1. Azure DocumentDB: Advanced Features for Large-Scale Apps {
"name": "Andrew Liu",
" ":
"twitter": }

2. First… a Story

3. Indexing JSON and fighting zombies at SCALE

4. Next Games The Walking Dead TV show
Drama about a zombie walker apocalypse on AMC
First cable drama to beat broadcast shows
Most watched cable TV show in the US (16M users)
Game Development Studio Based in Helsinki, Finland
65 employees
Develop F2P mobile games for iOS and Android
Based on own & licensed IP

5. The Challenge More Users, More Problems
Scale with expectation of millions of users on Day 1
Deliver real time responsiveness for a lag-free, gaming experience
Highly competitive – high scores and global leaderboards critical

7. The Results #1 in Apple app store free apps during launch week
>1M downloads
~1B queries per day
99p queries served under 10ms

8. How?

9. Just throw some data in a database!

10. Just throw some data in a database!

11. Not that easy…

12. Why is this such a hard problem?
Caches
Scoreboard keeps updating…
SQL database
Need to shard
Schema and Index Management
Loss of relational benefits
Azure Table Storage
Secondary Indexes
Latency
Throughput

13. Azure DocumentDB

14. Perfect for these Documents schema-agnostic JSON store for{
"name": "SmugMug",
"permalink": "smugmug",
"homepage_url": "
"blog_url": "
"category_code": "photo_video",
"products": [
"permalink": "smugmug" } ],
"offices": [
"description": "",
"address1": "67 E. Evelyn Ave",
"address2": "",
"zip_code": "94041",
"city": "Mountain View",
"state_code": "CA",
"country_code": "USA",
"latitude": ,
"longitude": ]
Perfect for these
Documents
schema-agnostic JSON store
for
hierarchical and de-normalized data at scale

15. Not these
documents

16. Perfect for these Documents schema-agnostic JSON store for
10/12/2018 {
"name": "SmugMug",
"permalink": "smugmug",
"homepage_url": "
"blog_url": "
"category_code": "photo_video",
"products": [
"permalink": "smugmug" } ],
"offices": [
"description": "",
"address1": "67 E. Evelyn Ave",
"address2": "",
"zip_code": "94041",
"city": "Mountain View",
"state_code": "CA",
"country_code": "USA",
"latitude": ,
"longitude": ]
Perfect for these
Documents
schema-agnostic JSON store
for
hierarchical and de-normalized data at scale
Well nested, multiple properties and values
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

17. Why? Horizontal Scaling for storage and throughput
High performance with SSDs and automatic indexing
Operating on a global scale

18. Fully managed as a service
10/12/2018
Fully managed as a service
Predictable Performance
Hourly Billing
99.95% Availability
Adjustable Performance Levels
database
users, permissions S1 S2 S3
collections …
Image licensed under the Creative Commons Attribution 2.0 Generic license:
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

19. Fully managed as a service
10/12/2018
Fully managed as a service
Predictable Performance
Hourly Billing
99.95% Availability
Adjustable Performance Levels
database
users, permissions S1 S2 S3
collections …
Image licensed under the Creative Commons Attribution 2.0 Generic license:
I’m not crying anymore
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

20. Request Units Predictable Performance
10/12/2018
Request Units
% CPU
GET
Resource
READ
% IOPS
Resource
set
Resource
POST
% Memory
INSERT
Request Unit (RU) is the normalized currency
Replica gets a fixed budget of Request Units
Resource
PUT
Resource
REPLACE
Predictable Performance
Most import metric in DocumentDB!
DELETE
Resource
DELETE
Documents
SQL
POST
Query
args
POST
sprocs
EXECUTE
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

21. Microsoft Build 2016
10/12/ :23 PM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

22. Mobile games – cloud backend
10/12/ :23 PM
Mobile games – cloud backend
Powerful clients, backend used to connect users and enhance play
Store data outside mobile device (levels, scores, badges)
Facilitate multiplayer games & social gameplay
Manage the leaderboard
Orchestrate push notifications
Facilitate in-game purchases
Deliver dynamic game content
iOS
Windows
Android
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

23. Mobile games – cloud backend
10/12/ :23 PM
Mobile games – cloud backend
Simplified TWD architecture
Mobile Game Backend Services
Queues
iOS
Cloud
Endpoints
Storage
Windows
Logging / Analytics
NoSQL Database
Push Notifications
Android
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

24. Mobile games – cloud backend
10/12/ :23 PM
Mobile games – cloud backend
Simplified TWD architecture
iOS
Storage Queues
Cloud Services
Storage, CDN
Traffic Manager
Windows
Gaming Analytics Service
DocumentDB
Notification Hubs
Android
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

25. Backend services and state
10/12/ :23 PM
Backend services and state
Worker roles proffering services over game data
In-app purchases Service
Game Frontend (SignalR Hub)
Leaderboard Service
Social & Guild Service
Admin Service
Notification Service
Logging / Analytics Service
Gaming storage with DocumentDB
Player data and scores
Guild and social data
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

26. Scaling player data store
10/12/ :23 PM
Scaling player data store {
"id": "G02-D06-5d085b11",
"CountryCode": "hk",
"Nickname": "DannyBoy",
"NicknameLower": "dannyboy",
"Score": 0,
"SecondaryScore": 18,
"IndexScore": 0.18,
"Level": 1,
"HashedId": "b134bd5c5b5748f",
"LastSaveUnixTime": ,
"LastLoadUnixTime": ,
"DisconnectedUnixTime": ,
"FacebookId": "FB_ ",
"GameCenterId": "GC_G: " }
Partitioned on composite id for scale out
Low latency (<10 ms) queries
Player data – nickname, high scores, alternative IDs
Query by alternative social IDs
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

27. Player data APIs AddPlayer UpdatePlayer GetPlayerJsonById
10/12/ :23 PM
Player data APIs
AddPlayer
UpdatePlayer
GetPlayerJsonById
GetPlayerJsonByHashedId
GetPlayerDataSubsetByHashedIds
GetPlayerDataByFacebookId
GetPlayerDataByGamecenterId
GetPlayerDataByGoogleId {
"id": "G02-D06-5d085b11",
"CountryCode": "hk",
"Nickname": "DannyBoy",
"NicknameLower": "dannyboy",
"Score": 0,
"SecondaryScore": 18,
"IndexScore": 0.18,
"Level": 1,
"HashedId": "b134bd5c5b5748f",
"LastSaveUnixTime": ,
"LastLoadUnixTime": ,
"DisconnectedUnixTime": ,
"FacebookId": "FB_ ",
"GameCenterId": "GC_G: " }
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

28. Guild APIs for social GetGuildJsonById GetGuildMembersById
10/12/ :23 PM
Guild APIs for social {
"id":"67879d8e",
"GuildMembers": [
{ "MemberId": "75c14f1d",
"Name": "RickGrimes",
"PlayerLevel": 7,
"Role": "Leader",
"State": "Normal",
"CurrentChallengeStars": 0,
"TotalChallengeStars": 5
}],
"GuildMembersPending": [ ],
"ChatMessages": [
{ "PlayerId": "67879d8e",
"Name": "lee",
"Message": "hi",
"Time": ,
"NotificationType": "None" }] }
GetGuildJsonById
GetGuildMembersById
AddGuildMember
AddPendingGuildMember
AddChatMessage
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

29. Data partitioning and re-partitioning
10/12/ :23 PM
Data partitioning and re-partitioning
Distributing throughput over partitions
Data spread with consistent hashing
HashFn(N)
HashFn(N+1)
HashFn(N)
HashFn(N+1)
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

30. There isn’t always time for partition management
10/12/ :23 PM
There isn’t always time for partition management
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

31. Partitioned collections
10/12/ :23 PM
Partitioned collections
Scale throughput (RUs) and storage independently
Scale beyond current single partition collection limits
Adjust reserved throughput based on application requirements
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

32. Creating partitioned collections
10/12/ :23 PM
Creating partitioned collections
//pre-defined collections
DocumentCollection collectionSpec = new DocumentCollection { Id = "Walkers" };
RequestOptions options = new RequestOptions { OfferType = "S3" };
DocumentCollection documentCollection = await client.CreateDocumentCollectionAsync("dbs/" + database.Id, collectionSpec, options);
//partitioned collections
collectionSpec.PartitionKey.Paths.Add(“/walkerId”);
int collectionThroughput = ;
RequestOptions options = new RequestOptions { OfferThroughput = collectionThroughput };
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

33. DocumentDB global databases (Preview)
10/12/ :23 PM
DocumentDB global databases (Preview)
For applications with global reach
Replicated, multi-region databases
Access data with low latency
Develop multi-region apps with well defined consistency levels
Dynamically configure write region
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

34. App defined regional preferences
10/12/ :23 PM
App defined regional preferences
ConnectionPolicy docClientConnectionPolicy = new ConnectionPolicy { ConnectionMode = ConnectionMode.Direct, ConnectionProtocol = Protocol.Tcp };
docClientConnectionPolicy.PreferredLocations.Add(LocationNames.EastUS2);
docClientConnectionPolicy.PreferredLocations.Add(LocationNames.WestUS);
docClient = new DocumentClient(
new Uri("
"PARvqUuBw2QTO4rRXr6d1GnLCR7VinERcYrBQvDRh6EDTJLOHtZxgjTS4pv8nQv2Lg1QQLBLfO6TVziOZKvYow==",
docClientConnectionPolicy);
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

35. One more thing…

36. A few
One more thing… s

37. Automatic Indexing

38. Query over schema-free JSON
10/12/2018
Query over schema-free JSON
SQL Query Grammar
-- Nested lookup against index
SELECT Books.Author
FROM Books
WHERE Books.Author.Name = "Leo Tolstoy"
-- Transformation, Filters, Array access
SELECT { Name: Books.Title, Author: Books.Author.Name }
WHERE Books.Price > 10 AND Books.Languages[0] = "English"
-- Joins, User Defined Functions (UDF)
SELECT CalculateRegionalTax(Books.Price, "USA", "WA")
JOIN LanguagesArr IN Books.Languages
WHERE LanguagesArr.Language = "Russian"
Query over heterogeneous documents without defining schema or managing indexes
Query arbitrary paths, properties and values without specifying secondary indexes or indexing hints
Execute queries with consistent results in the face of sustained writes
Query through fluent language integration including LINQ for .NET developers and a “document oriented“ SQL grammar for traditional SQL developers
Extend query execution through application supplied JavaScript UDFs
Supported SQL features include; predicates, iterations (arrays), sub-queries, logical operators, UDFs, intra-document JOINs, JSON transforms
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

39. Indexing Example How it works
10/12/2018
Indexing
How it works
Automatic indexing of documents
JSON documents are represented as trees
Structural information and instance values are normalized into a JSON-Path
Fixed upper bound on index size (typically 20% in real production data)
Example
{"headquarters": "Belgium"}  /"headquarters"/"Belgium"
{"exports": [{"city": “Moscow"}, {"city": Athens"}]}  /"exports"/0/"city"/"Moscow" and /"exports"/1/"city"/"Athens".
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

40. Indexing Policies Configuration Level Options Automatic Per collection
10/12/2018
Indexing Policies
Configuration
Level
Options
Automatic
Per collection
True (default) or False
Override with each document write
Indexing Mode
Consistent or Lazy
Lazy for eventual updates/bulk ingestion
Included and excluded paths
Per path
Individual path or recursive includes (? And *)
Indexing Type
Support Hash and Range
Hash for equality, range for range queries
Indexing Precision
Supports 3 – 7 per path
Tradeoff storage, query RUs and write RUs
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

41. Indexing Paths Path Description/use case /
10/12/2018
Indexing Paths
Path
Description/use case /
Default path for collection. Recursive and applies to whole document tree.
/"prop"/?
Serve queries like the following (with Hash or Range types respectively):
SELECT * FROM collection c WHERE c.prop = "value"
SELCT * FROM collection c WHERE c.prop > 5
/"prop"/*
All paths under the specified label.
/"prop"/"subprop"/
Used during query execution to prune documents that do not have the specified path.
/"prop"/"subprop"/?
Serve queries (with Hash or Range types respectively):
SELECT * FROM collection c WHERE c.prop.subprop = "value"
SELECT * FROM collection c WHERE c.prop.subprop > 5
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

42. Tunable Consistency

43. Tunable Consistency Levels
10/12/ :23 PM
Tunable Consistency Levels
Brewer’s CAP Theorem
Consistency
In theoretical computer science, the CAP theorem, also known as Brewer's theorem, states that it is impossible for a distributed computer system to simultaneously provide all three of the following guarantees:[1][2][3]
Consistency (all nodes see the same data at the same time)
Availability (a guarantee that every request receives a response about whether it succeeded or failed)
Partition tolerance (the system continues to operate despite arbitrary message loss or failure of part of the system)
Availability
Partition Tolerance
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

44. Tunable Consistency Levels
10/12/ :23 PM
Tunable Consistency Levels
Brewer’s CAP Theorem
DocumentDB offers 4 consistency levels
Consistency
Strong: guarantees that a write is only visible after it is committed durably by the majority quorum of replicas and reads are always acknowledged by the majority read quorum
Session: Provides predictable read consistency for a session while offering the low latency writes. Reads are also low latency as it read will be served by a single replica
Bounded Staleness: Bounded Staleness consistency guarantees the total order of propagation of writes but reads may lag writes by N seconds or operations (configurable)
Eventual: Eventual consistency is the weakest form of consistency wherein a client may get the values which are older than the ones it had seen before, over time
Image licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license:
Availability
Partition Tolerance
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

45. Transaction Integrated JavaScript

46. Transactional Integrated JavaScript
10/12/2018
Transactional Integrated JavaScript
Stored Procedures and Triggers
Familiar programming model constructs for executing application logic
Registered as named, URI addressable, durable resources
Scoped to a DocumentDB collection
JavaScript as a procedural language to express business logic
Language integration
JavaScript throw statement results into aborting the transaction
Execution
JavaScript runtime is hosted on each replica
Pre-compiled on registration
The entire procedure is wrapped in an implicit database transaction
Fully resource governed and sandboxed execution
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

47. Transactional Integrated JavaScript
10/12/2018
Transactional Integrated JavaScript
Stored Procedures and Triggers
Familiar programming model constructs for executing application logic
Registered as named, URI addressable, durable resources
Scoped to a DocumentDB collection
JavaScript as a procedural language to express business logic
Language integration
JavaScript throw statement results into aborting the transaction
Execution
JavaScript runtime is hosted on each replica
Pre-compiled on registration
The entire procedure is wrapped in an implicit database transaction
Fully resource governed and sandboxed execution
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

48. Transactional Integrated JavaScript
10/12/2018
Transactional Integrated JavaScript
client.executeStoredProcedureAsync
("procs/1234", ["MasterChief", "SolidSnake“])  .then(function (response) {     console.log(“success!");   }, function (err) {    console.log("Failed to swap!", error);  } );
function(playerId1, playerId2) {     var playersToSwap = __.filter (function (document) {         return (document.id == playerId1 || document.id == playerId2);     });     var player1 = playersToSwap[0], player2 = playersToSwap[1];       var player1ItemTemp = player1.item;     player1.item = player2.item;     player2.item = player1ItemTemp;
    __.replaceDocument(player1)         .then(function() { return __.replaceDocument(player2); })         .fail(function(error){ throw 'Unable to update players, abort'; }); }
Stored Procedures and Triggers
Familiar programming model constructs for executing application logic
Registered as named, URI addressable, durable resources
Scoped to a DocumentDB collection
JavaScript as a procedural language to express business logic
Language integration
JavaScript throw statement results into aborting the transaction
Execution
JavaScript runtime is hosted on each replica
Pre-compiled on registration
The entire procedure is wrapped in an implicit database transaction
Fully resource governed and sandboxed execution
Client
Database
© 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

49. Quick Tips

50. Quick Tips De-normalize where appropriate (see other session)
10/12/2018
Quick Tips
De-normalize where appropriate (see other session)
Collections != Tables
General
Use a single instance of the DocumentDB client instance
Handle server throttles/request rate too large (HTTP Status Code 429)
Use point-reads for lookup by id
Pre-aggregate where possible
Use TTL for expiring data (new)
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

51. Quick Tips Networking .NET SDK usage Non-JSON Data Types
10/12/2018
Quick Tips
Networking
Use direct connectivity and TCP for performance
Collocate clients in same Azure region
Debug with HTTPS/Fiddler
.NET SDK usage
Call OpenAsync() to prevent first call latency
Debug: ToString() for LINQ to SQL query translation
Non-JSON Data Types
DateTimes – use epochs or split up in to year, month, day, etc.
Geo-Spatial Indexing via GeoJSON
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

52. Thank You Get started with Azure DocumentDB
Query Demo: {
"name": "Andrew Liu",
" ":
"twitter": }