Remove c
article thumbnail

Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

article thumbnail

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

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

PgBouncer provides a virtual database that reports various useful statistics. Performance Testing. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Testing Conditions. Administration.

article thumbnail

How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . uname -a Linux ubuntu19 5.3.0-rc3-custom

article thumbnail

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

C++ 40
article thumbnail

HammerDB v4.9 New Feature: Accelerate SQL Server builds with BCP

HammerDB

by @krithikasatish and @JoshInnis to provide accelerated load performance for both SQL Server TPROC-C and TPROC-H schemas. In our PC test the build started at 11:28:16 and ended at 11:30:27 meaning it took 2 minutes 11 seconds to build our 20 warehouse schema. With the default for v4.9 to have this feature enabled.

Servers 62
article thumbnail

HammerDB v4.8 New Features : Viewing your Benchmark results with the HammerDB Web Service

HammerDB

Copyright (C) 2003-2023 Steve Shaw Type "help" for a list of commands Initialized new Jobs on-disk database /opt/HammerDB-4.8/DATA/hammer.db On Windows it will look for TEMP, TMP, TMPDIR or finally C: for example, on Linux. In this example, we will run a PostgreSQL TPROC-C autopilot workload to generate some jobs to analyse.