Overview

Welcome to pgSimload !

pgSimload is a tool written in Go, and accepts 3 different modes of execution:

• SQL-Loop mode to execute a script infintely on a given schema of a given database with a given user

• Patroni-Watcher mode to execute a monitoring on a given Patroni cluster. This is usefull only if... you run Patroni

• Kube-Watcher mode to have a minimal monitoring of a given PostgreSQL cluster in Kubernetes

Given the mode you choose, some parameters are mandatory or not. And the contexts of executions are different. Please refer to the complete documentation in docs/pgSimload.doc.md.

Alternatively, you can download the documentation in PDF format.

Running, Building and Installing binary

Running with Go

This is very straightforward if you have Go installed on your system. You can run the tool with Go from the main directory of the project like:

$ go run . <parameters...>
$ go run . -h

Using binaries provided

If you don't have Go installed on your system, you can also just use one of the binaries provided in bin/.

If you want to build your own binary you can build it too, as described in the next paragraph.

Feedback is welcome in any cases!

Building binaries

You can use the provided script build.sh.

$ sh build.sh

DEB and RPM packages

We've started tests to build those packages but at the moment, the work hasn't finish yet. But do you really need this, since pgSimload is a standalone binary ?

Usages

This tool can be used in different infrastructures:

• on the localhost, if a PostgreSQL is running on it

• on any distant stand-alone PostgreSQL or PostgreSQL cluster, in bare-metal of VMs

• on any PostgreSQL stand-alone PostgreSQL or PostgreSQL cluster running in a Kubernetes environment.

This tool as different usages, and you probably think of some that I haven't listed here:

• just initiate a plain select 1, a select count(*) from..., whatever you find usefull. But pgSimload won't get you results back from those executions

• insert dummy data (mostly randomly if you know about, mostly, generate_series() and random() PostgreSQL functions) any DB with the schema of your choice and the SQL script of your choice

  • if your database doesn't have a schema yet, you can create in a create.json file. Look for examples on how to do that in the examples/SQL-Loop/ directory. It should straightforward. That file is not mandatory, as pgSimload need at least a -config <file> and a -script <file> to run, in SQL-Loop mode.

  • the SQL script of your choice. For that purpose you create a plain SQL file, where you put everything you want in it. It will be run in an implicit transaction, and can contain multiple statements. If you want details on how pgSimload runs those statements at once, please read chapter Multiple Statements in a Simple Query in the PostgreSQL's documentation.

  • you can set special parameters to the session like SET synchronous_commit TO 'on' or SET work_mem TO '12MB' if you want the SQL script's sessions to be tweaked depending your needs. This is usefull to compare the performances or behaviour in replication or others things. For that you'll have to use the -session_parameters <session_parameters.json> parameter for pgSimpload. Otherwise, without this, every DEFAULT values will of course apply.

  • if you're too lazy to gather those session parameters, you can create a template file you can letter modify and adapt to your needs. For that pgSimload will create a template file in the name you want, based on a given connection. Look for -create_gucs_template in this documentation.

  • this "dummy data insertion" is most often used to simulate some write work on a PostgreSQL server (standalone or the primary of a PostgreSQL cluster with a(some) replica(s).

  • the SQL-Loop mode execution can be limitated to:

    • a number of loop exections you define thanks to the -loops <int64> parameter and/or

    • a given execution time of your choice you can define thanks to the -time duration parameter, where that duration is expressed with or without simple or double-quotes like in "10s", 1m30s or '1h40m'

    • if both parameters are used at the same time, the SQL-Loop will end whenever one or the other condition is satisfied

  • the rate of the iterations can be slowed down since version 1.2.0 thanks to the -sleep duration parameter, where a duration is expressed the same way -time duration is (see upper). If this parameter is set to anything else that 0, pgSimload will sleep for that amount of time. This is usefull if you want to slow down the SQL-Loop process. It also avoid the user to manually add like a select pg_sleep(1); at the end of the SQL script used with -script. So it's faster to test different values of "sleeping" by recalling the command line and changing the value there instead of editing that SQL script...

• test failovers, or what happens when a DB is down: pgSimLoad handles those errors. Give it a try: simply shuting down your PostgreSQL server while it runs... You'll see it throwing errors, then restarting to load once the PostgreSQL server ("primary" if you use replication) is back.

• monitor a PostgreSQL cluster that uses Patroni, with the special --patroni <config.json> parameter, that has to come with a --config <config.json> where the later will use mandatorily the postgres user, because, on that mode, we use a special trick to get the primary's name, and this trick can only be done by a superuser in PostgreSQL (so it can be something else than postgres, if you set another superuser).

• so when testing a PostgreSQL cluster using Patroni, with multiple hosts (a primary and a given number of replicas, synchronous or not), usually, pgSimload is run in 2 separate terminals, one to load data, and the other, to monitor things in Patroni.

  • note the Patroni-Watcher mode can have added information thanks to the Replication_info set to nogucs or <list of gucs separated by a comma (e.g "synchronous_standby_names, synchronous_commit, work_mem") in the patroni.json config file passed as an argument to -patroni <patroni.json> parameter. If set to nogucs, no extra GUCs are shown, only the info from pg_stat_replication will be

• monitor a PostgreSQL cluster that runs in Kubernetes, wheter this solution uses Patroni or not for HA: this mode only uses some kubectl commands to gather only the relevant information to monitor things, like who's primary, who's replica, the status of each, etc. This mode has been tested against the Postgres Operator (aka PGO), from CrunchyData, and the operator from CloudNativePG. You'll find in the example/Kube-Watcher/ directory proper configuration JSON to use in both cases

• demo Crunchy Postgres, a fully Open Source based PostgreSQL distribution using extensively Ansible

• demo Crunchy Postgres for Kubernetes, a fully Open Source based PostgreSQL distribution to run production workloads in Kubernetes