parquet31.5 KB
E-commerce Orders (Parquet, 2000 rows)
The e-commerce orders table as Apache Parquet — the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
Preview — schema + first 8 rowsparquet
| order_id | customer_id | product_id | quantity | total | status | order_date |
|---|---|---|---|---|---|---|
| 1 | 150 | 171 | 2 | 705.98 | paid | 2025-10-19 |
| 2 | 174 | 36 | 1 | 25.59 | refunded | 2025-06-09 |
| 3 | 31 | 1 | 2 | 444.46 | shipped | 2025-04-27 |
| 4 | 293 | 51 | 4 | 881.44 | delivered | 2025-08-22 |
| 5 | 431 | 127 | 3 | 1105.89 | shipped | 2025-03-12 |
| 6 | 295 | 190 | 5 | 234.85 | delivered | 2025-05-03 |
| 7 | 336 | 52 | 5 | 2229.65 | refunded | 2025-05-26 |
| 8 | 236 | 54 | 4 | 207 | pending | 2025-04-29 |
Decoded Parquet — first 8 of 2000 rows.
Specifications
- Rows
- 2000
- Columns
- 7
- Format
- Apache Parquet
- Domain
- e-commerce
Related files
- csvE-commerce Customers (CSV, 500 rows)A realistic e-commerce customer directory (500 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- csvE-commerce Products (CSV, 200 rows)A realistic e-commerce product catalogue (200 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- parquetE-commerce Products (Parquet, 200 rows)The e-commerce products table as Apache Parquet — the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
- avroAvro — Row Binary + SchemaThe same records as Apache Avro — a compact row-based binary format that embeds its own schema, widely used in Kafka pipelines. For testing Avro decoders and schema evolution.
- featherFeather — Arrow IPC TableThe same table as Feather (Arrow IPC file) — the zero-copy on-disk form of an Apache Arrow table. For testing Arrow readers and fast columnar interchange.
- h5HDF5 — Hierarchical Scientific DataA small HDF5 file with a compound 'employees' dataset and a numeric 'readings' grid — the hierarchical format used across science and ML. For testing h5py/HDF5 readers and conversion.
Generated by generation/data_realworld.py. Free for any use, no attribution required — license.