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Increase the number of go routines for search
Sort performance increases as the size of each sublist decreases (n in nlog(n) decreases). Merger is then responsible for merging the sorted lists in order, and since in most cases we are only interesed in the matches in the first page on the screen so the overhead in the process is negligible.
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@ -43,7 +43,7 @@ func NewMatcher(patternBuilder func([]rune) *Pattern,
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tac: tac,
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tac: tac,
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eventBox: eventBox,
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eventBox: eventBox,
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reqBox: util.NewEventBox(),
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reqBox: util.NewEventBox(),
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partitions: runtime.NumCPU(),
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partitions: 16 * runtime.NumCPU(),
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mergerCache: make(map[string]*Merger)}
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mergerCache: make(map[string]*Merger)}
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}
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}
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@ -106,18 +106,19 @@ func (m *Matcher) Loop() {
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}
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}
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func (m *Matcher) sliceChunks(chunks []*Chunk) [][]*Chunk {
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func (m *Matcher) sliceChunks(chunks []*Chunk) [][]*Chunk {
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perSlice := len(chunks) / m.partitions
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partitions := m.partitions
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perSlice := len(chunks) / partitions
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// No need to parallelize
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if perSlice == 0 {
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if perSlice == 0 {
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return [][]*Chunk{chunks}
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partitions = len(chunks)
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perSlice = 1
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}
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}
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slices := make([][]*Chunk, m.partitions)
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slices := make([][]*Chunk, partitions)
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for i := 0; i < m.partitions; i++ {
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for i := 0; i < partitions; i++ {
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start := i * perSlice
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start := i * perSlice
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end := start + perSlice
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end := start + perSlice
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if i == m.partitions-1 {
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if i == partitions-1 {
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end = len(chunks)
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end = len(chunks)
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}
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}
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slices[i] = chunks[start:end]
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slices[i] = chunks[start:end]
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