Product catalog using MongoDB

Oct 23, 2012Download as ODP, PDF2 likes5,615 views

This is a presentation on how to build an e-Commerce product catalog using MongoDB and the best practices we followed

e-Com Product Catalog using
MongoDB

- Vishwas Bhagath
vbhagath@equalexperts.com

http://www.equalexperts.com/

Why MongoDB ?

● Agile incremental releases with a short time to market
● Feeds from multiple vendors containing products with
varying schema
● Complex queries on product attributes
● Rich Content user experience
● Capital risk mitigation

http://www.equalexperts.com/

How we approached...
● Modeling and schema design
● Querying
● Referencing one document in another
● Rich content using GridFS
● Indexes
● MongoDB challenges
➢ Locking mechanism
➢ Managing Schema and fat fingers

http://www.equalexperts.com/

$Domain model {"_id" : ObjectId("5082626144ae3a687919c094"), "name" : "iPhone 5 Pop Blue Case", "canonicalName" : "iphone-5-pop-blue-case", "retailPrice" : 19.99, "productCode" : "G4IC542G", "category" : { "categoryCode" : "CAS", "name" : "Cases", "canonicalName" : "cases" }, "compatibleHandsets" : [{ "manufacturer" : { "name" : "Apple", "canonicalName" : "apple" }, "model" : "iPhone 5 16GB", "name" : "Apple_iPhone_5_16GB", "canonicalName" : "apple_iphone_5_16gb" }], review_ids : ["review_id1", "review_id2"] } http://www.equalexperts.com/$

Querying
● Querying for a accesory by a category :
db.accessory.find({"category.canonicalName" : "cases"})

● Querying for a accessory by list of categories :
db.accessory.find({"category.canonicalName" : {"$in" : ["cases",
"memory"]}})

● Getting distinct categories of products:
db.accessory.distinct("category");

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Querying contd...
● Querying all cases between a price range sorted by price
db.accessory.find( { $and : [{"category.canonicalName" : "cases"},
{"retailPrice" : {$gt : 15, $lt : 25}}]}).sort({“retailPrice” : 1})

● Querying accessories by text:
db.accessory.find( {"keywords" : { $regex : "iphone", $options : 'I'}})

● Querying embedded arrays:
db.accessory.find({"compatibleHandsets" : {$elemMatch :
{ "manufacturer.canonicalName" : "nokia"}}})

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Referencing documents
● Manual Referencing – Save the _id field of one
document in another as a reference manually.
Eg : Accessory - Reviews

● DBRefs – A standard convention for referencing a
document in another. It stores the name of the
collection and the _id of the parent document.
Eg : Basket - Accessory

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GridFS
● Storage specification for storing large binary objects in
mongoDB as BSON documents
● Easy to use and can store files upto 16MB
GridFS gfs = new GridFS(dbName);
//create file
gfs.createFile(inputStream, “myFileName”);
//retrieve file
gfs.findOne(“myFileName”);

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Indexes
● Indexes
db.accessory.ensureIndex({“name” : 1})
● Unique Keys
db.accessory.ensureIndex({“canonicalName” :
1}, {unique : true})
● Sparse Keys
db.order.ensureIndex({“uniqueActiveOrder” :
1}, {unique : true, sparse : true})

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Optimistic Locking mechanism
● Set ReadPreference on these collections to
Primary
● Give the lock key to each client who reads the
collection
● Each time you update generate a unique lock key
● Before update check if the lock key from client
matches the one in the DB, if not do not update
since the object is stale.

http://www.equalexperts.com/

Manging schemas
● DB to Object Convertors and vice versa
should be written to manually manage the old
schema to the current one as we release code
to production
● Requires high developer discipline and good
knowledge of previous object model
● Delayed replication node

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Questions

http://www.equalexperts.com/

During this session we will cover the best practices for implementing a product catalog with MongoDB. We will cover how to model an item properly when it can have thousands of variations and thousands of properties of interest. You'll learn how to index properly and allow for faceted search with milliseconds response latency and how to implement per-store, per-sku pricing while still keeping a sane number of documents. We will also cover operational considerations, like how to bring the data closer to users to cut down the network latency.

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Product catalog using MongoDB

1. e-Com Product Catalog using MongoDB - Vishwas Bhagath [email protected] http://www.equalexperts.com/

2. Why MongoDB ? ● Agile incremental releases with a short time to market ● Feeds from multiple vendors containing products with varying schema ● Complex queries on product attributes ● Rich Content user experience ● Capital risk mitigation http://www.equalexperts.com/

3. How we approached... ● Modeling and schema design ● Querying ● Referencing one document in another ● Rich content using GridFS ● Indexes ● MongoDB challenges ➢ Locking mechanism ➢ Managing Schema and fat fingers http://www.equalexperts.com/

4. Domain model {"_id" : ObjectId("5082626144ae3a687919c094"), "name" : "iPhone 5 Pop Blue Case", "canonicalName" : "iphone-5-pop-blue-case", "retailPrice" : 19.99, "productCode" : "G4IC542G", "category" : { "categoryCode" : "CAS", "name" : "Cases", "canonicalName" : "cases" }, "compatibleHandsets" : [{ "manufacturer" : { "name" : "Apple", "canonicalName" : "apple" }, "model" : "iPhone 5 16GB", "name" : "Apple_iPhone_5_16GB", "canonicalName" : "apple_iphone_5_16gb" }], review_ids : ["review_id1", "review_id2"] } http://www.equalexperts.com/

5. Querying ● Querying for a accesory by a category : db.accessory.find({"category.canonicalName" : "cases"}) ● Querying for a accessory by list of categories : db.accessory.find({"category.canonicalName" : {"$in" : ["cases", "memory"]}}) ● Getting distinct categories of products: db.accessory.distinct("category"); http://www.equalexperts.com/

6. Querying contd... ● Querying all cases between a price range sorted by price db.accessory.find( { $and : [{"category.canonicalName" : "cases"}, {"retailPrice" : {$gt : 15, $lt : 25}}]}).sort({“retailPrice” : 1}) ● Querying accessories by text: db.accessory.find( {"keywords" : { $regex : "iphone", $options : 'I'}}) ● Querying embedded arrays: db.accessory.find({"compatibleHandsets" : {$elemMatch : { "manufacturer.canonicalName" : "nokia"}}}) http://www.equalexperts.com/

7. Referencing documents ● Manual Referencing – Save the _id field of one document in another as a reference manually. Eg : Accessory - Reviews ● DBRefs – A standard convention for referencing a document in another. It stores the name of the collection and the _id of the parent document. Eg : Basket - Accessory http://www.equalexperts.com/

8. GridFS ● Storage specification for storing large binary objects in mongoDB as BSON documents ● Easy to use and can store files upto 16MB GridFS gfs = new GridFS(dbName); //create file gfs.createFile(inputStream, “myFileName”); //retrieve file gfs.findOne(“myFileName”); http://www.equalexperts.com/

9. Indexes ● Indexes db.accessory.ensureIndex({“name” : 1}) ● Unique Keys db.accessory.ensureIndex({“canonicalName” : 1}, {unique : true}) ● Sparse Keys db.order.ensureIndex({“uniqueActiveOrder” : 1}, {unique : true, sparse : true}) http://www.equalexperts.com/

10. Optimistic Locking mechanism ● Set ReadPreference on these collections to Primary ● Give the lock key to each client who reads the collection ● Each time you update generate a unique lock key ● Before update check if the lock key from client matches the one in the DB, if not do not update since the object is stale. http://www.equalexperts.com/

11. Manging schemas ● DB to Object Convertors and vice versa should be written to manually manage the old schema to the current one as we release code to production ● Requires high developer discipline and good knowledge of previous object model ● Delayed replication node http://www.equalexperts.com/

12. Questions http://www.equalexperts.com/

Product catalog using MongoDB

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Product catalog using MongoDB