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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/accum.md
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id: accum
title: accum Metrics Operator
sidebar_label: accum
description: Use the accum metrics operator to create a series of running totals for each metric time series, starting from the first data point and iteratively adding successive values.
---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/along.md
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- metrics
- along
- join
description: Use the along metrics statement to control what results are joined when combining multiple metrics queries based on the value of one or more result fields.
---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/avg.md
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id: avg
title: avg Metrics Operator
sidebar_label: avg
description: Use the avg metrics operator to calculate the average of all matching time series.When grouping is specified, calculates the average for each group.
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description: Use the avg metrics operator to calculate the average of all matching time series.When grouping is specified, calculates the average for each group.
description: Use the avg metrics operator to calculate the average of all matching time series. When grouping is specified, it calculates the average for each group.

---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/bottomk.md
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id: bottomk
title: bottomk Metrics Operator
sidebar_label: bottomk
description: Use the bottomk metrics operator to apply an aggregation function to matching time series and return the N time series with the lowest evaluated values over the query time range.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/count.md
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id: count
title: count Metrics Operator
sidebar_label: count
description: Use the count metrics operator to count the total number of time series that match the query.When grouping is specified, counts the total for each group.
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description: Use the count metrics operator to count the total number of time series that match the query.When grouping is specified, counts the total for each group.
description: Use the count metrics operator to count the total number of time series that match the query. When grouping is specified, it counts the total for each group.

---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/delta.md
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id: delta
title: delta Metrics Operator
sidebar_label: delta
description: Use the delta metrics operator to compute the backward difference at each data point, determining how much the metric changed from its previous value in the time series.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/eval.md
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id: eval
title: eval Metrics Operator
sidebar_label: eval
description: Use the eval metrics operator to evaluate time series based on user-specified arithmetic or mathematical functions.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/ewma.md
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id: ewma
title: ewma Metrics Operator
sidebar_label: ewma
description: Use the ewma metrics operator to compute an Exponentially Weighted Moving Average on time series data, smoothing short-term fluctuations to reveal long-term trends.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/fillmissing.md
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id: fillmissing
title: fillmissing Metrics Operator
sidebar_label: fillmissing
description: Use the fillmissing metrics operator to fill empty time slices in query results with derived data points, preventing straight-line interpolation in visualizations.
---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/filter.md
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id: filter
title: filter Metrics Operator
sidebar_label: filter
description: Use the filter metrics operator to limit results returned by a metric query through aggregation functions or value conditions over time.
---

:::note
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/histogram-quantile.md
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id: histogram-quantile
title: histogram_quantile Metrics Operator
sidebar_label: histogram_quantile
description: Use the histogram_quantile metrics operator to calculate the φ-quantile (0 ≤ φ ≤ 1) from Prometheus histogram buckets.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/in.md
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id: in
title: in Metrics Operator
sidebar_label: in
description: Use the in metrics operator in query selectors as shorthand for multiple OR conditions, simplifying queries that check if a field matches any value in a list.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/max.md
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id: max
title: max Metrics Operator
sidebar_label: max
description: Use the max metrics operator to calculate the maximum value of time series that match the query.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/min.md
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id: min
title: min Metrics Operator
sidebar_label: min
description: Use the min metrics operator to calculate the minimum value of time series that match the query.
---


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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/outlier.md
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id: outlier
title: outlier Metrics Operator
sidebar_label: outlier
description: Use the outlier metrics operator to identify data points outside the range of expected values by tracking moving average and standard deviation over a specified time window.
---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/parse.md
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id: parse
title: parse Metrics Operator
sidebar_label: parse
description: Use the parse metrics operator to parse specified fields and create new fields for use in metrics queries.
---

The parse operator parses the specified field to create new fields to use in the metrics query.
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/pct.md
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id: pct
title: pct Metrics Operator
sidebar_label: pct
description: Use the pct metrics operator to calculate the nth percentile of input series values at each timestamp for each time interval.
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/quantize.md
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id: quantize
title: quantize Metrics Operator
sidebar_label: quantize
description: Use the quantize metrics operator to control quantization behavior by specifying time bucket size and rollup type for aggregating data points.
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/rate.md
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id: rate
title: rate Metrics Operator
sidebar_label: rate
description: Use the rate metrics operator to calculate the per-second rate of change between data points in time series.
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/stddev.md
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id: stddev
title: stddev Metrics Operator
sidebar_label: stddev
description: Use the stddev metrics operator to measure the magnitude of deviations between values in time series, calculating standard deviation at each time interval.
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/sum.md
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id: sum
title: sum Metrics Operator
sidebar_label: sum
description: Use the sum metrics operator to calculate the sum of metric values that match the query.When grouping is specified, calculates the sum for each group.
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description: Use the sum metrics operator to calculate the sum of metric values that match the query.When grouping is specified, calculates the sum for each group.
description: Use the sum metrics operator to calculate the sum of metric values that match the query. When grouping is specified, it calculates the sum for each group.

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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/timeshift.md
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id: timeshift
title: timeshift Metrics Operator
sidebar_label: timeshift
description: Use the timeshift metrics operator to shift time series from your query by a specified period of time.
---

import useBaseUrl from '@docusaurus/useBaseUrl';
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/topk.md
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id: topk
title: topk Metrics Operator
sidebar_label: topk
description: Use the topk metrics operator to apply an aggregation function to matching time series and return the N time series with the highest evaluated values over the query time range.
---

The `topk` operator applies a specified aggregation function to the time series that match the query selector, and returns the *n* time series that have the highest evaluated value over the query time range.  
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1 change: 1 addition & 0 deletions docs/metrics/metrics-operators/where.md
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id: where
title: where Metrics Operator
sidebar_label: where
description: Use the where metrics operator to filter out entire time series or individual data points within a time series using value boolean expressions or reducer boolean expressions.
---

You can use the `where` operator to filter out either entire time series, or individual data points within a time series.
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