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It tells you where to go in the book for a “document” (aka a chapter).

  • A table of contents is a _forward index_.
  • Let’s consider them both at the same time using a book analogy.
  • So … why don’t we use a NoSQL implementation, denormalize the heck out of it, and then index the heck out of it, then map reduce the heck out of it – Well… you just described a basic search engine! How Inverted Index Searches solve the problem
  • Paging leads to support for multi-page actions ….
  • Ability to search across all indexes, quickly and easily…Įver written a SQL query that started out simple.
  • Elasticsearch Search Reference ( Elastic Docs).
  • Full-Text Search ( Microsoft Developer Network).
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  • Why not just turn on full text search in SQL Server?.
  • “Shredding” is inefficient (normalizing data for storage, and re-constructing it for retrieval over and over again)ĭB vs Search Engine…why not just do it all in SQL?.
  • Partition Tolerance – the system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.
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  • Availability – every request receives a (non-error) response – without guarantee that it contains the most recent write.
  • Consistency – every read receives the most recent write or an error.
  • In regards to the CAP Theorem, Relational DB have an emphasis on Consistency.
  • BASE – Basic Availability, Soft State, Eventual Consistency.
  • Durability – ensures that once a transaction has been committed, it will remain so, even in the event of power loss, crashes, or errors.
  • Isolation – ensures that the concurrent execution of transactions results in a system state that would be obtained if transactions were executed sequentially.
  • Consistency – ensures that any transaction will bring the database from one valid state to another.
  • Atomicity – requires that each transaction be “all or nothing”:.
  • 5B videos watched on YouTube every day ( MerchDope)Ī: Lots and lots of joins, and LIKE clauses? Relational Databases ….
  • Amazon sells over 500M products ( ScrapeHero).
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  • Google servers 40k searches … per second ( Ardor Seo).
  • What if there’s too much data? Or the user doesn’t know what the thing is called?.
  • But people aren’t very good at searching, and Google has spoiled us.
  • In some cases, the number of items we’re searching are small, can get away with a simple LIKE % search.
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    Can’t use the phone, listen to music, buy underwear or watch TV without searching.Google, Shopping, Cortana, Spotlight, Contacts.Search is a core tenant of modern computing.Search Driven Apps What’s the problem? Why do we need search driven apps? Joe invents a new way to listen to podcasts … by topic.Sign up for Elasticsearch and Go for the Backend at Meetup.In the Orlando area on June 21? Come see Joe’s talk on Building Search Driven Apps with Elasticsearch at the Orlando Backend Developer’s Meetup.The Cynical Developer (James Studdart) has Sean Martz on the show to talk about transitioning from a sys admin to a developer.Stitcher – Vothis, JavaRuns100BillionDevices, SoulSurvivor, Twentyone.iTunes – vr6apparatus, The All Ighty Ollar, BonerGs, MatiasWasAlreadyTaken, galusssss.

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