martin-g commented on code in PR #173: URL: https://github.com/apache/arrow-datafusion-python/pull/173#discussion_r1103125722
########## src/common/data_type.rs: ########## @@ -0,0 +1,511 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +use datafusion::arrow::datatypes::DataType; +use datafusion_common::DataFusionError; +use pyo3::prelude::*; + +use crate::errors::py_datafusion_err; + +/// These bindings are tying together several disparate systems. +/// You have SQL types for the SQL strings and RDBMS systems itself. +/// Rust types for the DataFusion code +/// Arrow types which represents the underlying arrow format +/// Python types which represent the type in Python +/// It is important to keep all of those types in a single +/// and managable location. Therefore this structure exists +/// to map those types and provide a simple place for developers +/// to map types from one system to another. +#[derive(Debug, Clone)] +#[pyclass(name = "DataTypeMap", module = "datafusion", subclass)] +pub struct DataTypeMap { + #[allow(dead_code)] + arrow_type: PyDataType, + #[allow(dead_code)] + python_type: PythonType, + #[allow(dead_code)] + sql_type: SqlType, +} + +impl DataTypeMap { + fn new(arrow_type: DataType, python_type: PythonType, sql_type: SqlType) -> Self { + DataTypeMap { + arrow_type: PyDataType { + data_type: arrow_type, + }, + python_type, + sql_type, + } + } + + pub fn map_from_arrow_type(arrow_type: &DataType) -> Result<DataTypeMap, PyErr> { + match arrow_type { + DataType::Null => Ok(DataTypeMap::new( + DataType::Null, + PythonType::None, + SqlType::NULL, + )), + DataType::Boolean => Ok(DataTypeMap::new( + DataType::Boolean, + PythonType::Bool, + SqlType::BOOLEAN, + )), + DataType::Int8 => Ok(DataTypeMap::new( + DataType::Int8, + PythonType::Int, + SqlType::TINYINT, + )), + DataType::Int16 => Ok(DataTypeMap::new( + DataType::Int16, + PythonType::Int, + SqlType::SMALLINT, + )), + DataType::Int32 => Ok(DataTypeMap::new( + DataType::Int32, + PythonType::Int, + SqlType::INTEGER, + )), + DataType::Int64 => Ok(DataTypeMap::new( + DataType::Int64, + PythonType::Int, + SqlType::BIGINT, + )), + DataType::UInt8 => Ok(DataTypeMap::new( + DataType::UInt8, + PythonType::Int, + SqlType::TINYINT, + )), + DataType::UInt16 => Ok(DataTypeMap::new( + DataType::UInt16, + PythonType::Int, + SqlType::SMALLINT, + )), + DataType::UInt32 => Ok(DataTypeMap::new( + DataType::UInt32, + PythonType::Int, + SqlType::INTEGER, + )), + DataType::UInt64 => Ok(DataTypeMap::new( + DataType::UInt64, + PythonType::Int, + SqlType::BIGINT, + )), + DataType::Float16 => Ok(DataTypeMap::new( + DataType::Float16, + PythonType::Float, + SqlType::FLOAT, + )), + DataType::Float32 => Ok(DataTypeMap::new( + DataType::Float32, + PythonType::Float, + SqlType::FLOAT, + )), + DataType::Float64 => Ok(DataTypeMap::new( + DataType::Float64, + PythonType::Float, + SqlType::FLOAT, + )), + DataType::Timestamp(_, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Date32 => Ok(DataTypeMap::new( + DataType::Date32, + PythonType::Datetime, + SqlType::DATE, + )), + DataType::Date64 => Ok(DataTypeMap::new( + DataType::Date64, + PythonType::Datetime, + SqlType::DATE, + )), + DataType::Time32(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Time64(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Duration(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Interval(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Binary => Ok(DataTypeMap::new( + DataType::Binary, + PythonType::Bytes, + SqlType::BINARY, + )), + DataType::FixedSizeBinary(_) => Err(py_datafusion_err( + DataFusionError::NotImplemented(format!("{:?}", arrow_type)), + )), + DataType::LargeBinary => Ok(DataTypeMap::new( + DataType::LargeBinary, + PythonType::Bytes, + SqlType::BINARY, + )), + DataType::Utf8 => Ok(DataTypeMap::new( + DataType::Utf8, + PythonType::Str, + SqlType::VARCHAR, + )), + DataType::LargeUtf8 => Ok(DataTypeMap::new( + DataType::LargeUtf8, + PythonType::Str, + SqlType::VARCHAR, + )), + DataType::List(_) => Err(py_datafusion_err(DataFusionError::NotImplemented(format!( + "{:?}", + arrow_type + )))), + DataType::FixedSizeList(_, _) => Err(py_datafusion_err( + DataFusionError::NotImplemented(format!("{:?}", arrow_type)), + )), + DataType::LargeList(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Struct(_) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Union(_, _, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Dictionary(_, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Decimal128(_, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Decimal256(_, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::Map(_, _) => Err(py_datafusion_err(DataFusionError::NotImplemented( + format!("{:?}", arrow_type), + ))), + DataType::RunEndEncoded(_, _) => Err(py_datafusion_err( + DataFusionError::NotImplemented(format!("{:?}", arrow_type)), + )), + } + } +} + +#[pymethods] +impl DataTypeMap { + #[new] + pub fn py_new(arrow_type: PyDataType, python_type: PythonType, sql_type: SqlType) -> Self { + DataTypeMap { + arrow_type, + python_type, + sql_type, + } + } + + #[staticmethod] + #[pyo3(name = "arrow")] + pub fn py_map_from_arrow_type(arrow_type: &PyDataType) -> PyResult<DataTypeMap> { + DataTypeMap::map_from_arrow_type(&arrow_type.data_type) + } + + #[staticmethod] + #[pyo3(name = "sql")] + pub fn map_from_sql_type(sql_type: &SqlType) -> PyResult<DataTypeMap> { + match sql_type { + SqlType::ANY => Err(py_datafusion_err(DataFusionError::NotImplemented(format!( + "{:?}", + sql_type + )))), + SqlType::ARRAY => Err(py_datafusion_err(DataFusionError::NotImplemented(format!( + "{:?}", + sql_type + )))), + SqlType::BIGINT => Ok(DataTypeMap::new( + DataType::Int64, + PythonType::Float, Review Comment: I don't have time now to read the Python docs but I noticed that it inconsistent with https://github.com/apache/arrow-datafusion-python/pull/173/files#diff-a109fe9b61a82ff498f40948cfa040798d7d40213c7df7669df526f914b22a04R82-R86 and added this suggestion. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
