DDevelopment & Design

Rapid js + css development

BackgroundLast time I had some work to do in OSGi web module written in Spring MVC. If we have application splitted to well-designed modules, back-end development in this framework run in OSGi environment is quite fast because after some modification w…

Background

Last time I had some work to do in

OSGi web module written in Spring MVC. If we have application splitted to well-designed modules, back-end development in this framework run in OSGi environment is quite fast because after some modification we must update only one bundle (without dependencies). But programming in front-end is much less dynamic than in in modern frameworks like Ruby or Groovy. There is no build-in support to update resources “on the fly” after their modification (or I can’t find it).

There is many plugins to web browser which help you build front-end from scratch in wysiwyg mode. But I can’t find any which could modify resources of already ran application. Also it will be complicated to keep synchronized these modifications with our sources. Therefore I tried to use local links to my project in my application. I put code similar to this below in my page.
After redeploy I found in my Chromium console: Error::Not allowed to load local resource: file:///path/to/my/local/resource.js. After some googling I found solution: adding –allow-file-access-from-files switch to application. Unfortunately it doesn’t work on my Chromium v.18. I also checked other switches: –disable-web-security and –allow-file-access but with no effect. I also tried  LocalLinks plugin but with the same result.

Solution

I found out that the simplest walkaround to this problem is to link my local resources directory in Apache2 web root. So i did this:

After this inclusion of script looks like:

As you can see, it is only difference in port in new location of script. So maybe there is a tool which helps in automatic replace this string?

Tampermonkey script

In

Firefox I’ve been using Greasemonkey plugin which could do automatic code replacement like this on the fly. On Chrome there is Tampermonkey which is a port of Greasemonkey. I wrote script which do this thing for me:

What the script do?

It simply add on end of

script includes from location with replaced string from -> to. It also modify CSS link hrefs using the same approach. Both scripts and links are filtered using blacklist – it is helpful if our application using external resources.

Result

Now I can spend all of my time intended for development only writing a code. After any modification I only refresh a page in browser (I’m using

IntelliJ Idea so instant autosaving is working for me). And what solutions of this problem you are using?

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DDevelopment & Design

Recently at storm-users

I've been reading through storm-users Google Group recently. This resolution was heavily inspired by Adam Kawa's post "Football zero, Apache Pig hero". Since I've encountered a lot of insightful and very interesting information I've decided to describe some of those in this post.

  • nimbus will work in HA mode - There's a pull request open for it already... but some recent work (distributing topology files via Bittorrent) will greatly simplify the implementation. Once the Bittorrent work is done we'll look at reworking the HA pull request. (storm’s pull request)

  • pig on storm - Pig on Trident would be a cool and welcome project. Join and groupBy have very clear semantics there, as those concepts exist directly in Trident. The extensions needed to Pig are the concept of incremental, persistent state across batches (mirroring those concepts in Trident). You can read a complete proposal.

  • implementing topologies in pure python with petrel looks like this:

class Bolt(storm.BasicBolt):
    def initialize(self, conf, context):
       ''' This method executed only once '''
        storm.log('initializing bolt')

    def process(self, tup):
       ''' This method executed every time a new tuple arrived '''       
       msg = tup.values[0]
       storm.log('Got tuple %s' %msg)

if __name__ == "__main__":
    Bolt().run()

  • Fliptop is happy with storm - see their presentation here

  • topology metrics in 0.9.0: The new metrics feature allows you to collect arbitrarily custom metrics over fixed windows. Those metrics are exported to a metrics stream that you can consume by implementing IMetricsConsumer and configure with Config.java#L473. Use TopologyContext#registerMetric to register new metrics.

  • storm vs flume - some users' point of view: I use Storm and Flume and find that they are better at different things - it really depends on your use case as to which one is better suited. First and foremost, they were originally designed to do different things: Flume is a reliable service for collecting, aggregating, and moving large amounts of data from source to destination (e.g. log data from many web servers to HDFS). Storm is more for real-time computation (e.g. streaming analytics) where you analyse data in flight and don't necessarily land it anywhere. Having said that, Storm is also fault-tolerant and can write to external data stores (e.g. HBase) and you can do real-time computation in Flume (using interceptors)

That's all for this day - however, I'll keep on reading through storm-users, so watch this space for more info on storm development.

I've been reading through storm-users Google Group recently. This resolution was heavily inspired by Adam Kawa's post "Football zero, Apache Pig hero". Since I've encountered a lot of insightful and very interesting information I've decided to describe some of those in this post.

  • nimbus will work in HA mode - There's a pull request open for it already... but some recent work (distributing topology files via Bittorrent) will greatly simplify the implementation. Once the Bittorrent work is done we'll look at reworking the HA pull request. (storm’s pull request)

  • pig on storm - Pig on Trident would be a cool and welcome project. Join and groupBy have very clear semantics there, as those concepts exist directly in Trident. The extensions needed to Pig are the concept of incremental, persistent state across batches (mirroring those concepts in Trident). You can read a complete proposal.

  • implementing topologies in pure python with petrel looks like this:

class Bolt(storm.BasicBolt):
    def initialize(self, conf, context):
       ''' This method executed only once '''
        storm.log('initializing bolt')

    def process(self, tup):
       ''' This method executed every time a new tuple arrived '''       
       msg = tup.values[0]
       storm.log('Got tuple %s' %msg)

if __name__ == "__main__":
    Bolt().run()

  • Fliptop is happy with storm - see their presentation here

  • topology metrics in 0.9.0: The new metrics feature allows you to collect arbitrarily custom metrics over fixed windows. Those metrics are exported to a metrics stream that you can consume by implementing IMetricsConsumer and configure with Config.java#L473. Use TopologyContext#registerMetric to register new metrics.

  • storm vs flume - some users' point of view: I use Storm and Flume and find that they are better at different things - it really depends on your use case as to which one is better suited. First and foremost, they were originally designed to do different things: Flume is a reliable service for collecting, aggregating, and moving large amounts of data from source to destination (e.g. log data from many web servers to HDFS). Storm is more for real-time computation (e.g. streaming analytics) where you analyse data in flight and don't necessarily land it anywhere. Having said that, Storm is also fault-tolerant and can write to external data stores (e.g. HBase) and you can do real-time computation in Flume (using interceptors)

That's all for this day - however, I'll keep on reading through storm-users, so watch this space for more info on storm development.