The tap-smoke-test extractor pulls data from Smoke Test that can then be sent to a destination using a loader.
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
-
Add the tap-smoke-test extractor to your
project using
:meltano add
-
Configure the tap-smoke-test
settings using
:meltano config
-
Test that extractor settings are valid using
:meltano config
meltano add extractor tap-smoke-test
meltano config tap-smoke-test set --interactive
meltano config tap-smoke-test test
Next steps
Follow the remaining steps of the Getting Started guide:
If you run into any issues, learn how to get help.
Capabilities
The current capabilities for
tap-smoke-test
may have been automatically set when originally added to the Hub. Please review the
capabilities when using this extractor. If you find they are out of date, please
consider updating them by making a pull request to the YAML file that defines the
capabilities for this extractor.
This plugin has the following capabilities:
- about
- batch
- catalog
- discover
- schema-flattening
- state
- stream-maps
You can
override these capabilities or specify additional ones
in your meltano.yml
by adding the capabilities
key.
Settings
The
tap-smoke-test
settings that are known to Meltano are documented below. To quickly
find the setting you're looking for, click on any setting name from the list:
You can also list these settings using
with the meltano config
list
subcommand:
meltano config tap-smoke-test list
You can
override these settings or specify additional ones
in your meltano.yml
by adding the settings
key.
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.
Schema Inference Record Count (schema_inference_record_count)
-
Environment variable:
TAP_SMOKE_TEST_SCHEMA_INFERENCE_RECORD_COUNT
-
Default Value:
5
How many records of the source data should be used for schema inference/construction.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set schema_inference_record_count [value]
Streams (streams)
-
Environment variable:
TAP_SMOKE_TEST_STREAMS
An array of objects containing:
stream_name
: The name of the stream.input_filename
: Path to a jsonl file containing records to use for mock data.client_exception
: (Default False) Whether we should simulate failing by having the client raise an exception.schema_gen_exception
: (Default False) Whether we should simulate failing by raising an exception during schema inference.loop_count
: (Default 1) The number of times we should playback the input file.
For example:
streams:
- stream_name: animals
input_filename: https://raw.githubusercontent.com/meltano/tap-smoke-test/main/demo-data/animals-data.jsonl
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set streams [value]
Expand To Show SDK Settings
Batch Compression Format (batch_config.encoding.compression)
-
Environment variable:
TAP_SMOKE_TEST_BATCH_CONFIG_ENCODING_COMPRESSION
Compression format to use for batch files.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set batch_config encoding.compression [value]
Batch Encoding Format (batch_config.encoding.format)
-
Environment variable:
TAP_SMOKE_TEST_BATCH_CONFIG_ENCODING_FORMAT
Format to use for batch files.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set batch_config encoding.format [value]
Batch Storage Prefix (batch_config.storage.prefix)
-
Environment variable:
TAP_SMOKE_TEST_BATCH_CONFIG_STORAGE_PREFIX
Prefix to use when writing batch files.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set batch_config storage.prefix [value]
Batch Storage Root (batch_config.storage.root)
-
Environment variable:
TAP_SMOKE_TEST_BATCH_CONFIG_STORAGE_ROOT
Root path to use when writing batch files.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set batch_config storage.root [value]
Faker Locale (faker_config.locale)
-
Environment variable:
TAP_SMOKE_TEST_FAKER_CONFIG_LOCALE
One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set faker_config locale [value]
Faker Seed (faker_config.seed)
-
Environment variable:
TAP_SMOKE_TEST_FAKER_CONFIG_SEED
Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set faker_config seed [value]
Enable Schema Flattening (flattening_enabled)
-
Environment variable:
TAP_SMOKE_TEST_FLATTENING_ENABLED
'True' to enable schema flattening and automatically expand nested properties.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set flattening_enabled [value]
Max Flattening Depth (flattening_max_depth)
-
Environment variable:
TAP_SMOKE_TEST_FLATTENING_MAX_DEPTH
The max depth to flatten schemas.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set flattening_max_depth [value]
User Stream Map Configuration (stream_map_config)
-
Environment variable:
TAP_SMOKE_TEST_STREAM_MAP_CONFIG
User-defined config values to be used within map expressions.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set stream_map_config [value]
Stream Maps (stream_maps)
-
Environment variable:
TAP_SMOKE_TEST_STREAM_MAPS
Config object for stream maps capability. For more information check out Stream Maps.
Configure this setting directly using the following Meltano command:
meltano config tap-smoke-test set stream_maps [value]
Something missing?
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Edit it on GitHub!Looking for help?
#plugins-general
channel.