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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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Using Huge Pages with PostgreSQL Running Inside Kubernetes

Percona

Modern servers operate with terabytes of RAM, and by default, processors work with virtual memory address translation for each 4KB page. OS maintains a huge list of allocated and free pages to make slow but reliable address translation from virtual to physical. Kubectl helps to check the amount of huge pages available.

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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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CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment Davis et al., And this all has to work for whole-system executions, not just the C-language portion of user processes. ASPLOS’19. The protections are hardware implemented and cannot be forged in software.

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HammerDB v4.3 New Features Pt2: Enhanced Webservice with SQLite repository

HammerDB

this web interface has been enhanced to add command line functionality to the service as well as extending the ability to query the database of configuration, results and timing data to be returned in JSON format, enabling a long-term repository of HammerDB benchmark data for integrating HammerDB into service based cloud environments.

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A MyRocks Use Case

Percona

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. TPC-C on MyRocks.

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HammerDB CLI 101

HammerDB

This displays the available CLI commands with “help command” providing detailed information about the command and arguments required. This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. In the CLI the print dict command shows us the available options.