MongoDB & PHP
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This document provides an introduction to NoSQL and MongoDB. It discusses the challenges with relational databases and how NoSQL databases like MongoDB are better suited for unstructured and growing datasets. The document then covers MongoDB specifically, including its features, data types, installation, and usage with PHP. It provides examples of basic CRUD operations in MongoDB and references for further reading.
![SQL to MONGO
SQL Statements Mongo Statements
SELECT * from table1 where a=33 and b=100 db.coll1.find({a:33,b:100});
SELECT * from table1 LIMIT 100 db.coll1.find().limit(100);
SELECT * from table1 where a =33 or a=45 or db.coll1.find({$or:[{a:33},{a:45},{a:50}]})
a=50
SELECT DISTINCT a from table1 db.coll1.distinct('a');
SELECT count(*) from table1 db.coll1.count();
SELECT count(*) from table1 where a=33 db.coll1.find({a:33}).count();
CREATE INDEX myindexname ON table1(a) db.coll1.ensureIndex({a:1})
UPDATE table1 set a=44 where b=100 db.coll1.update({b:100},{$set:
{a:44}},false,true);
DELETE from table1 where a=44 db.coll1.remove({a:44});
25](https://image.slidesharecdn.com/nosql-120812151913-phpapp02/85/MongoDB-PHP-25-320.jpg)
MongoDB & PHP
- 1. + 1
- 2. I am Sanjeev Shrestha @sanjeevshrestha 2
- 3. In these slides... NoSQL TYPES MongoDB INSTALLATION PHP & MongoDB 3
- 5. Challenges with RDBMS Assumes WELL DEFINED data structure data is DENSE and largely UNIFORM PROPERTIES of data can be defined upfront INTERRELATIONSHIP are well ESTABLISHED & SYSTEMATIC INDEXES can be CONSISTENTLY DEFINED May SNAP when data grows enormously But ... that may not be TRUE 5
- 6. DATA is Unstructured Does not make sense OW DATA is GR IN G at high speed 6
- 7. NoSQL? No Rel / No SQL / Not Only SQL / NoSQL Non RELATIONAL DISTRIBUTED DATASTORES May NOT provide ACID Not a Single Product or Technology Data Storage and Manipulation 7
- 8. NoSQL Storage Types DOCUMENT STORE GRAPH KEY-VALUE STORE TABULAR multivalue database object database rdf database tuple store 8
- 9. 9
- 10. MongoDB High PERFORMANCE CONSISTENT Fully HORIZONTALLY scalable DOUMENT Oriented 10
- 11. Best Features of KEY-VALUE stores, DOCUMENT database & RELATIONAL databases 11
- 12. Why so POPULAR? EASY to USE SIMPLER concepts EASY on ramp for NoSQL Many DEV/OPERATIONAL things come inbuilt More AGILE than RDBMS Less UPFRONT DESIGN needed than RDBMS SCALABLE schema and storage 12
- 13. Built for SPEED Built for SPEED (written in C++) Data serialized to BSON Extensive use of MEMORY MAPPED Files PADS DISK SPACE around document 13
- 14. Why MongoDB? HIGH AVAILABILITY JOURNALING REPLICATION SHARDING INDEXING AGGREGATION MAP/REDUCE 14
- 15. Negatives of MONGODB INDEXES are not flexible REALTIME QUERIES may not be as fast as others Good enough only if queries are SIMPLE Not as MATURED as RDBMS 15
- 16. 16
- 17. MONGODB seems to be the leader. CASSANDRA stands close second. 17
- 18. RDBMS VS MONGODB STRUCTURE RDBMS MONGODB DATABASE DATABASE TABLES COLLECTIONS COLUMNS DOCUMENTS ROWS FIELDS 18
- 19. RDBMS VS MONGODB RDBMS MONGODB STORED PROCEDURES STORED JAVASCRIPT DATABASE SCHEMA SCHEMA FREE SUPPORTS JOINS NO JOINS 19
- 20. Relational normalized DATA 20
- 21. Document Database normalized DATA 21
- 22. MySQL to MongoDB MySQL Term MongoDB Term Database Database Tables Collection Rows BSON Document Column BSON Fields Index Index Join Embedding and Linking Primary Key _id field Group by Aggregation 22
- 23. SQL to MONGO SQL Statements Mongo Statements CREATE DATABASE sqltest use mongotest USE sqltest implicit CREATE TABLE table1 (a Number, b db.createCollection('coll1'); Number) ALTER TABLE table1 add … implicit INSERT INTO table1 values(100,22) db.coll1.insert({'a':'100,'b':22}); 23
- 24. SQL to MONGO SQL Statements Mongo Statements SELECT * from table1 db.coll1.find(); SELECT * from table1 where a=33 db.coll1.find({a:33}); SELECT a,b from table1 where a =44 db.coll1.find({a:44},{a:1,b:1}); SELECT * from table1 where b like '%abc%' db.coll1.find({b:/abc/}); SELECT * from table1 where b like 'abc%' db.coll1.find({b:/^abc/}); SELECT * from table1 where a>50 db.coll1.find({a:{$gt:50}}); SELECT * from table1 where a <40 db.coll1.find({a:{$lt:40}}); SELECT * from table1 where a<=40 db.coll1.find({a:{$lte:40}}); SELECT * from table1 where a =33 order by db.coll1.find({a:33}).sort({name:1}) name SELECT * from table1 where a=33 order by db.coll1.find({a:33}).sort({name:-1}) name DESC SELECT * from table1 LIMIT 1 db.coll1.findOne(); 24
- 25. SQL to MONGO SQL Statements Mongo Statements SELECT * from table1 where a=33 and b=100 db.coll1.find({a:33,b:100}); SELECT * from table1 LIMIT 100 db.coll1.find().limit(100); SELECT * from table1 where a =33 or a=45 or db.coll1.find({$or:[{a:33},{a:45},{a:50}]}) a=50 SELECT DISTINCT a from table1 db.coll1.distinct('a'); SELECT count(*) from table1 db.coll1.count(); SELECT count(*) from table1 where a=33 db.coll1.find({a:33}).count(); CREATE INDEX myindexname ON table1(a) db.coll1.ensureIndex({a:1}) UPDATE table1 set a=44 where b=100 db.coll1.update({b:100},{$set: {a:44}},false,true); DELETE from table1 where a=44 db.coll1.remove({a:44}); 25
- 26. INSTALLATION It is DEAD SIMPLE Refer to the following link http://www.mongodb.org/display/DOCS/Quickstart/ 26
- 27. Get started with MongoDB MONGO SHELL $ mongo 27
- 28. Listing DATABASES show dbs; 28
- 29. Creating DATABASE use databasename but DB is not created DB is created only when you create a collection 29
- 30. Creating a COLLECTION db.createCollection('articles') No Definition required 30
- 31. Listing COLLECTIONS show collections 31
- 32. Inserting DOCUMENT db.collection.insert(<json formatted data>); e.g. db.articles.insert({title:'This is test article',slug:'this-is-test-article',text:'This is test article and it does not contain anything',count:10}); 32
- 33. Listing DOCUMENTS db.collection.find() 33
- 34. Updating DOCUMENTS db.collection.update( criteria, objNew, upsert, multi ) Upsert = update data if exists, insert as new data if not Multi = make multiple updates matching criteria e.g. db.articles.update({count:20},{$set:{title:'This is second article',slug:'this-is-second- art'}},true,false) 34
- 35. creating INDEX db.collection.ensureIndex(index); eg. db.articles.ensureIndex({title:1}) 35
- 36. MONGODB-PHP EXTENSION Available from PECL shell> pecl install mongo 36
- 37. Loading MONGO EXTENSION in PHP Add extension=mongo.so to php.ini Or any other file like mongo.ini but make sure it is loaded by php 37
- 38. Is it LOADED? Check PHP information 38
- 39. Creating a CONNECTION 39
- 40. Selecting DB & COLLECTION 40
- 41. Listing from a COLLECTION 41
- 42. Adding DOCUMENT 42
- 43. 43
- 44. Updating a DOCUMENT 44
- 45. 45
- 46. Deleting a DOCUMENT 46
- 47. Working with multiple COLLECTIONS no JOINS Instead REFs are used TWO Types MANUAL / DBREFs 47
- 48. Manual REFs 48
- 49. DBREFs 49
- 50. Listing Data from multiple COLLECTION 50
- 51. What NEXT? GRIDFS MAP/REDUCE MONGOCODE {stored javascript} AGGREGATION SHARDING REPLICAS 51
- 53. THANK YOU & HAPPY CODING 53