Download MongoDB and PHP by Steve Francia PDF
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By Steve Francia
What may ensue should you optimized a knowledge shop for the operations program builders truly use? You’d arrive at MongoDB, the trustworthy document-oriented database. With this concise advisor, you’ll how one can construct dependent database purposes with MongoDB and PHP.
Written by way of the executive recommendations Architect at 10gen—the corporation that develops and helps this open resource database—this ebook takes you thru MongoDB fundamentals comparable to queries, read-write operations, and management, after which dives into MapReduce, sharding, and different complicated subject matters. Get out of the relational database rut, and reap the benefits of a high-performing method optimized for operations and scale.
* examine step by step the instruments you want to construct Hypertext Preprocessor purposes with MongoDB
* practice Create, learn, replace, and Delete (CRUD) operations, and how you can practice queries to retrieve information
* Administer your database, and entry and control facts with the MongoDB Shell
* Use features to paintings with units, arrays, and a number of files to accomplish synchronous, asynchronous, and atomic operations
* observe PHP’s neighborhood instruments and libraries, and why they’re priceless
* paintings with general expressions, aggregation, MapReduce, replication, and sharding
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Extra resources for MongoDB and PHP
Example text
The group command can best be viewed as a simpler version of MapReduce (covered later in this chapter). group comes with three fairly serious limitations: 1. It operates only on data sizes of 10,000 unique keys or less. 2. 8 and higher). 3. It doesn’t work in sharded environments. MapReduce does not suffer from any of these limitations and should be used as a substitute whenever anticipating any of these situations. One would wonder why to use group at all. As long as the three limitations are not a hindrance, then it operates a measurable amount faster than MapReduce while also providing a slightly simpler interface to work with.
N"; } Adding another document to the address book we created in Chapter 2. Defining the map function. It’s important to recognize that the MapReduce functions are written in JavaScript and run on the server. The map function references the variable this to inspect the current document. Inside a map function, emit(key,value) is called once for every value wanting to be fed to the reducer. In most cases, this will only be one time (as the example here), but if we wanted to count superpowers (or for a blog, tags), we would call it multiple times (or even no times if no superpowers existed).
8 and higher). 3. It doesn’t work in sharded environments. MapReduce does not suffer from any of these limitations and should be used as a substitute whenever anticipating any of these situations. One would wonder why to use group at all. As long as the three limitations are not a hindrance, then it operates a measurable amount faster than MapReduce while also providing a slightly simpler interface to work with. Group Parameters The group command takes three required parameters: 42 | Chapter 3: Advanced MongoDB key The fields to group by in an array or object.