Creating and Executing the Online Notebook

In this topic, you can see the step-by-step process for creating and executing the Notebook along with its features.

In this Topic:

How to Create and Execute the Notebook

To create a notebook, you must log in to LeapLogic after creating an account (see Prerequisites for more details) and follow the below steps:

Select SQL Transformation > Transform or SQL Transformation > Notebook > CREATE NOTEBOOK on the left navigation pane to create an online notebook.

In Source Enterprise Data Warehouse, select the data warehouse or database that you want to transform, such as Teradata, Netezza, Oracle, SQL Server, Vertica, Greenplum, or T-SQL.
In Target Platform, select the target such as Hive, Spark, Snowflake, Amazon Redshift, Azure Synapse, Databricks, Databricks Lakehouse, Google Big Query, etc.

The below table shows the Target Platform corresponding to the Source Enterprise Data Warehouse.

Source Enterprise Data Warehouse	Target Platform
Teradata	Hive Spark Snowflake Amazon Redshift Azure Synapse Databricks Databricks Lakehouse Google Big Query
Netezza	Hive Spark Snowflake Amazon Redshift Azure Synapse Databricks Databricks Lakehouse
Oracle	Hive Spark Snowflake Amazon Redshift Azure Synapse Databricks Databricks Lakehouse GCP PostgreSQL
SQL Server	Hive Spark Databricks Databricks Lakehouse
Vertica	Hive Spark Databricks
Greenplum	Hive Spark Databricks
T-SQL	Databricks Lakehouse

Alternatively, you can import the query for transformation. To do so,

Click (top right corner) on the Transformation Notebook page and then select Import.
Select to upload the scripts. You can upload the scripts or queries as .sql or .txt files. Each query is automatically segregated and placed into different query blocks in the notebook.
Click to save the uploaded files.

Only one query is allowed in one query block. Click (Add New Transformation) to add more queries.
Click (top right corner) on the Transformation Notebook page and then select Configure.
1. Configure Transform to associate live or offline metadata with your notebook to increase the accuracy of the transformation.
2. Configure Unit Level Validation to perform unit/ query level validation.
3. Configure Script Level Validation to perform data-driven validation.
Click to transform the original query from the source to the target platform.
Click . Save dialog opens.
In Notebook Name and Description, enter the name and description of the notebook.

Click to create the Notebook.
As soon as the Notebook is added successfully, the system displays a snackbar pop-up window to notify the success message.

Furthermore, you can access and update your notebook from the Notebook Listing page.

Note:

A warning message displays if you have not associated either live or offline metadata with the SQL transformation stage.
Provide metadata information to increase the accuracy of the transformation and validation.
When you license LeapLogic, it comes with a certain quota limit, for example upload size quota, or number of queries which can be assessed or transformed, and likewise. The system alarms the user when the limit exceeds and highlights quota exhaustion message.

Supported Features of the Notebook

The online notebook editor has several features that allow quick access and accelerate the transformation experience.

Feature	Icon	Actions
Transformation		Transform the original query from the source to target individually.
Validate button		To validate the query. You can validate based on: Unit Level Script Level Syntax
Transformation Difference		Shows the differences between the source and the transformed query.
Discard		To remove the changes made to the Transformed Query box.
Expand		To expand the online notebook editor.
Collapse		To collapse the expanded view of the online notebook editor.
Validate All Transform All		You can find these options at the top right corner of the Transformation Notebook page. To validate all queries in one go. To transform all queries in one go.
Compare		To compare and show the differences between the source and the transformed query in one go.
Filter		To Filter the queries. The queries can be filtered based on: All Auto transformed Modified Newly Added Manual Correction Required
Select All		To select all the queries.