DynamoDB tap class.
Built with the Meltano Singer SDK.
catalog
state
discover
about
stream-maps
schema-flattening
Setting | Required | Default | Description |
---|---|---|---|
tables | False | None | An array of table names to extract from. |
infer_schema_sample_size | False | 100 | The amount of records to sample when inferring the schema. |
table_scan_kwargs | False | None | A mapping of table name to the scan kwargs that should be used to override the default when querying that table. |
aws_access_key_id | False | None | The access key for your AWS account. |
aws_secret_access_key | False | None | The secret key for your AWS account. |
aws_session_token | False | None | The session key for your AWS account. This is only needed when you are using temporary credentials. |
aws_profile | False | None | The AWS credentials profile name to use. The profile must be configured and accessible. |
aws_default_region | False | None | The default AWS region name (e.g. us-east-1) |
aws_endpoint_url | False | None | The complete URL to use for the constructed client. |
aws_assume_role_arn | False | None | The role ARN to assume. |
use_aws_env_vars | False | 0 | Whether to retrieve aws credentials from environment variables. |
stream_maps | False | None | Config object for stream maps capability. For more information check out Stream Maps. |
stream_map_config | False | None | User-defined config values to be used within map expressions. |
flattening_enabled | False | None | 'True' to enable schema flattening and automatically expand nested properties. |
flattening_max_depth | False | None | The max depth to flatten schemas. |
A full list of supported settings and capabilities is available by running: tap-dynamodb --about
This Singer tap will automatically import any environment variables within the working directory's
.env
if the --config=ENV
is provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the .env
file.
You can easily run tap-dynamodb
by itself or in a pipeline using Meltano.
tap-dynamodb --version
tap-dynamodb --help
tap-dynamodb --config CONFIG --discover > ./catalog.json
Follow these instructions to contribute to this project.
# Install pipx if you haven't already
pip install pipx
pipx ensurepath
# Restart your terminal here, if needed, to get the updated PATH
pipx install poetry
# Optional: Install Tox if you want to use it to run auto-formatters, linters, tests, etc.
pipx install tox
Create tests within the tests
subfolder and
then run:
pipx run tox -e pytest
pipx run tox -e pytest -- tests/test_dynamodb.py
You can also test the tap-dynamodb
CLI interface directly using poetry run
:
poetry run tap-dynamodb --help
Testing with Meltano
Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.
Next, install Meltano (if you haven't already) and any needed plugins:
# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-dynamodb
meltano install
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-dynamodb --version
# OR run a test `elt` pipeline:
meltano elt tap-dynamodb target-jsonl
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.