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Oracle Coherence Product Overview

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Title: Oracle Coherence Product Overview


1
Oracle Coherence Product Overview
Raanan Dagan / Coherence Team
2
What is Oracle Coherence?
  • Distributed Memory Data Management Solution
  • (aka Data Grid)

3
How Can a Data Grid Help?
  • Provides a reliable data tier with a single,
    consistent view of data
  • Enables dynamic data capacity including fault
    tolerance and load balancing
  • Ensures that data capacity scales with processing
    capacity

Web Services
Enterprise Applications
Real Time Clients
Application Tier
Data Services
Coherence Data Grid
Data Sources
Databases
Web Services
Mainframes
4
Oracle Grid Computing Enterprise Ready
Enterprise Application Grid Extreme Transaction
Processing XTP
  • Common Shared Application Infrastructure
    (Application Virtualization)
  • Data Virtualization (Data as a Service)
  • Middle tier scale out for Grid Based OLTP
  • Massive Persistent scale out with Oracle RAC

Application Tier
Oracle Coherence
Oracle RAC
5
Requirements of Enterprise Data Grid
Reliable
Universal
Scalable
Data
  • Dynamically Expandable
  • No data loss at any volume
  • No interruption of service
  • Leverage Commodity Hardware
  • Cost Effective
  • Single view of data
  • Single management view
  • Simple programming model
  • Any Application
  • Any Data Source
  • Built for continuous operation
  • Data Fault Tolerance
  • Self-Diagnosis and Healing
  • Once and Only Once Processing
  • Data Caching
  • Analytics
  • Transaction Processing
  • Event Processing

6
How Does Coherence Data Grid Work?
  • Cluster of nodes holding of primary data
    locally
  • Back-up of primary data is distributed across all
    other nodes
  • Logical view of all data from any node
  • All nodes verify health of each other
  • In the event a node is unhealthy, other nodes
    diagnose state

X
  • Unhealthy node isolated from cluster
  • Remaining nodes redistribute primary and back-up
    responsibilities to healthy nodes

7
Customers Coherence?
Caching Applications request data from the Data
Grid rather than backend data sources Analytics A
pplications ask the Data Grid questions from
simple queries to advanced scenario
modeling Transactions Data Grid acts as a
transactional System of Record, hosting data and
business logic Events Automated processing based
on event
8

Demo
9

Technical
10
Topology 1 - Replicated Cache
11
Topology 1 - Replicated Cache
12
Topology 2 - Partitioned Cache
13
Topology 2 - Guaranteed Cluster Resiliency
14
Topology 2 - Partitioned Failover
15
Topology 2a Cache Client/Cache Server
16
Topology 3 - Near Cache
17
Use Case CoherenceWeb
  • CoherenceWeb is an HTTP session-management
    module (built-in feature of Coherence)
  • Supports a wide range of application servers.
  • Does not require any changes to the application.
  • CoherenceWeb uses the NearCache technology to
    provide fully fault-tolerant caching, with almost
    unlimited scalability (to several hundred cluster
    nodes without issue).
  • Heterogeneous applications running on mixed
    hardware/OS/application servers can share common
    user session data. This dramatically simplifies
    supporting Single-Sign-On across applications.

18
CoherenceWeb Session State Management
Web Application
Application State
Coherence Web
Java EE or Servlet Container
Web Application
Application State
Coherence Web
Load Balanced
Java EE or Servlet Container
Clustered Oracle, WebLogic, WebSphere, JBoss,
Tomcat
In Memory Coherence Data Grid for Session State
19
Read-Through Caching
20
Write-Through Caching
21
Write-Behind Caching
22
Features
Caching Applications request data from the Data
Grid rather than backend data sources Analytics A
pplications ask the Data Grid questions from
simple queries to advanced scenario
modeling Transactions Data Grid acts as a
transactional System of Record, hosting data and
business logic Events Automated processing based
on event
23
Transaction
  • Implicit Queuing of operations
  • Virtual queue thread per entry
  • Explicit Pessimistic locking
  • Grid-Wide Mutex
  • Transactions Unit of work management
  • Both optimistic and pessimistic transactions
  • Isolation levels from read-committed through
    serializable
  • Integrated with JTA

24
Events
  • Universal All data sets provide events,
    regardless of the topology.
  • Distributed The events are always delivered
    efficiently to the interested listeners.
  • Regardless of originating node
  • Flexible
  • Listen to entire data sets, specific identities,
    and even to queries!
  • Provides before and after state
  • Both sync and async event models

25
Query
  • Parallel Query A query is performed in parallel
    across the Data Grid, using indexing and a
    iterative Cost Based Optimizer.
  • Customizable predicates
  • Custom indexes
  • Custom aggregators
  • Continuous Query Combines a query with events to
    provide a local materialized view.
  • Result is up-to-date in real-time
  • Like the Near Topology, but it always contains
    the desired data

26
InvocableMap Server Side Processing
27
CoherenceExtend
  • Supports fat client real-time applications such
    as trading desks, as well as other server tiers
  • WAN support
  • Connection to the cluster is over TCP
  • Continuous query can be used to maintain
    real-time query results on the desktop!

28

Network
29
Tangosol Cluster Management Protocol (TCMP)
  • Coherences own protocol between cluster members
  • TCMP utilizes UDP
  • Massively scalable
  • Asynchronous
  • Point-to-point
  • UDP Multicast is used for
  • New JVMs to join the cluster automatically
  • Maintaining cluster membership
  • Multicast is not required it may be disabled
    with Well Known Addresses (WKA)
  • UDP Unicast is used for most communication
  • Very fast and scalable
  • TCMP guarantees packet order and delivery
  • TCP/IP connections do not need to be maintained

30
Clustering is about Consensus!
  • Oracle Coherence Clustering is very different!
  • Goal
  • Maintain Cluster Membership Consensus all times
  • Do it as fast as physically possible
  • Do it without a single point of failure or
    registry of members
  • Ensure all members have the same responsibility
    and work together to maintain consensus
  • Ensure that no voting occurs to determine
    membership

31
Clustering is about Consensus!
  • Why If all members are always known
  • We can partition / load balance Data Services
  • We dont need to hold TCP/IP connections open
    (resource intensive)
  • Any member can talk directly with any other
    member (peer-to-peer)
  • The cluster can dynamically (while running) scale
    to any size

32
Benchmarking Coherence
  • Aggregation (DoubleSum) of Trade objects
  • Scale out testing on Dual 2.3GHz PowerPC G5
    Xserve
  • Use of on index for direct access
  • if you need to achieve 1,837,932 trade
    aggregations per second all that is required is
    to start 16 more cache servers across four more
    machines.

33
Coherence Management and Monitoring
  • Management Features
  • Coherence provides standard JMX APIs
  • Cluster-wide JMX Ability to monitor and manage
    the entire cluster from any node
  • Customizable web-based console
  • Does not require an mBean server or any JMX
    libraries on managed nodes
  • Support custom application mBeans
  • Support for CoherenceWeb

34

Summary
35
Technical Resources
  • White Papers Presentations http//www.oracle.com
    /technology/products/coherence/index.html
  • Technical Documentation
  • http//wiki.tangosol.com
  • Support Forums, Technical FAQs
  • http//forums.oracle.com/forums/forum.jspa?forumI
    D480

36
Summary
  • Coherence is the leading product set for high
    performance distributed in-memory data services
  • Significant customer traction
  • Established technology platform
  • Coherence delivers data performance, scalability
    and reliability
  • Data Grids are a key enabler for SOA, EDA,
    virtualization

Defining Moment
Need for Reliability
EDA
SOA
Time
37
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