MyBenchmark: generating databases for query workloads
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'To evaluate the performance of database applicationsand database management systems (DBMSs), weusually execute workloads of queries on generated databasesof different sizes and then benchmark various measuressuch as respond time and throughput. This paper introducesMyBenchmark, a parallel data generation tool that takes aset of queries as input and generates database instances.Users of MyBenchmark can control the characteristics ofthe generated data as well as the characteristics of the resultingworkload.Applications of MyBenchmark includeDBMStesting, database application testing, and application-drivenbenchmarking. In this paper, we present the architecture andthe implementation algorithms of MyBenchmark. Experimentalresults show that MyBenchmark is able to generateworkload-aware databases for a variety of workloads inclu' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Benchmarking","Data Generation","Performance","Query Processing","TPC-E"]} <|eot_id|>
 Here is the Description of a dataset. Description:'To evaluate the performance of database applicationsand database management systems (DBMSs), weusually execute workloads of queries on generated databasesof different sizes and then benchmark various measuressuch as respond time and throughput. This paper introducesMyBenchmark, a parallel data generation tool that takes aset of queries as input and generates database instances.Users of MyBenchmark can control the characteristics ofthe generated data as well as the characteristics of the resultingworkload.Applications of MyBenchmark includeDBMStesting, database application testing, and application-drivenbenchmarking. In this paper, we present the architecture andthe implementation algorithms of MyBenchmark. Experimentalresults show that MyBenchmark is able to generateworkload-aware databases for a variety of workloads inclu' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
To evaluate the performance of database applicationsand database management systems (DBMSs), weusually execute workloads of queries on generated databasesof different sizes and then benchmark various measuressuch as respond time and throughput. This paper introducesMyBenchmark, a parallel data generation tool that takes aset of queries as input and generates database instances.Users of MyBenchmark can control the characteristics ofthe generated data as well as the characteristics of the resultingworkload.Applications of MyBenchmark includeDBMStesting, database application testing, and application-drivenbenchmarking. In this paper, we present the architecture andthe implementation algorithms of MyBenchmark. Experimentalresults show that MyBenchmark is able to generateworkload-aware databases for a variety of workloads inclu
Benchmarking; Data Generation; Performance; Query Processing; TPC-E