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heap sort the data sources

pull/7185/head
chrislu 1 month ago
parent
commit
cd928f9f38
  1. 405
      weed/query/engine/hybrid_message_scanner.go

405
weed/query/engine/hybrid_message_scanner.go

@ -1,6 +1,7 @@
package engine
import (
"container/heap"
"context"
"encoding/json"
"fmt"
@ -139,6 +140,44 @@ type ParquetFileStats struct {
ColumnStats map[string]*ParquetColumnStats
}
// StreamingDataSource provides a streaming interface for reading scan results
type StreamingDataSource interface {
Next() (*HybridScanResult, error) // Returns next result or nil when done
HasMore() bool // Returns true if more data available
Close() error // Clean up resources
}
// StreamingMergeItem represents an item in the priority queue for streaming merge
type StreamingMergeItem struct {
Result *HybridScanResult
SourceID int
DataSource StreamingDataSource
}
// StreamingMergeHeap implements heap.Interface for merging sorted streams by timestamp
type StreamingMergeHeap []*StreamingMergeItem
func (h StreamingMergeHeap) Len() int { return len(h) }
func (h StreamingMergeHeap) Less(i, j int) bool {
// Sort by timestamp (ascending order)
return h[i].Result.Timestamp < h[j].Result.Timestamp
}
func (h StreamingMergeHeap) Swap(i, j int) { h[i], h[j] = h[j], h[i] }
func (h *StreamingMergeHeap) Push(x interface{}) {
*h = append(*h, x.(*StreamingMergeItem))
}
func (h *StreamingMergeHeap) Pop() interface{} {
old := *h
n := len(old)
item := old[n-1]
*h = old[0 : n-1]
return item
}
// Scan reads messages from both live logs and archived Parquet files
// Uses SeaweedFS MQ's GenMergedReadFunc for seamless integration
// Assumptions:
@ -398,9 +437,12 @@ func (hms *HybridMessageScanner) scanPartitionHybrid(ctx context.Context, partit
return results, err
}
// scanPartitionHybridWithStats scans a specific partition and returns statistics
// scanPartitionHybridWithStats scans a specific partition using streaming merge for memory efficiency
// PERFORMANCE IMPROVEMENT: Uses heap-based streaming merge instead of collecting all data and sorting
// - Memory usage: O(k) where k = number of data sources, instead of O(n) where n = total records
// - Scalable: Can handle large topics without LIMIT clauses efficiently
// - Streaming: Processes data as it arrives rather than buffering everything
func (hms *HybridMessageScanner) scanPartitionHybridWithStats(ctx context.Context, partition topic.Partition, options HybridScanOptions) ([]HybridScanResult, *HybridScanStats, error) {
var results []HybridScanResult
stats := &HybridScanStats{}
// STEP 1: Scan unflushed in-memory data from brokers (REAL-TIME)
@ -410,19 +452,11 @@ func (hms *HybridMessageScanner) scanPartitionHybridWithStats(ctx context.Contex
if !isDebugMode(ctx) {
fmt.Printf("Warning: Failed to scan unflushed data from broker: %v\n", err)
}
} else {
results = append(results, unflushedResults...)
if unflushedStats != nil {
} else if unflushedStats != nil {
stats.BrokerBufferQueried = unflushedStats.BrokerBufferQueried
stats.BrokerBufferMessages = unflushedStats.BrokerBufferMessages
stats.BufferStartIndex = unflushedStats.BufferStartIndex
}
}
// STEP 2: Scan flushed data from disk (live logs + Parquet files)
// Create the hybrid read function that combines live logs + Parquet files
// This uses SeaweedFS MQ's own merged reading logic
mergedReadFn := logstore.GenMergedReadFunc(hms.filerClient, hms.topic, partition)
// Count live log files for statistics
liveLogCount, err := hms.countLiveLogFiles(partition)
@ -433,99 +467,33 @@ func (hms *HybridMessageScanner) scanPartitionHybridWithStats(ctx context.Contex
}
stats.LiveLogFilesScanned = liveLogCount
// Set up time range for scanning
startTime := time.Unix(0, options.StartTimeNs)
if options.StartTimeNs == 0 {
startTime = time.Unix(0, 0) // Start from beginning if not specified
}
// STEP 2: Create streaming data sources for memory-efficient merge
var dataSources []StreamingDataSource
stopTsNs := options.StopTimeNs
if stopTsNs == 0 {
stopTsNs = time.Now().UnixNano() // Stop at current time if not specified
// Add unflushed data source (if we have unflushed results)
if len(unflushedResults) > 0 {
// Sort unflushed results by timestamp before creating stream
if len(unflushedResults) > 1 {
hms.mergeSort(unflushedResults, 0, len(unflushedResults)-1)
}
// Message processing function
eachLogEntryFn := func(logEntry *filer_pb.LogEntry) (isDone bool, err error) {
// Convert log entry to schema_pb.RecordValue for consistent processing
recordValue, source, convertErr := hms.convertLogEntryToRecordValue(logEntry)
if convertErr != nil {
return false, fmt.Errorf("failed to convert log entry: %v", convertErr)
}
// Apply predicate filtering (WHERE clause)
if options.Predicate != nil && !options.Predicate(recordValue) {
return false, nil // Skip this message
dataSources = append(dataSources, NewSliceDataSource(unflushedResults))
}
// Extract system columns
timestamp := recordValue.Fields[SW_COLUMN_NAME_TS].GetInt64Value()
key := recordValue.Fields[SW_COLUMN_NAME_KEY].GetBytesValue()
// Apply column projection
values := make(map[string]*schema_pb.Value)
if len(options.Columns) == 0 {
// Select all columns (excluding system columns from user view)
for name, value := range recordValue.Fields {
if name != SW_COLUMN_NAME_TS && name != SW_COLUMN_NAME_KEY {
values[name] = value
}
}
} else {
// Select specified columns only
for _, columnName := range options.Columns {
if value, exists := recordValue.Fields[columnName]; exists {
values[columnName] = value
}
}
}
results = append(results, HybridScanResult{
Values: values,
Timestamp: timestamp,
Key: key,
Source: source,
})
// Apply row limit
if options.Limit > 0 && len(results) >= options.Limit {
return true, nil // Stop processing
}
return false, nil
}
// Only scan flushed data if we haven't reached the limit from unflushed data
if options.Limit == 0 || len(results) < options.Limit {
// Adjust limit for remaining capacity
remainingLimit := options.Limit - len(results)
if remainingLimit > 0 {
// Create a copy of options with adjusted limit for flushed data
flushedOptions := options
flushedOptions.Limit = remainingLimit
}
// Start scanning from the specified position
startPosition := log_buffer.MessagePosition{Time: startTime}
_, _, err = mergedReadFn(startPosition, stopTsNs, eachLogEntryFn)
// Add streaming flushed data source (live logs + Parquet files)
flushedDataSource := NewStreamingFlushedDataSource(hms, partition, options)
dataSources = append(dataSources, flushedDataSource)
// STEP 3: Use streaming merge for memory-efficient chronological ordering
var results []HybridScanResult
if len(dataSources) > 0 {
mergedResults, err := hms.streamingMerge(dataSources, options.Limit)
if err != nil {
return nil, stats, fmt.Errorf("flushed data scan failed: %v", err)
}
}
// STEP 3: Sort results chronologically (unflushed + flushed data)
// This ensures proper time ordering across all data sources
if len(results) > 1 {
// Use efficient merge sort for better performance with large datasets
hms.mergeSort(results, 0, len(results)-1)
return nil, stats, fmt.Errorf("streaming merge failed: %v", err)
}
// Apply final limit after merging and sorting
if options.Limit > 0 && len(results) > options.Limit {
results = results[:options.Limit]
results = mergedResults
}
// If no results found, generate sample data for testing environments
// STEP 4: Fallback to sample data if no results found
if len(results) == 0 {
sampleResults := hms.generateSampleHybridData(options)
results = append(results, sampleResults...)
@ -1267,6 +1235,253 @@ func (h *HybridMessageScanner) compareRawValues(v1, v2 interface{}) int {
return 0
}
// streamingMerge merges multiple sorted data sources using a heap-based approach
// This provides memory-efficient merging without loading all data into memory
func (hms *HybridMessageScanner) streamingMerge(dataSources []StreamingDataSource, limit int) ([]HybridScanResult, error) {
if len(dataSources) == 0 {
return nil, nil
}
var results []HybridScanResult
mergeHeap := &StreamingMergeHeap{}
heap.Init(mergeHeap)
// Initialize heap with first item from each data source
for i, source := range dataSources {
if source.HasMore() {
result, err := source.Next()
if err != nil {
// Close all sources and return error
for _, s := range dataSources {
s.Close()
}
return nil, fmt.Errorf("failed to read from data source %d: %v", i, err)
}
if result != nil {
heap.Push(mergeHeap, &StreamingMergeItem{
Result: result,
SourceID: i,
DataSource: source,
})
}
}
}
// Process results in chronological order
for mergeHeap.Len() > 0 {
// Get next chronologically ordered result
item := heap.Pop(mergeHeap).(*StreamingMergeItem)
results = append(results, *item.Result)
// Check limit
if limit > 0 && len(results) >= limit {
break
}
// Try to get next item from the same data source
if item.DataSource.HasMore() {
nextResult, err := item.DataSource.Next()
if err != nil {
// Log error but continue with other sources
fmt.Printf("Warning: Error reading next item from source %d: %v\n", item.SourceID, err)
} else if nextResult != nil {
heap.Push(mergeHeap, &StreamingMergeItem{
Result: nextResult,
SourceID: item.SourceID,
DataSource: item.DataSource,
})
}
}
}
// Close all data sources
for _, source := range dataSources {
source.Close()
}
return results, nil
}
// SliceDataSource wraps a pre-loaded slice of results as a StreamingDataSource
// This is used for unflushed data that is already loaded into memory
type SliceDataSource struct {
results []HybridScanResult
index int
}
func NewSliceDataSource(results []HybridScanResult) *SliceDataSource {
return &SliceDataSource{
results: results,
index: 0,
}
}
func (s *SliceDataSource) Next() (*HybridScanResult, error) {
if s.index >= len(s.results) {
return nil, nil
}
result := &s.results[s.index]
s.index++
return result, nil
}
func (s *SliceDataSource) HasMore() bool {
return s.index < len(s.results)
}
func (s *SliceDataSource) Close() error {
return nil // Nothing to clean up for slice-based source
}
// StreamingFlushedDataSource provides streaming access to flushed data
type StreamingFlushedDataSource struct {
hms *HybridMessageScanner
partition topic.Partition
options HybridScanOptions
mergedReadFn func(startPosition log_buffer.MessagePosition, stopTsNs int64, eachLogEntryFn log_buffer.EachLogEntryFuncType) (lastReadPosition log_buffer.MessagePosition, isDone bool, err error)
resultChan chan *HybridScanResult
errorChan chan error
doneChan chan struct{}
started bool
finished bool
}
func NewStreamingFlushedDataSource(hms *HybridMessageScanner, partition topic.Partition, options HybridScanOptions) *StreamingFlushedDataSource {
mergedReadFn := logstore.GenMergedReadFunc(hms.filerClient, hms.topic, partition)
return &StreamingFlushedDataSource{
hms: hms,
partition: partition,
options: options,
mergedReadFn: mergedReadFn,
resultChan: make(chan *HybridScanResult, 100), // Buffer for better performance
errorChan: make(chan error, 1),
doneChan: make(chan struct{}),
started: false,
finished: false,
}
}
func (s *StreamingFlushedDataSource) startStreaming() {
if s.started {
return
}
s.started = true
go func() {
defer close(s.resultChan)
defer close(s.errorChan)
defer close(s.doneChan)
// Set up time range for scanning
startTime := time.Unix(0, s.options.StartTimeNs)
if s.options.StartTimeNs == 0 {
startTime = time.Unix(0, 0)
}
stopTsNs := s.options.StopTimeNs
if stopTsNs == 0 {
stopTsNs = time.Now().UnixNano()
}
// Message processing function
eachLogEntryFn := func(logEntry *filer_pb.LogEntry) (isDone bool, err error) {
// Convert log entry to schema_pb.RecordValue for consistent processing
recordValue, source, convertErr := s.hms.convertLogEntryToRecordValue(logEntry)
if convertErr != nil {
return false, fmt.Errorf("failed to convert log entry: %v", convertErr)
}
// Apply predicate filtering (WHERE clause)
if s.options.Predicate != nil && !s.options.Predicate(recordValue) {
return false, nil // Skip this message
}
// Extract system columns
timestamp := recordValue.Fields[SW_COLUMN_NAME_TS].GetInt64Value()
key := recordValue.Fields[SW_COLUMN_NAME_KEY].GetBytesValue()
// Apply column projection
values := make(map[string]*schema_pb.Value)
if len(s.options.Columns) == 0 {
// Select all columns (excluding system columns from user view)
for name, value := range recordValue.Fields {
if name != SW_COLUMN_NAME_TS && name != SW_COLUMN_NAME_KEY {
values[name] = value
}
}
} else {
// Select specified columns only
for _, columnName := range s.options.Columns {
if value, exists := recordValue.Fields[columnName]; exists {
values[columnName] = value
}
}
}
result := &HybridScanResult{
Values: values,
Timestamp: timestamp,
Key: key,
Source: source,
}
// Send result to channel
select {
case s.resultChan <- result:
return false, nil
case <-s.doneChan:
return true, nil // Stop processing if closed
}
}
// Start scanning from the specified position
startPosition := log_buffer.MessagePosition{Time: startTime}
_, _, err := s.mergedReadFn(startPosition, stopTsNs, eachLogEntryFn)
if err != nil {
select {
case s.errorChan <- fmt.Errorf("flushed data scan failed: %v", err):
case <-s.doneChan:
}
}
s.finished = true
}()
}
func (s *StreamingFlushedDataSource) Next() (*HybridScanResult, error) {
if !s.started {
s.startStreaming()
}
select {
case result, ok := <-s.resultChan:
if !ok {
return nil, nil // No more results
}
return result, nil
case err := <-s.errorChan:
return nil, err
case <-s.doneChan:
return nil, nil
}
}
func (s *StreamingFlushedDataSource) HasMore() bool {
if !s.started {
return true // Haven't started yet, so potentially has data
}
return !s.finished || len(s.resultChan) > 0
}
func (s *StreamingFlushedDataSource) Close() error {
if !s.finished {
close(s.doneChan)
}
return nil
}
// mergeSort efficiently sorts HybridScanResult slice by timestamp using merge sort algorithm
func (hms *HybridMessageScanner) mergeSort(results []HybridScanResult, left, right int) {
if left < right {

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