This is a Singer target that loads JSON-formatted data following the Singer spec to Couchbase Server.
First, make sure Python 3.6 or higher is installed on your system or follow these installation instructions for Mac or Ubuntu.
pip install -U couchbase
pip install -U target-couchbase
Or you can install the lastest development version from GitHub:
pip install -U couchbase
pip install --no-cache-dir https://github.com/anelendata/target-couchbase/archive/master.tar.gz#egg=target-couchbase
Note: Please refer to Couchbase documentation for the details of installation of couchbase Python SDK.
Create a file called target_config.json in your working directory, following this sample:
{
"cluster": "{{ your-couchbase-server.com }}:8091",
"username": "{{ couchbase_username }}",
"password": "{{ couchbase_password }}",
"bucket": "{{ your-bucket-name }}"
}
target-bigquery can be run with any Singer Target. As example, let use tap-exchangeratesapi.
pip install tap-exchangeratesapi
And create tap_config.json that looks like:
{
"base": "USD",
"start_date": "2021-01-11"
}
(Adjust your start date. 7 days ago is recommended for the test)
Run:
tap-exchangeratesapi -c tap_config.json | target-couchbase -c target_config.json
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