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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).

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View from Nutanix storage during Postgres DB benchmark

n0derunner

In this example from prior post. The Linux VM running postgres has two virtual disks – one taking transaction log writes. Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files.

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Azure Virtual Machines for SQL Server Usage

SQL Performance

One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload. Microsoft currently has eight main types of virtual machines designed for different types of workloads. For example, compare the three possible VM choices shown in Figure 3.

Azure 72
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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

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The Return of the Frame Pointers

Brendan Gregg

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). These partial stacks get grouped together on the left. Click here for a longer explanation. You usually get an extra junk frame.

Java 145
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Static Analysis of Java Enterprise Applications: Frameworks and Caches, the Elephants in the Room

The Morning Paper

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., This means for example that it can be applied to analyse source code repositories and pull requests, be used as an additional test in CI pipelines, and even give assistance in your IDE if it’s fast enough.

Java 80
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The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 137