1. Powering Your Application with XAP
(Using payment processing as an example)
โDonโt call me cacheโ
Dotan Horovits
Director, Customer Services
Senior solutions architect
2. About me
Dotan Horovits
Director, Customer Services
Senior system and solutions architect
technology evangelist with interest in many things
โข distributed high-performance systems
โข big data solutions
โข cloud technologies
โข And of course: agile software methodologies
โข And much moreโฆ
dotan@gigaspaces.com
horovits.wordpress.com
@horovits
3. Short Intro to Caching Evolution
Cache
In process caching
of Key->Value data
structure
Distribute Cache
Partitioned cache
nodes
IMDG
Partitioned system
of record
In Memory
Application Platform
Collocated IMDG and
Processing
Cache
Cache is good for repetitive data reads
But it is limited in capacity
It also doesnโt handle write-heavy scenarios
4. Short Intro to Caching Evolution
Cache
In process caching
of Key->Value data
structure
Distribute Cache
Partitioned cache
nodes
IMDG
Partitioned system
of record
In Memory
Application Platform
Collocated IMDG and
Processing
Distribute Cache
Allows you to distribute your cache over numerous machines so you get
Increased Capacity
But it doesnโt support write heavy scenarios
Itโs also Limited to query by Id
What about the rest of your app? - Business logic & messaging??
5. Short Intro to Caching Evolution
Cache
In process caching
of Key->Value data
structure
Distribute Cache
Partitioned cache
nodes
IMDG
Partitioned system
of record
In Memory
Application Platform
Collocated IMDG and
Processing
IMDG solves these problems!
You get increased capacity
IMDG is also a System of Record with:
Query APIs
Optimized data access
Data integrity
It solves your write scalability problem
.
6. Short Intro to Caching Evolution
Cache
In process caching
of Key->Value data
structure
Distribute Cache
Partitioned cache
nodes
IMDG
Partitioned system
of record
In Memory
Application Platform
Collocated IMDG and
Processing
In Memory Application Platform
XAP for end to end scaling
Its an IMDG that hosts your Business
logic & has messaging services!
It Provides Parallel processing of data
You get linear scalability
You get high availability
How does XAP work?
7. Hereโs What a Payment Authorization Process Looks Like
Payment
Authorization
Request
Basic Validation User Profile Check
Merchant
Profile Check
Payment
Authorization
Approved
8. Write the Payment Object to XAP
Cash Register
Application Payment
User payment Cluster
@SpaceId()
public Long getId() {
return id;
}
@SpaceRouting
public Long getUserId() {
return userId;
}
}
@SpaceIndex
public Long getCardId() {
return cardId;
}
}
The primary key of this object in the grid
The grid will use this attribute to route
the object to a particular partition
Payment object
A secondary index for query optimization
9. Write the Payment Object to XAP
Cash Register
Application
User payment Cluster
Payment
@SpaceId
public Long getId() {
return id;
}
@SpaceRouting
public Long getUserId() {
return userId;
}
@SpaceIndex
public Long getCardId() {
return cardId;
}
The primary key of this object in the grid
The grid will use this attribute to route
the object to a particular partition
Payment object
A Secondary index for query optimization
10. Write the Payment Object to XAP
Cash Register
Application
User payment Cluster
Payment
Index
@SpaceId
public Long getId() {
return id;
}
@SpaceRouting
public Long getUserId() {
return userId;
}
@SpaceIndex
public Long getCardId() {
return cardId;
}
The primary key of this object in the grid
The grid will use this attribute to route
the object to a particular partition
Payment object
A Secondary index for query optimization
26. Vendor Validation
Payment Cluster Vendor Cluster
Callback Task
public void validateVendor(VendorPaymentMsg vendorPaymentMsg,
GigaSpace gigaSpace) {
AsyncFuture<Boolean> future = vendorGigaSpace.execute(new
VendorValidationTask(vendorPaymentMsg),
vendorPaymentMsg.getMerchant());
IdQuery<PaymentAuthorization> idQuery = new
IdQuery<PaymentAuthorization>(PaymentAuthorization.class,
vendorPaymentMsg.getPaymentId());
if (future.get()) gigaSpace.change(idQuery, new
ChangeSet().set("vendorCheck", true));
else gigaSpace.change(idQuery, new ChangeSet().set("vendorCheck", false));
}
Class PaymentAuthorization {
Status status;
Boolean userCheck;
Boolean vendorCheck;
}
27. Yey! Payment Has Been Authorized
@EventTemplate
public PaymentAuthorization getNewPayment() {
return new PaymentAuthorization(null, true, true, PaymentAuthorizationStatus.New);
}
Queue
Payment
Authorization
28. Yey! Payment Has Been Authorized
@SpaceDataEvent
public void completePaymentValidation(PaymentAuthorization paymentAuthorization) {
Payment payment = gigaSpace.readById(Payment.class,paymentAuthorization.getPaymentId());
payment.setPaymentStatus(Payment.PaymentStatus.Closed);
gigaSpace.write(payment);
paymentAuthorization.setPaymentAuthorizationStatus(
PaymentAuthorization.PaymentAuthorizationStatus.Done);
}
Queue
Payment
Authorization
29. Whatโs next?
โข Multi-site deployment?
โข Persistence to DB for auditing?
โข Using Scala? .NET? scripts?
โข Schema evolution?
โข Running our clusters on the cloud?
โข Etc.
30. Q&A
Source code (Java) publically available on GitHub:
https://github.com/Gigaspaces/fraud-detection-example
