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@ -257,6 +257,37 @@ func (sr *scrutinyRepository) EnsureTasks(ctx context.Context, orgID string) err
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return nil
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}
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/*
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sourceBucket = "metrics"
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rangeStart = -2w
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rangeEnd = -1w
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aggWindow = 1w
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destBucket = "metrics_weekly"
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destOrg = "scrutiny"
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smart_data = from(bucket: sourceBucket)
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|> range(start: rangeStart, stop: rangeEnd)
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|> filter(fn: (r) => r["_measurement"] == "smart" )
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|> filter(fn: (r) => r["_field"] !~ /(_measurement|device_protocol|device_wwn|attribute_id|raw_string|status_reason|when_failed)/)
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|> yield(name: "last")
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smart_data
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|> aggregateWindow(fn: mean, every: aggWindow)
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|> to(bucket: destBucket, org: destOrg)
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temp_data = from(bucket: sourceBucket)
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|> range(start: rangeStart, stop: rangeEnd)
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|> filter(fn: (r) => r["_measurement"] == "temp")
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|> toInt()
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|> yield(name: "mean")
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temp_data
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|> aggregateWindow(fn: mean, every: aggWindow)
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|> to(bucket: destBucket, org: destOrg)
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*/
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func (sr *scrutinyRepository) DownsampleScript(aggregationType string) string {
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var sourceBucket string // the source of the data
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var destBucket string // the destination for the aggregated data
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@ -284,7 +315,7 @@ func (sr *scrutinyRepository) DownsampleScript(aggregationType string) string {
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aggWindow = "1y"
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}
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return fmt.Sprintf(`
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return fmt.Sprintf(`import "types"
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sourceBucket = "%s"
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rangeStart = %s
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rangeEnd = %s
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@ -295,18 +326,24 @@ func (sr *scrutinyRepository) DownsampleScript(aggregationType string) string {
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smart_data = from(bucket: sourceBucket)
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|> range(start: rangeStart, stop: rangeEnd)
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|> filter(fn: (r) => r["_measurement"] == "smart" )
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|> filter(fn: (r) => r["_field"] !~ /(_measurement|device_protocol|device_wwn|attribute_id|raw_string|status_reason|when_failed)/)
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|> yield(name: "last")
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|> group(columns: ["device_wwn", "_field"])
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smart_data
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|> aggregateWindow(fn: mean, every: aggWindow)
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non_numeric_smart_data = smart_data
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|> filter(fn: (r) => types.isType(v: r._value, type: "string") or types.isType(v: r._value, type: "bool"))
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|> aggregateWindow(every: aggWindow, fn: last, createEmpty: false)
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numeric_smart_data = smart_data
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|> filter(fn: (r) => types.isType(v: r._value, type: "int") or types.isType(v: r._value, type: "float"))
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|> aggregateWindow(every: aggWindow, fn: mean, createEmpty: false)
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union(tables: [non_numeric_smart_data, numeric_smart_data])
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|> to(bucket: destBucket, org: destOrg)
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temp_data = from(bucket: sourceBucket)
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|> range(start: rangeStart, stop: rangeEnd)
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|> filter(fn: (r) => r["_measurement"] == "temp")
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|> group(columns: ["device_wwn"])
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|> toInt()
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|> yield(name: "mean")
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temp_data
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|> aggregateWindow(fn: mean, every: aggWindow)
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@ -726,7 +763,9 @@ func (sr *scrutinyRepository) aggregateTempQuery(durationKey string) string {
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*/
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partialQueryStr := []string{`import "influxdata/influxdb/schema"`}
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partialQueryStr := []string{
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`import "influxdata/influxdb/schema"`,
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}
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nestedDurationKeys := sr.lookupNestedDurationKeys(durationKey)
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