Convert Parquet to CSV
Convert Parquet to CSV in seconds with this free online Parquet to CSV converter
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Parquet
Apache Parquet (.parquet) is a format that was designed for storing tabular data on disk. It was designed based on the format used in Google's Dremel paper (Dremel later became Big Query).
Parquet files store data in a binary format, which means that they can be efficiently read by computers but are difficult for people to read.
Parquet files have a schema, so means that every value in a column must have the same type. The schema makes Parquet files easier to analyse than CSV files and also helps them to have better compression so they are smaller on disk.
CSV
CSV (Comma Separated Values) files are the most common format for storing tabular data. Values in a row are separated by commas and rows are separated by newlines.
CSQ files often start with a header row that has column names, but this is not required.
Each row in a CSV file must have the same number of values as the header row.
CSV files do no enforce types or a schema. This means that each column can have multiple types, which can make analysis difficult and compression inefficient.
Parquet files can be easier to analyze and compress better than CSV files.
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How to Convert Parquet to CSV
- Select your input Parquet file
- Your Parquet file will be converted to CSV
- Download your CSV file
- Click the View button to view your file
How to Convert Parquet to CSV in Python
We can convert Parquet to CSV in Python using Pandas or DuckDB
How to Convert Parquet to CSV using Pandas
First, we need to install pandas
pip install pandasThen we can load the Parquet file into a dataframe
df = pd.read_parquet('path/to/file.parquet')Finally, we can export the dataframe to the CSV format
df.to_csv('/path/to/file.csv', index=False)How to Convert Parquet to CSV using DuckDB
First, we need to install duckdb for Python
pip install duckdbThe following duckdb query will copy the contents of a single Parquet file to a CSV file
duckdb.sql("""COPY (select * from 'path/to/file.parquet') TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")If you have more than one Parquet file with the same schema (e.g. your Parquet files are partitioned) then you can use the following
duckdb.sql("""COPY (select * from read_parquet(['path/to/file1.parquet', 'path/to/file2.parquet'])) TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")What are Parquet and CSV Formats
Parquet is an efficient file format used by a lot of data processing frameworks. But it cannot easily be used on personal computers because there are not many programs to interpret them.
A CSV file is often more useful than a Parquet file because it is easily understood by a lot of applications. Data stored in a CSV file does not compress very efficiently, so it is not as useful for storing large datasets.
Use this tool to convert a Parquet file to a CSV file.
When to Use a CSV File Instead of a Parquet File
Parquet is a columnar file format for storing tabular data. It compresses well, which makes Parquet files good for storing tabular data in data storage.
Many data processing systems use the Parquet file format because it has efficient data compression and can be easily converted to the Apache Arrow data format.
CSV files are easily read by computer and text editors. This makes the CSV format useful for uploading to other systems. CSV data does not compress well, so it is not as useful as Parquet files for putting into data storage.
A CSV file is more useful than a Parquet file when you need to upload data to different systems or applications.
Parquet files are more useful than CSV files when you need to compress and store data.
You can convert Parquet to CSV using the Parquet to CSV converter at the top of this page.
Can we convert Parquet file to CSV
Yes, with this Parquet to CSV converter you can convert your Parquet file to a CSV file.
You can also use the Parquet Viewer to view your file, or visit Explore to explore the data in your file.
Is Parquet similar to CSV
Parquet and CSV are both used for storing tabular data, so in some ways they are similar.
CSV files are stored in plaintext, which means that lots of different kinds of software can open them. Parquet files are stored as binary data, which means you will need special software to open and view them. You can use the Parquet Viewer to open and view your parquet file.
Parquet files compress really well and are easy to analyse because they:
- have a predefined schema
- use columnar storage format
If you have lots of data then Parquet file format can be a better choice than storing your data as a CSV. If you only have a small amount of data and want to open your data with different kinds of software then the CSV format can be a better choice.
Parquet Tools
Use these Parquet Tools to work with Parquet files on Windows, Mac, Linux, ChromeOS and Android.
Parquet Viewer
View and filter Parquet files
Query Parquet With SQL
Write SQL to query your Parquet File
Explore
Find correlations in your Parquet File
Convert
File format converter
Parquet Compression Viewer
View the compression of a parquet file
Parquet Data Types Viewer
View the data types of a parquet file
Parquet Encoding Viewer
View the encoding of a parquet file
Parquet Metadata Viewer
View the metadata of a parquet file
Parquet Row Groups Viewer
View the row groups of a parquet file
Parquet Schema Viewer
View the schema a parquet file
Sample Parquet File
Download a sample parquet file for testing