GH-43745: Add lz4-hadoop compressed parquet file with multiple blocks

[Polepoint]

This is the data to reproduce https://github.com/apache/arrow/issues/43745.

The parquet file is generated with this script

import org.apache.hadoop.fs.Path;
import org.apache.parquet.example.data.Group;
import org.apache.parquet.example.data.GroupFactory;
import org.apache.parquet.example.data.simple.SimpleGroupFactory;
import org.apache.parquet.hadoop.ParquetFileWriter;
import org.apache.parquet.hadoop.ParquetReader;
import org.apache.parquet.hadoop.ParquetWriter;
import org.apache.parquet.hadoop.example.ExampleParquetWriter;
import org.apache.parquet.hadoop.example.GroupReadSupport;
import org.apache.parquet.hadoop.metadata.CompressionCodecName;
import org.apache.parquet.schema.MessageType;
import org.apache.parquet.schema.MessageTypeParser;

import java.io.IOException;
import java.util.UUID;

public class ParquetGenerator {

    public static void main(String... args) {
        MessageType schema = MessageTypeParser.parseMessageType(
                "message example {\n" +
                        "  required binary a (STRING);\n" +
                        "}"
        );

        GroupFactory factory = new SimpleGroupFactory(schema);
        ParquetWriter<Group> writer;
        try {
            writer = ExampleParquetWriter.builder(new Path("parquet-testing/data/hadoop_lz4_compressed_block_split.parquet"))
                    .withWriteMode(ParquetFileWriter.Mode.CREATE)
                    .withCompressionCodec(CompressionCodecName.LZ4)
                    .config("io.compression.codec.lz4.buffersize", "65536")
                    .withType(schema)
                    .build();
            for (int i = 0; i < 65536; i++) {
                Group group = factory.newGroup();
                group.add("a", UUID.randomUUID().toString());
                writer.write(group);
            }
            writer.close();
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }
}