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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

compared to previous releases is that the workload names have changed from TPC-C and TPC-H to TPROC-C and TPROC-H respectively and therefore a key question is how are the v4.0 The simple answer is nothing, the workloads are exactly the same workloads derived from the TPC-C and TPC-H specifications and HammerDB v4.0

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HammerDB v4.3 New Features Pt1: Graphical Metrics for PostgreSQL

HammerDB

This enables the user to compare and contrast performance across different benchmark scenarios. usr/bin/install -c -m 644./pg_stat_statements--1.4.sql./pg_stat_statements--1.8--1.9.sql./pg_stat_statements--1.7--1.8.sql./pg_stat_statements--1.6--1.7.sql./pg_stat_statements--1.5--1.6.sql./pg_stat_statements--1.4--1.5.sql. src/port -L././src/common

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I had attended these events when I was based in the UK, but became one of the organizers.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Derived Workloads.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

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From Heavy Metal to Irrational Exuberance

ACM Sigarch

These, let’s call them metal languages , include FORTRAN (introduced in 1957), C (1972), and C++ (1985). Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. Despite their age, these languages are far from dead! As Leiserson et al.

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