[FLINK-40190][python] Add PyFlink DataFrame creation and conversion APIs - #28934
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[FLINK-40190][python] Add PyFlink DataFrame creation and conversion APIs#28934auroflow wants to merge 6 commits into
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Add pandas, Arrow, Table, and range creators with strict schema and watermark validation. Add DataFrame conversion wrappers and schema-aware in-memory and Arrow source paths. Generated-by: Codex (GPT-5)
Align timezone-aware Arrow timestamps with existing Table API semantics, delegate pandas creation to the Arrow path, and add split-aware Arrow IPC serialization. Refine watermark and row helpers with focused tests. Generated-by: Codex (GPT-5)
Combine inferred-schema row conversion with DataFrame creation and let range use its known BIGINT schema directly. Generated-by: Codex (GPT-5)
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Reject ranges whose emitted values exceed signed BIGINT bounds before creating the underlying table. Cover valid boundary values and ascending and descending overflow cases. Generated-by: Codex (GPT-5)
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Clarify that to_table does not execute a job, simplify the DataFrame creation and results reference pages, and exercise from_pandas through filtering, projection, and conversion in the existing pandas round-trip integration smoke test. Generated-by: Codex (GPT-5)
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August 7, 2026 03:09
Inline the single-use Arrow IPC writer into TableEnvironment._from_arrow and remove its helper-specific tests. This also avoids the NamedTemporaryFile wrapper type mismatch reported by mypy. Generated-by: Codex (GPT-5)
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What is the purpose of the change
This pull request completes the data creation and conversion APIs for the PyFlink DataFrame API described in FLINK-40190.
It adds creation from pandas DataFrames, PyArrow tables, PyFlink Tables, dictionaries, records, and integer ranges. It also supports conversion back to Table and pandas, explicit column names, and event-time watermarks where applicable.
Brief change log
from_pandas(),from_arrow(),from_table(), andrange(), and complete the existingfrom_dict()andfrom_records()creators.DataFrame.to_table()andDataFrame.to_pandas().Verifying this change
This change added tests and can be verified as follows:
to_table()andto_pandas().from_arrow()→ DataFrame transformation →to_pandas().Does this pull request potentially affect one of the following parts:
@Public(Evolving): yesDocumentation
Was generative AI tooling used to co-author this PR?
Generated-by: Codex (GPT-5)