jonathangosling opened a new pull request, #71675:
URL: https://github.com/apache/airflow/pull/71675

   `ignore_unknown_values=True` silently does nothing under the operator's 
default `autodetect=True`. The load job's schema is inferred from the same 
source data the values are checked against, so no source field can be unknown 
to it. Users set the flag expecting fields absent from the destination table to 
be dropped, and instead get a schema mismatch with nothing in the logs 
indicating the flag was ignored.
   
   This warns when the assembled load configuration has `autodetect` truthy, 
`ignoreUnknownValues` set, and no `schema`, pointing at `autodetect=None` - the 
setting that makes BigQuery use the destination table's own schema.
   
   The check reads the assembled `configuration["load"]` rather than the 
operator attributes, because `src_fmt_configs` and `extra_config` can override 
any of those three keys after they are set (all three are in `valid_configs` 
for the relevant source formats). Two of the added test cases cover exactly 
that.
   
   It also fixes the `autodetect` docstring, which actively pointed the wrong 
way: it said the parameter "must be set to True if 'schema_fields' and 
'schema_object' are undefined" (`None` is also valid, and is the documented way 
to load into an existing table), and that it is "suggested to set to True if 
table are create outside of Airflow" (for a table created outside Airflow, 
`True` is precisely what triggers the mismatch - `None` is what works). All 
three states are now documented, and `autodetect` gets a `bool | None` 
annotation matching the existing `is False` check at the schema-object guard.
   
   Deliberately out of scope: changing the default, making `autodetect=False` 
fall back to the table schema, and redesigning the flag. The three-state 
parameter is an artifact of `"autodetect": self.autodetect` being serialized 
unconditionally, so `None` is the only way to express "omit the field" - worth 
revisiting separately, but not in a bugfix PR.
   
    <!-- SPDX-License-Identifier: Apache-2.0
         https://www.apache.org/licenses/LICENSE-2.0 -->
   
   <!--
   Thank you for contributing!
   
   Please provide above a brief description of the changes made in this pull 
request.
   Write a good git commit message following this guide: 
https://chris.beams.io/posts/git-commit/
   
   Please make sure that your code changes are covered with tests.
   And in case of new features or big changes remember to adjust the 
documentation.
   
   For user-facing UI changes, please attach before/after screenshots (or a 
short
   screen recording) so reviewers can assess the visual impact.
   
   Feel free to ping (in general) for the review if you do not see reaction for 
a few days
   (72 Hours is the minimum reaction time you can expect from volunteers) - we 
sometimes miss notifications.
   
   In case of an existing issue, reference it using one of the following:
   
   * closes: #ISSUE
   * related: #ISSUE
   -->
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   
   <!--
   If generative AI tooling has been used in the process of authoring this PR, 
please
   change below checkbox to `[X]` followed by the name of the tool, uncomment 
the "Generated-by".
   -->
   
   - [X] Yes (please specify the tool below)
   
   Generated-by: Claude Code (Opus 5) following [the 
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
   
   ---
   
   * Read the **[Pull Request 
Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)**
 for more information. Note: commit author/co-author name and email in commits 
become permanently public when merged.
   * For fundamental code changes, an Airflow Improvement Proposal 
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
 is needed.
   * When adding dependency, check compliance with the [ASF 3rd Party License 
Policy](https://www.apache.org/legal/resolved.html#category-x).
   * For significant user-facing changes create newsfragment: 
`{pr_number}.significant.rst`, in 
[airflow-core/newsfragments](https://github.com/apache/airflow/tree/main/airflow-core/newsfragments).
 You can add this file in a follow-up commit after the PR is created so you 
know the PR number.
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to