Implementing Incremental Load using Change Data Capture in SQL Server

This article will be interesting to those who often have to deal with data integration.


Assume that there is a database where users always modify data (update or remove). Perhaps, this database is used by a large application that does not allow modifying the table structure. The task is to load data from this database to another database on a different server from time to time. The simplest way to tackle the problem is to load the new data from a source database to a target database with preliminary cleaning up the target database. You can use this method as long as the time to load data is acceptable and does not exceed preset deadlines. What if it takes several days to load data? In addition, unstable communication channels lead to the situation when data load stops and restarts. If you face these obstacles, I suggest considering one of the ‘data reloading’ algorithms. It means that only data modifications occurred since the latest load are loaded.

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Missing Indexes in MS SQL or Optimization in no Time

When executing a query, the SQL Server optimizer tries to find the best query plan based on existing indexes and available latest statistics for a reasonable time, of course, if this plan is not already stored in the server cache. If no, the query is executed according to this plan, and the plan is stored in the server cache. If the plan has already been built for this query, the query is executed according to the existing plan.

We are interested in the following issue:

During compilation of a query plan, when sorting possible indexes, if the server does not find the best index, the missing index is marked in the query plan, and the server keeps statistics on such indexes: how many times the server would use this index and how much this query would cost.

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