Webinar: MongoDB Migration Patterns - How Customers Start Using MongoDB

Migrating data to MongoDB

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Agenda

• Why move your data

• Considerations for migration

• Techniques for implementing migration

• Case study: How Shutterfly migrated 20TB of production meta data with no downtime

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Why move your data?

• Improve development agility with documents

• Reduce cost of data management

• Scale to handle large data sets & transaction volumes

Considerations

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Does your schema need to change?

Relational MongoDB{ first_name: ‘Paul’, surname: ‘Miller’ city: ‘London’, location: [45.123,47.232], cars: [ { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } ]}

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How does the Application move over?

Source Database

Application

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How does data get moved?

Source Database

Snapshot

Continuous Sync

Batch Migration

Application

Application Managed

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Can you have downtime?

Source Database Master Exporting

Importing Master

Available Degraded Down AvailableApplication View

Time

Data Migration Technique

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Mongoimport

jsr@bruford:/tmp$ mongoimport --collection import_example < import.json connected to: 127.0.0.1Tue Jun 18 00:02:12.553 imported 1 objectsjsr@bruford:/tmp$ mongo MongoDB shell version: 2.4.3connecting to: test> db.import_example.findOne() {

"_id" : ObjectId("51bfdbc438b61619a4f2a12b"),"first" : "Jared","last" : "Rosoff","twitter" : "@forjared"

}>

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Extract, Transform & Load

Source DatabaseETL

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Hadoop

Source Database

jobjob

jobjob

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App Driven Migration

Source Database

Application

Case Study

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Case Study

Uses MongoDB to safeguard over 6 billion images served to millions of customers

Problem Why MongoDB Results

• 6B images, 20TB of data

• Brittle code base on top of Oracle database – hard to scale, add features

• High SW and HW costs

• JSON-based data model

• Agile, high performance, scalable

• Alignment with Shutterfly’s services-based architecture

• 80% cost reduction

• 900% performance improvement

• Faster time-to-market

• Dev. cycles in weeks vs. tens of months

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• Meta data stored in XML Blobs

• App responsible for content of blob

Shutterfly

Oracle

Photo ID

XML Blob

1 <xml><meta-data>…</xml>



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1. Request for photo

2. Try to read from MongoDB

3. If cache miss, read from Oracle

4. Translate document & write to MongoDB

5. Return to client

Migrating records on demand

Source Database

Application

1

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4

5

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Schema Migration – Initial

<?xml version="1.0" encoding="utf16"?><votes> <voteItem user="00000000" vote="1" /> <voteItem user="11111111" vote="1" /> <voteItem user="22222222" vote="1" /></votes>

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Schema Migration – Phase 2


{ _id : "site/the3colbys/3326/_votes", "V" : 0, "cD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "wD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "md5" : "71199d82ee730f271feface722a74d30", "data" : "<?xml version=\"1.0\" encoding=\"utf16\"?> <votes> <voteItem user=\"00000000\" vote=\"1\" /> <voteItem user=\"11111111\" vote=\"1\" /> <voteItem user=\"22222222\" vote=\"1\" /> </votes>" }

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Schema Migration – Phase 2


{ _id : "site/the3colbys/3326/_votes", "V" : 0, "cD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "wD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "md5" : "71199d82ee730f271feface722a74d30", "data" : "<?xml version=\"1.0\" encoding=\"utf16\"?> <votes> <voteItem user=\"00000000\" vote=\"1\" /> <voteItem user=\"11111111\" vote=\"1\" /> <voteItem user=\"22222222\" vote=\"1\" /> </votes>" }

{ _id : "site/the3colbys/3326/_votes", "V" : 0, "cD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "wD" : "Thu Sep 23 2010 20:38:54 GMT-0700 (PDT)", "md5" : "71199d82ee730f271feface722a74d30", "votes" : { 000000000:1, 111111111:1, 222222222:1 }}

Webinar: MongoDB Migration Patterns - How Customers Start Using MongoDB

Technology

Webinar: MongoDB Migration Patterns - How Customers Start Using MongoDB