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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

So instead we are going to take a cut down version of the HammerDB TPROC-C driver script and do the same in Python and use the HammerDB infrastructure to measure performance. (We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test). usr/local/bin/tclsh8.6

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Failover and Recovery Scenarios in InnoDB Cluster and ClusterSet

Percona

3308 ssl JS > c root@localhost:3308 MySQL localhost:3308 ssl JS > cluster1=dba.getCluster() MySQL localhost:3308 ssl JS > cluster1.status() 3308", "memberRole": "SECONDARY", "memberState": "(MISSING)", "mode": "n/a", "readReplicas": {}, "role": "HA", "shellConnectError": "MySQL Error 2003: Could not open connection to '127.0.0.1:3308':

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. SELECT DISTINCT c from sbtest where id between ? order by c. SELECT c from sbtest where id=? Copyright (C) 2003-2018 Steve Shaw.

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HammerDB: Using MySQL 5.7 vs 8.0 to understand performance profiles

HammerDB

One of the most important concepts in analysing database performance is that of understanding scalability. Plotting these data points enables us to understand the scalability of the database software being tested on that system. In particular, this means as we add CPU cores and increase the system load, we see higher performance.

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HammerDB Best Practice for PostgreSQL Performance and Scalability

HammerDB

This post gives a HOWTO guide on system configuration for achieving top levels of performance with the HammerDB PostgreSQL TPC-C test. D isabling all C-states or Idle states is likely to reduce overall performance by reducing the available turbo frequency. Copyright (C) 2003-2018 Steve Shaw. hammerdbcli.

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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. Heckerman, and C. DG12] How Companies Learn Your Secrets, C. Kleinberg, C.

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HammerDB Concepts and Architecture

HammerDB

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. These bin and lib directories are not included with the source code. You can download and compile TCL/TK 8.6