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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52
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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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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.

Servers 62
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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. With this feature Oracle generates a wealth of performance data that can be reviewed once the test is complete.

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HammerDB v4.7 New Features Pt 2: Example CLI Scripts

HammerDB

Docker build, example CLI scripts were added to build and run the TPROC-C workload in the Tcl language. these were enhanced to also add Python based scripts, and to include scripts for both TPROC-C and TPROC-H and a driver script for Linux environments. With the HammerDB v4.5 In HammerDB v4.6 With HammerDB v4.7

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HammerDB v4.3 New Features Pt1: Graphical Metrics for PostgreSQL

HammerDB

HammerDB included a graphical performance metrics view for the Oracle database only. HammerDB includes the same functionality for PostgreSQL enabling the user to drill down on database metrics in real time. This enables the user to compare and contrast performance across different benchmark scenarios. usr/bin/install -c -m 644./pg_stat_statements--1.4.sql./pg_stat_statements--1.8--1.9.sql./pg_stat_statements--1.7--1.8.sql./pg_stat_statements--1.6--1.7.sql./pg_stat_sta

Metrics 62
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HammerDB v4.3 New Features Pt2: Enhanced Webservice with SQLite repository

HammerDB

cloud based usage led to the development of a HammerDB HTTP based web service interface with output data stored in a SQLite database repository. ws_port defines on which port to start the HTTP service, whilst sqlite_db sets the location of the SQLite repository database. Running a schema build. HammerDB Web Service v4.3 Job status.