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Add JOB benchmark dataset [1/N] (imdb dataset) (apache#12497)
* imdb dataset * cargo fmt * we should also extrac the tar after download * we should not skip last col
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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. | ||
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//! IMDB binary entrypoint | ||
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use datafusion::error::Result; | ||
use datafusion_benchmarks::imdb; | ||
use structopt::StructOpt; | ||
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#[cfg(all(feature = "snmalloc", feature = "mimalloc"))] | ||
compile_error!( | ||
"feature \"snmalloc\" and feature \"mimalloc\" cannot be enabled at the same time" | ||
); | ||
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#[cfg(feature = "snmalloc")] | ||
#[global_allocator] | ||
static ALLOC: snmalloc_rs::SnMalloc = snmalloc_rs::SnMalloc; | ||
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#[cfg(feature = "mimalloc")] | ||
#[global_allocator] | ||
static ALLOC: mimalloc::MiMalloc = mimalloc::MiMalloc; | ||
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#[derive(Debug, StructOpt)] | ||
#[structopt(name = "IMDB", about = "IMDB Dataset Processing.")] | ||
enum ImdbOpt { | ||
Convert(imdb::ConvertOpt), | ||
} | ||
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#[tokio::main] | ||
pub async fn main() -> Result<()> { | ||
env_logger::init(); | ||
match ImdbOpt::from_args() { | ||
ImdbOpt::Convert(opt) => opt.run().await, | ||
} | ||
} |
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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. | ||
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use datafusion::dataframe::DataFrameWriteOptions; | ||
use datafusion_common::instant::Instant; | ||
use std::path::PathBuf; | ||
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use datafusion::error::Result; | ||
use datafusion::prelude::*; | ||
use structopt::StructOpt; | ||
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use datafusion::common::not_impl_err; | ||
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use super::get_imdb_table_schema; | ||
use super::IMDB_TABLES; | ||
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#[derive(Debug, StructOpt)] | ||
pub struct ConvertOpt { | ||
/// Path to csv files | ||
#[structopt(parse(from_os_str), required = true, short = "i", long = "input")] | ||
input_path: PathBuf, | ||
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/// Output path | ||
#[structopt(parse(from_os_str), required = true, short = "o", long = "output")] | ||
output_path: PathBuf, | ||
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/// Output file format: `csv` or `parquet` | ||
#[structopt(short = "f", long = "format")] | ||
file_format: String, | ||
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/// Batch size when reading CSV or Parquet files | ||
#[structopt(short = "s", long = "batch-size", default_value = "8192")] | ||
batch_size: usize, | ||
} | ||
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impl ConvertOpt { | ||
pub async fn run(self) -> Result<()> { | ||
let input_path = self.input_path.to_str().unwrap(); | ||
let output_path = self.output_path.to_str().unwrap(); | ||
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for table in IMDB_TABLES { | ||
let start = Instant::now(); | ||
let schema = get_imdb_table_schema(table); | ||
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let input_path = format!("{input_path}/{table}.csv"); | ||
let output_path = format!("{output_path}/{table}.parquet"); | ||
let options = CsvReadOptions::new() | ||
.schema(&schema) | ||
.has_header(false) | ||
.delimiter(b',') | ||
.escape(b'\\') | ||
.file_extension(".csv"); | ||
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let config = SessionConfig::new().with_batch_size(self.batch_size); | ||
let ctx = SessionContext::new_with_config(config); | ||
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let mut csv = ctx.read_csv(&input_path, options).await?; | ||
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// Select all apart from the padding column | ||
let selection = csv | ||
.schema() | ||
.iter() | ||
.take(schema.fields.len()) | ||
.map(Expr::from) | ||
.collect(); | ||
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csv = csv.select(selection)?; | ||
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println!( | ||
"Converting '{}' to {} files in directory '{}'", | ||
&input_path, self.file_format, &output_path | ||
); | ||
match self.file_format.as_str() { | ||
"csv" => { | ||
csv.write_csv( | ||
output_path.as_str(), | ||
DataFrameWriteOptions::new(), | ||
None, | ||
) | ||
.await?; | ||
} | ||
"parquet" => { | ||
csv.write_parquet( | ||
output_path.as_str(), | ||
DataFrameWriteOptions::new(), | ||
None, | ||
) | ||
.await?; | ||
} | ||
other => { | ||
return not_impl_err!("Invalid output format: {other}"); | ||
} | ||
} | ||
println!("Conversion completed in {} ms", start.elapsed().as_millis()); | ||
} | ||
Ok(()) | ||
} | ||
} |
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