamesForStatsFunc(lex, "sum_len")
if err != nil {
return nil, err
}
ss := &statsSumLen{
fields: fields,
containsStar: slices.Contains(fields, "*"),
}
return ss, nil
}

16
lib/logstorage/storage_search.go
View File

@ -182,12 +182,10 @@ func (s *Storage) search(workersCount int, so *genericSearchOptions, stopCh <-ch
bsws := bswb.bsws
for i := range bsws {
bsw := &bsws[i]
select {
case <-stopCh:
if needStop(stopCh) {
// The search has been canceled. Just skip all the scheduled work in order to save CPU time.
bsw.reset()
continue
default:
}
bs.search(bsw)
@ -266,11 +264,9 @@ var partitionSearchConcurrencyLimitCh = make(chan struct{}, cgroup.AvailableCPUs
type partitionSearchFinalizer func()
func (pt *partition) search(ft *filterTime, sf *StreamFilter, f filter, so *genericSearchOptions, workCh chan<- *blockSearchWorkBatch, stopCh <-chan struct{}) partitionSearchFinalizer {
select {
case <-stopCh:
if needStop(stopCh) {
// Do not spend CPU time on search, since it is already stopped.
return func() {}
default:
}
tenantIDs := so.tenantIDs
@ -436,10 +432,8 @@ func (p *part) searchByTenantIDs(so *searchOptions, bhss *blockHeaders, workCh c
// it is assumed that ibhs are sorted
ibhs := p.indexBlockHeaders
for len(ibhs) > 0 && len(tenantIDs) > 0 {
select {
case <-stopCh:
if needStop(stopCh) {
return
default:
}
// locate tenantID equal or bigger than the tenantID in ibhs[0]
@ -541,10 +535,8 @@ func (p *part) searchByStreamIDs(so *searchOptions, bhss *blockHeaders, workCh c
ibhs := p.indexBlockHeaders
for len(ibhs) > 0 && len(streamIDs) > 0 {
select {
case <-stopCh:
if needStop(stopCh) {
return
default:
}
// locate streamID equal or bigger than the streamID in ibhs[0]