What are the pros and cons of the Apache Parquet format compared …
Apr 24, 2016 · 30,36,2 Parquet files are most commonly compressed with the Snappy compression algorithm. Snappy compressed files are splittable and quick to inflate. Big data systems want to …
Reading / Fixing a corrupt parquet file - Stack Overflow
Sep 3, 2024 · Reading / Fixing a corrupt parquet file Asked 1 year, 4 months ago Modified 7 months ago Viewed 2k times
Is it possible to read parquet files in chunks? - Stack Overflow
Nov 29, 2019 · The Parquet format stores the data in chunks, but there isn't a documented way to read in it chunks like read_csv. Is there a way to read parquet files in chunks?
What file extension is the correct way to name parquet files?
Jun 3, 2025 · <file-name>.parquet : 1) This is the standard and most widely accepted naming convention. 2) The compression codec is stored in the Parquet file metadata, not in the filename. 3) …
Extension of Apache parquet files, is it '.pqt' or '.parquet'?
Oct 19, 2021 · I wonder if there is a consensus regarding the extension of parquet files. I have seen a shorter .pqt extension, which has typical 3-letters (like in csv, tsv, txt, etc) and then there is a rather …
Power Query Editor - Import .Parquet File - Stack Overflow
Sep 18, 2023 · How can I convert an imported .parquet file correctly, using Excel's Power Query Editor? Are there drivers available for this in Excel?
How to view Apache Parquet file in Windows? [closed]
Jun 19, 2018 · 99 What is Apache Parquet? Apache Parquet is a binary file format that stores data in a columnar fashion. Data inside a Parquet file is similar to an RDBMS style table where you have …
indexing - Index in Parquet - Stack Overflow
Basically Parquet has added two new structures in parquet layout - Column Index and Offset Index. Below is a more detailed technical explanation what it solves and how. Problem Statement In the …
How to read a Parquet file into Pandas DataFrame?
How to read a modestly sized Parquet data-set into an in-memory Pandas DataFrame without setting up a cluster computing infrastructure such as Hadoop or Spark? This is only a moderate amount of data …
Is it better to have one large parquet file or lots of smaller parquet ...
Mar 21, 2017 · The only downside of larger parquet files is it takes more memory to create them. So you can watch out if you need to bump up Spark executors' memory. row groups are a way for Parquet …