![]() ![]() Without interquery parallelism, all queries will perform like a single processor in a time-shared manner. The more the number of users more the queries will be generated. ![]() Every query is independent and relatively takes a very short time to execute. Interquery parallelism does not speed up the process as there is only one processor to take care of the query which is being executed. There are different server threads that can handle multiple requests at the same time. When multiple requests are submitted then the system can execute the requests in parallel and increase the throughput. It can efficiently handle a large number of client requests in a few seconds. The advantage of interquery parallelism is the implementation of multi-server and multithreaded systems. It supports a significant number of transactions per second. The main purpose of interquery parallelism is that you can increase in transaction processing. The response time of transactions which are present will not be faster than the ones when running in isolation. In interquery parallelism, there are different queries or transactions which are run in parallel. Hadoop, Data Science, Statistics & others ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
January 2023
Categories |