Script-Drop Orphan users from SQL Server Database
This script will help to find orphan users on all databases and will remove them.
2025-05-20
642 reads
This script will help to find orphan users on all databases and will remove them.
2025-05-20
642 reads
2025-05-06
1,104 reads
This script runs a SQL server Health check for services, databases, Always On, replication, CDC job status.
2025-05-05
1,390 reads
To fetch an execution plan from SQL Server's buffer cache (i.e., the in-memory cache of execution plans), you can query the dynamic management views (DMVs) that SQL Server exposes.
2025-04-30
326 reads
Explanation: sys.databases contains information about all databases on the SQL Server instance. • HAS_DBACCESS(name) = 1 filters out the databases you dont have access to. •ORDER BY name sorts the result alphabetically.
2025-03-04
426 reads
This script will help to get the Database mdf & ldf files size, used space, Free space in MB.
2025-02-27 (first published: 2025-02-25)
452 reads
This T-SQL script helps you monitor the size and status of all databases on your SQL Server instance, providing insights into space usage and performance.
2025-01-29 (first published: 2025-01-20)
1,068 reads
This procedure gets current table and index sizes of particular database and stores it to tables.
2025-01-07
365 reads
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.
2024-11-13 (first published: 2024-10-24)
746 reads
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.
2024-11-11 (first published: 2024-10-23)
1,805 reads
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Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers