To provide more specific performance optimization guidance to customers, more details are needed on each customer's workload. Monitor resources such as CPU, memory and log throughput. Databases in a pool share resources among them (such as disk space), so enabling CDC on multiple databases runs the risk of reaching the max size of the elastic pool disk size. For databases in elastic pools, in addition to considering the number of tables that have CDC enabled, pay attention to the number of databases those tables belong to. Whether the database is single or pooled.Space available in the source database, since CDC artifacts (for example, CT tables, cdc_jobs etc.) are stored in the same database. Frequency of changes in the tracked tables.The number of tracked CDC-enabled tables.Below are some of the aspects that influence performance impact of enabling CDC: The performance impact from enabling change data capture on Azure SQL Database is similar to the performance impact of enabling CDC for SQL Server or Azure SQL Managed Instance. To learn about Change Data Capture, you can also refer to this Data Exposed episode: Users still have the option to run capture and cleanup manually on demand. The scheduler runs capture and cleanup automatically within SQL Database, without any external dependency for reliability or performance. In Azure SQL Database, a change data capture scheduler takes the place of the SQL Server Agent that invokes stored procedures to start periodic capture and cleanup of the change data capture tables. SQL Server change data capture provides this technology. Instead, you need a reliable stream of change data that is structured so that consumers can apply it to dissimilar target representations of the data. Although the representation of the source tables within the data warehouse must reflect changes in the source tables, an end-to-end technology that refreshes a replica of the source isn't appropriate. An ETL application incrementally loads change data from SQL Server source tables to a data warehouse or data mart. Table-valued functions are provided to allow systematic access to the change data by consumers.Ī good example of a data consumer that this technology targets is an extraction, transformation, and loading (ETL) application. Column information and the metadata that is required to apply the changes to a target environment is captured for the modified rows and stored in change tables that mirror the column structure of the tracked source tables. This makes the details of the changes available in an easily consumed relational format. OverviewĬhange data capture (CDC) uses the SQL Server agent to record insert, update, and delete activity that applies to a table. Change data capture is generally available in Azure SQL Database, SQL Server, and Azure SQL Managed Instance. In this article, learn about change data capture (CDC), which records activity on a database when tables and rows have been modified. Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance
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