Overview
The Lyftron Provider for IBM Cloud SQL Query offers the most natural way to access IBM Cloud SQL Query data from Lyftron with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing IBM Cloud SQL Query data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftron’s IBM Cloud SQL Query data provider and automatically build your data migration pipelines in minutes, not months
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
Key Features
- Comprehensive Delta load mechanism.
- Real-time access to IBM Cloud SQL Query.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
Prerequisites
The user must have credentials for IBM Cloud SQL Query, Lyftron and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftron
Establishing a Connection with Lyftron's Quickstart Steps
Create your IBM Cloud SQL Query connection with Lyftron by following the 5 easy steps show below:
Step1. Add your connection
Click on Connect section on the left panel → Click on Add Connection button
Step2. Select your connector
In the connector selection panel, search and click IBM Cloud SQL Query for your connection
Step3. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish IBM Cloud SQL Query connection with Lyftron.
"Api Key=MyAPIKey;"Key | Value | Field |
Connection Name | Enter your connection details | Required |
Api Key | Your IBM Cloud SQL Query Api Key | Required |
Logfile** | Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx | Optional |
Verbosity** | Choose verbosity 1-5 based on the severity of debugging | Optional |
** For more information, check the Lyftron logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftron, click on Lyftron Connection Quick Start guide.
Step4. Test your connection
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftron logging and debugging section, to debug the error.
Step5. Save your connection
Hurray! Now you have successfully connected with the Lyftron IBM Cloud SQL Query connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.
Data Model
System Tables
The Tables schema collection lists all tables in the database, including views.
Columns Returned
The Tables schema collection returns the following columns.
Name | Type | Description |
TABLE_CATALOG | System.String | The database that contains the table. |
TABLE_SCHEMA | System.String | The schema that contains the table. |
TABLE_NAME | System.String | The table name. |
TABLE_TYPE | System.String | The table type. |
RecentJobs | Views | Query information regarding recent executed jobs. At most, information about the 30 latest jobs will be returned. |
Services | Views | Query resource instances belonging to the current authenticated user. |
Advanced Settings
To view a detailed advanced settings options, go to IBM Cloud SQL Query Advanced Settings. Complete list of the parameters you can configure in the connection string can be found by clicking Connection String Parameters.