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datafusion_orc/
file_format.rs

1// Licensed to the Apache Software Foundation (ASF) under one
2// or more contributor license agreements.  See the NOTICE file
3// distributed with this work for additional information
4// regarding copyright ownership.  The ASF licenses this file
5// to you under the Apache License, Version 2.0 (the
6// "License"); you may not use this file except in compliance
7// with the License.  You may obtain a copy of the License at
8//
9//   http://www.apache.org/licenses/LICENSE-2.0
10//
11// Unless required by applicable law or agreed to in writing,
12// software distributed under the License is distributed on an
13// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
14// KIND, either express or implied.  See the License for the
15// specific language governing permissions and limitations
16// under the License.
17
18use std::collections::HashMap;
19use std::fmt::Debug;
20use std::sync::Arc;
21
22use datafusion::arrow::datatypes::{Schema, SchemaRef};
23use datafusion::common::Statistics;
24use datafusion::datasource::file_format::file_compression_type::FileCompressionType;
25use datafusion::datasource::file_format::FileFormat;
26use datafusion::datasource::physical_plan::{FileScanConfig, FileSource};
27use datafusion::datasource::table_schema::TableSchema;
28use datafusion::error::{DataFusionError, Result};
29use datafusion::object_store::path::Path;
30use datafusion::object_store::{ObjectMeta, ObjectStore};
31use datafusion::physical_plan::ExecutionPlan;
32use futures::TryStreamExt;
33use orc_rust::reader::metadata::read_metadata_async;
34
35use crate::OrcSource;
36use async_trait::async_trait;
37use datafusion::catalog::Session;
38use datafusion::datasource::source::DataSourceExec;
39use futures_util::StreamExt;
40
41use super::object_store_reader::ObjectStoreReader;
42
43async fn fetch_schema(store: &Arc<dyn ObjectStore>, file: &ObjectMeta) -> Result<(Path, Schema)> {
44    let loc_path = file.location.clone();
45    let mut reader = ObjectStoreReader::new(Arc::clone(store), file.clone());
46    let metadata = read_metadata_async(&mut reader)
47        .await
48        .map_err(|e| DataFusionError::External(Box::new(e)))?;
49    let schema = metadata
50        .root_data_type()
51        .create_arrow_schema(&HashMap::default());
52    Ok((loc_path, schema))
53}
54
55#[derive(Clone, Debug)]
56pub struct OrcFormat;
57
58#[async_trait]
59impl FileFormat for OrcFormat {
60    fn get_ext(&self) -> String {
61        "orc".to_string()
62    }
63
64    fn get_ext_with_compression(&self, _compression: &FileCompressionType) -> Result<String> {
65        Ok("orc".to_string())
66    }
67
68    fn compression_type(&self) -> Option<FileCompressionType> {
69        None
70    }
71
72    async fn infer_schema(
73        &self,
74        state: &dyn Session,
75        store: &Arc<dyn ObjectStore>,
76        objects: &[ObjectMeta],
77    ) -> Result<SchemaRef> {
78        let mut schemas: Vec<_> = futures::stream::iter(objects)
79            .map(|object| fetch_schema(store, object))
80            .boxed() // Workaround https://github.com/rust-lang/rust/issues/64552
81            .buffered(
82                state
83                    .config_options()
84                    .execution
85                    .meta_fetch_concurrency
86                    .into(),
87            )
88            .try_collect()
89            .await?;
90
91        // Schema inference adds fields based the order they are seen
92        // which depends on the order the files are processed. For some
93        // object stores (like local file systems) the order returned from list
94        // is not deterministic. Thus, to ensure deterministic schema inference
95        // sort the files first.
96        // https://github.com/apache/datafusion/pull/6629
97        schemas.sort_by(|(location1, _), (location2, _)| location1.cmp(location2));
98
99        let schemas = schemas
100            .into_iter()
101            .map(|(_, schema)| schema)
102            .collect::<Vec<_>>();
103
104        let schema = Schema::try_merge(schemas)?;
105
106        Ok(Arc::new(schema))
107    }
108
109    async fn infer_stats(
110        &self,
111        _state: &dyn Session,
112        _store: &Arc<dyn ObjectStore>,
113        table_schema: SchemaRef,
114        _object: &ObjectMeta,
115    ) -> Result<Statistics> {
116        Ok(Statistics::new_unknown(&table_schema))
117    }
118
119    async fn create_physical_plan(
120        &self,
121        _state: &dyn Session,
122        conf: FileScanConfig,
123    ) -> Result<Arc<dyn ExecutionPlan>> {
124        Ok(DataSourceExec::from_data_source(conf))
125    }
126
127    fn file_source(&self, table_schema: TableSchema) -> Arc<dyn FileSource> {
128        Arc::new(OrcSource::new(table_schema))
129    }
130}