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Add JOB benchmark dataset [1/N] (imdb dataset) (#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 | ||
| 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), | ||
| } | ||
|
|
||
| #[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. | ||
|
|
||
| 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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