Singer tap that extracts data from SFTP files and produces JSON-formatted data following the Singer spec.
First, make sure Python 3 is installed on your system or follow these installation instructions for Mac or Ubuntu.
It's recommended to use a virtualenv:
$ python3 -m venv venv
$ pip install tap-sftp
or
$ python3 -m venv venv
$ . venv/bin/activate
$ pip install --upgrade pip
$ pip install .
Create a config.json
file with connection details to snowflake.
{
"host": "SFTP_HOST_NAME",
"port": 22,
"username": "YOUR_USER",
"password": "YOUR_PASS",
"tables": [
{
"table_name": "MyExportData",
"search_prefix": "\/Export\/SubFolder",
"search_pattern": "MyExportData.*\\.zip.gpg$",
"key_properties": [],
"delimiter": ",",
"encoding": "utf-8",
"sanitize_header": false,
"skip_rows": 0
}
],
"start_date":"2021-01-28",
"decryption_configs": {
"SSM_key_name": "SSM_PARAMETER_KEY_NAME",
"gnupghome": "/your/dir/.gnupg",
"passphrase": "your_gpg_passphrase"
},
"private_key_file": "Optional_Path",
}
If using the decryption feature you must pass the configs shown above, including the AWS SSM parameter name for where the decryption private key is stored. In order to retrieve this parameter the runtime environment must have access to SSM through IAM environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN).
The following fields are required for the connection configuration:
host
: Hostname or IP of the SFTP serverusername
: Username for the SFTP serverport
: Port number for the SFTP servertables
: An array of tables to load. See table configuration belowstart_date
: Earliest file date to synchronizeeither password
or private_key_file
: Authentication to the SFTP Server
The following table configuration fields are required:
table_name
: The name that should be given to the table (stream)search_prefix
: Folder where the files are locatedsearch_pattern
: Regex pattern to match the file namesdelimiter
: A one-character string delimiter used to separate fields. Default, is ,
.
The following table configuration fields are optional:
key_properties
: Array containing the unique keys of the table. Defaults to ['_sdc_source_file', '_sdc_source_lineno']
, representing the file name and line number. Specify an emtpy array ([]
) to load all new files without a replication keyencoding
: File encoding, defaults to utf-8
sanitize_header
: Boolean, specifies whether to clean up header names so that they are more likely to be accepted by a target SQL databaseskip_rows
: Integer, specifies the number of rows to skip at the top of the file to handle non-data content like comments or other text. Default 0.The tap can be invoked in discovery mode to find the available tables and columns in the database:
$ tap-sftp --config config.json --discover > catalog.json
A discovered catalog is output, with a JSON-schema description of each table. A source table directly corresponds to a Singer stream.
Edit the catalog.json
and select the streams to replicate. Or use this helpful discovery utility.
Run the tap like any other singer compatible tap:
$ tap-sftp --config config.json --catalog catalog.json --state state.json
Install python dependencies in a virtual env and run unit and integration tests
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install .
pip install tox
To run unit tests:
tox
Apache License Version 2.0
See LICENSE to see the full text.