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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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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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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.

C++ 101
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HammerDB v4.8 New Features : Viewing your Benchmark results with the HammerDB Web Service

HammerDB

Configuring the Jobs Database The base configuration is set in the xml files in the config directory with the jobs SQLite database being set in the commandline section of generic.xml by specifying the filename. 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

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

Scalegrid

PgBouncer defines one pool per user+database combination. A client benefits from a pooled connection only if it connects to a child which has previously served a connection for this database+user combination. PgBouncer allows limiting connections per-pool, per-database, per-user or per-client. When are connections reused?

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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.

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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. This earlier functionality has the advantage that there are no intermediate staging files required, and data is inserted into the database with multi-row inserts as soon as it is created.

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