Smoke Test Source
The Smoke Test source generates synthetic test data for destination regression testing. It produces records across 15 predefined scenarios covering common destination failure patterns: type variations, null handling, naming edge cases, schema variations, and batch sizes.
All business logic lives in PyAirbyte's airbyte.cli.smoke_test_source module. This connector is a thin wrapper that delegates to it.
Features
| Feature | Supported |
|---|---|
| Full Refresh Sync | Yes |
| Incremental Sync | No |
Getting Started
This connector requires no configuration. It generates synthetic data deterministically.
Supported Streams
Fast Scenarios (default)
basic_types— string, integer, number, boolean (3 records)timestamp_types— date, datetime, epoch values (3 records)large_decimals_and_numbers— precision, large integers, boundary values (3 records)nested_json_objects— nested objects, arrays, deep nesting (2 records)null_handling— null across all types, always-null columns (3 records)column_naming_edge_cases— CamelCase, dashes, dots, spaces, SQL reserved words (1 record)table_naming_edge_cases— special characters in stream name (1 record)CamelCaseStreamName— CamelCase stream name handling (1 record)wide_table_50_columns— 50-column table with nullable strings (2 records)empty_stream— zero records (0 records)single_record_stream— exactly one record (1 record)unicode_and_special_strings— emoji, CJK, Cyrillic, escape sequences (4 records)schema_with_no_primary_key— append-only / no dedup (3 records)long_column_names— column names exceeding typical DB limits (1 record)
Slow Scenarios
large_batch_stream— 1000 records for batch/flush testing
Reference
Config fields reference
Field
Type
Property name
boolean
all_fast_streams
boolean
all_slow_streams
array<object>
custom_scenarios
integer
large_batch_record_count
stringnull
namespace
array<string>
scenario_filter
Changelog
Expand to review
| Version | Date | Pull Request | Subject |
|---|---|---|---|
| 0.1.0 | 2026-03-18 | 75181 | Initial release: smoke test source for destination regression testing |