Data Management

Exploration on Scalability of Database Bulk Insertion With Multithreading

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Executive Summary

The advancement of database engine and multi-core processors technologies have enable database insertion to be implemented concurrently via multithreading programming. The objective of this paper is to evaluate the performance of using multithreading technique to perform database insertion of large data set with known size to enhance the performance of Data Access Layer (DAL) particularly on the bulk-insertion operation. The performance evaluation includes techniques such as using single database connection, multithreads the insertion process with respective database connections, single threaded bulk insertion and multithreaded bulk insertion.

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