parquet 58.3.0

Apache Parquet implementation in Rust
Documentation 
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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::sync::Arc;

use arrow_array::builder::BinaryBuilder;
use arrow_array::{ArrayRef, RecordBatch};
use arrow_schema::{DataType, Field, Schema};

use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder;
use parquet::arrow::arrow_writer::ArrowWriter;
use parquet::basic::Encoding;
use parquet::file::properties::WriterProperties;

use tempfile::tempfile;

/// Number of rows written
const ROWS: usize = 1024;

/// Size of each binary value (~3MB)
/// 1024 * 3MB ≈ 3GB total → guaranteed offset overflow for i32
const VALUE_SIZE: usize = 3 * 1024 * 1024;

fn make_large_binary_array() -> ArrayRef {
    let mut builder = BinaryBuilder::new();

    for _ in 0..ROWS {
        let data = vec![b'a'; VALUE_SIZE];
        builder.append_value(&data);
    }

    Arc::new(builder.finish()) as ArrayRef
}

fn write_parquet_with_encoding(array: ArrayRef, encoding: Encoding) -> std::fs::File {
    let schema = Arc::new(Schema::new(vec![Field::new(
        "col",
        DataType::Binary,
        false,
    )]));

    let batch = RecordBatch::try_new(schema.clone(), vec![array]).unwrap();

    let file = tempfile().unwrap();

    let builder = WriterProperties::builder();
    let builder = match encoding {
        Encoding::RLE_DICTIONARY => builder.set_dictionary_enabled(true),
        _ => builder.set_dictionary_enabled(false).set_encoding(encoding),
    };

    let props = builder.build();

    let mut writer = ArrowWriter::try_new(file.try_clone().unwrap(), schema, Some(props)).unwrap();

    writer.write(&batch).unwrap();
    writer.close().unwrap();

    file
}

#[test]
// Panics until https://github.com/apache/arrow-rs/issues/7973 is fixed
#[should_panic(expected = "byte array offset overflow")]
fn large_binary_plain_encoding_overflow() {
    let array = make_large_binary_array();
    let file = write_parquet_with_encoding(array, Encoding::PLAIN);

    let mut reader = ParquetRecordBatchReaderBuilder::try_new(file)
        .unwrap()
        .build()
        .unwrap();

    let _ = reader.next().unwrap();
}

#[test]
// Panics until https://github.com/apache/arrow-rs/issues/7973 is fixed
#[should_panic(expected = "byte array offset overflow")]
fn large_binary_delta_length_encoding_overflow() {
    let array = make_large_binary_array();
    let file = write_parquet_with_encoding(array, Encoding::DELTA_LENGTH_BYTE_ARRAY);

    let mut reader = ParquetRecordBatchReaderBuilder::try_new(file)
        .unwrap()
        .build()
        .unwrap();

    let _ = reader.next().unwrap();
}

#[test]
// Panics until https://github.com/apache/arrow-rs/issues/7973 is fixed
#[should_panic(expected = "byte array offset overflow")]
fn large_binary_delta_byte_array_encoding_overflow() {
    let array = make_large_binary_array();
    let file = write_parquet_with_encoding(array, Encoding::DELTA_BYTE_ARRAY);

    let mut reader = ParquetRecordBatchReaderBuilder::try_new(file)
        .unwrap()
        .build()
        .unwrap();

    let _ = reader.next().unwrap();
}

#[test]
// Panics until https://github.com/apache/arrow-rs/issues/7973 is fixed
#[should_panic(expected = "byte array offset overflow")]
fn large_binary_rle_dictionary_encoding_overflow() {
    let array = make_large_binary_array();
    let file = write_parquet_with_encoding(array, Encoding::RLE_DICTIONARY);

    let mut reader = ParquetRecordBatchReaderBuilder::try_new(file)
        .unwrap()
        .build()
        .unwrap();

    let _ = reader.next().unwrap();
}