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new 76e67232663 doc: fix the documentation on the limit ranges for fixed
bucket histograms (#19974)
76e67232663 is described below
commit 76e67232663086cbfc5ebeb2cbd73aa9c1cb5048
Author: Huy Ngu <[email protected]>
AuthorDate: Fri Aug 14 22:58:33 2026 -0400
doc: fix the documentation on the limit ranges for fixed bucket histograms
(#19974)
---
docs/development/extensions-core/approximate-histograms.md | 4 ++--
web-console/src/druid-models/metric-spec/metric-spec.tsx | 4 ++--
2 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/docs/development/extensions-core/approximate-histograms.md
b/docs/development/extensions-core/approximate-histograms.md
index a7a03a680fa..8713e58f4cc 100644
--- a/docs/development/extensions-core/approximate-histograms.md
+++ b/docs/development/extensions-core/approximate-histograms.md
@@ -120,8 +120,8 @@ For general histogram and quantile use cases, the
[DataSketches Quantiles Sketch
|`fieldName`|Column name of the input to the aggregator.|No default, must be
specified|
|`lowerLimit`|Lower limit of the histogram. |No default, must be specified|
|`upperLimit`|Upper limit of the histogram. |No default, must be specified|
-|`numBuckets`|Number of buckets for the histogram. The range [lowerLimit,
upperLimit] will be divided into `numBuckets` intervals of equal size.|10|
-|`outlierHandlingMode`|Specifies how values outside of [lowerLimit,
upperLimit] will be handled. Supported modes are "ignore", "overflow", and
"clip". See [outlier handling modes](#outlier-handling-modes) for more
details.|No default, must be specified|
+|`numBuckets`|Number of buckets for the histogram. The range [lowerLimit,
upperLimit) will be divided into `numBuckets` intervals of equal size.|10|
+|`outlierHandlingMode`|Specifies how values outside of [lowerLimit,
upperLimit) will be handled. Supported modes are "ignore", "overflow", and
"clip". See [outlier handling modes](#outlier-handling-modes) for more
details.|No default, must be specified|
|`finalizeAsBase64Binary`|If true, the finalized aggregator value will be a
Base64-encoded byte array containing the [serialized
form](#serialization-formats) of the histogram. If false, the finalized
aggregator value will be a JSON representation of the histogram.|false|
An example aggregator spec is shown below:
diff --git a/web-console/src/druid-models/metric-spec/metric-spec.tsx
b/web-console/src/druid-models/metric-spec/metric-spec.tsx
index f46b227ca31..06b631ffbda 100644
--- a/web-console/src/druid-models/metric-spec/metric-spec.tsx
+++ b/web-console/src/druid-models/metric-spec/metric-spec.tsx
@@ -368,7 +368,7 @@ export const METRIC_SPEC_FIELDS: Field<MetricSpec>[] = [
required: true,
info: (
<>
- Number of buckets for the histogram. The range <Code>[lowerLimit,
upperLimit]</Code> will be
+ Number of buckets for the histogram. The range <Code>[lowerLimit,
upperLimit)</Code> will be
divided into <Code>numBuckets</Code> intervals of equal size.
</>
),
@@ -382,7 +382,7 @@ export const METRIC_SPEC_FIELDS: Field<MetricSpec>[] = [
info: (
<>
<p>
- Specifies how values outside of <Code>[lowerLimit,
upperLimit]</Code> will be handled.
+ Specifies how values outside of <Code>[lowerLimit,
upperLimit)</Code> will be handled.
</p>
<p>
Supported modes are <Code>ignore</Code>, <Code>overflow</Code>, and
<Code>clip</Code>. See
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