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Current Version: v.1.3.0

Version Release Schedule

  • v0.1.0 (Pilot) August 3, 2024

  • v1.0.0 August 17, 2024

  • v1.1.0 August 31, 2024

  • v1.2.0 September 14, 2024

  • v1.3.0 September 28, 2024

Supported Connectors:

  • MySQL (since v0.1.0 Pilot)

  • IBM DB2 (since v0.1.0 Pilot)

  • Oracle (since v0.1.0 Pilot)

  • Postgres (since v0.1.0 Pilot)

  • Snowflake Data Warehouse (since v1.0.0)

  • Salesforce (since v1.0.0)

  • MongoDB (since v1.0.0)

  • Azure Cosmos MongoDB (since v1.0.0)

  • Azure Cosmos PostgreSQL (since v1.0.0)

  • Azure PostgreSQL (since v1.0.0)

  • Azure MySQL (since v1.0.0)

  • Azure SqlServer (since v1.0.0)

  • Google CLoud MongoDB Atlas (since v1.0.0)

  • AWS Aurora MySQL (since v1.1.0)

  • AWS Aurora PostgreSQL (since v1.1.0)

  • AWS RDS PostgreSQL (since v1.1.0)

  • AWS RDS MySQL (since v1.1.0)

  • AWS RDS SqlServer (since v1.1.0)

  • AWS RDS Oracle (since v1.1.0)

  • AWS RDS MariaDB (since v1.1.0)

  • Clickhouse DB (since v1.1.0)

  • ElasticSearch (since v1.1.0)

  • Fauna DB (since v1.1.0)

  • Cockroach DB (since v1.1.0)

  • Amazon S3 (since v1.2.0)

  • Amazon S3 Csv (since v1.2.0)

  • Amazon S3 Excel (since v1.2.0)

  • Azure Data Lake (since v1.2.0)

  • Azure Data Lake Csv (since v1.2.0)

  • Azure Data Lake Excel (since v1.2.0)

  • FTP (since v1.2.0)

  • FTP Csv (since v1.2.0)

  • FTP Excel (since v1.2.0)

  • Google Sheets (since v1.2.0)

  • Google Firebase (since v1.3.0)

  • Google Firestore (since v1.3.0)

  • Heroku Postgres (since v1.3.0)

  • Google Cloud Platform SqlServer (since v1.3.0)

  • Google Cloud Platform MySQL (since v1.3.0)

  • Google Cloud Platform PostgreSql (since v1.3.0)

Installation and Minimum Hardware Requirements

Note: We advise you to use one secure agent per machine as the way it is registered in Eazydi is as follows:

  • system: Operating system (Windows or Linux)

  • name: name of the machine on the network (unique)

  • user: The user who registered the Agent to EazyDI

Minimum Hardware Requirements

Before installing the Secure Agent, ensure your system meets the following minimum hardware requirements:

For Windows:

  • Operating System: Windows 10 or later (64-bit)

  • Processor: Quad-core CPU (Intel or AMD) with a clock speed of 2.5 GHz or higher

  • Memory: 16 GB RAM

  • Disk Space: 50 GB of free disk space

  • Network: High-speed internet connection

  • Java: JDK 11 or later

For Linux:

  • Operating System: CentOS 7 or later, Ubuntu 18.04 or later (64-bit)

  • Processor: Quad-core CPU (Intel or AMD) with a clock speed of 2.5 GHz or higher

  • Memory: 16 GB RAM

  • Disk Space: 50 GB of free disk space

  • Network: High-speed internet connection

  • Java: JDK 11 or later

Installation Instructions

Follow these steps to install the Secure Agent on your system.

Prerequisites

(Python 3.9)

(Install JDK)

For Windows:

  1. Download JDK:

    • Download the latest JDK from the official Oracle or OpenJDK Website

  2. Install JDK:

    • Run the installer and follow the on-screen instructions to install the JDK.

  3. Set JAVA_HOME Environment Variable:

    • Open the Start menu and search for "Environment Variables".

    • Click on "Edit the system environment variables".

    • In the System Properties window, click on the "Environment Variables" button.

    • Under "System variables", click "New" and set the variable name to JAVA_HOME and the variable value to the JDK installation path (e.g., C:\Program Files\Java\jdk-11).

    • Find the Path variable in the "System variables" section, select it, and click "Edit".

    • Click "New" and add %JAVA_HOME%\bin to the list.

    • Click "OK" to close all dialogs.

For Linux:

  1. Install JDK:

    • For Ubuntu/Debian-based distributions:

      sudo apt update
sudo apt install openjdk-11-jdk

    • For CentOS/RHEL-based distributions:

      sudo yum install java-11-openjdk-devel

  2. Set JAVA_HOME Environment Variable:

    • Open your .bashrc or .profile file in a text editor:

      nano ~/.bashrc

    • Add the following lines at the end of the file:

      export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
export PATH=$JAVA_HOME/bin:$PATH

      Copy code

      export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64 export PATH=$JAVA_HOME/bin:$PATH

    • Save the file and reload it:

      source ~/.bashrc

Downloading the Eazydi Agent

  • Login to EazyDI Application and navigate to the Environments tab and click New Agent button

image-20240731-012549.png

  • Click on Generate New Token and copy it, or optionally download the new token as a text file

image-20240731-012740.png

  • Choose the platform and click Download Secure Agent to download the latest build of the Eazydi Agent

image-20240731-012930.png

Setting up the Eazydi Agent

app.ini

The app.ini file is a critical configuration file for the Secure Agent, dictating how it connects to the cloud service. Below is a detailed breakdown of the sections and key parameters within the app.ini file

  • base_socket_url

    • Description: The URL used by the Secure Agent to establish a connection with the EazyDi platform.

    • Purpose: This is a crucial setting that should not be altered. It specifies the endpoint for all communication between the agent and the cloud service.

  • username

    • Description: The username associated with your EazyDi account.

    • Purpose: This parameter is used for authenticating the Agent with the EazyDi platform. It ensures that the agent operates under the correct user context.

    • Example: username=myusername@eazydi.com

  • token

    • Description: The authentication token provided by EazyDi.

    • Purpose: This token is used in conjunction with the username to authenticate the Secure Agent. It is essential for secure and authorized access to the platform.

    • Example: token=320af1e1-5786-4779-bf20-1ecadb92c900

  • spark_memory

    • Description: The amount of memory allocated to Apache Spark.

    • Purpose: This setting determines how much memory is available for Spark jobs executed by the Agent. Adequate memory allocation is crucial for performance, especially when handling large datasets. see https://spark.apache.org/docs/latest/configuration.html

    • Example: spark_memory=6g

  • spark_master

  • spark_cores

    • Description: The number of CPU cores allocated to Spark.

    • Purpose: This parameter sets the number of CPU cores available for Spark processing tasks. More cores can improve performance by allowing more parallel processing. see https://spark.apache.org/docs/latest/configuration.html

    • Example: spark_cores=2

For Windows

  • Unzip the downloaded file and open app.ini

[app]
base_socket_url=<the url for the connection of the agent to eazydi,do not change>
username=myusername@eazydi.com
token=320af1e1-5786-4779-bf20-1ecadb92c900
spark_memory=6g
spark_master=local
spark_cores=2

  • Fill up username and token

  • Double click on the eazydi agent.exe to run

  • Notice in Environments Tab your machine will be registered and shows status as up

image-20240731-014129.png

  • Notice the agent receiving a message after registering the machine

image-20240731-014210.png

Using the Eazydi Agent

  • Create Connections which support the Eazydi Agent and assign the environment to your Agent

image-20240731-014421.png

  • In Creating Pipelines using the Eazydi Agent, the Source and Target connections should be the same environment

image-20240731-014541.png

  • Running Jobs make sure that the Agent is up and running. Notice the agent will receive requests for jobs in the logs

image-20240731-014732.png

  • Once Job is complete it will reflect in Eazydi’s Monitor → Archived Listings

image-20240731-014934.png

image-20240731-014857.png

For Linux

  • Run the command to extract tar.gz file

mkdir linux_eazydi_agent
tar -xzvf eazydi-agent-linux-v0.1.tar.gz -C linux_eazydi_agent
cd linux_eazydi_agent
chmod +x eazydi_agent

  • Update the app.ini using your preferred Linux editor

[app]
base_socket_url=<the url for the connection of the agent to eazydi,do not change>
username=myusername@eazydi.com
token=320af1e1-5786-4779-bf20-1ecadb92c900
spark_memory=6g
spark_master=local
spark_cores=2

  • Fill up username and token

  • Run

./eazydi_agent

  • Notice in Environments Tab your machine will be registered and shows status as up

image-20240731-111453.png

  • Notice the agent receiving a message after registering the machine

image-20240731-111358.png

Using the Eazydi Agent

  • Create Connections which support the Eazydi Agent and assign the environment to your Agent

image-20240731-111552.png

  • In Creating Pipelines using the Eazydi Agent, the Source and Target connections should be the same environment

image-20240731-014541.png

  • Running Jobs make sure that the Agent is up and running. Notice the agent will receive requests for jobs in the logs

image-20240731-111749.png

  • Once Job is complete it will reflect in Eazydi’s Monitor → Archived Listings

image-20240731-111712.png

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