Installation Steps

GlueSync SQL to NoSQL for MariaDB

Prerequisites

In order to have GlueSync working on your MariaDB instance you will need to have:

  • valid user credentials with permissions of reading, writing to the target tables and respective database / schema

Schemas and tables identification

In order to connect and perform the desired operations on your source MariaDB database GlueSync requires you to name name your entities in the configuration file using this nomenclature: schemaName.tableName where, for example, for the schema Inventory and table Articles you should have inventory.articles.

The resulting JSON config file for your MariaDB entities will look like this example:

{
  ...
  "sourceEntities": {
    "inventory.articles": {},
    "inventory.customers": {},
    "inventory.addresses": {},
    ...
  },
  ...
}

You can mix multiple schemas in your config file.

Basic configuration example

This module can be customized by using a configuration file, in JSON format. The file name to use must be specified as parameter when launching the app, with the -f or --file tokens. The file should be composed by union of common configuration file (see here Installation Steps) and source/destination specific configuration:

{
  ...
  "mariadb": {
    "certificatesPath": "/path/to/certs/dir/cert.pem"
  },

  "sourceChangeRetention": 5
}

MariaDB specific configurations are listed under the mariadb property:

  • certificatesPath (optional): the path to the certificates that need to be used when connecting to a MariaDB instance using a secure connection. If omitted, no certificates are used;

You can also specify few other options that applies to this configuration, like: * sourceChangeRetention (optional): defaults to 5. Number of retention days preserved into the GlueSync GDC action_logs table inside your MariaDB database;

Looking for data modeling features or other options?

For more detailed configurations options, including the ability to perform data modeling, please have a look at the dedicated Data modeling section when sourcing from a RDBMS.