rollup

Type of operation: Aggregate, Metrics

Description

Rollup raw metrics into aligned metrics.

This verb is deprecated. Please use align instead.

Usage

rollup [ options ], metric_1, metric_2, ...

Argument

Type

Optional

Repeatable

Restrictions

options

options

yes

no

constant

metric

expression

no

yes

none

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.

This can be written as align 300s, requests: rate(m("requests_total")) using align, assuming the metric has the rollup property set to "rate".

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.

This can be written as align options(bins: 2000), failed_requests: rate(m("requests_total")) using align, assuming the metric has the rollup property set to "rate".

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.

This can be written as align 300s, failed_requests: rate(m("requests_total", status_code >= 400 and status_code <= 599)) using align, assuming the metric has the rollup property set to "rate".

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.

This can be written as align 300s, failed_requests: avg(m("requests_total")) using align.