use clap::Parser;
use parquet::column::writer::ColumnCloseResult;
use parquet::errors::{ParquetError, Result};
use parquet::file::metadata::ParquetMetaDataReader;
use parquet::file::properties::WriterProperties;
use parquet::file::writer::SerializedFileWriter;
use std::fs::File;
use std::sync::Arc;
#[derive(Debug, Parser)]
#[clap(author, version)]
struct Args {
output: String,
input: Vec<String>,
}
impl Args {
fn run(&self) -> Result<()> {
if self.input.is_empty() {
return Err(ParquetError::General(
"Must provide at least one input file".into(),
));
}
let output = File::create(&self.output)?;
let inputs = self
.input
.iter()
.map(|x| {
let reader = File::open(x)?;
let metadata = ParquetMetaDataReader::new().parse_and_finish(&reader)?;
Ok((reader, metadata))
})
.collect::<Result<Vec<_>>>()?;
let expected = inputs[0].1.file_metadata().schema();
for (_, metadata) in inputs.iter().skip(1) {
let actual = metadata.file_metadata().schema();
if expected != actual {
return Err(ParquetError::General(format!(
"inputs must have the same schema, {expected:#?} vs {actual:#?}"
)));
}
}
let props = Arc::new(WriterProperties::builder().build());
let schema = inputs[0].1.file_metadata().schema_descr().root_schema_ptr();
let mut writer = SerializedFileWriter::new(output, schema, props)?;
for (input, metadata) in inputs {
for rg in metadata.row_groups() {
let mut rg_out = writer.next_row_group()?;
for column in rg.columns() {
let result = ColumnCloseResult {
bytes_written: column.compressed_size() as _,
rows_written: rg.num_rows() as _,
metadata: column.clone(),
bloom_filter: None,
column_index: None,
offset_index: None,
};
rg_out.append_column(&input, result)?;
}
rg_out.close()?;
}
}
writer.close()?;
Ok(())
}
}
fn main() -> Result<()> {
Args::parse().run()
}