Database deployment: still hard after all these years - Data Saturday #1

The feature we always hear about whenever Java 9 is in the news is Jigsaw, modularity. But this doesn't scratch the same developer itch that Java 8's lambdas and streams did, and we're left with a vague sensation that the next version might not be that interesting. Java 9 actually has a lot of great additions and changes to make development a bit nicer. These features can't be lumped under an umbrella term like Java 8's lambdas and streams, the changes are scattered throughout the APIs and language features that we regularly use. In this presentation Trisha will show, via live coding: How we can use the new Flow API to utilise Reactive Programming How the improvements to the Streams API make it easier to control real-time streaming data How to the Collections convenience methods simplify code Along the way we'll bump into other Java 9 features, including some of the additions to interfaces and changes to deprecation. We’ll see that once you start using Java 9, you can't go back to Before.

Data Saturday #1 - Pordenone 27 February 2021 https://datasaturdays.com/events/datasaturday0001.html

Software

#datasatpn
February 27th, 2021
Database deployment:
still hard after all these years
Giulio Vian
@giulio_vian

In a Start-up far far away
DBA
Senior Dev
Scrum
Master
Junior
Dev

Free!
Troppo bello per
esser vero
• gratis
• open source
• tutti i DB!
• ed è pure usato
• e funziona!

Hardware spec:
1 KB RAM
(16KB after upgrade)
4 KB ROM
(8KB after upgrade)
First computer Past Companies Communities
Giulio Vian Senior DevOps Engineer
@giulio_vian
giuliovdev@hotmail.com

Agenda
Paradigmi cambiamento
Modifiche ai dati
Test Automatizzati
Pipeline e Automazione
Tecniche per il Deploy

Migration-based
Source: https://www.red-gate.com/hub/product-learning/sql-source-control/moving-from-application-automation-to-true-devops-by-including-the-database

Il Limite di DbUp
ma anche di FlyWay, Liquibase, e simili

Script di migrazione independentI
conflict

State-based
Source: https://www.red-gate.com/hub/product-learning/sql-source-control/moving-from-application-automation-to-true-devops-by-including-the-database

Diff script from schema-based tool
uh oh

Migration based
v1  v2
Non rileva conflitti
L’ordine è cruciale
State based
v1  v2
Non riconosce i rename
Azzera eventuali
differenze
I due paradigmi

Migration based
v1  v2
State based
v1  v2
I due paradigmi

Are the two mutually exclusive?
No
Dev can use a Schema diff tool like SSDT to generate
migration scripts
Migration script can be augmented stating the baseline
version
State-based tools have pre- and post-deploy phases for data
migration
We can add dependency check between migration scripts
To warn about scripts interaction and dependency
MS T-SQL syntax parser available for .Net

Powershell basta per un
controllo della baseline

Modifiche ai dati
e gestione di sviluppi paralleli

Quale DB per gli Sviluppatori?
Privato Condiviso

Dati realistici
Dimensioni
Requisiti di riservatezza
Pre-trattamento
Spazio occupato

Conseguenze
Problemi tecnici
Durata del Deployment
Performance delle query
Problemi commerciali e legali
Abuso di informazioni

Unit testing
tSQLt
Open source database Unit Testing
framework for SQL Server
https://tsqlt.org/
DbUnit
JUnit extension
http://www.dbunit.org/
NDbUnit2
.NET library for managing database state
during unit testing
https://github.com/savornicesei/NDbUnit
2
DbFit
Fitness style (Java+Jdbc)
http://dbfit.github.io/dbfit/
Respawn
Intelligent database cleaner for
integration tests
https://github.com/jbogard/Respawn

Oltre lo schema
Containers
Macchine virtuali
Snapshot di volumi

Elementi Chiave
In input solo sorgenti
Pacchetti (es. dacpac) vanno in un Artifact Store
e devono essere il risultato di una build
Istanze di database per la build
Ad ogni Branch la sua Istanza
Gestione delle credenziali

Database Refactoring Cycle
Initial state Final state
Implement the refactoring
Test on non-production
Refactoring completed
deploy new schema,
migrate data
deploy new application version

Database Refactoring Cycle
Initial state Final state
Transitional state
Implement the refactoring
Test on non-production
Refactoring completed
All systems use the new schema
Coexistence of
old and new schema
Expand:
deploy new schema,
migrate data,
add scaffolding code
Contract:
Drop old schema objects
and scaffolding code

La morale
Nessun tool
ti può salvare
Studiare è
l’unico modo
di prevenire
problemi
Disciplina,
tanta
disciplina

References
Tools
SQL Server Data Tools (SSDT)
RedGate SQL Compare
devart
Flyway
dbup
dbdeploy.net
Articles
https://en.wikipedia.org/wiki/Sc
hema_migration
https://martinfowler.com/article
s/evodb.html
https://michaeljswart.com/2018
/01/100-online-deployments
http://blog.dixo.net/2015/02/bl
ue-turquoise-green-deployment
Books
Refactoring Databases:
Evolutionary Database Design
http://www.agiledata.org/

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