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Mass updating sql database

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It first performs UPDATE using INNER JOIN and then INSERTS all records that are not present in the table.In this article I am populating the Grid View using the following XML file in the Page Load event.The index can always be created once the update completes. Executing the update in smaller batches The query can be further optimized by executing it in smaller batches. The code below updates the records in batches of 20000. When updating in batches, even if the update fails or it needs to be stopped, only rows from the current batch are rolled back. Disabling Delete triggers Triggers with cursors can extremely slow down the performance of a delete query.Disabling After delete triggers will considerably increase the query performance. Replacing Update statement with a Bulk-Insert operation An update statement is a fully logged operation and thus it will certainly take considerable amount of time if millions of rows are to be updated.Updating very large tables can be a time taking task and sometimes it might take hours to finish.In addition to this, it might also cause blocking issues.Here are few tips to SQL Server Optimizing the updates on large data volumes. Let’s look at the execution plan of the query shown below.In addition to the clustered index update, the index ix_col1 is also updated.

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The traditional advice for improving performance for multiple UPDATE statements is to “prepare” the required query once, and then “execute” the prepared query once for each row requiring an update.But in many cases this only provides a modest improvement as each UPDATE operation still requires a round-trip communication with the database server.In the case where the application server and database server are on different hosts, the round-trip will involve network latency as well.The index update and Sort operation together take 64% of the execution cost. Removing index on the column to be updated The same query takes 14-18 seconds when there isn’t any index on col1.Thus, an update query runs faster if the column to be updated is not an index key column.The dominant factor in the time taken to complete the overall operation tends to be the “admin” work in conveying the application’s intention to the database server rather than the actual updates to the database.