MongoDB for the SQL Server

1. MongoDB for the SQL Server Pro

2. What is MongoDB?
• Open source NoSQL database
• Document-oriented
• Stores JSON-like documents (dynamic schemas)
• Includes a strong query language (javascript)
• Powerful, flexible indexing (including geospatial)
• Sharding and replication
• Cross-Platform (many drivers )

3. QUICKSTART - SETUP MONGODB
Demo

4. Get MongoDB and Driver(s)
• Quick download, zero install
• Also get your driver (C# for us)

5. Starting up MongoDB

6. Using the Console

7. Using MongoVue

8. Connecting with MongoVue

9. Using MongoVue

10. COMPARING DOCUMENT
DATABASES TO RDBMS SYSTEMS
Understanding more..

11. So which type of NoSQL? CAP…
Consistency
Availability
Partition
Tolerance
CP = noSQL/column
Hadoop
Big Table
H-base
MemCacheDB
(graph)?
CA = SQL/RDBMS
SQL Sever / SQL
Azure
Oracle
MySQL
AP = noSQL/document
or key/value
MongoDB
DynamoDB
CouchDB
Cassandra
Voldemort

12. DB Features for MongoDB & SQL Server
primary keys
and indexes
queries with
models for
sorting /
limiting results
a strong
typing system
aggregations
like SUM(),
COUNT(), etc…
Large object
support

13. DB Features unique to Document DBs
Collections, not Tables
Query language, not T-SQL
Idrefs, not Joins
No pre-defined Schema
• Aggregation Framework
• Grouping or MapReduce
Aggregations
• No multi-document transactions
No Transactions
No Full-text search

14. Use 10gen Quick Reference Cards

15. DB Features of note in MongoDB
• BSON supports more complex types (date, geo-spatial, etc…)
• Supports dynamic queries via proprietary query language
– Uses “find()” which returns a [lazy] cursor
– Multi-key indexes can be created
• Scalability via Replication and Sharding

16. Why use MongoDB?
• Document-like
• Semi-structured
• Few Joins
• Geospatial
Data Structure
• Large or Huge
• Distributed
• Unpredictable
Data Volume

17. MongoDB Scenarios
Document
Management
systems
E-commerce
(catalog portion
only)
Archiving /
event logging
Real time
analytics (based
on logging)
Gaming Geospatial
Mobile

18. IMPORTING DATA TO MONGODB
Demo

19. Adding Data
• Data must be in JSON format - converter
• “Insert” CREATES a collection if needed

20. Importing data…using MongoVue

21. Viewing Collection Data

22. USING VELOCITY FOR MODELING
Demo

23. Modeling
Use short names
• each name is saved for
each document
• can save up to 30%
storage
Keep collections
small
• Can create non-
default (narrower) key
• Document size
maximum is 4 MB
Use GridFS for
BLOBs

24. Comparing…

25. QUERY MONGODB DATA
Demo

26. Using Find
Find, Fields, Sort, Count, Skip, Limit, Visualize or Export

27. Data Visualization

28. Queries

29. Queries 2 …

30. Queries 3…

31. What is Grouping?
• Similar to T-SQL ‘Group By’
• Written in javascript

32. What about Joins?
No
traditional
joins in
MongoDB
Can use
Arrays
Can use
Embedded
Documents
Can use
DBRef
Can De-
normalize
schema

33. About the Aggregation Framework
• New in MongoDB 2.2
• Layer on top to facilitate easier query-writing

34. Query Tuning
• Use best indexes
– Evaluate use of _id
– Add columns to index (specificity)
– Multiple columns, most specific first
– Can use fully covered indexing (indexOnly:true)
– Test to make sure indexes are being used
• Qty scanned s/b same as QTY returned
• Use .explain

35. Understanding Explain
• Query execution detail plan
• Review number of scanned objects

36. ADD INDEXES TO MONGODB
Understanding more

37. Modifying Data
Update
• alone does a replace
Update w/ $set
• does an update
Update w/ $inc
• increments
Upserts
• must be enabled
• then insert if new,
update if existing
Multiple field
updates
• occur by default

38. Using Update

39. USING GRIDFS
Understanding more…

40. What is GridFS?
• Used to hold objects larger than 16 MB

41. CONNECTING TO MONGODB WITH C#
Demo

42. Programming against MongoDB

43. More Information
• MongoDB
– http://www.mongodb.org
• 10gen
– http://www.10gen.com/contact
– info@10gen.com
• YouTube videos (from Lynn Langit)
– MongoDB Playlist -
https://www.youtube.com/playlist?list=PLCE5902FB1D284880
&feature=view_all
• MongoDB LA UG - http://www.meetup.com/Los-Angeles-
MongoDB-User-Group

44. The Changing Data Landscape
NoSQL
RDBMS
Other
Services