Showing posts with label MongoDB. Show all posts
Showing posts with label MongoDB. Show all posts

Friday, July 20, 2012

Grunt watch and the Node.js require cache revisited

Still inspired by James Shore's series "Let's Code: Test-Driven Javascript",  I've been continuing with my endeavors to get the Grunt watch stuff working flawlessly(?).

In my last post I mentioned some niggles that were remaining from my previous workaround.
  • The workaround only addresses the Mongoose issue
  • The workaround assumes intimate knowledge of Mongoose
  • Grunt watch still explodes silently when unhandled errors are encountered in tests
    • undefined references
    • nonexistent requires
    • etc.
The good news is that I think I have addressed all of these. In addition to that I've figured out some stuff about how to extend grunt and how to manipulate the Node.js require cache.

First off I thought I'd take a look at Mocha to see if it handled things better. After all Mocha also has a watch function.
  • Mocha watch does not explode on undefined references (which is nice)
  • Mocha watch does still explode on nonexistent requires (actually I didn't find this out till much later on when integrating with grunt)
  • Mocha watch still failed to handle my Mongoose issue
  • Unfortunately Mocha watch doesn't integrate with JSHint and actually I'd quite like to lint my code on file changes too
So despite only having a small advantage in not falling over so much I thought Mocha showed more promise than NodeUnit and as James noted it is much more active on GitHub. In fact it's under the same banner as Express and Jade which are definitely very popular and well maintained frameworks for Node.js.

Next thing was to integrate Mocha with Grunt so that i can use the Grunt watch function to both lint and run tests on file changes.

The nice thing about writing my own task to run Mocha instead of NodeUnit is that it was then quite easy to fix the issue of exploding on nonexistent requires... It just needed a try/catch around the mocha.run call. In retrospect I could probably have added this to the existing NodeUnit task but by the time I got to this point, I'd already ported all my tests to Mocha.

[A short interlude on Mocha and Should...]

James noted in his videos that Mocha is targeted as a BDD test framework and as such he is not so keen on it's verbosity. I can see what he means but, to be honest, I don't find it much of an issue and in fact quite like it, so for a while at least, I think i'll stick with it.

I also tried the should.js assert library that provides an interesting take on asserts by making them a bit more natural language like. Things like: thing.should.have.property(things).with.length(5);

On first take I thought cool and went full steam ahead in making all my asserts like this. Currently though I'm not sure I like it.

For one, I keep thinking that I should be able to write something in a natural way but find that it's not really supported - it kinda feels like I'm being teased. This will lessen I guess as I really learn the idioms.

A more annoying problem though is related to the way Javascript handles types and comparisons. I keep finding comparisons that i think should work and don't and then comparisons that I think shouldn't work and do! I think this is made worse by hiding the comparisons inside assert functions. As a result I'm starting to come to the opinion that not only is the should framework more trouble than it's worth but in fact any assert framework that hides comparison logic is not such a good idea to use in tests in Javascript. This includes very standard things like: assert.equal(object1, object2);

I may revert to just a single check function that will better reflect how comparisons would actually be written in production code. Ie: assert(conditionalCodeThatResolvesToTrueOrFalse);

[...interlude over]

So there I have it, I can now run my tests as files change and rely on the watch task to keep going no matter what happens (so far!). Just the mongoose problems to resolve then, and actually I added another.
  • If a unit test beforeEach function falls over then the after functions are not run
    • This means that as I open a database connection in before and close it in after, when I get such an error I then continue to get failures when files change due to not being able to open the database anymore (it's already open)
    • Not as serious as the silent failures as at least the watch process keeps pinging me and I can restart it. But still a little annoying
This new issue got me thinking again about the require cache. My previous investigations here had proven fruitless but then, perhaps I had been led astray by some dubious comments on StackOverflow. Beware, this code does not work:

for (var key in Object.keys(require.cache)) {delete require.cache[key];}

So now I was thinking about the Mongoose module.
  • The problem isn't that the changed module is still in cache
  • The problem is that the Mongoose module is still in cache
  • In fact the problem is that any modules are still in cache
  • I must clear the cache completely before running my tests!
    • Actually I had tried this and it didn't seem to work
    • However I had tried it in my tests themselves, now I could try it in my new grunt task :)
      • I had already needed to add code that dropped all my own files from cache to make things work. It made sense to drop the rest too when I come to think about it.
So i fixed the code above:

for (var key in require.cache) {delete require.cache[key];}

Tidied up my mocha task adding support for options and this is what I have in a new module...


To use this I dropped it in a grunt tasks directory and updated my grunt.js file...


Note that the call to loadTasks takes the directory name. Also note that I overrode the built in NodeUnit test task and that the options to pass into mocha are given in the mocha config property.

So that's it I no longer have to use my Mongoose workaround as the Mongoose module is cleaned up along with everything else before I run the tests :)

I hope this will save me from similar gotchas in other modules too, but I guess I'll just have to code and find out :D

Thursday, July 12, 2012

Amazon EC2 learnings

Yesterday I discovered that Amazon AWS offer a free tier which basically means I can have a free server (possibly more than one) in their cloud for a year!

Awesome, I'll have some of that :)

I decided to see if could get our 5Live hangout project up and running there. Figured it would be useful as our free heroku plan limits us to a 16MB database!!!! On AWS I can have up to 30GB of storage for free :)

Of course I'll have to be my own sys admin to get it though. So that's where the adventure begins. This is what I needed to setup...
  • A server
  • Some storage
  • Install Node.js
  • Install MongoDB
  • Install Git
  • Open ports to allow access from the interwebs
In figuring this stuff out I probably created and terminated about 20 EC2 instances. There's the first 2 things I learned...
  • Amazon refers to it's virtual machines as EC2 instances
  • Amazon calls deleting an instance "terminating it"
    • When you terminate an instance it does not go away immediately (takes about 20 minutes) but it is not recoverable
    • There is an option for termination protection which I haven't tried but might be a good idea :)
Only a limited number of the virtual machine types are covered by the free tier but that's ok I only actually tried 2 of them. Didn't think I'd be interested in running my stuff on windows so I only tried the Amazon Linux and Ubuntu 12.04 images. Both of which are free in the micro configuration (1 core, 613MB RAM). After switching between the 2 a few times I settled on Ubuntu mainly because it is more familiar to me. However my research suggests that the Amazon Linux images might be better optimized for EC2.

Now for the real purpose of this blog post, which is mainly for my own notes, these are the steps to setting up the above list of requirements.

Create an Amazon AWS account

First we need an AWS account
  1. From  https://aws.amazon.com/free/ sign up for a new account if you don't have one and verify with the fancy phone call verification
  2. Wait for email confirmation of the new account

Create an EC2 instance

We need a virtual machine


Choose the free tier eligible machine type
Keep the default machine options

Create a new security group

  1. Head over to http://aws.amazon.com/console/ and sign in with your new account
  2. Select the EC2 link
  3. Select the Instances/Instances link on the left hand side
  4. Click the Launch Instance button
  5. Choose the Classic Wizard option and click Continue 
  6. Choose Ubuntu Server 12.04 LTS 64bit and click Select 
  7. Keep the default options for the machine type as pictured above and click Continue 
  8. Keep the default options for for the machine features as pictured above and click Continue 
  9. Enter a name for the instance (this is only used for display in the AWS console and is not the machine name) and click Continue 
  10. Next you will have to create a key pair - this is used instead of passwords to log on to the virtual machine using SSH (If this is not the first instance on the account then you can reuse an existing key pair). Enter a name for the key pair and click Create & Download your Key Pair - keep this somewhere safe but accessible. Then click Continue 
  11. Create a new security group with at least port 22 open so that you can SSH to the instance as pictured above. I have decided that it is best to create a new security group for each EC2 instance as it is not possible to change to a different security group after the instance has been created. However it is possible to change the rules in a security group, so if you want different instances to have different rules then you need to create different security groups for each instance. Then click Continue 
  12. You will then be presented with a page to review so just click Launch and on the next dialog click Close 

Create an EBS volume

We need an Elastic Block Store volume so we can separate our MongoDB data from the OS volume
  1. Select the Elastic Block Store/Volumes link on the left hand side. Notice that there is already an 8GB volume for the EC2 instance OS. Make a note of the zone for this existing volume (eg. us-east-1d), we will want to create our new volume in the same zone so the EC2 instance can be attached to it
  2. Click Create Volume 
  3. Select the size of the volume (eg. 10GB) and the same zone as noted in the last step. Don't select a snapshot. Click Yes, Create 
  4. Right click the newly created volume and select Attach Volume 
  5. Select the newly created Ubuntu instance and leave the Device field to the default. Click Yes, Attach. This will actually attach the volume to /dev/xvdf and not /dev/sdf on this version of Ubuntu, as noted on the dialog

Start the instance and log on using SSH

We're going to need our key pair file in the next step. On OSX and linux it can be supplied to the ssh command using the -i option but on windows I use Putty. Putty does not accept *.pem files as generated by amazon so it's necessary to convert it to a *.ppk file using PuttyGen. Anyway follow these steps to logon...
  1. In the AWS console go back to Instances/Instances on the left hand side
  2. Select the instance and on the Description tab scroll down until you find the Public DNS entry. This is the public host name of your server. As an aside it also contains the static IP address in case you want to know what that is - eg. ec2-.compute-1.amazonaws.com
  3. Launch Putty and paste the Public DNS host name into the host name field
  4. Prepend the host name with ubuntu@ so that you don't need to specify the user name when connecting (the default user is called ubuntu)
  5. On the left hand side select Connection/SSH/Auth.
  6. Under Private key file for authentication browse for the *.ppk file generated by PuttyGen from the *.pem file created and downloaded from Amazon
  7. Go back to the Session section at the top on the left hand side and save the session with a sensible name
  8. Click Open and you should just be logged in as the ubuntu user (after accepting the public key)

Format the EBS volume and mount it permanently

We want a nice efficient file system and it seems that it's de rigueur to use XFS. XFS is supported by the Ubuntu 12.04 kernel but the tools to format volumes are not there by default. Anyway here are the steps to follow at the command line...
  1. sudo apt-get install xfsprogs
  2. sudo mkfs -t xfs /dev/xvdf
  3. sudo mkdir /mnt/data
  4. sudo nano /etc/fstab
The last step will start nano so that we can edit the /etc/fstab file to ensure that our volume is mounted whenever the machine reboots. Add the following line...
  • /dev/xvdf /mnt/data xfs noatime,noexec,nodiratime 0 0
Write out the file with ctrl-o and exit with ctrl-x.

Now we need to mount the data volume. At the command line...
  • sudo mount -a

Install the latest stable Node.js

At the time of writing the default Node.js package available in Ubuntu is 0.6.12 and the latest stable is 0.8.2. In order to get the latest stable release do the following at the command line...
  1. sudo apt-get install python-software-properties
  2. sudo apt-add-repository ppa:chris-lea/node.js
  3. sudo apt-get update
  4. sudo apt-get install nodejs npm

Install and start the latest stable MongoDB

At the time of writing the latest MongoDB was 2.0.6 and that is what we download in the following steps. Check with http://www.mongodb.org/downloads to see if there is a newer version. At the command line...
  1. cd ~
  2. curl -O http://downloads.mongodb.org/linux/mongodb-linux-x86_64-2.0.6.tgz
  3. tar -xzf mongodb-linux-x86_64-2.0.6.tgz
  4. cd mongodb-linux-x86_64-2.0.6/bin
  5. sudo mkdir /mnt/data/db
  6. sudo chown ubuntu /mnt/data/db
  7. ./mongod --fork --logpath ~/mongod.log --dbpath /mnt/data/db/
  8. cd ~
  9. tail -f mongod.log
This will start the MongoDB daemon in the background and output the logging to ~/mongod.log. The last command allows you to check that the daemon starts up ok. Once it has completed the startup sequence then it is safe to ctrl-c out of the tail and mongod will continue running. To stop mongod, the safest way is from the mongo client. At the command line...
  1. cd ~/mongodb-linux-x86_64-2.0.6/bin
  2. ./mongo
  3. use admin
  4. db.shutdownServer()
The last command shutdown the server and prints out lots of stuff that looks like errors but it should be fine and it should be possible to start the server again as before.

Install Git

I use GitHub and all my code is up there so I need git to put it on my new server. At the command line...
  • sudo apt-get install git

Opening more ports

While developing Node.js applications I usually use the default Express port of 3000. You will remember that when we created the server instance we only opened port 22 in the security group. In order to hit the server on port 3000 we have to add that to our security group too...
  1. In the AWS console select Network & Security/Security Groups on the left hand side
  2. Select the the security group created specifically for the server instance
  3. Select the Inbound tab
  4. For Create a new rule select Custom TCP rule 
  5. For Port range enter 3000
  6. For source enter 0.0.0.0/0 
  7. Click Add Rule 
  8. Click Apply Rule Changes 
It should now be possible to connect to services running on port 3000 from the internet. Remember that the host name is the Public DNS entry under the EC2 instance description.