msgpack619 B
MessagePack — Binary JSON
The records as MessagePack — a compact binary serialization that maps onto the JSON data model, common in caches and RPC. For testing MessagePack codecs and JSON↔MessagePack conversion.
Preview — schema + first 5 rowsmsgpack
| idint64 | namestring | emailstring | departmentstring | activebool | scoredouble | joineddate |
|---|---|---|---|---|---|---|
| 1001 | Ada Lovelace | ada.lovelace@example.com | Engineering | true | 98.5 | 2021-03-01 |
| 1002 | Alan Turing | alan.turing@example.com | Research | true | 95 | 2020-06-15 |
| 1003 | Grace Hopper | grace.hopper@example.com | Engineering | false | 91.2 | 2019-11-20 |
| 1004 | Katherine Johnson | katherine.johnson@example.com | Operations | true | 96.8 | 2022-01-10 |
| 1005 | Edsger Dijkstra | edsger.dijkstra@example.com | Research | false | 89.4 | 2018-09-05 |
Decoded table — all 5 rows shown.
Specifications
- Rows
- 5
- Columns
- 7
- Format
- MessagePack
- Model
- document
Related files
- pbProtobuf — Encoded MessageA single protobuf User message in binary wire format (varint + length-delimited fields) — the serialized counterpart to the user.proto schema. For testing protobuf decoders without the generated code.
- 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.
- dbfDBF — dBase / xBase TableThe employee table as a dBase (DBF) file — the venerable xBase table format still emitted by GIS tools and legacy databases. For testing DBF readers and DBF→CSV conversion.
- 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.
- orcORC — Columnar TableThe same employee table as Apache ORC — the columnar format common in the Hive/Hadoop ecosystem. For testing ORC readers and Parquet↔ORC conversion.
Generated by generation/data_binary.py. Free for any use, no attribution required — license.