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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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Further improved handling and reliability of OneAgent deployments

Dynatrace

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Dynatrace documentation lists several additional parameters that the installation process accepts (the link points to Linux customization, but other OSs are supported in a similar way).

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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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The Return of the Frame Pointers

Brendan Gregg

The x86-64 ABI documentation shows how a CPU register, %rbp, can be used as a "base pointer" to a stack frame, aka the "frame pointer." It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based.

Java 145
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How to Assess MySQL Performance

HammerDB

There are several ways to find out this information with the easiest way being by referring to the documentation. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. Instead, readers should refer to the HammerDB documentation. For storage, FIO is generally used.

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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. Metrics view for benchmark. When a benchmark workload has completed, use the selection tool in the graph to select the metrics for a period of time of interest. PostgreSQL Graphical Metrics.

Metrics 62
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.