rollup¶

Description¶

Rollup raw metrics into aligned metrics

Usage¶

rollup [ options ], metric ...

Argument	Type	Required	Multiple
options	options	Optional	Only one
metric	expression	Required	Can be multiple

Options¶

Option	Type	Meaning
resolution	duration	How large each rolled-up bucket is (e g 5m)
buckets	int64	Approximately how many buckets to divide the query window into (not accelerable)
empty_bins	bool	deprecated

Accelerable¶

rollup is sometimes accelerable, depending on options used. A dataset that only uses accelerable verbs can be accelerated, making queries on the dataset respond faster.

Examples¶

rollup options(resolution:300s), requests:metric("requests_total")

Generates a column named “requests” holding “requests_total” metric and align them with 300s time bins.

rollup options(buckets:2000), failed_requests:metric("requests_total")

Generates a column named “failed_requests” holding “requests_total” metric and align them with 2000 uniform time bins in the query window.

rollup options(resolution:300s), failed_requests:metric("requests_total", filter:status_code >= 400 and status_code <= 599)

Generates a column named “failed_requests” holding “requests_total” metric where status_code is in [400, 599], and align them with 300s time bins.

rollup options(resolution:300s), failed_requests:metric("requests_total", type:cumulativeCounter, rollup:avg, aggregate:sum)

Generates a column named “failed_requests” holding “requests_total” metric and align them with 300s time bins with the provided method.