Expand description
Provides an engine implementation that implements the required traits. The engine can optionally
be built into the kernel by setting the default-engine feature flag. See the related module
for more information.
Modules§
- arrow_
conversion - Conversions from kernel schema types to arrow schema types.
- arrow_
data - arrow_
expression - Expression handling based on arrow-rs compute kernels.
- default
- The Default Engine
- parquet_
row_ group_ skipping - An implementation of parquet row group skipping using data skipping predicates over footer stats.
Functions§
- parse_
json - Arrow lacks the functionality to json-parse a string column into a struct column, so we implement it here. This method is for json-parsing each string in a column of strings (add.stats to be specific) to produce a nested column of strongly typed values. We require that N rows in means N rows out.
- to_
json_ bytes - serialize an arrow RecordBatch to a JSON string by appending to a buffer.