Insert / Update Record

Question

Hi I have Sql Database . I want when a record is Inserted / Updated then same record should be Updated/INserted in MySql Server which is separate server. How it can be done. Thanks

Tuhin Paul · Answer

Part -2 Using Linked Servers (SQL Server to MySQL) Create Linked Server in SQL Server EXEC sp_addlinkedserver @server = 'MySQL_SERVER' @srvproduct = 'MySQL' @provider = 'MSDASQL' @datasrc = 'your_mysql_dsn_name' Modify Triggers to Directly Update MySQL CREATE TRIGGER trgAfterInsert ON YourTable AFTER INSERT AS BEGIN EXEC(' INSERT INTO MySQL_SERVER.your_db.your_table SELECT * FROM inserted ') AT MySQL_SERVER END; Linked servers can be fragile for high-frequency updates.

Tuhin Paul · Answer

To provide solution to synchronize data between your SQL Database (e.g. SQL Server) and MySQL Server automatically when records are inserted/updated: We'll use SQL triggers to detect changes and a reliable middleware/service to handle synchronization. Create a Change Log Table in SQL Server CREATE TABLE DataSyncLog ( LogID INT IDENTITY(11) PRIMARY KEY TableName NVARCHAR(100) ActionType CHAR(1) -- 'I' or 'U' RecordID INT Processed BIT DEFAULT 0 CreatedDate DATETIME DEFAULT GETDATE() ); Create Triggers on Your Target Table -- For INSERTs CREATE TRIGGER trgAfterInsert ON YourTable AFTER INSERT AS BEGIN INSERT INTO DataSyncLog (TableName ActionType RecordID) SELECT 'YourTable' 'I' inserted.ID FROM inserted END; -- For UPDATEs CREATE TRIGGER trgAfterUpdate ON YourTable AFTER UPDATE AS BEGIN INSERT INTO DataSyncLog (TableName ActionType RecordID) SELECT 'YourTable' 'U' inserted.ID FROM inserted END; Create Sync Service (Python Example) import pyodbc import mysql.connector from time import sleep def sync_data(): # SQL Server Connection sql_conn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};' 'SERVER=your_sql_server;' 'DATABASE=your_db;' 'UID=user;PWD=password') # MySQL Connection mysql_conn = mysql.connector.connect( host=your_mysql_host user=user password=password database=your_db ) while True: # Get unprocessed changes cursor = sql_conn.cursor() cursor.execute( SELECT TOP 100 LogID TableName ActionType RecordID FROM DataSyncLog WHERE Processed = 0 ORDER BY LogID ) for row in cursor.fetchall(): log_id table action record_id = row # Get full record record_cursor = sql_conn.cursor() record_cursor.execute(f SELECT * FROM {table} WHERE ID = ?  record_id) record = record_cursor.fetchone() # Sync to MySQL try: mysql_cursor = mysql_conn.cursor() if action == 'I': # Build INSERT query columns = ' '.join([col[0] for col in record_cursor.description]) values = ' '.join(['%s'] * len(record)) query = fINSERT INTO {table} ({columns}) VALUES ({values}) elif action == 'U': # Build UPDATE query set_clause = ' '.join( [f{col[0]} = %s for col in record_cursor.description]) query = fUPDATE {table} SET {set_clause} WHERE ID = %s mysql_cursor.execute(query record) mysql_conn.commit() # Mark as processed sql_conn.execute( UPDATE DataSyncLog SET Processed = 1 WHERE LogID = ?  log_id) sql_conn.commit() except Exception as e: print(fError syncing LogID {log_id}: {str(e)}) sleep(5) # Check every 5 seconds if __name__ == __main__: sync_data()

Daniel Wright · Answer

Hi there! It sounds like you're looking to achieve database replication between two separate servers - one SQL Server and the other MySQL Server. This can be accomplished by setting up a process to synchronize data between the two databases whenever a record is inserted or updated in one of them. Here's a high-level overview of how you can approach this: 1. Database Replication Strategies : - SQL Server Replication : SQL Server offers several replication options like Transactional Replication Merge Replication and Snapshot Replication. You can configure replication to publish changes from SQL Server to MySQL Server. - Custom Scripts : You can write custom scripts or use tools to monitor changes in the SQL Server database and propagate those changes to the MySQL Server. This approach provides more flexibility but requires more development effort. 2. Setting up the Data Sync Process : - Identify the tables and columns that need to be replicated. - Establish a connection from your application or a middleware service that can listen to database changes. - Implement logic to capture insert/update operations on the SQL Server database. - Map these operations to corresponding operations on the MySQL Server. 3. Handling Inserts and Updates : - For inserts you need to ensure that new records are added to the MySQL Server. - For updates you will need to update existing records on the MySQL Server. 4. Error Handling and Conflict Resolution : - Implement mechanisms to handle conflicts that may arise due to network issues or differences in data between the two servers. - Have proper error handling in place to address any synchronization failures. Examples of tools that can help in this process are Apache Kafka for real-time data streaming Debezium for change data capture or custom scripts using programming languages like Python Node.js or Java. By combining these strategies and tools you can establish a robust data synchronization process between your SQL Server and MySQL Server. Let me know if you need further clarification or more specific guidance on any part of this process!