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TPC-H Benchmark | StarRocks
TPC-H is a decision support benchmark developed by the Transaction Processing Performance Council (TPC). It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. TPC-H can be used to build models based on real production environments to simulate the data warehouse of a sales system. This test uses eight tables with a data size ranging from 1 GB to 3 TB. A total of 22 queries are tested and the main performance metrics are the response time of each query, which is the duration between the time a query is submitted to the time the result is returned.
Bing
TPC-H Benchmark | StarRocks
TPC-H is a decision support benchmark developed by the Transaction Processing Performance Council (TPC). It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. TPC-H can be used to build models based on real production environments to simulate the data warehouse of a sales system. This test uses eight tables with a data size ranging from 1 GB to 3 TB. A total of 22 queries are tested and the main performance metrics are the response time of each query, which is the duration between the time a query is submitted to the time the result is returned.
DuckDuckGo
TPC-H Benchmark | StarRocks
TPC-H is a decision support benchmark developed by the Transaction Processing Performance Council (TPC). It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. TPC-H can be used to build models based on real production environments to simulate the data warehouse of a sales system. This test uses eight tables with a data size ranging from 1 GB to 3 TB. A total of 22 queries are tested and the main performance metrics are the response time of each query, which is the duration between the time a query is submitted to the time the result is returned.
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