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parquet_sql_multiple_files.rs
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// 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::path::Path;
use std::sync::Arc;
use datafusion::datasource::file_format::parquet::ParquetFormat;
use datafusion::datasource::listing::ListingOptions;
use datafusion::prelude::*;
use object_store::local::LocalFileSystem;
/// This example demonstrates executing a simple query against an Arrow data source (a directory
/// with multiple Parquet files) and fetching results. The query is run twice, once showing
/// how to used `register_listing_table` with an absolute path, and once registering an
/// ObjectStore to use a relative path.
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// create local execution context
let ctx = SessionContext::new();
let test_data = datafusion::test_util::parquet_test_data();
// Configure listing options
let file_format = ParquetFormat::default().with_enable_pruning(true);
let listing_options = ListingOptions::new(Arc::new(file_format))
// This is a workaround for this example since `test_data` contains
// many different parquet different files,
// in practice use FileType::PARQUET.get_ext().
.with_file_extension("alltypes_plain.parquet");
// First example were we use an absolute path, which requires no additional setup.
ctx.register_listing_table(
"my_table",
&format!("file://{test_data}/"),
listing_options.clone(),
None,
None,
)
.await
.unwrap();
// execute the query
let df = ctx
.sql(
"SELECT * \
FROM my_table \
LIMIT 1",
)
.await?;
// print the results
df.show().await?;
// Second example were we temporarily move into the test data's parent directory and
// simulate a relative path, this requires registering an ObjectStore.
let cur_dir = std::env::current_dir()?;
let test_data_path = Path::new(&test_data);
let test_data_path_parent = test_data_path
.parent()
.ok_or("test_data path needs a parent")?;
std::env::set_current_dir(test_data_path_parent)?;
let local_fs = Arc::new(LocalFileSystem::default());
let u = url::Url::parse("file://./")?;
ctx.register_object_store(&u, local_fs);
// Register a listing table - this will use all files in the directory as data sources
// for the query
ctx.register_listing_table(
"relative_table",
"./data",
listing_options.clone(),
None,
None,
)
.await?;
// execute the query
let df = ctx
.sql(
"SELECT * \
FROM relative_table \
LIMIT 1",
)
.await?;
// print the results
df.show().await?;
// Reset the current directory
std::env::set_current_dir(cur_dir)?;
Ok(())
}