We need a reasonable insert and query speed over huge tables so I considered using some noSQL adapter with Django. Unfortunately:
Django does not provide official support for noSQL databases.
In our original schema some Big Data are relational to other Big Data making the data duplication unacceptable.
Project deadlines are enemies of hot stuff like this.
So, as far I can see, PostgreSQL should be the way to go for this scenario, right?!
Please let me know any other detail that may be relevant to this question!
Bonus to anyone that can point out some useful database techniques like database sharding...
Well, there is a fork of django project that uses MongoDb as the backend.You can read about it here . The Code on GitHub is here.You give some heads up, MongoDB is a NOSQL db that does support sharding and replication. So i think this might something that you are looking for.
I am not that experienced with django yet, but we are creating a project soon and we were wondering which database to use for our backend (Mongodb or PostgreSQL).
I've read a lot of post saying the differences between each, but I still can't take the decision of which to go for. Taking in consideration I never worked with Mongodb before.
So what shall I go for ??
Thanks a lot in advance
MongoDB is non-relational, and as such you cannot do things like joins, etc.
For this reason, many of the django.contrib apps, and other 3rd-part apps are likely to not work with mongodb.
But mongodb might be very useful if you need to store schemaless complex objects that won't go straight into postgresql (of course you could json-serialize and put in a text field, but using mongodb instead is just way better, allows you doing searches, ..).
So, the best suggestion is to use two databases:
PostgreSQL for the standard applications, such as django core, authentication, ...
MongoDB only for your application, when you have to store non-relational, complex objects
You also might want to use the raw_* methods that skip lots of (mostly unnecessary) validation by the django orm.
Just remember that databases, especially sql vs no-sql, are not drop-in replacements of each other, but instead they have their own features, pros and cons, so you have to find out which one suits best your needs in each case, not just pick one and use it for everything.
UPDATE
I forgot to say: remember that you have to use the django-nonrel fork in order to make django support non-relational databases. It is currently a fork of django 1.3, but a 1.4-based version is work-in-progress.
i'm new to the nosql world, and from forums and articles that i've read: most of users try to "mix" nosql tools, for example, they use Cassandra and MongoDB together to make a "powerful system", because am beginning with MongoDB, i've downloaded the DjanMon project (am a django fan ^_^ ), of course i've downloaded the special version of django that accepts the NoSql use: Django NonRel, and i've noticed that the Setting file dont "oblige" you to use one specific NoSql solution like in Django with RDBMS where you must specify MySql or PostegreSql or other solution, so, is it possible to mix lot of (or two of course) NoSql solution using Django (for example MongoDB+Cassandra)?
There's nothing to stop you using multiple storage solutions, whether SQL or NoSQL - but the NoSQL solutions all have different architectures, data models and APIs (For example, MongoDB is a document-oriented database, whereas Cassandra is Column-oriented), so you can't usually swap one for another without some effort.
Can you clarify what you are actually trying to achieve? I.e. why are you interested in mixing these two specific solutions?
Sorry for this question, I dont know if i've understood the concept, but SQLite is Serverless, this means the database in in a local machine, and it's stored in one file, this file is only accessible on one mode: if one client reads it, it's made only for reading mode for other clients, and if a client writes, then all clients have the write mode, so only in one mode at once!
so imagine that i've made a django application, a blog for example; then how is this made using sqlite? since if a client enters to the blog he gots the reading mode to see the page and the blog entries, and if a registred client tries to add a comment then the file will be made as write mode, so how can sqlite handle this?
so, does SQLite is here just like the BaseHTTPServer (the server shipped with django), for testing and learning purpose?
Different databases manage concurrency in different ways, but in sqlite, the method used is a global database-level lock. Only one thread or process can make changes to a sqlite database at a time; all other, concurrent processes will be forced to wait until the currently running process has finished.
As your number of users grows; sqlite's simple locking strategy will lead to increasingly great lock contention, and you will need to migrate your data to another database, such as MySQL (Which can do row level locking, at least with InnoDB engine) or PostgreSQL (Which uses Multiversion Concurrency Control). If you anticipate that you will get a substantial number of users (on the level of say, more than 1 request per second for a good part of the day), you should migrate off of sqlite; and the sooner you do so, the easier it will be.
SQLite is not like BaseHTTPServer or anything basic like that. It's a fully featured embedded database. Quite fast too. Its SQL language might not have the most bells and whistles, but it's flexible enough. I haven't run into cases where I needed something it cannot do for the projects I was involved in (which aren't your typical web apps, truth be told).
Anyone that claims SQLite is good or bad for production without discussing the actual design is not telling you much. SQLite is pretty fast. In some cases, literally orders of magnitude faster than, say, Postgres, which comes up as a go-to alternative among Djangonauts. As someone pointed out, it also supports lots of concurrency. It's a matter of whether your app falls under the 'some cases' or not.
Now, there is one significant factor that has to be taken into account. SQLite is an in-process database. This is really important. If you are using something like gevent, you may run into edge cases where your app breaks. E.g., trying to do a transaction where you have a context switch in middle of it can possibly break the transaction in horrible ways. In other words, 'concurrency' really depends on your app, because SQLite is part of your app.
What you can't do with SQLite, though, in terms of scaling, is you can't make clusters of SQLite servers like you can with some of the other database engines, because it's in-process. Your app may or may not need to go to such lengths in terms of scaling, but my guess is that vast majority of apps out there don't anyway (wild guess).
On the other hand, being in-process means adding custom functions and aggregates to it is pretty trivial. I'm not sure if Django's ORM makes that any more difficult than it has to be, but you can come up with pretty good designs taking advantage of those features.
This issue in database theory is called concurrency and SQLite does support it in Windows versions > Win98 and elsewhere according to the FAQ:
http://www.sqlite.org/faq.html#q5
We are aware of no other embedded SQL database engine that supports as
much concurrency as SQLite. SQLite allows multiple processes to have
the database file open at once, and for multiple processes to read the
database at once. When any process wants to write, it must lock the
entire database file for the duration of its update. But that normally
only takes a few milliseconds. Other processes just wait on the writer
to finish then continue about their business. Other embedded SQL
database engines typically only allow a single process to connect to
the database at once.
Basically, do not worry about concurrency, any database worth its salt takes care of just fine. More information on as how SQLite3 manages this can be found here. You, as a developer, not a database designer, needn't care about it unless you are interested in the inner-workings.
SQLite will only work effectively in production from some specific situations. It's quite easy to get MySQL or PostgreSQL up and running, even on Windows, and have a database that works in most situations.
The real problem is that SQLite3 isn't threaded in Django so only one PAGE view can happen at a time on your server, see this bug https://code.djangoproject.com/ticket/12118 Fixed
I don't use SQLite3 even in development.
EDIT: I keep getting downvoted here but the Django documentation itself recommended not using SQLite3 in Production at the time I wrote this answer. The documentation still contains the following caveat:
SQLite provides an excellent development alternative for applications that are predominantly read-only or require a smaller installation footprint.
If you do not have a small foot print/read-only Django instance, do NOT use SQLite3. Feel free to continue to downvote this answer.
It is not impossible to use Django with Sqlite as database in production, primarily depending on your website/webapp traffic and how hard you hit your db (alongside what kind of operations you perform on it i.e. reads/writes/etc). In fact, approaching end of 2019, I have used it in several low volume applications with less than 5k daily interactions (these are more common than you might think).
Simply put for the current state of tech , at the moment Sqlite-3 supports unlimited concurrent reads (or as far as your machine / workers can handle), BUT only a single process can write to it at any point in time. Bear in mind, a well designed query/ops to the db will last only miliseconds!
Coming from experience in using sqlite as the only db for simple non-routine (by non-routine i mean that a typical user would not be using this app on a daily basis year-round) production web app for overseas job matching that deal with ~5000 registered students (stats show consistently less than 2k requests per day that involves hitting the database during peak season - 40% write 60% read), I've had no problems whatsoever with timeouts/performance issues.
It really boils down to being pragmatic about the development and the URS (client spec). If it becomes the next unicorn , one can always migrate the SQLITE to another RDBMS. For instance, see David d C e Freitas's take on migration in Quick easy way to migrate SQLite3 to MySQL?
Additionally the SQLITE website uses sqlite db at its backend .. see below...
The SQLite website (https://www.sqlite.org/) uses SQLite itself, of course, and as of this writing (2015) it handles about 400K to 500K HTTP requests per day, about 15-20% of which are dynamic pages touching the database. Dynamic content uses about 200 SQL statements per webpage. This setup runs on a single VM that shares a physical server with 23 others and yet still keeps the load average below 0.1 most of the time.
Bear in mind that the above quote is of course mainly referring to read operations, so the values may not be a applicable for write-heavy sites.
The example I gave above on the job matching application I built using sqlite as db is quite write heavy if you've noticed the numbers ... on average, 40% are short lived write operations (i.e. form submissions, etc etc) but bear in mind my volume hitting the db is only 2k per day during peak season.
Then again, if you realize that your sqlite.db is causing alot of timeout and bad user experience (408 !!! on form submission...), especially with Django throwing the OperationalError: database is locked error. (and then they have to key in the whole thing again)...You can always increase the timeout in your settings.py as per django docs as a temporary solution while you prepare for migrating the db.
'OPTIONS': {
# ...
'timeout': 20,
# ...
}
Again, it all boils down to pragmatic development and facing reality that the site may not attract as much activity as hoped , and is prone to over-engineering from the get-go.
There are many times that going for a simple solution enables faster time to market , essentially, to quickly test waters , and of course, be prepared If the piranhas do come in swarms and then its time to upgrade to another RDBMS.
With Django's ORM, for most cases you dont need to touch your models.py during migration to other supported sql db. Be VERY mindfull though that Sqlite does not support some more advanced functions or even fields that its bigger cousins MYSQL and POSTGRES do.
Late to the party, but the question is still relavant as of mid 2018.
"Client" of a blog site is a different term that a "database client". SQLite documentation refers to a client as a process opening a database file. Such process, say a django app, may handle many web app clients ("users") simultaneously and it still is going to be just one client from the standpoint of SQLiite.
The important consideration for choosing SQLite over proper RDBMS is whether your architecture is comprised of more than one software component connecting to a database. In such case, using SQLite may be a major performance bottleneck due to the fact that each app needs to access the same DB file, possibly over a network.
If multiple apps(database clients) is not the case, SQLite is a great production choice in 99% of cases. The remaining 1% is apps using specific DB features, apps under enormous load, etc.
Know your architecture.
The anwer to this question depends on the application that you want to deploy in production:
According to the how to use from the SQLite website, SQLite works great in production as the database engine for most website having low to medium traffic (which is to say, most websites).
They argue that the amount of web traffic that SQLite can handle depends on how heavily you use the database of your website. It is known that any site that gets fewer than 100K hits/day should work fine with SQLite. However, this 100K hits/day figure is a conservative estimate, not a hard upper bound.
In summary, SQLite might be a great choice for applications with fewer users and databases uses. Thus, use SQLite for website with fewer or medium interactions with the database and MySQL or PostgreSQL for website with higher interactions with the database.
Reference: sqlite.org
Django (http://djangoproject.com) framework currently supports the following databases: PostgreSQL, SQLite 3, MySQL 5 and Oracle. This question is not about the comparison of these databases, contrariwise I want to know details about their compatibility with Django and how one should choose an adequate database for a simple (but growing) project.
It depends. If you don't want to pay the (huge) premium for Oracle, your choice is between MySQL and PostgreSQL (SQLite is mostly meant for development, not production). PostgreSQL seems to be the choice of most Django core devs (Andrew Godwin went as far as putting "friends don't let friends use MySQL" into a DjangoCon talk). Nevertheless, MySQL is fully supported by Django and is used by many Django websites in production.
IMHO, PostgreSQL has two clear advantages over MySQL:
If you use GeoDjango. There's really no alternative to PostGIS. MySQL's GIS support is lackluster at best.
South. MySQL is not able to use transactions during schema migrations, which means if a South migration goes awry, you're hanging between two migrations without clear way forward or backward. PostgreSQL saves a lot of pain in such situations.
The quick answer is it doesn't really matter but if I had to pick one, it would probably be PostgreSQL.
The original Django developers heavily recommended PostgreSQL in the early days. PostgreSQL is arguably/technically a 'better' database then MySQL so if you've never used it before it might be worth investing some time to lean it.
Now-a-days though I'd say it's safe to assume that all the DB drivers work equally well. So if you are more familiar with MySQL or Oracle there should be no problems using them instead. I've only used Django with MySQL and haven't had any problems.
All of the pluggable databases are supported, meaning, the the model/db-layer will abstract the db-specifics for you. As for performance, I'd suggest MySQL 5 or Postgresql. Oracle will definitely perform well, but might be more expensive in the long run. If you are just started your project, sqlite3 is your friend, simply because the it will be setup within seconds.
Handling parallel settings for development and production has been discussed in various blog posts, e.g. in this one:
http://ericholscher.com/blog/2011/jan/10/handling-django-settings-files/