Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-05-20 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-05-20 Thread via GitHub


enzomaruffa commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4500712156

   @ahmedabu98 of course! Thanks for checking! 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-05-20 Thread via GitHub


enzomaruffa commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4500708223

   Hi hi! Anything we can do to help this move forward? cc @damccorm, 
@ahmedabu98 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-05-20 Thread via GitHub


enzomaruffa commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4500698747

   assign set of reviewers


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-20 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-20 Thread via GitHub


damccorm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4280870391

   R: @ahmedabu98 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-20 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-16 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4260111498

   Reminder, please take a look at this pr: @shunping 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-09 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-04-07 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4198983724

   Reminder, please take a look at this pr: @claudevdm 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-30 Thread via GitHub


damccorm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4155945892

   @ahmedabu98 could you please take a look?


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-26 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-24 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4117872363

   Reminder, please take a look at this pr: @jrmccluskey 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-16 Thread via GitHub


damccorm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4068000624

   @ahmedabu98 could you please take a look here?


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-13 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-10 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-4031010742

   Reminder, please take a look at this pr: @damccorm 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-03-03 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-19 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-17 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3914433940

   Reminder, please take a look at this pr: @tvalentyn 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-09 Thread via GitHub


claudevdm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3872277765

   @Abacn @ahmedabu98 can you see if you approve of this approach please?


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-09 Thread via GitHub


claudevdm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3872270904

   /gemini review


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-09 Thread via GitHub


claudevdm commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3872267211

   Looks like some of the tests are failing
   
   def test_convert_to_usertype_with_overrides(self):
 """Test convert_to_usertype function with type_overrides."""
 import datetime
   
   > schema = bigquery.TableSchema(
 fields=[
 bigquery.TableFieldSchema(
 name='id', type='INTEGER', mode="REQUIRED"),
 bigquery.TableFieldSchema(
 name='event_date', type='DATE', mode="NULLABLE")
 ])
   E AttributeError: module 'apache_beam.io.gcp.internal.clients.bigquery' 
has no attribute 'TableSchema'


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-09 Thread via GitHub


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-04 Thread via GitHub


enzomaruffa commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2765078302


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   @claudevdm, @ahmedabu98 - I've updated the PR with the `type_overrides` 
idea. Works perfectly for us. Let me know if we need any other changes on this 
PR other than the failing checks.



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-02-04 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3847146167

   Reminder, please take a look at this pr: @claudevdm 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-27 Thread via GitHub


enzomaruffa commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2733782402


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   @claudevdm sounds pretty reasonable. I have added the work here doing this + 
updated the PR description. We'll run some more tests with these tweaks 
internally to make sure they work and I can report back here later.



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-21 Thread via GitHub


claudevdm commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2712828662


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   Maybe a middleground is to allow users to pass type_overrides, that override 
the default type mappings?



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-21 Thread via GitHub


claudevdm commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2712828662


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   Maybe a middleground is to allow users to pass type_overrides, that override 
the default type mappings? This way beam can add official mappings later on, 
and using strings now is possible without needing future breaking changes.



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-20 Thread via GitHub


scwe commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2710457890


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   Hi all :wave: I've been working on this stuff with @enzomaruffa for a while. 
I totally understand that this solution very hacky but realistically we don't 
have the resources to dedicate to building anything more robust.
   
   So my question essentially becomes: is there any way we can get support for 
all BQ types bumped in priority on your end? We've been following along/waiting 
for over a year at this point hoping that it would be solved and would love to 
be able to use python dataflow in production without maintaining our own hacky 
fork.



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-20 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3772611666

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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-16 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3759778475

   Reminder, please take a look at this pr: @shunping 


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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-08 Thread via GitHub


ahmedabu98 commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2674621615


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   `DATE` and `DATETIME` aren't supported yet (only `TIMESTAMP`)
   
   But I'm not very keen on defaulting them to Strings, it's not very robust. 
We should choose a Python native type that is closer to what a DATE/DATETIME 
actually is.
   
   Some options are discussed in https://s.apache.org/beam-timestamp-strategy 
(under "Python Nanosecond Support" --> "DateTime"). It'll take more work but I 
think it's a better longterm solution for Beam.



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-08 Thread via GitHub


enzomaruffa commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2674606689


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   Hi @Abacn! From our experience, these are definitely missing. I am not sure 
if it has to do something also missing in under-the-hood xlang implementation 
that uses the Java SDK, but Beam would block us before even getting it deployed 
to Dataflow with these types being unsupported. 
   
   I'd love to be wrong and have a simpler solution instead of this, though 🙏 



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-08 Thread via GitHub


Abacn commented on code in PR #37253:
URL: https://github.com/apache/beam/pull/37253#discussion_r2673112820


##
sdks/python/apache_beam/io/gcp/bigquery_schema_tools.py:
##
@@ -49,6 +49,9 @@
 "BYTES": bytes,
 "TIMESTAMP": apache_beam.utils.timestamp.Timestamp,
 "GEOGRAPHY": str,
+"DATE": str,

Review Comment:
   I remember DATE/DATETIME types were already supported in Python BigQuery 
Storage API. cc: @ahmedabu98 
   
   If there is ineed still gap, we should use Python language type rather than 
str. Similar treatment was done in Python JdbcIO (Jdbc Date type and time type)



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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-07 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3722509672

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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-07 Thread via GitHub


github-actions[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3722190415

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Re: [PR] feat: Adds support for DATE, DATETIME and JSON BigQuery types in the Python SDK using Storage API [beam]

2026-01-07 Thread via GitHub


gemini-code-assist[bot] commented on PR #37253:
URL: https://github.com/apache/beam/pull/37253#issuecomment-3721921414

   ## Summary of Changes
   
   Hello @enzomaruffa, I'm Gemini Code Assist[^1]! I'm currently reviewing this 
pull request and will post my feedback shortly. In the meantime, here's a 
summary to help you and other reviewers quickly get up to speed!
   
   This pull request significantly enhances the Apache Beam Python SDK's 
BigQuery I/O capabilities by introducing support for `DATE`, `DATETIME`, and 
`JSON` BigQuery types. This change is crucial for users migrating Dataflow 
pipelines to Python, particularly those leveraging the high-performance Storage 
Write API with `BEAM_ROW` format, as it resolves previous `ValueError` issues 
encountered with these types. The implementation pragmatically maps these 
BigQuery types to Python strings, ensuring immediate compatibility and 
unblocking production pipelines.
   
   ### Highlights
   
   * **BigQuery Type Support**: Adds support for `DATE`, `DATETIME`, and `JSON` 
BigQuery types within the Python SDK's BigQuery I/O type mappings.
   * **Storage Write API Compatibility**: Enables these new types to be used 
seamlessly with the BigQuery Storage Write API when utilizing the `BEAM_ROW` 
format (i.e., `use_beam_io_types=True`).
   * **Python Type Mapping**: The `DATE`, `DATETIME`, and `JSON` BigQuery types 
are pragmatically mapped to Python's `str` type, consistent with existing 
`GEOGRAPHY` type handling.
   * **Comprehensive Testing**: Extensive unit tests have been added for each 
new type, covering schema conversion, type mapping verification, 
`bq_field_to_type` function, `convert_to_usertype`, and 
`BeamSchemaConversionDoFn` processing across various modes (REQUIRED, NULLABLE, 
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