Comments (1)
The datafusion example is not comparable. Having a trait in Rust is something different than going over FFI. The latter means that intermediate state needs to be serialized.
We will have support for Rust based UDF's for the streaming eninge very soon. However plugins are something entirely different, and I first want to have a full fledged streaming engine before tackling that.
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Related Issues (20)
- SELECT 0 from table_name return 1 line instead of expected number_of_lines(table_name) HOT 10
- Cannot request minio as s3 endpoint: "The request signature we calculated does not match the signature you provided" HOT 1
- Allow expressions in `insert_column`
- Possible miscompilation/unsoundness with latest toolchain update HOT 4
- Inconsistent construction between UInt16Type and UInt32/64Type HOT 1
- Nondeterministic execution of value counts + replace HOT 2
- faster sorting/filtering of DataFrames with array columns HOT 2
- The read_ndjson function doesn't work with storage_options using AWS S3
- Features `json` and `lazy` together implicitly require `parquet` to compile
- write_csv raises a UserWarning when writing to gzip compressed file
- Add `nulls_last` parameter to `over` HOT 3
- Scan Parquet not reading aws config to infer storage option endpoint_url
- `.explode()` PanicException: validity must be equal to the array's length HOT 1
- Add documentation on how to query cloud without SSL.
- If `.drop_nulls()` / `.drop_nans()` result in a length of 1, the value is "silently" broadcasted HOT 2
- Add a `DataFrame.lookup()` function for easy extraction of a single data point HOT 4
- Processing parquet results in pyo3_runtime.PanicException: mid > len HOT 2
- document which apache arrow layouts are used for List and Array
- Using `|` operator results in column name `literal` HOT 1
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