full text search Concepts

Getting Things Done for Hackers

by Lars Wirzenius · 15 Jun 2012 · 32pp · 10,468 words

at least once. (“Be prepared to write a prototype, since you’ll make one anyway.”) For digital files, having a computer that can quickly do full text searches helps a lot. Indeed, you may be tempted to rely on search only, and if that works for you, great. However, there are files for

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which full text search won’t work, such as images, audio, and video. Thus, it is probably best to put your digital, archived files in folders named using the

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GSM prepaid/ Talk: Debconf 2010/ Three GSM prepaid/ Having only a single level of archive folders makes it easier to look for them manually, when full-text search is not available or isn’t good enough. If you create folders within folders, searching manually becomes at least an order of magnitude harder. Create

PostgreSQL Administration Essentials

by Hans-Jurgen Schonig · 14 Oct 2014

B-trees gist: This is an index type for geometric searches (GIS data) and for KNN-search gin: This is an index type optimized for Full-Text Search (FTS) sp-gist: This is a space-partitioned gist As we mentioned before, each type of index serves different purposes. We highly encourage you to

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query explain analyze statement / Tweaking work_mem explain commandusing / Understanding the concept of execution plans F Fedora 20 / Installing PostgreSQL on Red-Hat-based systems Full-Text Search (FTS) / Dealing with different types of indexes G generate_series functionabout / Preparing the data gin index typeabout / Dealing with different types of indexes gist index

Developing Backbone.js Applications

by Addy Osmani · 21 Jul 2012 · 420pp · 79,867 words

the right thing. Collection.setFilter(filterFields, filterWords) - filter the current view. Filtering supports multiple words without any specific order, so you’ll basically get a full-text search ability. Also, you can pass it only one field from the model, or you can pass an array with fields and all of them will

Flask Web Development: Developing Web Applications With Python

by Miguel Grinberg · 12 May 2014 · 420pp · 61,808 words

Flask-Assets: Merging, minifying, and compiling of CSS and JavaScript assets Flask-OAuth: Authentication against OAuth providers Flask-OpenID: Authentication against OpenID providers Flask-WhooshAlchemy: Full-text search for Flask-SQLAlchemy models based on Whoosh Flask-KVsession: Alternative implementation of user sessions that use server-side storage If the functionality that you need

Applied Text Analysis With Python: Enabling Language-Aware Data Products With Machine Learning

by Benjamin Bengfort, Rebecca Bilbro and Tony Ojeda · 10 Jun 2018 · 125pp · 27,675 words

we think of data management, the first thought is a database. Databases are certainly valuable tools in building language aware data products, and many provide full-text search functionality and other types of indexing. However, consider the fact that most databases are constructed to retrieve or update only a couple of rows per

Redis Cookbook

by Tiago Macedo and Fred Oliveira · 26 Jul 2011 · 82pp · 17,229 words

data structure that stores mappings of words (or other content) to their locations in a file, document, database, etc. This is generally used to implement full text search, but it requires previous indexing of the documents to be searched. In this recipe, we’ll use Redis as the storage backend for a

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full-text search implementation. Solution Our implementation will use one set per word, containing document IDs. In order to allow fast searches, we’ll index all the documents

Ansible for DevOps: Server and Configuration Management for Humans

by Jeff Geerling · 9 Oct 2015 · 313pp · 75,583 words

-devops, in the drupal directory. Real-world playbook: Ubuntu Apache Tomcat server with Solr Apache Solr is a fast and scalable search server optimized for full-text search, word highlighting, faceted search, fast indexing, and more. It’s a very popular search server, and it’s pretty easy to install and configure using

Gray Day: My Undercover Mission to Expose America's First Cyber Spy

by Eric O'Neill · 1 Mar 2019 · 299pp · 88,375 words

my ACS manual as he passed my desk. “I still have my old access from the State Department that gives me full clearance through a full-text search. The account they gave us here doesn’t have full access.” He dropped the manual into my trash can. “An oversight I am certain they

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whiteboard. “All the Russians have to do is recruit someone at the FBI with ACS access, feed him a name, and have the mole conduct full-text searches.” He jammed a finger against the 65A, smearing it across the whiteboard. “All that comes back is a 65A and a bucketload of x’s

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to stop myself from punching him in the mouth. I swiveled my chair to the FBI NET computer and logged into ACS. I used the full-text search to enter a few names of targets I had ghosted into the system. ACS covered most of the information with x’s—but not everything

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connection. All the Russians have to do is recruit someone at the FBI with ACS access, feed him a name, and have the mole conduct full-text searches. Why would a spy reveal such an enormous flaw? I conducted a few additional searches and then sat back with my hands steepled over my

Are You Smart Enough to Work at Google?: Trick Questions, Zen-Like Riddles, Insanely Difficult Puzzles, and Other Devious Interviewing Techniques You ... Know to Get a Job Anywhere in the New Economy

by William Poundstone · 4 Jan 2012 · 260pp · 77,007 words

higher level of abstraction than Microsoft. “Google uses Bayesian filtering the way Microsoft uses the ‘if’ statement,” he said. That’s true. Google also uses full-text-search-of-the-entire-Internet the way Microsoft uses little tables that list what error IDs correspond to which help text. Look at how Google does

Culture & Empire: Digital Revolution

by Pieter Hintjens · 11 Mar 2013 · 349pp · 114,038 words

long to print and sites like Yahoo! organized them into categories. Then the category list got too large to keep updated, and Lycos invented the full-text search. This was too slow, so Digital Equipment Corporation built a natty search engine called Altavista to show how to do it properly. The results for