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Posted to github@arrow.apache.org by "jdye64 (via GitHub)" <gi...@apache.org> on 2023/02/10 18:57:13 UTC
[GitHub] [arrow-datafusion-python] jdye64 commented on a diff in pull request #173: Arrow type bindings
jdye64 commented on code in PR #173:
URL: https://github.com/apache/arrow-datafusion-python/pull/173#discussion_r1103120368
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src/common/data_type.rs:
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@@ -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 should have left a comment on this. This also wasn't what I thought but seems like a BIGINT wouldn't fit in a Python int and that a float should be used? I really don't know I was just going off of this [information](https://learn.microsoft.com/en-us/sql/machine-learning/python/python-libraries-and-data-types?view=sql-server-ver16) what do you think @martin-g
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