You can use the
quantize operator to control the Sumo’s quantization behavior, which is described in detail in Metric Quantization. You can specify:
- The size of the time buckets across which Sumo aggregates your metrics. If you do not specify a quantization interval, Sumo determines an optimum size for time buckets, as described in Automatic quantization at query time.
- The rollup type that Sumo uses to aggregate the individual data points in a time bucket, which can be one of
avg, min, max, sum,or
count. If you do not specify a rollup type in the
quantizeclause of your query, for each time bucket, Sumo presents the average of the data points in that bucket.
quantize to INTERVAL [using ROLLUP]
avg, min, max, sum, or
Set time bucket size
quantize clause in this metric query sets the time bucket size to 5 minutes. Sumo will aggregate the metrics in each time bucket using the default rollup type,
_sourceCategory=hostmetrics | quantize to 5m
Set time bucket size and rollup type
quantize clause in this metric query sets the time bucket size to 10 minutes, and specifies the
sum rollup type. Sumo will sum the metric values in each 10 minute time bucket and return that value.
metric=CPU_User cluster=kafka | quantize to 10m using sum