JDBC Sync Job

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IOMETE provides JDBC Sync Job to easily replicate tables from JDBC databases (MySQL, PostgreSQL, etc.) to IOMETE. Only you need to provide configuration properties. Powerful feature of job is Sync mode. You can choose a technique that how you want to move your data. Full load or Incremental. You can find more details bellow about sync mode

Sync Mode

You can define sync mode for each table. Currently, supported sync modes are:

• FullLoad: Read everything in the source and overwrites whole table at the destination at each sync
• IncrementalSnapshot: It creates the snapshot of table in the destination and only move the newly inserted and updated records. While writing to IOMETE it uses merge statement. This mode requires 2 parameters: identification_column will be used on merge statement, and tracking_column to track the where it should continue to get data from the source table

Installation

• In the left sidebar menu choose Spark Jobs
• Click on Create

Specify the following parameters (these are examples, you can change them based on your preference):

• Name: jdbc-sync-job
• Schedule: 0 0/22 1/1 * *
• Docker image: iomete/iomete_jdbc_sync:0.2.1
• Main application file: local:///app/driver.py
• Environment variables: DB_PASSWORD: 9tVDVEKp

Environment variables

You can use Environment variables to store your sensitive variables like password, secrets, etc. Then you can use these variables in your config file using the ${DB_PASSWORD} syntax.

### Config file

• Config file: Scroll down and expand Application configurations section and click Add config file and paste following JSON.

  

{
    source_connection: {
        type: mysql,
        host: "iomete-tutorial.cetmtjnompsh.eu-central-1.rds.amazonaws.com",
        port: 3306,
        username: tutorial_user,
        password: ${DB_PASSWORD}
    },
    syncs: [
        {
            source.schema: employees
            source.tables: ["*"]
            source.exclude_tables: ["salaries"]
            destination.schema: employees_raw
            sync_mode.type: full_load
        },
        {
            source.schema: employees
            source.tables: [ departments, dept_manager ]
            destination.schema: employees_dep
            sync_mode.type: full_load
        }
    ]
}

Configuration properties

Property	Description
source_connection	Required properties to connect source. type your database type like Mysql, Postgres, etc. host your database host. Example: iomete-tutorial.cetmtjnompsh.eu-central-1.rds.amazonaws.com port port number. Example: 3306 username database username password database password
syncs	source.schema Database where your tables stored. source.tables List of tables which you want to replicate. If you want to move all tables set ["*"] source.exclude_tables List of tables which you do not want to replicate. (Optional) destination.schema Database name where you want to store tables in your warehouse. type full_load overwrites whole table at the destination at each sync or incremental_snapshot only move the newly inserted and updated records. full_load incremental_snapshot identification_column tracking_column

And, hit the create button.

The job will be run based on the defined schedule. But, you can trigger the job manually by clicking on the Run button.

Github

You can find source code of JDBC Sync Job in github. View in Github