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chore(main): release 1.16.0 - #911

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chore(main): release 1.16.0#911
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🤖 I have created a release beepboop

1.16.0 (2024-09-04)

Features

  • Add DataFrame.struct.explode to add struct subfields to a DataFrame (#916) (ad2f75e)
  • Implement bigframes.bigquery.json_extract_array (#910) (575a29e)
  • Recover struct column from exploded Series (#904) (7dd304c)

Bug Fixes

  • Fix issue with iterating on >10gb dataframes (#949) (2b0f0fa)
  • Improve Series.replace for dict input (#907) (4208044)
  • NullIndex in ML model.predict error (#917) (612271d)
  • Struct field non-nullable type issue. (#914) (149d5ff)
  • Unordered mode errors in ml train_test_split (#925) (85d7c21)

Performance Improvements

Dependencies

  • Re-introduce support for numpy 1.24.x (#931) (3d71913)
  • Update minimum support to Pandas 1.5.3 and Pyarrow 10.0.1 (#903) (7ed3962)

Documentation

  • Add Claude3 ML and RemoteFunc notebooks (#930) (cfd16c1)
  • Create sample notebook to manipulate struct and array data (#883) (3031903)
  • Update struct examples. (#953) (d632cd0)
  • Use unstack() from BigQuery DataFrames instead of pandas in the PyPI sample notebook (#890) (d1883cc)

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@tswast

tswast commented Aug 28, 2024

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Keeping do not merge until we can get a clean e2e build.

Edit: Looks like we did have a regression recently with regards to query results > 10 GB. Please do not merge until internal issue 363251732 is resolved.

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Please wait for #949 to go in before merging this PR.

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tswast commented Sep 4, 2024

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doctest failures are:

FAILED third_party/bigframes_vendored/pandas/core/arrays/arrow/accessors.py::arrays.arrow.accessors.StructAccessor.explode
FAILED third_party/bigframes_vendored/pandas/core/arrays/arrow/accessors.py::arrays.arrow.accessors.StructAccessor.dtypes
FAILED third_party/bigframes_vendored/pandas/core/arrays/arrow/accessors.py::arrays.arrow.accessors.StructAccessor.field
FAILED third_party/bigframes_vendored/pandas/core/arrays/arrow/accessors.py::arrays.arrow.accessors.StructFrameAccessor.explode

Our best guess is that this is related to how pandas makes parquet files. Not sure why the failure only started happening recently, but it doesn't appear to be a regression caused by bigframes code. #953 to workaround this issue, but keeping the internal bug open to track the struct serialization issue.

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🤖 Created releases:

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Triggered job: cloud-devrel/client-libraries/python/googleapis/python-bigquery-dataframes/release/release (2024-09-05T16:58:35.592Z)

To trigger again, remove the autorelease: triggered label (in a few minutes).

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