Parquet Metadata Reader
View the metadata of your Parquet files in one click. No server-side processing, everything happens in your browser. To view the Parquet Schema, check out our Parquet Schema Reader tool.
Quick Start
- 1Load your Parquet file
Drag-and-drop a Parquet file or click to browse. Parsing stays on your device.
- 2Inspect file metadata
View overall file information including schema, row count, and row group locations.
- 3Explore row groups and columns
Drill into row group metadata, column chunk details, compression, encodings, and statistics.
- 4Use the insights
Optimize queries, plan data skipping strategies, or jump to the Schema Reader for structural analysis.
Specs
- Max file size
- ~500 MB
- Input
- .parquet
- Engine
- DuckDB WASM
Data stays on your device
All processing runs locally in your browser. Nothing is sent to any server.
Our Parquet metadata reader uses WebAssembly to parse and display Parquet file metadata directly in your browser. Explore row groups, column chunks, compression stats, encodings, and min/max statistics — all without installing software or uploading data.
~500 MB
Max file size
0 bytes
Data transmitted
11 displayed
Metadata fields
100% Free
Our Parquet metadata reader is completely free to use, with no hidden costs or subscriptions.
Privacy-Focused
Your data never leaves your device. All processing happens locally in your browser.
Fast and Efficient
Instantly parse even large Parquet files and display their full metadata.
No Installation Required
Use the metadata reader directly in your web browser — no software needed.
Is this metadata reader private?
Yes. The reader runs entirely in your browser, so your Parquet files never leave your machine.
What metadata fields are displayed?
It shows file name, row group IDs, row counts, column IDs, schema paths, data types, min/max stats, compression methods, encodings, and compressed/uncompressed sizes.
Can I use this offline?
Yes. Once the page finishes loading, you can disconnect and continue reading metadata offline.
What is the difference between metadata and schema?
Schema shows the structural field definitions, while metadata includes row group statistics, compression details, column chunk sizes, and encoding information.
Understanding Parquet File Structure and Metadata
Parquet files use a hierarchical structure that optimizes both storage and query performance. Understanding this structure and its metadata is crucial for efficient data processing.
Row Groups
Horizontal partitions of data, each containing a subset of rows from the file.
Column Chunks
Data for specific columns within each row group, optimized for columnar access.
Pages
Smallest storage units in Parquet, containing encoded data values within column chunks.
Parquet Metadata Levels
File Metadata
Overall file information, including schema, number of rows, and row group locations.
Row Group Metadata
Information about each row group, such as the number of rows and column chunk locations.
Column Chunk Metadata
Details about each column chunk, including data type, encoding, compression, and statistics.
Page Header Metadata
Information about individual pages within column chunks, such as encoding and compression details.
Key Metadata Fields
file_name
Name of the Parquet file
row_group_id
Unique identifier for each row group
row_group_num_rows
Number of rows in each row group
column_id
Identifier for each column within a row group
path_in_schema
Column name in the file schema
type
Data type of the column
stats_min, stats_max
Minimum and maximum values in the column chunk
compression
Compression method used for the column chunk
encodings
Encoding methods used for the column chunk data
total_compressed_size
Size of the compressed column chunk
total_uncompressed_size
Size of the uncompressed column chunk
Benefits of Understanding Parquet Metadata
Optimize query performance using statistics
Implement efficient data skipping
Understand data distribution
Plan data processing strategies
Troubleshoot performance issues