Acest site necesită browser-ul să fie activat JavaScript.
Vă rugăm să activați JavaScript și să reîncărcați această pagină.
Site-ul necesită browser-ul pentru a activa cookie-urile pentru a se autentifica.
Vă rugăm să activați cookie-urile și reîncărcați această pagină.
Carte romana
Carte rusa
Carte engleza
Vezi toate cartile
Top branduri cosmetica
Cosmetica Coreeana
Machiaj
Ingrijire ten
Ingrijire par
Ingrijire corp
Produse de baie
Igiena orala
Igiena intima
Igiena sexuala
Cosmetice barbati
Seturi cadou
Naturale si organice
Vezi toate cosmeticele
Top branduri dermatocosmetica
Protectie solara
Seturi cadou si pachete promo
Parfumuri pentru femei
Top branduri femei
Premium brands femei
Parfumuri unisex
Vezi toate parfumurile
Parfumuri pentru barbati
Top branduri barbati
Premium brands barbati
Jucarii si jocuri
Hrana si articole copii
Scutece si servetele
Rechizite si papetarie
Vezi toate produsele
Nutritie & Suplimente
Branduri
Andrew Michael BrookinsThe Temple of Django Database Performance, Paperback
în Pickup Point de la 599.99 MDL
în 14 de zile
înainte de plată
Most performance problems in web applications come down to one thing: the database.
With Django, the situation is no different -- in fact, in some ways it's even worse than that of our ORM-hating colleagues. Database performance tuning in Django involves a dizzying number of ORM API methods (defer, prefetch_related, iterator, and many more), mysterious alphabet letters (Q, F? ), and all of this rests on top of the already complex machinery of SQL queries and indexes.
I'm going to make a bold claim here: The only way to master Django is to master database performance. The difference between junior, mid-level, and senior Django engineers is usually a function of this mastery.
And to fully master database performance with Django, reading through API documentation is not enough. You need to become an expert. Here are some examples of what an expert knows that this book will teach you
How to use profiling and measurement tools like New Relic, Django Debug Toolbar, and database query plans to see exactly how badly a query performs in production
How to eyeball a query and know exactly the right index to speed it up (a covering index with INCLUDE? a partial index? a GIN index? You're going to tell me by the end of the book because YOU will be the expert)
How to use advanced techniques like server-side cursors with iterator(), custom Func() expressions, and keyset pagination with row comparisons to churn through millions of rows of data with ease
You will learn all of this and more through over 160 pages, 60 examples, and 30 quiz questions. By the end, you won't ever think of a Django ORM query the same again: it will exist simultaneously in your mind as an operational metric, ORM syntax, generated SQL, and a database execution plan. Because you will be an expert.
I can teach this because I have over ten years of experience working with Django and relational databases, both as an application developer and a platform engineer building databases as a service for Compose.com and IBM Cloud.
And did I mention that you're going to have fun? Yes, you read that right. This book is chock full of awesome fantasy art including a map of each chapter's core concepts. Why fantasy art? Because I play tabletop role-playing games and I require books to be fun.
So gaze upon the Sacrificial Cliff of Profiling. Get lost in the Labyrinth of Indexing. Ransack the Crypt of Querying. Then get back to saving the world from unbounded queries
Am aprecia părerea ta! Evaluați acest produs
Nu există comentarii de la alți utilizatori.