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Library for ingesting MySQL metadata into Google Cloud Data Catalog

Project description


Library for ingesting MySQL metadata into Google Cloud Data Catalog.

Python package PyPi License Issues

Disclaimer: This is not an officially supported Google product.

Table of Contents

1. Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, 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

pip3 install virtualenv
virtualenv --python python3.6 <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-datacatalog-mysql-connector

1.2. Windows

pip3 install virtualenv
virtualenv --python python3.6 <your-env>
<your-env>\Scripts\pip.exe install google-datacatalog-mysql-connector

1.3. Install from source

1.3.1. Get the code

git clone
cd datacatalog-connectors-rdbms/google-datacatalog-mysql-connector

1.3.2. Create and activate a virtualenv

pip3 install virtualenv
virtualenv --python python3.6 <your-env>
source <your-env>/bin/activate

1.3.3. Install the library

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>/mysql2dc-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:

export GOOGLE_APPLICATION_CREDENTIALS=data_catalog_credentials_file

export MYSQL2DC_DATACATALOG_PROJECT_ID=google_cloud_project_id
export MYSQL2DC_DATACATALOG_LOCATION_ID=google_cloud_location_id
export MYSQL2DC_MYSQL_SERVER=mysql_server
export MYSQL2DC_MYSQL_USERNAME=mysql_username
export MYSQL2DC_MYSQL_PASSWORD=mysql_password
export MYSQL2DC_MYSQL_DATABASE=mysql_database
export MYSQL2DC_RAW_METADATA_CSV=mysql_raw_csv (If supplied ignores the MYSQL server credentials)

3. Adapt user configurations

Along with default metadata, the connector can ingest optional metadata as well, such as number of rows in each table. The table below shows what metadata is scraped by default, and what is configurable.

Metadata Description Scraped by default Config option
database_name Name of a database Y ---
table_name Name of a table Y ---
table_type Type of a table (BASE, VIEW, etc) Y ---
create_time When the table was created Y ---
update_time When the table was updated Y ---
table_size_mb Size of a table, in MB Y ---
column_name Name of a column Y ---
column_type Column data type Y ---
column_default_value Default value of a column Y ---
column_nullable Whether a column is nullable Y ---
column_char_length Char length of values in a column Y ---
column_numeric_precision Numeric precision of values in a column Y ---
ANALYZE TABLE statement Statement to refresh metadata information N refresh_metadata_tables
table_rows Number of rows in a table N sync_row_counts

Sample configuration file ingest_cfg.yaml in the repository root shows what kind of configuration is expected.

If you want to run optional queries, please add ingest_cfg.yaml to the directory from which you execute the connector and adapt it to your needs.

When running the ANALYZE TABLE statement, the connector credentials need INSERT privilege in the database system tables, otherwise you will receive the following error:

mysql.connector.errors.ProgrammingError: 1142 (42000): INSERT command denied to user
 'read-only'@'{HOST}' for table '{TABLE_NAME}'

If it is desired to have only READ privilege make sure the flag refresh_metadata_tables is disabled

4. Run entry point

4.1. Run Python entry point

  • Virtualenv
google-datacatalog-mysql-connector \
--datacatalog-project-id=$MYSQL2DC_DATACATALOG_PROJECT_ID \
--datacatalog-location-id=$MYSQL2DC_DATACATALOG_LOCATION_ID \
--mysql-host=$MYSQL2DC_MYSQL_SERVER \
--mysql-database=$MYSQL2DC_MYSQL_DATABASE \

4.2. Run the Python entry point with a user-defined entry resource URL prefix

This option is useful when the connector cannot accurately determine the database hostname. For example when running under proxies, load balancers or database read replicas, you can specify the prefix of your master instance so the resource URL will point to the exact database where the data is stored.

  • Virtualenv
google-datacatalog-mysql-connector \
--datacatalog-project-id=$MYSQL2DC_DATACATALOG_PROJECT_ID \
--datacatalog-location-id=$MYSQL2DC_DATACATALOG_LOCATION_ID \
--datacatalog-entry-resource-url-prefix project/database-instance \
--mysql-host=$MYSQL2DC_MYSQL_SERVER \
--mysql-database=$MYSQL2DC_MYSQL_DATABASE \

4.3. Run Docker entry point

docker build -t mysql2datacatalog .
docker run --rm --tty -v YOUR-CREDENTIALS_FILES_FOLDER:/data mysql2datacatalog \
--datacatalog-project-id=$MYSQL2DC_DATACATALOG_PROJECT_ID \
--datacatalog-location-id=$MYSQL2DC_DATACATALOG_LOCATION_ID \
--mysql-host=$MYSQL2DC_MYSQL_SERVER \
--mysql-database=$MYSQL2DC_MYSQL_DATABASE  \

5 Scripts inside tools

5.1. Run clean up

# List of projects split by comma. Can be a single value without comma
export MYSQL2DC_DATACATALOG_PROJECT_IDS=my-project-1,my-project-2
# Run the clean up
python tools/ --datacatalog-project-ids=$MYSQL2DC_DATACATALOG_PROJECT_IDS 

6. Developer environment

6.1. Install and run Yapf formatter

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
chmod a+x
mv .git/hooks/pre-commit

6.2. Install and run Flake8 linter

pip install --upgrade flake8
flake8 src tests

6.3. Run Tests

python test

7. Metrics


8. 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 '' for consumer 'project_number:1111111111111'."
debug_error_string = 
"{"created":"@1587396969.506556000", "description":"Error received from peer ipv4:","file":"src/core/lib/surface/","file_line":1056,"grpc_message":"Quota exceeded for quota metric 'Read requests' and limit 'Read requests per minute' of service '' for consumer 'project_number:1111111111111'.","grpc_status":8}"

For more info about Data Catalog quota, go to: Data Catalog quota docs.

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