Skip to content

Add mention of Managed Iceberg read breakage #39660

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ahmedabu98 merged 1 commit into from
Aug 7, 2026
+6 −2
Merged

Add mention of Managed Iceberg read breakage #39660

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 6 additions & 2 deletions CHANGES.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -87,8 +87,12 @@
* (Python) Removed `google-perftools` from the SDK container images. Users who wish to use `--profiler_agent=tcmalloc` should install google-perftools APT package in their custom container images separately ([#39323](https://github.com/apache/beam/issues/39323)).
* [IcebergIO] Reading a `timestamptz` column will now return a `Timestamp.MICROS` Beam logical type to preserve
microseconds (the old Beam `Schema.FieldType#DATETIME` primitive type truncates past milliseconds). This may break
existing streaming read pipelines. It also breaks Python reads when a `timestamptz` column is present. Use pipeline
option `--updateCompatibilityVersion=2.75.0` (or any older version) to keep the old behavior ([#39344](https://github.com/apache/beam/issues/39344)).
the following use cases when a `timestamptz` column is present:
* Existing streaming read pipelines.
* Managed Iceberg batch reads when upgraded from an older SDK.
* Python reads.

Use pipeline option `--updateCompatibilityVersion=2.75.0` (or any older version) to keep the old behavior ([#39344](https://github.com/apache/beam/issues/39344)).
* `DoFn.process` returning a `str`, `bytes`, or `dict` (instead of an iterable wrapping one) now raises a `TypeError` rather than silently iterating per-character/byte/key (Python) ([#18712](https://github.com/apache/beam/issues/18712)).
* (Java) Added `DRAINING` and `DRAINED` states to `PipelineResult`, including runner state mappings and Dataflow update handling ([#39020](https://github.com/apache/beam/issues/39020)).
* (Python) Typehints of dataclass fields are honored during type inferences. To restore the behavior of fallback-to-any,
Expand Down
Loading