Current Version: v.1.2.0

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

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)

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 python latest 3.9.x in the environment which is the current supported version for the secure agent using pyspark
- https://www.python.org/downloads/ for python
- https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-python.html for conda
set PYSPARK_PYTHON env to point to 3.9 python binary executable for pyspark or switch to the conda environment using the same version see https://spark.apache.org/docs/latest/configuration.html

(Install JDK)

For Windows:

Download JDK:
- Download the latest JDK from the official Oracle or OpenJDK Website
Install JDK:
- Run the installer and follow the on-screen instructions to install the JDK.
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:

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
```
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

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

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

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
- Description: The Spark master URL.
- Purpose: This specifies the master node for the Spark cluster. In a standalone or local mode, it indicates that Spark jobs should run on the local machine. see https://spark.apache.org/docs/latest/submitting-applications.html
- Example: spark_master=local
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

Notice the agent receiving a message after registering the machine

Using the Eazydi Agent

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

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

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

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

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

Notice the agent receiving a message after registering the machine

Using the Eazydi Agent

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

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

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

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

EazyDI Agent

Current Version: v.1.2.0

Installation and Minimum Hardware Requirements

Minimum Hardware Requirements

For Windows:

For Linux:

Installation Instructions

Prerequisites

(Python 3.9)

(Install JDK)

For Linux:

Downloading the Eazydi Agent

Setting up the Eazydi Agent

For Windows

Using the Eazydi Agent

For Linux

Using the Eazydi Agent