Introduction tomongodb

Nov 1, 2010Download as PPTX, PDF0 likes423 views

This document introduces MongoDB, an open-source document database. It describes MongoDB as schema-less, highly scalable, and capable of replication and auto-sharding. Key features include storing data as JSON documents, a familiar database and collection structure, easy insertion and querying of documents, and aggregation of data using map-reduce functions. The document encourages readers to try MongoDB themselves by downloading it or exploring online tutorials.

But First, A Little About Me
 My name’s Lee Theobald. Hello!
 Twitter: @Leesy
 Never updated blog:
http://www.ltheobald.co.uk/
 I’m a developer at a small search company
in Cambridge called Open Objects.

 NoSQL database
 The name is short for humongous
 Open source with development lead by
10Gen (http://www.10gen.com)
 Document Based
 Schema-less
 Highly Scalable
 MapReduce
 Replication & Auto Sharding

$Document Store  Data is stored in the form of JSON data. { "_id" : ObjectId("4ccbfc75bd163019417c27f8"), "title": “Hello World! ", "author": { "firstname": "Joe", "lastname": "Bloggs" }, "tags": ["test", "foo", "bar"] }$

Familiar Structure
 MongoDB instances contain a number of
databases which in turn contain a number
of collections.
 Think of MySQL with it’s databases &
tables.
 But collections can also be nested. E.g.
 customer_a (Database)
○ logs_201009 (Collection)
 top_queries (Collection)

$Inserts – Easy As Pie! use cookbook; db.desserts.save({ name: "Cherry Pie", ingredients: ["cherries", "pie"], cooking_time: 30 });$

$Searching – A Piece Of Cake db.recipes.find({ cooking_time: { “$gte”: 10, “$lt”: 30} }) db.recipes.findOne()$

$Some More Advanced Query Syntax  Limiting  db.find().limit(10);  Skipping  db.find( ).skip(5);  Sorting  db.find({…}).sort({cooking_time: “-1”});  Cursors  var cur = db.find({…}).cursor()  cur.forEach( function(x) { print(tojson(x)) });$

MapReduce
 Great way of doing bulk manipulation or
aggregation.
 2 or 3 functions written in JavaScript that
execute on the server.
 An example use could be generating a list
of top queries from some search logs.

Map Function
 Takes some input of the form of key/value pairs.
 Does something with that
 Returns 0 or more key/value pairs
map = function() {
if (!this.query) {
return;
}
emit (this.query, {count: 1});
}

Reduce Function
 Takes the results from the map function
 Does something (normally combine the results)
 Produces output in key/value pairs
reduce = function(key, values) {
var count = 0;
values.forEach(function(v) {
count += v[‘count’];
}
return {count: count;}
}

Replica Sets
 Master/Slave configuration
 If your primary server goes down, one of
the secondary ones takes over.

But Why Not Try It Yourself
 Download it at: http://www.mongodb.org
 Online tutorial
at:http://www.mongodb.org/display/DOCS
/Tutorial
 Some handy MongoDB sites:
 MongoDB Cookbook:
http://cookbook.mongodb.org/
 Kyle Banker’s blog:
http://kylebanker.com/blog/

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Introduction tomongodb

2. But First, A Little About Me  My name’s Lee Theobald. Hello!  Twitter: @Leesy  Never updated blog: http://www.ltheobald.co.uk/  I’m a developer at a small search company in Cambridge called Open Objects.

4.  NoSQL database  The name is short for humongous  Open source with development lead by 10Gen (http://www.10gen.com)  Document Based  Schema-less  Highly Scalable  MapReduce  Replication & Auto Sharding

5. Document Store  Data is stored in the form of JSON data. { "_id" : ObjectId("4ccbfc75bd163019417c27f8"), "title": “Hello World! ", "author": { "firstname": "Joe", "lastname": "Bloggs" }, "tags": ["test", "foo", "bar"] }

6. Familiar Structure  MongoDB instances contain a number of databases which in turn contain a number of collections.  Think of MySQL with it’s databases & tables.  But collections can also be nested. E.g.  customer_a (Database) ○ logs_201009 (Collection)  top_queries (Collection)

7. Inserts – Easy As Pie! use cookbook; db.desserts.save({ name: "Cherry Pie", ingredients: ["cherries", "pie"], cooking_time: 30 });

8. Searching – A Piece Of Cake db.recipes.find({ cooking_time: { “$gte”: 10, “$lt”: 30} }) db.recipes.findOne()

9. Some More Advanced Query Syntax  Limiting  db.find().limit(10);  Skipping  db.find( ).skip(5);  Sorting  db.find({…}).sort({cooking_time: “-1”});  Cursors  var cur = db.find({…}).cursor()  cur.forEach( function(x) { print(tojson(x)) });

10. MapReduce  Great way of doing bulk manipulation or aggregation.  2 or 3 functions written in JavaScript that execute on the server.  An example use could be generating a list of top queries from some search logs.

11. Map Function  Takes some input of the form of key/value pairs.  Does something with that  Returns 0 or more key/value pairs map = function() { if (!this.query) { return; } emit (this.query, {count: 1}); }

12. Reduce Function  Takes the results from the map function  Does something (normally combine the results)  Produces output in key/value pairs reduce = function(key, values) { var count = 0; values.forEach(function(v) { count += v[‘count’]; } return {count: count;} }

13. Replica Sets  Master/Slave configuration  If your primary server goes down, one of the secondary ones takes over.

14. Auto Sharding

15. But Why Not Try It Yourself  Download it at: http://www.mongodb.org  Online tutorial at:http://www.mongodb.org/display/DOCS /Tutorial  Some handy MongoDB sites:  MongoDB Cookbook: http://cookbook.mongodb.org/  Kyle Banker’s blog: http://kylebanker.com/blog/

Introduction tomongodb

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