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how to clear redis and solr indexes working on local setup

over 2 years ago | Gourav Tiwari: easy_software = Agile.find(ruby_on_rails)

As I am working in an app which needs keys to be stored in Redis and index data in Solr, due to redis eviction policy, sometimes keys gets evicted, but index in solar remains same, which result in confusing local behavior for me.To clear local redis cache copy, I do it from redis-cli$ redis-cli127.0.0.1:6379> FLUSHDBOK127.0.0.1:6379> FLUSHALLOK127.0.0.1:6379> exitTo remove solr indexes, I use curl:$ curl http://localhost:8982/solr/update?commit=true -d '*:*'

AngularJS and Browserify

over 2 years ago | Rocky Jaiswal: Still Learning

Angular (and some other JS frameworks) implements two-way data binding. With two way data binding, the view is automatically updated when the model (or data) changes and vice-versa. Although, we can consider it the framework’s job, it is interesting to know how this works under the hood. So let’s ...

Mark Methods Private When You Don’t Test Them

over 2 years ago | Pat Shaughnessy: Pat Shaughnessy

My father in law once lived in same building where Picassowas born, near the Plaza de la Merced in Málaga, Spain. In Ruby and many other languages, you write private methods to implement internal logic you don’t want

Boot, the Fancy New Clojure Build Framework

over 2 years ago | Daniel Higginbotham: Flying Machine Studios

Build tools are known to inspire the entire gamut of emotions from bored impatience to Homeric rage (I'm looking at you, Grunt). Personally, I've never given them much thought; they've always seemed like tedious overhead, an unfortunate necessity for getting real work done. Recently, though, I've started learning about Boot, and I've found that build programming can actually be interesting. This article will explain Boot's underlying concepts and guide you through writing your first Boot tasks. If you're interested in using Boot to build projects right this second, then check out its github README and its wiki. Boot's Abstractions Created by Micha Niskin and Alan Dipert, Boot is a completely controversy-free addition to the Clojure tooling landscape. On the surface, it's "merely" a convenient way to build Clojure applications and run Clojure tasks from the command line. But dig a little deeper and you'll see that Boot is like the lisped-up lovechild of Git and Unix in that it provides abstractions that make it much more pleasant to write code that exists at the intersection of your operating system and your application. Unix provides abstractions that we're all familiar with to the point of taking them for granted. (I mean, would it kill you to take your computer out to a nice restaurant once in awhile?) The process abstraction allows you to reason about programs as isolated units of logic that can be easily composed into a stream-processing pipeline through the STDIN and STDOUT file descriptors. These abstractions make certain kinds of operations, like text processing, very easy. Similarly, Boot provides abstractions that make it actually pleasant to compose independent operations into the kinds of complex, coordinated operations that build tools end up doing, like converting Clojurescript into Javascript. Boot's task abstraction lets you easily define units of logic that communicate through filesets. The fileset abstraction keeps track of the evolving build context and it provides a well-defined, reliable method of task coordination, as opposed to the ill-defined, ad-hoc task coordination which programmers have to impose on other build tools. That's a lot of high-level description, which hopefully is great for when you want to hook someone's attention, which hopefully I have now done. But I would be ashamed to leave you with a plateful of metaphors. Oh no, dear reader; that was only the appetizer. For the rest of this article you will learn what that word salad means by building your own Boot tasks. Along the way, you'll discover that build tools can actually have a conceptual foundation. Tasks Like make, rake, grunt, and other build tools of yore, Boot lets you define tasks. Tasks are named operations that take command line options dispatched by some intermediary program (make, rake, Boot) Boot provides the dispatching program, boot, and a Clojure library that makes it easy for you to define named operations and their command line options with the deftask macro. So that you can see what all the fuss is about, it's time to create your first task. Normally, programming tutorials encourage have you write something that prints "Hello World", but I like my examples to have real-world utility, so your task is going to print "My pants are on fire!", information which is objectively more useful. First, install Boot, then create a new directory named boot-walkthrough, navigate to that directory, and finally create a file named build.boot and put in this in it: (deftask fire "Prints 'My pants are on fire!'" [] (println "My pants are on fire!")) Now run this task with boot fire; you should see the message you wrote printed to your terminal. This demonstrates two out of the three task components - the task is named (fire) and it's dispatched by boot. This is already super cool – you've essentially created a Clojure script, standalone Clojure code that you can easily run from the command line. No project.clj or directory structure or namespaces needed! Let's extend the example to demonstrate how you'd write command line options: (deftask fire "Announces that something is on fire" [t thing THING str "The thing that's on fire" p pluralize bool "Whether to pluralize"] (let [verb (if pluralize "are" "is")] (println "My" thing verb "on fire!"))) Try running the task like so: boot fire -t heart # => My heart is on fire! boot fire -t logs -p # => My logs are on fire! In the first instance, either you're newly in love or you need to be rushed to the emergency room. In the second, you are a boy scout awkwardly exclaiming your excitement over meeting the requirements for a merit badge. In both instances, you were able to easily specify options for the task. This refinement of the fire task introduced two command line options, thing and pluralize. These options are defined using the options DSL. In the case of thing, t specifies the option's short name and thing specifies the long name. THING is a little complicated, and I'll get to it in a second. str specifies the option's type, and Boot uses that both to validate the argument and convert it. "The thing that's on fire" is the documentation for the option. You can view a task's documentation with boot task-name -h: boot fire -h # Announces that something is on fire # # Options: # -h, --help Print this help info. # -t, --thing THING Set the thing that's on fire to THING. # -p, --pluralize Whether to pluralize Pretty groovy! Boot makes it very, very easy to write code that's meant to be invoked from the command line. Now, about THING. THING is an optarg and it indicates that this option expects an argument. You don't have to include an optarg when you're defining an option (notice that the pluralize option has no optarg). The optarg doesn't have to correspond to the full name of the option; you could replace THING with BILLY_JOEL or whatever you want and the task would work the same. Finally, you can also designate complex options using the optarg. (That link will take you to Boot's documentation on the subject.) Basically, complex options allow you to specify that option arguments should be treated as as maps, sets, vectors, or even nested collections. It's pretty powerful. Boot provides you with all the tools you could ask for in building command-line interfaces with Clojure. And you've only just started learning about it! The REPL Boot comes with a good number of useful built-in tasks, including a REPL task; run boot repl to fire up that puppy. The Boot REPL is similar to Leiningen's in that it handles loading your project code so that you can play around with it. You might not think this applies to the project you've been writing because you've only written tasks, but you can actually run tasks in the REPL (I've left out the boot.user=> prompt): ;; pass arguments as flags (fire "-t" "NBA Jam guy") ; My NBA Jam guy is on fire! ;=> nil ;; or as keywords (fire :thing "NBA Jam guy") ; My NBA Jam guy is on fire! ;=> nil (fire "-p" "-t" "NBA Jam guys") ; My NBA Jam guys are on fire! ;=> nil (fire :pluralize true :thing "NBA Jam guys") ; My NBA Jam guys are on fire! ;=> nil And of course, you can also use deftask in the REPL – it's just Clojure, after all. The takeaway is that Boot lets you interact with your tasks as Clojure functions, because that's what they are. Composition and Coordination If what you've seen so far was all that Boot had to offer, it'd be a pretty swell tool, though not very different from other build tools. One thing that sets Boot apart, though, is how it lets you compose tasks. For comparison's sake, here's an example Rake invocation (Rake is the premier Ruby build tool): rake db:create db:migrate db:seed In case you were wondering, this will create a database, run migrations on it, and populate it with seed data when run in a Rails project. What's worth noting, however, is that Rake doesn't provide any way for these tasks to communicate with each other. Specifying multiple tasks is just a convenience, saving you from having to run rake db:create; rake db:migrate; rake db:seed. If you want to access the result of Task A within Task B, the build tool doesn't help you; you have to manage that coordination yourself. Usually, you'll do this by shoving the result of Task A into a special place on the filesystem, and then making sure Task B reads that special place. This looks like programming with mutable, global variables, and it's just as brittle. Handlers and Middleware Boot addresses this problem by treating tasks as middleware factories. If you're familiar with Ring, Boot's tasks work very similarly; feel free to skip to the next section. If you're not familiar with the concept of middleware, then allow me to explain! First, the term middleware refers to a set of conventions that programmers adhere to so that they can flexibly create domain-specific function pipelines. That's pretty dense, so let's un-dense it. I'll go over the flexible part in this section, and cover domain-specific in the next. To understand how the middleware approach differs from run-of-the-mill function composition, here's an example of composing everyday functions: (def strinc (comp str inc)) (strinc 3) ; => "4" There's nothing interesting about this function composition. This function composition is so unremarkable that it strains my abilities as a writer to try and actually say anything about it. There are two functions, each doing its own thing, and now they've been been composed into one. Whoop-dee-do! Middleware introduce an extra step to function composition, and this gives you more flexibility in defining your function pipeline. Suppose, in the example above, that you wanted to return "I don't like the number X" for arbitrary numbers, but still return the stringified number for everything else. Here's how you could do that: (defn whiney-str [rejects] {:pre [(set? rejects)]} (fn [x] (if (rejects x) (str "I don't like " x) (str x)))) (def whiney-strinc (comp (whiney-str #{2}) inc)) (whiney-strinc 1) ; => "I don't like 2 :'(" Now let's take it one step further. What if you want to decide whether or not to call inc in the first place? Here's how you could do that: (defn whiney-middleware [next-handler rejects] {:pre [(set? rejects)]} (fn [x] (if (= x 1) ; ~1~ "I'm not going to bother doing anything to that" (let [y (next-handler x)] (if (rejects y) (str "I don't like " y " :'(") (str y)))))) (def whiney-strinc (whiney-middleware inc #{3})) Here, instead of using comp to create your function pipeline, you pass the next function in the pipeline as the first argument to the middleware function. In this case, you're passing inc as the first argument to whiney-middleware. whiney-middleware then returns an anonymous functions which closes over inc and has the ability to choose whether to call it or not. You can see this at ~1~. We say that middleware take a handler as their first argument, and return a handler. In the example above, whiney-middleware takes a handler as its first argument, inc here, and it returns another handler, the anonymous function with x as its only argument. Middleware can also take extra arguments, like rejects, that act as configuration. The result is that the handler returned by the middleware can behave more flexibly (thanks to configuration) and it has more control over the function pipeline (because it can choose whether or not to call the next handler). Tasks are Middleware Factories Boot takes this pattern one step further by separating middleware configuration from handler creation. First, you create a function which takes n many configuration arguments. This is the middleware factory and it returns a middleware function. The middleware function expects one argument, the next handler, and it returns a handler, just like in the example above. Here's a whiney middleware factory: (defn whiney-middleware-factory [rejects] {:pre [(set? rejects)]} (fn [handler] (fn [x] (if (= x 1) "I'm not going to bother doing anything to that" (let [y (handler x)] (if (rejects y) (str "I don't like " y " :'(") (str y))))))) (def whiney-strinc ((whiney-middleware-factory #{3}) inc)) As you can see, it's nearly identical to the previous example. The change is that the topmost function, whiney-middleware-factory, now only accepts one argument, rejects. It returns an anonymous function, the middleware, which expects one argument, a handler. The rest of the code is the same. In Boot, tasks can act as middleware factories. In fact, they usually do, I just didn't present them that way above in order to keep things simple. To show this, let's split the fire task into two tasks: what and fire. what will let you specify an object and whether it's plural, and fire will announce that it's on fire. This is great, modular software engineering because it allows you to add other tasks like gnomes, to announce that a thing is being overrun with gnomes, which is just as objectively useful. (Exercise for the reader: create the gnome task.) (deftask what "Specify a thing" [t thing THING str "An object" p pluralize bool "Whether to pluralize"] (fn middleware [next-handler] (fn handler [_] (next-handler {:thing thing :pluralize pluralize})))) (deftask fire "Announce a thing is on fire" [] (fn middleware [next-handler] (fn handler [thing-map] (let [updated-thing-map (next-handler thing-map) verb (if (:pluralize thing-map) "are" "is")] (println "My" (:thing thing-map) verb "on fire!"))))) Here's how you'd run this on the command line: boot what -t "pants" -p -- fire And here's how you'd run it in the REPL: (boot (what :thing "pants" :pluralize true) (fire)) Wait a minute, what's that boot call doing there? In Micha's words, "The boot macro takes care of setup and cleanup (creating the initial fileset, stopping servers started by tasks, things like that). Tasks are functions so you can call them directly, but if they use the fileset they will fail unless you call them via the boot macro." Wait a minute, what's a fileset? Filesets I mentioned earlier that middleware are for creating domain-specific function pipelines. All that means is that each handler expects to receive domain-specific data, and returns domain-specific data. With Ring, for example, each handler expects to receive a request map representing the HTTP request. This might look something like: {:server-port 80 :request-method :get :scheme :http} Each handler can choose to modify this request map in some way before passing it on to the next handler, say by adding a :params key with a nice Clojure map of all query string and POST parameters. Ring handlers return a response map, which consists of the keys :status, :headers, and :body, and once again each handler can transform this data in some way before returning it to its parent handler. In Boot, each handlers receives and returns a fileset. The fileset abstraction gives you a way to treat files on your filesystem as immutable data, and this is a great innovation for build tools because building projects is so file-centric. For example, your project might need to place temporary, intermediary files on the filesystem. Usually, with build tools that aren't Boot, these files get placed in some specially-named place, say, project/target/tmp. The problem with this is that project/target/tmp is effectively a global variable, and other tasks can accidentally muck it up. The fileset abstraction works by adding a layer of indirection on top of the filesystem. Let's say Task A creates File X and tells the fileset to store it. Behind the scenes, the fileset stores the file in an anonymous, temporary directory. The fileset then gets passed to Task B, and Task B modifies File X and asks the fileset to store the result. Behind the scenes, a new file, File Y, is created and stored, but File X remains untouched. In Task B, an updated fileset is returned. This is the equivalent of doing assoc-in with a map; Task A can still access the original fileset and the files it references. The mechanics of working with filesets are all explained in the fileset wiki, but I hope this gives a good conceptual overview! Everything else The point of this article was to explain the concepts behind Boot. However, it also has a bunch of features, like set-env! and task-options! that make life easier when you're actually using it. It does amazing magical things like providing classpath isolation so that you can run multiple projects using one JVM and letting you add new dependencies to your project without having to restart your REPL. If Boot tickles your fancy, check out its README for more info on real-world usage. Also, its wiki provides top-notch documentation. If you're new to Clojure, then check out Clojure for the Brave and True, an introduction to the language written by yours truly. Have fun!

Managing Adwords URLs

over 2 years ago | Rocky Jaiswal: Still Learning

Managing URLs in Adwords can be quite a daunting task. A mid-sized online shop can have thousands of URLs for items it is selling, larger shops like Amazon may have millions of URLs on their website. While setting up ads in Google Adwords each ad needs to point to a URL, of-course the URL should b ...

Step 2 – R Sentiment Analysis

over 2 years ago | Ajay Mittal: R Handbook

In my previous article Step 1 – R Authentication for Twitter, we got to know how to pull tweets from the tweeter. In Step 2, we will look how to do sentiment analysis on the pulled tweeter. We can do this on two ways 1. Write our won code to do Sentiment Analysis. 2. Using Sentiment package […]

Excess of technology ruins

over 2 years ago | Sumit Bajaj: Sumit Bajaj's Blogs

Most of us are using so many apps on mobile and spending plenty of time using those apps. Well, even I am not exception but excess of technology sometime ruins. I would like to narrate one incident where I used Google Maps and screamed after using it.I visited Dehradun, Uttrakhund from Gurgaon recently and chose Google Maps to show me the route. It showed me two ways and advised me to go via shortest route which I followed. After reaching half way, I found that road was damaged so badly that I was not able to proceed. After collecting information from villagers nearby, I got to know that this path was always like that. One of the villagers advised me not to go further on that path as for cars its not possible to cross. He advised me to take alternate route which was going through the villages. Thanks to Indian people who are so kind and helpful.Although that road was raw and some patches were there yet it was better then the path Google Maps proposed. By somehow, I could reach Dehradun crossing so many villages. Generally it takes 5 hours to reach Dehradun but that day it took 9.5 hours to reach to destination. I conveyed my thanks to GOD and villagers who helped me to reach there.To conclude, I am in complete agreement that using technology to some extent surely helps but using it in excess ruins.This is what I have written to Google: " I have used Google Maps (India) to get the way to Dehradun, Uttrakhund from Gurgaon. It showed me 2 ways and    advised me to go from shortest path which I followed. After going half way I found that the road is so damaged that I can  not proceed. So I would like to suggest that if Google could provide feedback popup for that route where a person can give some  rating or comments would be really great. It would help you to choose the best way to go."Share you incidence and help people to make life better.

Experiments with Adwords Scripts

over 2 years ago | Rocky Jaiswal: Still Learning

Adwords Scripts are a neat way to automate small tasks in Adwords. There are many scripts available online which can help you automate routine tasks or run some ...