Metadata-Version: 2.1
Name: google-datacatalog-rdbmscsv-connector
Version: 0.7.0
Summary: Library for ingesting RDBMS CSV metadata into Google Cloud Data Catalog
Home-page: UNKNOWN
Author: Google LLC
License: UNKNOWN
Description: # google-datacatalog-rdbmscsv-connector
        
        Library for ingesting a CSV metadata extraction from a RDBMS into Google Cloud Data Catalog.
        
        [![Python package][2]][2] [![PyPi][3]][4] [![License][5]][5] [![Issues][6]][7]
        
        **Disclaimer: This is not an officially supported Google product.**
        
        <!--
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          run `npx markdown-toc -i README.md`.
        
          Please stick to 80-character line wraps as much as you can.
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        ## Table of Contents
        
        <!-- toc -->
        
        - [1. Installation](#1-installation)
          * [1.1. Mac/Linux](#11-maclinux)
          * [1.2. Windows](#12-windows)
          * [1.3. Install from source](#13-install-from-source)
            + [1.3.1. Get the code](#131-get-the-code)
            + [1.3.2. Create and activate a *virtualenv*](#132-create-and-activate-a-virtualenv)
            + [1.3.3. Install the library](#133-install-the-library)
        - [2. Environment setup](#2-environment-setup)
          * [2.1. Auth credentials](#21-auth-credentials)
            + [2.1.1. Create a service account and grant it below roles](#211-create-a-service-account-and-grant-it-below-roles)
            + [2.1.2. Download a JSON key and save it as](#212-download-a-json-key-and-save-it-as)
          * [2.2. Set environment variables](#22-set-environment-variables)
        - [3. Run entry point](#3-run-entry-point)
          * [3.1. Run Python entry point](#31-run-python-entry-point)
          * [3.2. Run Docker entry point](#32-run-docker-entry-point)
        - [4 Scripts inside tools](#4-scripts-inside-tools)
          * [4.1. Run clean up](#41-run-clean-up)
        - [5. Developer environment](#5-developer-environment)
          * [5.1. Install and run Yapf formatter](#51-install-and-run-yapf-formatter)
          * [5.2. Install and run Flake8 linter](#52-install-and-run-flake8-linter)
          * [5.3. Run Tests](#53-run-tests)
        - [6. Troubleshooting](#6-troubleshooting)
        
        <!-- tocstop -->
        
        -----
        
        ## 1. Installation
        
        Install this library in a [virtualenv][1] using pip. [virtualenv][1] is a tool to
        create isolated Python environments. The basic problem it addresses is one of
        dependencies and versions, and indirectly permissions.
        
        With [virtualenv][1], it's possible to install this library without needing system
        install permissions, and without clashing with the installed system
        dependencies. Make sure you use Python 3.6+.
        
        
        ### 1.1. Mac/Linux
        
        ```bash
        pip3 install virtualenv
        virtualenv --python python3.6 <your-env>
        source <your-env>/bin/activate
        <your-env>/bin/pip install google-datacatalog-rdbmscsv-connector
        ```
        
        ### 1.2. Windows
        
        ```bash
        pip3 install virtualenv
        virtualenv --python python3.6 <your-env>
        <your-env>\Scripts\activate
        <your-env>\Scripts\pip.exe install google-datacatalog-rdbmscsv-connector
        ```
        
        ### 1.3. Install from source
        
        #### 1.3.1. Get the code
        
        ````bash
        git clone https://github.com/GoogleCloudPlatform/datacatalog-connectors-rdbms/
        cd datacatalog-connectors-rdbms/google-datacatalog-rdbmscsv-connector
        ````
        
        #### 1.3.2. Create and activate a *virtualenv*
        
        ```bash
        pip3 install virtualenv
        virtualenv --python python3.6 <your-env>
        source <your-env>/bin/activate
        ```
        
        #### 1.3.3. Install the library
        
        ```bash
        pip install .
        ```
        
        ## 2. Environment setup
        
        ### 2.1. Auth credentials
        
        #### 2.1.1. Create a service account and grant it below roles
        
        - Data Catalog Admin
        
        #### 2.1.2. Download a JSON key and save it as
        - `<YOUR-CREDENTIALS_FILES_FOLDER>/rdbmscsv2dc-credentials.json`
        
        > Please notice this folder and file will be required in next steps.
        
        ### 2.2. Set environment variables
        
        Replace below values according to your environment:
        
        ```bash
        export GOOGLE_APPLICATION_CREDENTIALS=data_catalog_credentials_file
        
        export RDBMS2DC_DATACATALOG_PROJECT_ID=google_cloud_project_id
        export RDBMS2DC_DATACATALOG_LOCATION_ID=google_cloud_location_id
        export RDBMS2DC_SERVER=rdbms_server
        export RDBMS2DC_TYPE=oracle
        export RDBMS2DC_RAW_METADATA_CSV=rdms_raw_csv
        
        ```
        
        ## 3. Run entry point
        
        ### 3.1. Run Python entry point
        
        - Virtualenv
        
        ```bash
        google-datacatalog-rdbmscsv-connector \
        --datacatalog-project-id=$RDBMS2DC_DATACATALOG_PROJECT_ID \
        --datacatalog-location-id=$RDBMS2DC_DATACATALOG_LOCATION_ID \
        --rdbms-host=$RDBMS2DC_SERVER \
        --rdbms-type=$RDBMS2DC_TYPE \
        --raw-metadata-csv=$RDBMS2DC_RAW_METADATA_CSV
        ```
        
        ### 3.2. Run Docker entry point
        
        ```bash
        docker build -t rdbmscsv2datacatalog .
        docker run --rm --tty -v YOUR-CREDENTIALS_FILES_FOLDER:/data rdbmscsv2datacatalog \
        --datacatalog-project-id=$RDBMS2DC_DATACATALOG_PROJECT_ID  \
        --datacatalog-location-id=$RDBMS2DC_DATACATALOG_LOCATION_ID \
        --rdbms-host=$RDBMS2DC_SERVER \
        --rdbms-type=$RDBMS2DC_TYPE \
        --raw-metadata-csv=$RDBMS2DC_RAW_METADATA_CSV
        ```
        
        ## 4 Scripts inside tools
        
        ### 4.1. Run clean up
        
        ```bash
        # List of projects split by comma. Can be a single value without comma
        export RDBMS_DATACATALOG_PROJECT_IDS=my-project-1,my-project-2
        export RDBMS2DC_TYPE=oracle
        ```
        
        ```bash
        # Run the clean up
        python tools/cleanup_datacatalog.py \
        --datacatalog-project-ids=$RDBMS_DATACATALOG_PROJECT_IDS \
        --rdbms-type=$RDBMS2DC_TYPE
        ```
        
        ## 5. Developer environment
        
        ### 5.1. Install and run Yapf formatter
        
        ```bash
        pip install --upgrade yapf
        
        # Auto update files
        yapf --in-place --recursive src tests
        
        # Show diff
        yapf --diff --recursive src tests
        
        # Set up pre-commit hook
        # From the root of your git project.
        curl -o pre-commit.sh https://raw.githubusercontent.com/google/yapf/master/plugins/pre-commit.sh
        chmod a+x pre-commit.sh
        mv pre-commit.sh .git/hooks/pre-commit
        ```
        
        ### 5.2. Install and run Flake8 linter
        
        ```bash
        pip install --upgrade flake8
        flake8 src tests
        ```
        
        ### 5.3. Run Tests
        
        ```bash
        python setup.py test
        ```
        
        ## 6. Troubleshooting
        
        In the case a connector execution hits Data Catalog quota limit, an error will be raised and logged with the following detailement, depending on the performed operation READ/WRITE/SEARCH: 
        ```
        status = StatusCode.RESOURCE_EXHAUSTED
        details = "Quota exceeded for quota metric 'Read requests' and limit 'Read requests per minute' of service 'datacatalog.googleapis.com' for consumer 'project_number:1111111111111'."
        debug_error_string = 
        "{"created":"@1587396969.506556000", "description":"Error received from peer ipv4:172.217.29.42:443","file":"src/core/lib/surface/call.cc","file_line":1056,"grpc_message":"Quota exceeded for quota metric 'Read requests' and limit 'Read requests per minute' of service 'datacatalog.googleapis.com' for consumer 'project_number:1111111111111'.","grpc_status":8}"
        ```
        For more info about Data Catalog quota, go to: [Data Catalog quota docs](https://cloud.google.com/data-catalog/docs/resources/quotas).
        
        [1]: https://virtualenv.pypa.io/en/latest/
        [2]: https://github.com/GoogleCloudPlatform/datacatalog-connectors-rdbms/workflows/Python%20package/badge.svg?branch=master
        [3]: https://img.shields.io/pypi/v/google-datacatalog-rdbmscsv-connector.svg
        [4]: https://pypi.org/project/google-datacatalog-rdbmscsv-connector/
        [5]: https://img.shields.io/github/license/GoogleCloudPlatform/datacatalog-connectors-rdbms.svg
        [6]: https://img.shields.io/github/issues/GoogleCloudPlatform/datacatalog-connectors-rdbms.svg
        [7]: https://github.com/GoogleCloudPlatform/datacatalog-connectors-rdbms/issues
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Classifier: Topic :: Internet
Description-Content-Type: text/markdown
