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Helm Values Size Calculator

Calculate the effective merged size of a Helm release's values after combining default values.yaml with override files, accounting for overlapping keys.

Inputs

KB

Size of the chart's default values.yaml.

KB

Combined size of -f override files and --set values supplied at install/upgrade time.

KB

Size of keys present in both default and override values (counted once in the merge).

Merged Values Size

9.50KB

Overlap Deduplication Savings

13.6%

Step by step

  1. Merged size = default + override − overlap

    8KB + 3KB − 1.5KB

    = 9.50KB

  2. Savings from overlap removal

    1.5KB ÷ (8KB + 3KB)

    = 13.6%

How it works

Helm merges values from multiple sources — the chart's default values.yaml, any `-f` override files, and `--set` flags — using a deep-merge where later sources take precedence over earlier ones. The final in-memory values object is not the simple sum of every source's size, because keys defined in both the defaults and an override are only represented once in the merged result, so the true footprint subtracts that overlap.

Formula

mergedSize = defaultValues + overrideValues - overlap

D
Default values.yaml size in KB
O
Override values size in KB
V
Overlapping keys size in KB
S
Merged values size in KB

Frequently Asked Questions

What is Helm's values merge precedence order?

From lowest to highest precedence: chart's values.yaml, parent chart's values for subcharts, `-f`/`--values` files in the order given, then `--set`/`--set-string`/`--set-json` flags, with later sources overriding earlier ones key-by-key.

Does a larger merged values size slow down rendering?

Marginally — Go template rendering has to walk the values object for every `{{ .Values.* }}` reference, so very large merged values (thousands of keys) can add measurable render time on complex charts, though it's rarely the dominant cost.

How do I find which keys are actually overlapping?

Run `helm template` with `--debug` or diff the chart's default values.yaml against your override file key-by-key; tools like `yq` or `dyff` can compute structural diffs to identify overlapping paths precisely.

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