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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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lib/logstorage: consistently sort stream contexts belonging to different streams by the minimum time seen in the matching logs
This should simplify debugging of stream_context output, since it remains stable over repeated requests.
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@ -15,6 +15,9 @@ according to [these docs](https://docs.victoriametrics.com/victorialogs/quicksta
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## tip
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* BUGFIX: consistently return matching log streams sorted by time from [`stream_context` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stream_context-pipe). Previously log streams could be returned in arbitrary order with every request. This could complicate using `stream_context` pipe.
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* BUGFIX: add missing `_msg="---"` delimiter between stream contexts belonging to different [log streams](https://docs.victoriametrics.com/victorialogs/keyconcepts/#stream-fields). This should simplify investigating `stream_context` output for multiple matching log streams.
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## [v0.30.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v0.30.0-victorialogs)
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Released at 2024-09-27
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@ -530,7 +530,10 @@ func (pcp *pipeStreamContextProcessor) flush() error {
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pcp: pcp,
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}
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for streamID, rows := range m {
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// write output contexts in the ascending order of rows
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streamIDs := getStreamIDsSortedByMinRowTimestamp(m)
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for _, streamID := range streamIDs {
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rows := m[streamID]
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streamRowss, err := pcp.getStreamRowss(streamID, rows, stateSizeBudget)
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if err != nil {
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return err
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@ -557,6 +560,34 @@ func (pcp *pipeStreamContextProcessor) flush() error {
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return nil
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}
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func getStreamIDsSortedByMinRowTimestamp(m map[string][]streamContextRow) []string {
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type streamTimestamp struct {
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streamID string
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timestamp int64
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}
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streamTimestamps := make([]streamTimestamp, 0, len(m))
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for streamID, rows := range m {
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minTimestamp := rows[0].timestamp
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for _, r := range rows[1:] {
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if r.timestamp < minTimestamp {
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minTimestamp = r.timestamp
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}
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}
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streamTimestamps = append(streamTimestamps, streamTimestamp{
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streamID: streamID,
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timestamp: minTimestamp,
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})
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}
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sort.Slice(streamTimestamps, func(i, j int) bool {
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return streamTimestamps[i].timestamp < streamTimestamps[j].timestamp
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})
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streamIDs := make([]string, len(streamTimestamps))
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for i := range streamIDs {
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streamIDs[i] = streamTimestamps[i].streamID
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}
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return streamIDs
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}
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func newDelimiterRowFields(r *streamContextRow, streamID string) []Field {
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return []Field{
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{
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@ -662,7 +662,7 @@ func TestStorageRunQuery(t *testing.T) {
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| stream_context before 0
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| stats count() rows`, [][]Field{
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{
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{"rows", "33"},
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{"rows", "66"},
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},
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})
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})
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@ -671,7 +671,7 @@ func TestStorageRunQuery(t *testing.T) {
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| stream_context before 0 after 0
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| stats count() rows`, [][]Field{
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{
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{"rows", "33"},
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{"rows", "66"},
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},
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})
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})
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@ -680,7 +680,7 @@ func TestStorageRunQuery(t *testing.T) {
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| stream_context before 1
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| stats count() rows`, [][]Field{
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{
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{"rows", "66"},
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{"rows", "99"},
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},
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})
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})
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@ -689,7 +689,7 @@ func TestStorageRunQuery(t *testing.T) {
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| stream_context after 1
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| stats count() rows`, [][]Field{
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{
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{"rows", "66"},
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{"rows", "99"},
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},
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})
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})
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@ -698,7 +698,7 @@ func TestStorageRunQuery(t *testing.T) {
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| stream_context before 1 after 1
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| stats count() rows`, [][]Field{
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{
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{"rows", "99"},
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{"rows", "132"},
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},
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})
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})
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