When to Use MongoDB Rather Than MySQL (or Other RDBMS)_ the Billing Example _ Javalobby

8/9/2019 When to Use MongoDB Rather Than MySQL (or Other RDBMS)_ the Billing Example _ Javalobby

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25/7/2014 When to Use MongoDB Rather than MySQL (or Other RDBMS): The Billing Example | Javalobby

http://java.dzone.com/articles/when-use-mongodb-rather-mysql 2/9

NoSQL is a hot buzz in the air for a pretty long time (well, it's not only a buzz anymore).

However, when should we really use it?

Best Practices for MongoDB

NoSQL products (and among them MongoDB) should be used to meet challenges. If you have one of

the following challenges, you should consider MongoDB:

You Expect a High Write Load

MongoDB by default prefers high insert rate over transaction safety. If you need to load tons of data

lines with a low business value for each one, MongoDB should fit. Don't do that with $1M transactions

recording or at least in these cases do it with an extra safety.

You need High Availability in an Unreliable Environment (Cloud and Real Life)

Setting replicaSet (set of servers that act as Master-Slaves) is easy and fast. Moreover, recovery

from a node (or a data center) failure is instant, safe and automatic

You need to Grow Big (and Shard Your Data)

Databases scaling is hard (a single MySQL table performance will degrade when crossing the 5-10GB

per table). If you need to partition and shard your database, MongoDB has a built in easy solution for

that.

Your Data is Location Based

MongoDB has built in spacial functions, so finding relevant data from specific locations is fast and

accurate.

Your Data Set is Going to be Big (starting from 1GB) and Schema is Not Stable

Adding new columns to RDBMS can lock the entire database in some database, or create a major

load and performance degradation in other. Usually it happens when table size is larger than 1GB (and

can be major pain for a system like BillRun that is described bellow and has several TB in a singletable). As MongoDB is schema-less, adding a new field, does not effect old rows (or documents) and

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will be instant. Other plus is that you do not need a DBA to modify your schema when application

changes.

You Don't have a DBA

If you don't have a DBA, and you don't want to normalize your data and do joins, you should consider

MongoDB. MongoDB is great for class persistence, as classes can be serialized to JSON and stored

AS IS in MongoDB. Note:If you are expecting to go big, please notice that you will need to followsome best practices to avoid pitfalls.

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BillRun - Billing on top of MongoDB | MUG IL, Feb 2014from oc666

Real World Case Study: Billing

In the last ILMUG, Ofer Cohenpresented BillRun, a next generation Open Source billing solution that

utilizes MongoDB as its data store. This billing system runs in production in the fastest growing cellular

operator in Israel, where it processes over 500M CDRs (call data records) each month. In his

presentation Ofer presented how this system utilizes MongoDB advantages:

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1. Schema-less designenables rapid introduction of new CDR types to the system. It let BillRun

keep the data store generic.

2. ScaleBillRun production site already manages several TB in a single table, w/o being limited by

adding new fields or being limited by growth

3. Rapid replicaSetenables meeting regulation with easy to setup multi data center DRP and HA

solution.

4. Shardingenables linear and scale out growth w/o running out of budget.

5. With over 2,000/s CDR inserts, MongoDB architecture is great for a system that must support high

insert load. Yet you can guarantee transactions with findAndModify (which is slower) and two-

phase commit (application wise).

6. Developer oriented queries, enable developers write a elegant queries.

7. Location basedis being utilized to analyze users usage and determining where to invest in cellular

infrastructure.

Bottom Line

MongoDB is great tool, that should be used in the right scenarios to gain unfair advantage in your

market. BillRun is a fine example for that.

Keep Performing,

Moshe Kaplan

Published at DZone with permission of Moshe Kaplan, author and DZone MVB. (source)

(Note: Opinions express ed in this article and its replies are the opinions of their respective authors and not those of DZone, Inc.)

Tags: MongoDB MySQL Tips and Tricks NoSQL Architecture Tools &

Methods

The NoSQL Zone is produced in partnership with Neo4jand Couchbase

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First Last replied on Mon, 2014/03/03 - 8:26am

> You Don't have a DBA

srlsly?

Loginor registerto post comments

Alex Staveley replied on Wed, 2014/03/05 - 10:12am

Nice article. I have heard Web developers makes the point that since Mongo is

more JSON friendly that is another argument to use it. So when AJAX requests are

sending and receiving if you use MongoDB, you get the option to persist andretrieve JSON very easily almost negating the need for a traditional server. What do

you think of that?


Sumendra Maharjan replied on Mon, 2014/06/09 - 11:48am

true, mysql and mongodb has their own territory, mongodb is new in the world of

database and is rapidly adopted by complex web application in conjunction with

nodejs. But in performancewise, mongodb wins as it is BSON based and no need of

JOIN operator to query multiple tables. Mongodb is popular and easy to used

because of it's simplicity and javascript friendly. Read Comparison Between MySQL

and MongoDB

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Moshe Kaplan replied on Tue, 2014/06/10 - 5:08pm

Hi Alex,

You are absolutly right!

The End to End JSON support is one of the best features of the MEAN platform

(that includes MongoDB as its initial),

Keep Performing,

Moshe Kaplan


in response to: Alex Staveley

Moshe Kaplan replied on Tue, 2014/06/10 - 5:09pm

Hi Sumendra,

This is a good analysis. Please notice that you need to be careful in MongoDB data

design to gain best performance,

Keep Performing,

Moshe Kaplan


in response to: Sumendra Maharjan
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When to Use MongoDB Rather Than MySQL (or Other RDBMS)_ the Billing Example _ Javalobby