json4.8 KB

SaaS Product Events (JSON)

Synthetic product-analytics events (signup/login/upgrade) for testing event pipelines and warehouse loads. JSON twin.

Preview — first 50 linesjson

[
  {
    "event_id": "evt_0001",
    "ts": "2026-01-10T09:00:00Z",
    "user_id": "usr_001",
    "event": "signup",
    "plan": "free",
    "properties": "{\"source\": \"sample\", \"i\": 0}"
  },
  {
    "event_id": "evt_0002",
    "ts": "2026-01-10T09:17:00Z",
    "user_id": "usr_002",
    "event": "login",
    "plan": "pro",
    "properties": "{\"source\": \"sample\", \"i\": 1}"
  },
  {
    "event_id": "evt_0003",
    "ts": "2026-01-10T09:34:00Z",
    "user_id": "usr_003",
    "event": "feature_used",
    "plan": "team",
    "properties": "{\"source\": \"sample\", \"i\": 2}"
  },
  {
    "event_id": "evt_0004",
    "ts": "2026-01-10T09:51:00Z",
    "user_id": "usr_004",
    "event": "upgrade",
    "plan": "free",
    "properties": "{\"source\": \"sample\", \"i\": 3}"
  },
  {
    "event_id": "evt_0005",
    "ts": "2026-01-10T10:08:00Z",
    "user_id": "usr_005",
    "event": "cancel",
    "plan": "pro",
    "properties": "{\"source\": \"sample\", \"i\": 4}"
  },
  {
    "event_id": "evt_0006",
    "ts": "2026-01-10T10:25:00Z",
    "user_id": "usr_006",
    "event": "invite_sent",
    "plan": "team",
    "properties": "{\"source\": \"sample\", \"i\": 5}"
  },
  {

… 195 lines total — download for the full file.

Specifications

Records: 24
Schema: event_id, ts, user_id, event, plan, properties

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“SaaS Product Events (JSON)” is a deterministic Novus Examples fixture for Data import, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 24 records · schema: event_id, ts, user_id, event, plan, properties. 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.

Code examples

import json

with open("product-events.json") as f:
    data = json.load(f)
print(type(data), len(data))

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

Specifications

What is a .json file?

How to use this file

How to use this file for testing

Code examples

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