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bson778 B

BSON: Binary JSON (MongoDB)

The records as BSON: the binary-JSON encoding MongoDB stores documents in. For testing BSON decoders and JSON↔BSON conversion.

Preview: schema + first 5 rowsbson
idint64namestringemailstringdepartmentstringactiveboolscoredoublejoineddate
1001Ada Lovelaceada.lovelace@example.comEngineeringtrue98.52021-03-01
1002Alan Turingalan.turing@example.comResearchtrue952020-06-15
1003Grace Hoppergrace.hopper@example.comEngineeringfalse91.22019-11-20
1004Katherine Johnsonkatherine.johnson@example.comOperationstrue96.82022-01-10
1005Edsger Dijkstraedsger.dijkstra@example.comResearchfalse89.42018-09-05
Decoded table: all 5 rows shown.

Specifications

Rows
5
Columns
7
Format
BSON
Model
document

Testing contract

Expected to pass
Scenario
Exercise BSON: Binary JSON (MongoDB) in its binary workflow. The records as BSON: the binary-JSON encoding MongoDB stores documents in.
Expected result
root type=dict; root item count=1; first keys/values=['employees']. Declared feature checks: columns=7; model=document.

What is a .bson file?

BSON (Binary JSON, .bson) is the binary-encoded serialization MongoDB uses to store documents. It extends JSON with typed values (ObjectId, dates, binary, decimal128) and length-prefixed fields for fast traversal.

How to use this file

Use an example .bson file to test BSON parsers, MongoDB import/export (mongodump/mongorestore), and BSON-to-JSON conversion.

How to use this file for testing

“BSON: Binary JSON (MongoDB)” is a deterministic Testaroo fixture for Conversion testing, Serialization testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: 5 rows · 7 columns · BSON. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Generated by generation/data_binary.py. Free for any use, no attribution required, license.