datafusion-extra-functions-ffi
Apache DataFusion core deliberately keeps its
function library lean, so aggregates like mode, skewness, and kurtosis
live in the contrib
datafusion-extra-functions
crate — Rust-only, with no Python exposure. This package closes that gap: it
exposes the crate's aggregate UDFs to
datafusion-python through the
__datafusion_aggregate_udf__ PyCapsule protocol, as prebuilt wheels — no Rust
toolchain required.
Usage
from datafusion import SessionContext, col, udaf
import datafusion_extra_functions_ffi as ffi
ffi.list_functions()
# ['mode', 'max_by', 'min_by', 'kurtosis', 'skewness', 'kurtosis_pop']
skew = udaf(ffi.udaf_by_name("skewness"))
ctx = SessionContext()
df = ctx.from_pydict({"a": [1.0, 2.0, 2.0, 9.0]})
df.aggregate([], [skew(col("a"))]).show()
Or register for SQL:
ctx.register_udaf(udaf(ffi.udaf_by_name("mode")))
ctx.sql("SELECT mode(a) FROM my_table").show()
The API is name-driven: whatever aggregates the pinned
datafusion-extra-functions revision provides appear in list_functions()
automatically.
Version compatibility
The DataFusion FFI ABI is tied to the datafusion major version this package
was compiled against. The wheel pins the matching datafusion range
(currently >=54,<55), because a mismatch fails at the FFI boundary rather
than with a clean error. When a new datafusion-python major ships, this
package is rebuilt against it and re-released.
Building from source
Requires a Rust toolchain (see rust-version in Cargo.toml).
pip install maturin
maturin develop --release
License
Apache-2.0, same as the upstream crate it binds.
1 maintainer
Metadata
1 maintainer
Release files for datafusion-extra-functions-ffi 0.1.0
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