A package to manage Google Cloud Data Catalog Fileset export scripts
Project description
Datacatalog Fileset Exporter
A Python package to manage Google Cloud Data Catalog Fileset export scripts.
Disclaimer: This is not an officially supported Google product.
Executing in Cloud Shell
# Set your SERVICE ACCOUNT, for instructions go to 1.3. Auth credentials
# This name is just a suggestion, feel free to name it following your naming conventions
export GOOGLE_APPLICATION_CREDENTIALS=~/datacatalog-fileset-exporter-sa.json
# Install datacatalog-fileset-exporter
pip3 install datacatalog-fileset-exporter --user
# Add to your PATH
export PATH=~/.local/bin:$PATH
# Look for available commands
datacatalog-fileset-exporter --help
1. Environment setup
1.1. Python + virtualenv
Using virtualenv is optional, but strongly recommended unless you use Docker.
1.1.1. Install Python 3.6+
1.1.2. Get the source code
git clone https://github.com/mesmacosta/datacatalog-fileset-exporter
cd ./datacatalog-fileset-exporter
All paths starting with ./
in the next steps are relative to the datacatalog-fileset-exporter
folder.
1.1.3. Create and activate an isolated Python environment
pip install --upgrade virtualenv
python3 -m virtualenv --python python3 env
source ./env/bin/activate
1.1.4. Install the package
pip install --upgrade .
1.2. Docker
Docker may be used as an alternative to run the script. In this case, please disregard the Virtualenv setup instructions.
1.3. Auth credentials
1.3.1. Create a service account and grant it below roles
- Data Catalog Admin
1.3.2. Download a JSON key and save it as
This name is just a suggestion, feel free to name it following your naming conventions
./credentials/datacatalog-fileset-exporter-sa.json
1.3.3. Set the environment variables
This step may be skipped if you're using Docker.
export GOOGLE_APPLICATION_CREDENTIALS=~/credentials/datacatalog-fileset-exporter-sa.json
5. Export Filesets to CSV file
5.1. A CSV file representing the Filesets will be created
Filesets are composed of as many lines as required to represent all of their fields. The columns are described as follows:
Column | Description | Mandatory |
---|---|---|
entry_group_name | Entry Group Name. | Y |
entry_group_display_name | Entry Group Display Name. | Y |
entry_group_description | Entry Group Description. | Y |
entry_id | Entry ID. | Y |
entry_display_name | Entry Display Name. | Y |
entry_description | Entry Description. | Y |
entry_file_patterns | Entry File Patterns. | Y |
schema_column_name | Schema column name. | N |
schema_column_type | Schema column type. | N |
schema_column_description | Schema column description. | N |
schema_column_mode | Schema column mode. | N |
5.2. Run the datacatalog-fileset-exporter script
- Python + virtualenv
datacatalog-fileset-exporter filesets export --project-ids my-project --file-path CSV_FILE_PATH
History
0.1.0 (2020-04-28)
- First release on PyPI.
0.2.0 (2020-05-08)
- ADD option to use filesets creation date.
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