BucketTransform fails on dictionary-encoded pyArrow arrays

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
55/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
databases

Research direction

Reproduce the failure with pyarrow.read_table(read_dictionary=string_columns) followed by table.append(df) using a bucket transform. Inspect the bucket-transform handling for Dictionary (Int32, Utf8) arrays; done means dictionary-encoded columns can be appended without the unsupported-data-type error.

Written by the indexing model from the issue text.

Description

Apache Iceberg version

0.9.1

Please describe the bug 🐞

Pyiceberg version - 0.9.1 (also reproduced with 0,11.1)
Pyiceberg core version - 0.9.1

table created with bucket transform

df = pyarrow.read_table(read_dictionary=string_columns)

table.append(df)

ValueError : Feature Unsupported => Unsupported data type for bucket transform: Dictionary (Int32, Utf8)

Willingness to contribute
  • I can contribute a fix for this bug independently
  • I would be willing to contribute a fix for this bug with guidance from the Iceberg community
  • I cannot contribute a fix for this bug at this time
Dominant language
Python
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Merged PRs (30d)
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