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Allow supplying a KmsClient instance/supplier instead of only a reflectively-instantiated class name

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
java
Domain
backend, security

Research direction

Start by reading KeyToolkit.getKmsClient(...) and the existing CryptoFactory, DecryptionPropertiesFactory, and EncryptionPropertiesFactory reflection paths. Confirm the preferred API and storage mechanism with maintainers, then add coverage for a supplied non-no-arg KmsClient while preserving reflective construction and initialize(...) behavior.

Written by the indexing model from the issue text.

Description

Describe the enhancement requested

The key-tools KMS integration (org.apache.parquet.crypto.keytools) instantiates the KmsClient purely by reflection from a class name: KeyToolkit.getKmsClient(...) reads parquet.encryption.kms.client.class and calls newInstance(), requiring a public no-arg constructor, with credentials expected to arrive later via KmsClient.initialize(conf, kmsInstanceID, kmsInstanceURL, accessToken). The same reflective no-arg pattern applies to CryptoFactory / DecryptionPropertiesFactory / EncryptionPropertiesFactory via parquet.crypto.factory.class.

This works well when a KMS client is stateless and can bootstrap all of its credentials from the Configuration plus the access-token string. It does not work for clients that must be constructed with their dependencies and can't be reduced to a class name + string token, e.g.:

  • clients holding a live, credential-bearing SDK handle (federated / workload-identity credentials that aren't representable as a token string);
  • clients created and wired by a dependency-injection container;
  • in-memory / fake KMS clients used in tests, which carry per-test state and have no meaningful no-arg form.

For these, users must build a static side-channel: register the real instance in a static map keyed by a UUID written into the Configuration, point parquet.encryption.kms.client.class at a thin reflective shim that looks the instance back up in initialize(), and override parquet.encryption.kms.instance.id per instance to avoid colliding on KeyToolkit's per-(kmsInstanceID, accessToken) client cache. That's global mutable state with its own lifecycle/leak management and a one-Configuration-per-client invariant — boilerplate every such user reinvents.

Proposal. Add an opt-in, fully backward-compatible way to supply a pre-built KmsClient (or a Supplier<KmsClient> / small factory) programmatically, which KeyToolkit.getKmsClient(...) prefers over class-name reflection when present. Reflection stays the default, so existing configs are untouched. Rough shape (names TBD):

// today (still works):
conf.set("parquet.encryption.kms.client.class", "com.example.MyKmsClient");

// proposed addition:
KeyToolkit.setKmsClientFactory(conf, () -> myPreBuiltKmsClient); // or a KmsClientFactory

initialize(...) would still be invoked on the supplied instance, so credential/token plumbing is unchanged.

Scope / non-goals. No new dependencies and no vendor-specific code — this is only about how a KmsClient is provided, not which one. PropertiesDrivenCryptoFactory, the KeyMaterial format, caching, per-column keys, and key-rotation tooling are all unchanged; this only lifts the requirement that the client be reflectively no-arg constructible.

Question for maintainers. Would a change along these lines be welcome? And do you prefer (a) a Supplier<KmsClient> set on the Configuration / read-write options, or (b) a settable KmsClientFactory on KeyToolkit? Happy to implement it and open a PR (with tests using a non-no-arg client) once there's agreement on direction.

Component(s)

Core

Dominant language
Java
Stars
3.1k
Forks
1.6k
Avg merge
6d 16h
Merged PRs (30d)
36

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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