The document describes a set of actions and triggers to handle different types of post requests. It includes logic to:
1) Determine the type of post (e.g. text, link, file) based on parameters and route it to the appropriate handler.
2) Extract parameters like object type, text, user etc from the request and assign them to variables.
3) Perform actions like looking up existing objects and users, composing identifiers, and triggering events.
4) Return a response containing the object ID if creation was successful.
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...MongoDB
In version 2.4, MongoDB introduces hash-based sharding, a new option for distributing data in sharded collections. Hash-based sharding and range-based sharding present different advantages for MongoDB users deploying large scale systems. In this talk, we'll provide an overview of this new feature and discuss when to use hash-based sharding or range-based sharding.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
Recently PostgreSQL introduced the JSON and JSONB data types. At first, we ignored this news, we could not see how the JSON types could be of use to us. But then we used it once and then twice and then we almost went overboard with JSONs. This prompted us to stop, take a step back and analyze when a JSON type is useful and when it causes unnecessary hassle.
MongoDB San Francisco 2013: Hash-based Sharding in MongoDB 2.4 presented by B...MongoDB
In version 2.4, MongoDB introduces hash-based sharding, a new option for distributing data in sharded collections. Hash-based sharding and range-based sharding present different advantages for MongoDB users deploying large scale systems. In this talk, we'll provide an overview of this new feature and discuss when to use hash-based sharding or range-based sharding.
This talk is focused on tuning analysing and optimizing MongoDB query and index with the use of Database Profiler and "explain()" function.
Also, performance of database can also be impacted by configuring the underline ( Linux ) OS with some recommended settings which do not come by default.
Recently PostgreSQL introduced the JSON and JSONB data types. At first, we ignored this news, we could not see how the JSON types could be of use to us. But then we used it once and then twice and then we almost went overboard with JSONs. This prompted us to stop, take a step back and analyze when a JSON type is useful and when it causes unnecessary hassle.
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
Presentation on various definitions for JSON including JSON-RPC, JSPON, JSON Schema, JSONP and tools for working these definitions including Persevere client and server..
Map/Confused? A practical approach to Map/Reduce with MongoDBUwe Printz
Talk given at MongoDb Munich on 16.10.2012 about the different approaches in MongoDB for using the Map/Reduce algorithm. The talk compares the performance of built-in MongoDB Map/Reduce, group(), aggregate(), find() and the MongoDB-Hadoop Adapter using a practical use case.
Presentation on various definitions for JSON including JSON-RPC, JSPON, JSON Schema, JSONP and tools for working these definitions including Persevere client and server..
Going with style: Themes and apps for Magento GoX.commerce
Magento Go, our SaaS solution, provides merchants with capabilities to customize their stores with different themes and to integrate applications for valuable functionality. We will provide examples of the best methods and approaches for customizing storefronts with different themes and layouts, as well as how to integrate apps into Magento Go stores.
This session is for those who are excited by the great power of Apache Solr search for Drupal and want to take things even further. Do you want take complete control over your search interface and offer more than the default features? Have you ever wondered what it takes to add data to your search index? Curious about defining facets, custom sorting, or making cool new widgets for filtering and faceting? Join us for a technical deep dive into the world of Solr search.
The general topics of this presentation will overlap with those covered at Drupalcon SF for the Drupal 6 version, but we will focus on use of the API as found in the Drupal 7 version.
Introducing the Solr index
* Learn about Solr fields, and how to map Drupal data onto them
* See how to add data to the search index
* Execute a search in PHP code and use the results
Using the API for custom search paths and interfaces
* How to use the prepare and alter hooks for the query object, and why they differ.
* Make use facing changes, or add filters that are transparent to the user.
Build custom facets based on node fields
* What comes OOTB
* Hooks to add facets for additional field types