| // 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 std::collections::HashMap; |
| |
| use paimon::spec::{DataField, TableSchema}; |
| use pyo3::prelude::*; |
| |
| #[pyclass(name = "TableSchema", module = "pypaimon_rust.datafusion")] |
| pub struct PyTableSchema { |
| inner: TableSchema, |
| } |
| |
| impl PyTableSchema { |
| pub fn new(inner: TableSchema) -> Self { |
| Self { inner } |
| } |
| } |
| |
| #[pymethods] |
| impl PyTableSchema { |
| fn fields(&self) -> Vec<PyDataField> { |
| self.inner |
| .fields() |
| .iter() |
| .cloned() |
| .map(PyDataField::new) |
| .collect() |
| } |
| |
| fn partition_keys(&self) -> Vec<String> { |
| self.inner.partition_keys().to_vec() |
| } |
| |
| fn primary_keys(&self) -> Vec<String> { |
| self.inner.primary_keys().to_vec() |
| } |
| |
| fn options(&self) -> HashMap<String, String> { |
| self.inner.options().clone() |
| } |
| |
| fn comment(&self) -> Option<String> { |
| self.inner.comment().map(str::to_string) |
| } |
| } |
| |
| #[pyclass(name = "DataField", module = "pypaimon_rust.datafusion")] |
| pub struct PyDataField { |
| inner: DataField, |
| } |
| |
| impl PyDataField { |
| pub fn new(inner: DataField) -> Self { |
| Self { inner } |
| } |
| } |
| |
| #[pymethods] |
| impl PyDataField { |
| fn name(&self) -> String { |
| self.inner.name().to_string() |
| } |
| |
| fn field_type(&self) -> String { |
| // TODO(#284 follow-up): mirror Java DataType.asSQLString() once |
| // a Display impl is added to paimon::spec::DataType. |
| format!("{:?}", self.inner.data_type()) |
| } |
| |
| fn is_nullable(&self) -> bool { |
| self.inner.data_type().is_nullable() |
| } |
| |
| fn description(&self) -> Option<String> { |
| self.inner.description().map(str::to_string) |
| } |
| } |