Now play Solitaire or Tic-Tac-Toe on Google

Looking to do some time pass with a round of solitaire on your phone? You no longer need a separate app for that – Google is rolling out a couple of simple games right into its search engine and standalone Google Search app. The most popular two classic games of all time – solitaire and tic-tac-toe – available both on the desktop web and in its search app.

For example, type in “solitaire” into the search box, and the game will pop up as a card in the search results. Tap it, and you’ll be taken to a full-screen version of the game, where you can select your difficulty level ahead of game play.



If you Google for “tic-tac-toe” or “tic tac toe”, you’ll also see a playable game in a card in the search results. You can adjust the settings here to Easy, Medium or Impossible. You can also play against another person and choose whether you’re “X’s” or “O’s”. Meanwhile, Google will keep track of your score across rounds.



The playing games is not the only fun you can have in Google Search. You can also settle a bet by typing “flip a coin“. Now to flip a coin you don’t need actual coin you can do it on Google as well 🙂 . Enjoy games on google…….!!!!!!

Implement “Joins” in MongoDB equivalent to SQL

Since I am coming from a SQL background so writing queries in SQL where I join tables is quite simple but I guess I am missing that in Mongoose / Mongodb. In earlier version of MongoDB we can’t perform “joins” equivalent to SQL.

As of MongoDB 3.2 above statement is no longer correct. The new $lookup operator added to the aggregation pipeline is essentially identical to a left outer join. Continue reading

MongoDB Pagination using skip() and limit()

How to implement pagination with MongoDB??

Let’s for example I have collection named ‘persons’ and add some documents on it.

db.persons.insert({fname:'John', lname: 'Paton'});
db.persons.insert({fname:'Bob', lname: 'Warner'});
db.persons.insert({fname:'Pankaj', lname: 'Gupta'});
db.persons.insert({fname:'Atul', lname: 'Mishra'});

The traditional approach to pagination requires use of  skip() and limit() MongoDB cursor functions. Let’s have a look how we can use these cursor functions to achieve pagination.

db.persons.find().skip(ITEMS_PER_PAGE * (PAGE_NUMBER - 1)).limit(ITEMS_PER_PAGE);

ITEMS_PER_PAGE” – Represents number of items per page.

PAGE_NUMBER” – Represents current page number.

Use db.persons.count() to get the number of documents in the collection and implement the pagination navigation links.

This pagination technique works as you expect and is excellent in every way – as long as you have a small set of data. If you have a collection with hundreds of thousands of documents, this method of pagination will fail – it will become slower with every increasing page. That’s because the cursor has to start from the beginning of the collection to the skip position for every request, and with increasing page number the skip position becomes farther and farther.