[Feature Request]: Add read() support to Java ClickHouseIO (currently write-only)

Open
#40,048 1 comment 0 reactions 1 assignee View on GitHub

Maintainers usually reply within 1 day

@nitinware is already working on this.

Since Sep 7, 2026.

Assessment

This issue has not been assessed yet.

Description

io java new feature P2
What would you like to happen?

Motivation

The Java ClickHouseIO connector at sdks/java/io/clickhouse/ currently supports only writes. Reading from ClickHouse in a Beam pipeline requires falling back to JdbcIO with the ClickHouse JDBC driver, which loses ClickHouse-specific schema fidelity (LowCardinality, Array(T), Nullable(T), Nested, tuples) and native columnar transport.

Proposal

Add ClickHouseIO.read() and ClickHouseIO.readAll() PTransforms symmetric to the existing write path:

  • Native Row output using the ClickHouse client's native format
  • Query/projection via user-supplied SELECT template
  • Splittable reader for parallel reads across partitions / shards,
    modeled on JdbcIO's splitting pattern
  • Reuse the existing connection configuration builder from the writer

Benefits

  • Closes an obvious read/write asymmetry — every other major DB IO in
    Beam (JDBC, Cassandra, Mongo, HBase, Spanner, BigQuery, Snowflake)
    supports both directions
  • ClickHouse is increasingly common as an analytics source; users
    currently work around this with JdbcIO at the cost of type fidelity

Testing plan

  • Unit tests mirroring the existing writer test file
  • Integration test using the module's existing testcontainers-based
    ClickHouse setup (ClickHouseContainer is already wired in build.gradle)
  • No new dependencies required
Issue Priority

Priority: 2 (default / most feature requests should be filed as P2)

Issue Components
  • Component: Python SDK
  • Component: Java SDK
  • Component: Go SDK
  • Component: Typescript SDK
  • Component: IO connector
  • Component: Beam YAML
  • Component: Beam examples
  • Component: Beam playground
  • Component: Beam katas
  • Component: Website
  • Component: Infrastructure
  • Component: Spark Runner
  • Component: Flink Runner
  • Component: Prism Runner
  • Component: Twister2 Runner
  • Component: Hazelcast Jet Runner
  • Component: Google Cloud Dataflow Runner
Dominant language
Java
Stars
8.7k
Forks
4.8k
Avg merge
2d 9h
Merged PRs (30d)
368

Getting set up

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.

More from apache/beam

All issues in apache/beam

Similar issues

More Java issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.