Parquet File Inspector

How to use the Parquet File Inspector

1. Drop a .parquet file onto the drop area, or click it to browse. Files up to 50 MB are supported.
2. Wait a moment while the file is read. Nothing is uploaded, so the time depends on your device and the file size.
3. Read the File Overview cards for the total row count, the number of columns, and the file name.
4. Check the Schema table. It lists every column in order with its data type and whether it allows nulls.
5. Scroll to the Data Preview to see the first 5 rows and confirm the values look right.

Worked example

A sales export saved as Parquet by a data pipeline. You want to confirm the columns and types before loading it somewhere else.

Input (sales.parquet, shown as a table)

sales.parquet  (1,250 rows, 4 columns)

order_id  order_date  region  amount
1         2024-03-01  North   120.00
2         2024-03-01  South   85.50
3         2024-03-02  North   42.25
...

What the inspector shows

File Overview
  Total Rows: 1,250    Columns: 4    File: sales

Schema
  #  Column Name  Data Type      Nullable
  1  order_id     BIGINT         YES
  2  order_date   DATE           YES
  3  region       VARCHAR        YES
  4  amount       DECIMAL(10,2)  YES

Data Preview (first 5 rows)
  order_id  order_date  region  amount
  1         2024-03-01  North   120.00
  2         2024-03-01  South   85.50
  3         2024-03-02  North   42.25
  ...

The row count comes from counting every row in the file. The schema shows the logical type of each column, so the amount column appears as DECIMAL(10,2) rather than as raw bytes. Parquet columns are usually optional, which is why Nullable reads YES.

Why inspect a Parquet file first