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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. On MySQL, we saw a 1.5X

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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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Real Time Oracle Performance Monitoring for Benchmarks

HammerDB

An essential part of database performance testing is viewing the statistics generated by the database during the test and in 2009 HammerDB introduced automatic AWR snapshot generation for Oracle for the TPC-C test. However what if you want to review performance data in real time as the test is running?

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How to Assess MySQL Performance

HammerDB

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 For storage, FIO is generally used.

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HammerDB v4.7 New Features Pt 3: Lightweight Docker Images for rapid testing

HammerDB

introduces more lightweight database specific Docker Images, so if you only want to run benchmarks against a specific database you can go from having no benchmarking environment to reviewing your results in as little as 3 commands. How to deploy HammerDB CLI fast with Docker HammerDB v4.7 Copy Code Copied Use a different Browser.

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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

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Why both TPM and NOPM Performance Metrics?

HammerDB

The reason for reporting both TPM and NOPM performance metrics is for both historical and performance reasons. This also brings additional benefit that if the values diverge it may indicate errors in the testing. Firstly for database performance engineering studies TPM relates directly to the metrics captured from the database.

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