feat(python): integrate Ballista through DataFusion FFI - #2252
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AI Disclosure: This code was written in part by an AI agent.
AI Disclosure: This code was written in part by an AI agent.
AI Disclosure: This code was written in part by an AI agent.:
milenkovicm
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Aug 7, 2026
milenkovicm
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milenkovicm
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After many years! Thanks @timsaucer awesome as always!
| "address = f\"df://{host}:{port}\"\n", | ||
| "\n", | ||
| "ballista_config = ballista_datafusion_config_defaults()\n", | ||
| "ctx = SessionContext(SessionConfig(ballista_config)).with_extensions(\n", |
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Can we use ballista context to hide next few lines and simplify session context creation ?
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| class RedefiningDataFrameMeta(type): |
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Can we remove this once we get FFI planner ?
| session_id = args[0].session_id | ||
| df = func(*args, **kwargs) | ||
| return DistributedDataFrame(df, session_id, address) | ||
| return DistributedDataFrame( |
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DistributedDataFrame, should be removed with FFI, should it ?
| name: &str, | ||
| buf: &[u8], | ||
| ) -> Result<Arc<datafusion::logical_expr::ScalarUDF>> { | ||
| self.default_codec.try_decode_udf(name, buf) |
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Do we need to do something extra to get python udf serde?
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Summary
BallistaExtensionbundle that installs its components atomically withSessionContext.with_extensionsTesting
cargo checkcargo fmt -- --checkuv run pytest python/tests/test_context.py -q(21 passed)