Scripts

Technical Article

Real-Time SQL Server to BigQuery Streaming ETL using CDC

CDC Changes: The script queries the CDC tables in SQL Server to retrieve the changes (inserts, updates, deletes) since the last sync. Each change is processed with a mapped operation type (INSERT, UPDATE, DELETE).
Real-Time Streaming to BigQuery: The captured changes are streamed directly to BigQuery using its real-time insert_rows_json method, avoiding the need for batch uploads via Google Cloud Storage.
Tracking Last Sync Time: The script tracks the last synchronization time and updates it after every successful sync, ensuring no data is missed.
Low Latency: By continuously querying the CDC tables and streaming the changes, the script achieves near real-time data synchronization.

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2024-11-13 (first published: )

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Technical Article

Concatenating Multiple Row Values into a Single Comma-Separated List

In scenarios where you need to consolidate multiple rows into a single, comma-separated value, you can achieve this using FOR XML PATH. This script demonstrates how to retrieve volunteer data and display the days they have selected for participation.

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2024-11-11 (first published: )

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Technical Article

While Loop in T-SQL

Often, we encounter situations where we need to loop through a dataset to process or update records iteratively. In such cases, I use WHILE loop like below. The example below demonstrates how a WHILE loop can be used to iterate Sales records. This approach is particularly effective when working with a numerical or date column, […]

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2024-10-15

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Technical Article

Comprehensive SQL Performance Monitoring and Optimisation Script

This script monitors and reports the execution statistics of SQL statements over a specified period, capturing metrics such as execution counts, CPU time, I/O operations, and elapsed time. It provides a comprehensive view of query performance, aiding in the diagnosis of performance issues and identifying problematic SQL queries in the database.

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2024-07-29 (first published: )

1,846 reads

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Upgrades to SQL Server 2022

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