How to implement binary search in database table? - node.js

I am making a simple sign up and login page in node js using sequelize(MySQL). I want to know how to implement sorting in the database on the username field during insertion operation and then use binary search to find a specific username in the database and return the index. I don't want actual code solution but any tutorial links or official docs that can help me. Thanks in advance.

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Mongodb should search in a part of string

I am using mongodb full text search - I have a string "Vipul" in my database and I am searching "vip" but its not getting records related to search.
It is asking full text like "Vipul", and I want to create autocomplete functionality in mongodb like google or any search engine.
I am using nodejs on server side.
Please help me out from this problem.
Thanks
You can use regular expressions, like this:
db.myCollection.find({"fieldName": /vip/})

Cloudant skip parameter not working

I'm trying to do paging of results from a Cloudant database.
I've tried using bookmark, but the fact that the final page of results still has a bookmark is a problem for me, since it means that apps using the database can't tell if there's a 'next page' or not without requesting it.
Instead, I've tried using skip with a URL like this:
https://samdutton.cloudant.com/mydb/_design/mydesigndoc/_search/mysearch?
q=foo:bar&skip=10
However, this isn't working: I always get the first page of results.
Am I doing something wrong, or should this work?
Skipping results isn't supported in search. See the search documentation for the full list of supported options.

Creating a search with Sails.js and MongoDB

I'm wanting to create a search page in Sails.js that will search through a MongoDB. I know how to accomplish this. However, I was wondering if there is a way with Waterline, or any other option, to account for typos and alternate spellings. For example. If the MongoDB entry is "Springfield High School" how can I account for "Springfield High-School" or "Spring Field High School" etc... I'm assuming if this is possible it's done with Waterline some way, but I haven't been able to find any good documentation (findLike()???).
MongoDB supports full text search through text indexes, including search string tokenization and simple language-specific stemming. See the linked page for a full description of features.

cakePHP - Remember Search FIlters

I have a cakePHP application with an advanded search section. When a user applys filters, they are lost when they navigate to an indivual record and then return to search page.
How / What is the best way to keep "memory" of this information and re apply it on page load?
Thanks Paul
Storing parameters in the session has some disadvantages when talking about storing searching criteria.
For example, using sessions is a good way for storing a shopping cart data or logged in user, because this state is the same when you open another new tab too.
But imagine when you apply some search filter, open a new tab with the same page, and then you see the same criteria you filled in previously opened page.
Try storing the search parameters in the session. Note that this isn't something that CakePHP can bake for you. You'll need to implement this yourself.
In case this is helpful: I extensively use this Filter plugin for my searches/filtering:
https://github.com/lecterror/cakephp-filter-plugin
This plugin actually stores the search query across a session, so might be worth having a look at how it does it. In addition to storing a query - it also saves the filter query for each specific model without affecting the others.

How do I aggregate data off of a google search

I am trying to aggregate movie times off of google/movies search into a usable format such as json or xml
http://www.google.com/movies?q=movie+times&sc=1&mid=&hl=en&oi=showtimes&ct=change-location&near=new+york
The Google AJAX api does not seem to work for this as you cannot do a movie search.
Does anyone know how this can be done?
Lookup the technique called web scraping.
Basically, you have to fetch the results page using some server-side scripting, and then extract data from it, to present in a formated way (json, xml, etc). Regular expressions or a DOM/XML parser could help.
This guy has a PHP script that converts Google results to RSS.

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