Remove resultTimes as it's not used
parent
c13bdd5e86
commit
3496105033
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@ -125,13 +125,12 @@ func (m *MapReduceJob) Execute(out chan *Row, filterEmptyResults bool) {
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}
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// initialize the times of the aggregate points
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resultTimes := make([]int64, pointCountInResult)
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resultValues := make([][]interface{}, pointCountInResult)
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// ensure that the start time for the results is on the start of the window
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startTimeBucket := m.TMin / m.interval * m.interval
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for i, _ := range resultTimes {
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for i, _ := range resultValues {
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var t int64
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if m.stmt.Offset > 0 {
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t = startTimeBucket + (int64(i+1) * m.interval * int64(m.stmt.Offset))
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@ -144,7 +143,7 @@ func (m *MapReduceJob) Execute(out chan *Row, filterEmptyResults bool) {
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resultValues = resultValues[:i]
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break
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}
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resultTimes[i] = t
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// we always include time so we need one more column than we have aggregates
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vals := make([]interface{}, 0, len(aggregates)+1)
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resultValues[i] = append(vals, time.Unix(0, t).UTC())
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@ -153,7 +152,7 @@ func (m *MapReduceJob) Execute(out chan *Row, filterEmptyResults bool) {
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// This just makes sure that if they specify a start time less than what the start time would be with the offset,
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// we just reset the start time to the later time to avoid going over data that won't show up in the result.
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if m.stmt.Offset > 0 && !m.stmt.IsRawQuery {
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m.TMin = resultTimes[0]
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m.TMin = resultValues[0][0].(time.Time).UnixNano()
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}
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// now loop through the aggregate functions and populate everything
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