Convert Parquet to CSV

Apache Parquet is a columnar storage format that works great with big data processing frameworks. It compresses and encodes data efficiently, which saves a lot of storage space and makes reading data faster.

Parquet can handle complex nested data structures. It lets you query and work with specific columns without having to read the entire dataset.

Compression

Parquet supports several compression algorithms like Snappy, Gzip, and LZO. These compression techniques help reduce storage space and speed up data processing tasks.

Comma-separated values (CSV) is a simple and popular format for storing tabular data. It's easy to read and create, making it a go-to choice for many.

Row delimiter

The row delimiter separates each row in the CSV data. It's usually a new line character (LF) or a carriage return plus a new line character (CRLF).

We'll automatically detect and parse the rows correctly, so you don't need to worry about it.

Value separator

The value separator splits each value within a row.

For CSV files, it's typically a comma, but it can vary depending on the software used to create the file. We support these separators:

• Comma ,
• Tab \t
• Pipe |
• Hash #
• Semicolon ;

Character encoding

The character encoding of your CSV file might differ based on the software you used to create it.

If you're not sure about the character encoding, don't worry. We'll try to guess it automatically if it's not specified.