Putting Oracle Database 11g to Work for JavaKuassi MensahGroup Product Manager, Java Platform Groupdb360.blogspot.com

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Agenda

• Putting Oracle JDBC 11g Drivers to Work • Putting Universal Connection Pool to Work• Putting the Java Runtime in Oracle Database 11g to

Work

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Oracle JDBC 11g

All Java Roads Lead to JDBC

“Transparent” Persistence “Do It YourSelf” Persistence

Object Relational Mapping

POJO

SQLJ

JDBC

EJB

What Oracle JDBC 11g Brings to Java

• JavaStandards: JDBC 4.0, RowSet APIs• Built-in Advanced Security

• Encryption: AES, 3DES• Checksumming: SHA1• Strong Authentication: Kerberos, Radius,SSL

• New Performance Capabilities• Prefetch in First Roundtrip • Faster Native AQ protocol• Query Change Notification• Client Query Result Cache

• Connection Services • Fast Connection Failover (RAC)• Runtime Connection Load Balancing (RAC)• New Universal Connection Pool (RAC, Data Guard, XA)

Client Query Result Cache

• Database Server Configuration (init.ora)client_result_cache_size=200M

client_result_cache_lag=5000

• Client Configuration (sqlnet.ora) OCI_QUERY_CACHE_SIZE=200M

OCI_QUERY_CACHE_MAXROWS=20

• Hints for Caching the Result Setselect /*+ result_cache */ * from employees

• Alternatively without code change alter table emp result_cache (mode force);

• The Cache is proactively invalidated upon changes to the Result Set on the server side

• Available with OCI, PHP, Ruby, ODP.Net, JDBC-OCI, ODBC

Application Server

Database

Fast Connection Fail-Over –What The Application Sees

Failed Database Connections New Database Connections

Fast Connection Failover

Inst x Inst y

Fast Connection Fail-Over –Connection Retry

try {conn = getConnection();// do some work

} catch (SQLException e) {handleSQLException(e)

}...handleSQLException (SQLException e){

if (OracleConnectionCacheManager.isFatalConnectionError(e))

ConnRetry = true; // Fatal Connection error detected,

}

Runtime Connection Load Balancing –How Does It Work?

ApplicationApplication

RAC Database

Instance1

Instance2

Instance3

poolI’m busy

I’m very busy

I’m idle

30% Work

60% Work

10% Work

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Universal Connection Pool

Oracle

Connection Labeling

JMX-based Management

Statistics

High Availability

Load Balancing

Work Load ManagementWeb, XA, & Connection Affinity

Advanced Timeouts

Diagnostics and Tracing DataGuard Support

JDBC Adapter

Universal

Connection

Pool

Driver / Resource

Pool Users

Database

ERP ADFJava EE TopLink POJOBPEL

LDAP JDBC JCA

SQL Server CICS

JCA Adapter JNDI Adapter LDAP

© 2006 Oracle Corporation – Proprietary and Confidential

Feature Matrix 1/3

Rich set of pool Statistics

Enhanced logging and Diagnostics

Improved Pool Timeouts

JDBC Standard pool properties

JMX-based Pool Management

Dynamic Pool Reconfiguration

Firewall timeout support

Multiple Pools per JVM

Java EE ComponentsStandalone Applications (JDBC, Tomcat, etc)

UCP Feature

Connection Labeling

Connection Harvesting

Application Callbacks

Oracle Data Guard Support

RAC Runtime Connection Load Balancing

RAC UP-event Load Balancing of Connections

RAC Fast Connection Fail-over with Abort Support

Java EE ComponentsStandalone Applications (JDBC, Tomcat, etc)

UCP Feature

Feature Matrix 2/3

Pooling of Proxy Connections

End-to-End Workload Management Metrics

XA Connection Affinity to RAC Instance

Web Session Based Affinity to RAC instance

Refresh, Recycle, Purge, Start, Stop etc. Support

Pooling of XA Connections

Java EE ComponentsStandalone Applications (JDBC, Tomcat, etc)

UCP Feature

Feature Matrix 3/3

Conversational, Web Session, and XA Affinity

Conversational Affinity• Determines if a Connection Request is Serviced by the same

Pool• The first connection request uses RCLB to select a connection. • Subsequent requests enforce Affinity

• Pool resorts to RCLB whenever a desired connection is not found

• Affinity is only a hint • Each RAC instance evaluates performance metrics and sends

affinity hints per Service to UCP

Web Session Affinity• Built into OC4J Web Container – Based on HTTP Session • Determined by either the HTTP Session life cycle or RAC hint• UCP enforces Affinity across AS / OC4J instances

XA Affinity• Enables XA and RAC to work together with optimal

performance – Eliminates current single DTP service limitation for XA/RAC

• XA affinity is the ability to automatically localize a global transaction to a single RAC instance

• XA Affinity scope is the life of a global transaction• first connection request for a global transaction uses RCLB• subsequent requests uses affinity and are routed to the same

RAC instance when XA first started

Conversational, Web Session, and XA Affinity

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Java Runtime in the Database

Java Runtime in the Database

• Java in Mid-Tier versus Java in the Database• Java in the Database: Pros, Cons, What For• Java Standards: Java SE 5, RowSet, JMX• Performance: JIT• Ease of Use & Manageability• Database as Web Services Consumer

JavaJDBCCalls

SQL

Java in Mid-Tier vs Java in the Database

Java

JDBCCalls

Java SE/EE

SQL

Java in the Database

Typically 10+ times Faster!

Any Language

Stored ProcedureCall

Java in the Database

Pros• Business Logic Runs Directly in the Database and

Process Data In Situ, • Eliminates Network Roundtrip• Code Shipping in Cheap• Less Moving Parts• Perfect for Data-Intensive Problems• Good for Data-and-Compute intensiveCons• Databases can scale up to 100s nodes, only!

Java in the Database: What For

• Trigger-based Notification System using RMI

• Secure Credit-Card Processing using JSSE

• Custom Alert applications that monitor business data

• Sending emails with attachment from within the database

• Produce PDF files from Result Set

• Execute external OS commands and external procedures

• Implement Md5 CRC• Publish Repository Content to

Portal• Portable Logistic Applications

• Implement Parsers for various File Formats (txt, zip, xml, binary)

• Implement Image Transformation and Format Conversion (GIF, PNG, JPEG, etc)

• Implement database-resident Content Management System

• HTTP Call-Out• JDBC Call-Out• RMI Call-Out to SAP• Web Services Call-Out• Messaging across Tiers• Database Resident Lucene*• RESTful Database Web Services*

* http://marceloochoa.blogspot.com/

JIT

• Faster and Transparent Native Compilation• 10X Speed up out of the box

• No dependency on C compiler• Automatic Compilation (enabled out of the box)• Compiles also dynamically generated Java code• Uses a Feedback Mechanism for Detecting Hot

Spots• Persist Compiled Java in the database• Bottom Line: Faster Java Execution

Database as Web Services Consumer

Java WSStack

Oracle Database

JavaWS Proxy

TableFunction

SQL, PL/SQL

PL/SQLWrapper

JavaDynamicInterface

UTL_DBWS

Web Service

SOAP Request

Resources …

• Oracle JDBC and UCPhttp://www.oracle.com/technology/tech/java/sqlj_jdbc/

• Java Runtime in the Databasehttp://www.oracle.com/technology/tech/java/jsp/index.html

• Oracle Database Programming using Java and Web Services by Kuassi Mensah

http://db360.blogspot.com/2006/08/oracle-database-programming-using-java_01.html