InfoSphere Change Data Capture For Oracle Databases,Version 6.5 - IBM

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IBM InfoSphere Change Data Capture Version 6.5.2 InfoSphere Change Data Capture for Oracle databases, Version 6.5.2 End-User Documentation

IBM InfoSphere Change Data Capture Version 6.5.2 InfoSphere Change Data Capture for Oracle databases, Version 6.5.2 End-User Documentation

Note Before using this information and the product it supports, read the information in “Notices” on page 119. First edition, third revision This edition applies to version 6, release 5, modification 2 of IBM InfoSphere Change Data Capture (product number 5724-U70) and to all subsequent releases and modifications until otherwise indicated in new editions. Copyright IBM Corporation 2008, 2011. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.

Contents About InfoSphere CDC and InfoSphere CDC Management Console . . . . . . 1 Capturing change data with single scrape . . . . 3 What’s new . . . . . . . . . . . . . 5 System requirements . . . . . . . . . 7 Supported operating systems and Supported databases. . . . . Disk space requirements . . . RAM requirements . . . . . Tablespace requirements . . . Port requirements . . . . . processors . . . 7 . . . . . . . 8 . . . . . . . 9 . . . . . . . 10 . . . . . . . 11 . . . . . . . 11 Before you install . . . . . . . . . . 13 Required database, user accounts, and schemas . . Assessing disk space and memory requirements . . Allocating sufficient disk space for database log files Sizing considerations for the staging store . . . . Enabling supplemental logging . . . . . . . . Enabling InfoSphere CDC to use a bulk load refresh Setting the database instance to ARCHIVELOG mode . . . . . . . . . . . . . . . . InfoSphere CDC and Automatic Storage Management (ASM) . . . . . . . . . . . Starting the Oracle listener . . . . . . . . . Setting up a remote connection . . . . . . . . To setup a remote connection . . . . . . . Understanding Index Organized Tables (IOT) support. . . . . . . . . . . . . . . . Replicating DDL changes . . . . . . . . . . Calculating database connections required by InfoSphere CDC . . . . . . . . . . . . . Clustered tables . . . . . . . . . . . . . Interval partitions . . . . . . . . . . . . Replicating XA transactions . . . . . . . . . 13 14 15 16 17 18 19 19 19 19 20 20 21 21 23 23 23 Understanding InfoSphere CDC in an Oracle Real Application Clusters (RAC) environment . . . . . . . . . . . . 25 Configuring InfoSphere CDC in a RAC environment Configuring tnsnames.ora for InfoSphere CDC in a RAC environment . . . . . . . . . . . . Oracle ASM considerations . . . . . . . . . Creating an InfoSphere CDC failover script for a RAC environment . . . . . . . . . . . . NFS lockd utility considerations . . . . . . . 26 28 28 29 30 Configuring InfoSphere CDC for OS (operating system) clustering (UNIX and Linux) . . . . . . . . . . . . . 31 Performing a forced or manual failover of InfoSphere CDC . . . . . . . . . . Copyright IBM Corp. 2008, 2011 . . . 32 Preparing for a failover of InfoSphere CDC . . . . 32 Installing InfoSphere CDC . . . . . . 35 To install InfoSphere CDC (UNIX and Linux) . . . To override the locale for the installation (UNIX and Linux) . . . . . . . . . . . . . . . . Installing InfoSphere CDC using a silent installation To perform a silent installation of InfoSphere CDC (UNIX and Linux) . . . . . . . . . 35 36 36 36 Upgrading Transformation Server for Oracle to InfoSphere CDC for Oracle databases . . . . . . . . . . . . . 39 To upgrade from Transformation Server for Oracle to InfoSphere CDC for Oracle databases . . . . . 39 Configuring InfoSphere CDC (UNIX and Linux) . . . . . . . . . . . . . . . 41 Configuring InfoSphere CDC instances (UNIX and Linux) . . . . . . . . . . . . . . . To add a new instance of InfoSphere CDC for Oracle databases (UNIX and Linux) . . . . To edit an instance of InfoSphere CDC (UNIX and Linux) . . . . . . . . . . . . To delete an instance of InfoSphere CDC (UNIX and Linux) . . . . . . . . . . . . . 41 . 41 . 43 . 44 Configuring InfoSphere CDC for Oracle databases for log shipping . . . . . . 45 To configure InfoSphere CDC for log shipping. To ship logs using custom scripts . . . . . To ship logs using Oracle's Data Guard . . . . . . . 45 . 46 . 46 After you install and configure . . . . 49 Granting required privileges to Oracle users using SQL scripts in /samples directory . . . . . . Privileges for Oracle users . . . . . . . Starting InfoSphere CDC . . . . . . . . . To start InfoSphere CDC (UNIX and Linux) . Stopping InfoSphere CDC . . . . . . . . To stop InfoSphere CDC (UNIX and Linux). . Maintaining active TCP connections in a network environment . . . . . . . . . . . . . To maintain active TCP connections . . . . Enabling SQL statements in Management Console To enable SQL statements in Management Console. . . . . . . . . . . . . . . . . . . . 49 49 53 53 53 53 . 54 . 54 55 . 55 Metadata tables . . . . . . . . . . . 57 Data types supported by InfoSphere CDC . . . . . . . . . . . . . . . . 59 iii

Commands for InfoSphere CDC . . . . 61 Using the InfoSphere CDC commands . . . . . Setting the TSINSTANCE environment variable . . Continuous Capture commands . . . . . . . dmdisablecontinuouscapture - Disable Continuous Capture . . . . . . . . . . dmenablecontinuouscapture - Enable Continuous Capture . . . . . . . . . . . . . . Controlling replication commands . . . . . . . dmendreplication - End replication . . . . . dmrefresh - Refresh subscription . . . . . . dmstartmirror - Start mirroring . . . . . . . Database transaction log commands . . . . . . dmarchivelogavailable - Mark archive log as available . . . . . . . . . . . . . . dmarchivelogremoved - Mark archive log as removed . . . . . . . . . . . . . . dmdecodebookmark - Display verbose information bookmark . . . . . . . . . . dmsetbookmark - Set bookmark . . . . . . dmshowbookmark - Display bookmark information . . . . . . . . . . . . . dmshowlogdependency - Show Log Dependency Supplemental logging commands . . . . . . . dmshowsupplementalloggingdependency - Show supplemental logging dependency. . . . . . dmreducesupplementalloggingdependency Reduce supplemental logging dependency . . . Single scrape and staging store commands . . . . dmclearstagingstore - Remove cached operations from the staging store . . . . . . . . . . dmgetstagingstorestatus - Retrieve Staging Store status . . . . . . . . . . . . . . . Exporting and importing configuration commands dmexportconfiguration - Export InfoSphere CDC Configuration . . . . . . . . . . . . dmimportconfiguration - Import InfoSphere CDC Configuration . . . . . . . . . . . . Managing tables for replication commands . . . . dmdescribe - Describe source tables . . . . . dmflagforrefresh - Flag for Refresh . . . . . dmmarktablecapturepoint - Mark a table capture point on a source table . . . . . . . . . dmpark - Park table . . . . . . . . . . dmreaddtable - Update source table definition. . dmreassigntable - Update target table definition iv 61 62 62 63 63 63 64 67 68 71 71 72 73 74 75 78 80 80 81 81 81 82 82 82 83 84 84 85 85 87 87 88 InfoSphere Change Data Capture: End-User Documentation dmsetreplicationmethod - Set replication method 89 Monitoring replication commands . . . . . . . 90 dmclearevents - Clear events . . . . . . . 90 dmgetsubscriptionstatus - Get subscription status 91 dmshowevents - Display InfoSphere CDC events 92 Other commands . . . . . . . . . . . . 94 dmbackupmd - Backup Metadata . . . . . . 94 dmconfigurets - Configure InfoSphere CDC . . 95 dmmdcommander . . . . . . . . . . . 95 dmmdconsole . . . . . . . . . . . . 95 dmset - Set InfoSphere CDC system parameter 95 dmshowversion - Show InfoSphere CDC version 96 dmshutdown - Shut down InfoSphere CDC . . 96 dmsupportinfo - Collect IBM Support information . . . . . . . . . . . . . 99 dmterminate - Terminate InfoSphere CDC processes . . . . . . . . . . . . . . 100 dmts32 - Start InfoSphere CDC . . . . . . 100 dmts64 - Start InfoSphere CDC . . . . . . 101 dmverifycommunications . . . . . . . . 101 User exits for InfoSphere CDC . . . . 103 Stored procedure user exits for table and row level operations . . . . . . . . . . . . . . Defining a stored procedure user exit . . . . Stored procedure user exit database connections Retrieving data with a stored procedure user exit . . . . . . . . . . . . . . . . Example of a stored procedure user exit . . . Sample Java class user exits for InfoSphere CDC To compile the sample Java class user exits (UNIX and Linux) . . . . . . . . . . . InfoSphere CDC API reference – Javadocs . . . . 103 103 104 104 110 111 111 112 Conflict resolution audit table . . . . 113 Structure of the conflict Row image format. . Truncated images . . Unaudited data types. resolution audit table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 115 115 115 Troubleshooting and contacting IBM Support . . . . . . . . . . . . . . 117 Notices . . . . . . . . . . . . . . 119 Trademarks . . . . . . . . . . . . . . 121

About InfoSphere CDC and InfoSphere CDC Management Console IBM InfoSphere Change Data Capture (InfoSphere CDC) is a replication solution that captures database changes as they happen and delivers them to target databases, message queues, or an ETL solution such as InfoSphere DataStage based on table mappings configured in the InfoSphere CDC Management Console GUI application. InfoSphere CDC provides low impact capture and fast delivery of data changes for key information management initiatives including dynamic data warehousing, master data management, application consolidations or migrations, operational BI, and enabling SOA projects. InfoSphere CDC also helps reduce processing overheads and network traffic by only sending the data that has changed. Replication can be carried out continuously or periodically. When data is transferred from a source server, it can be remapped or transformed in the target environment. The following diagram illustrates the key components of InfoSphere CDC. The key components of the InfoSphere CDC architecture are described below: v Access Server—Controls all of the non-command line access to the replication environment. When you log in to Management Console, you are connecting to Access Server. Access Server can be closed on the client workstation without affecting active data replication activities between source and target servers. v Admin API—Operates as an optional Java-based programming interface that you can use to script operational configurations or interactions. v Apply agent—Acts as the agent on the target that processes changes as sent by the source. v Command line interface—Allows you to administer datastores and user accounts, as well as to perform administration scripting, independent of Management Console. Copyright IBM Corp. 2008, 2011 1

v Communication Layer (TCP/IP)—Acts as the dedicated network connection between the Source and the Target. v Source and Target Datastore—Represents the data files and InfoSphere CDC instances required for data replication. Each datastore represents a database to which you want to connect and acts as a container for your tables. Tables made available for replication are contained in a datastore. v Management Console—Allows you to configure, monitor and manage replication on various servers, specify replication parameters, and initiate refresh and mirroring operations from a client workstation. Management Console also allows you to monitor replication operations, latency, event messages, and other statistics supported by the source or target datastore. The monitor in Management Console is intended for time-critical working environments that require continuous analysis of data movement. After you have set up replication, Management Console can be closed on the client workstation without affecting active data replication activities between source and target servers. v Metadata—Represents the information about the relevant tables, mappings, subscriptions, notifications, events, and other particulars of a data replication instance that you set up. v Mirror—Performs the replication of changes to the target table or accumulation of source table changes used to replicate changes to the target table at a later time. If you have implemented bidirectional replication in your environment, mirroring can occur to and from both the source and target tables. v Refresh—Performs the initial synchronization of the tables from the source database to the target. This is read by the Refresh reader. v Replication Engine—Serves to send and receive data. The process that sends replicated data is the Source Capture Engine and the process that receives replicated data is the Target Engine. An InfoSphere CDC instance can operate as a source capture engine and a target engine simultaneously. v Single Scrape—Acts as a source-only log reader and a log parser component. It checks and analyzes the source database logs for all of the subscriptions on the selected datastore. v Source transformation engine—Processes row filtering, critical columns, column filtering, encoding conversions, and other data to propagate to the target datastore engine. v Source database logs—Maintained by the source database for its own recovery purposes. The InfoSphere CDC log reader inspects these in the mirroring process, but filters out the tables that are not in scope for replication. v Target transformation engine—Processes data and value translations, encoding conversions, user exits, conflict detections, and other data on the target datastore engine. There are two types of target-only destinations for replication that are not databases: v JMS Messages—Acts as a JMS message destination (queue or topic) for row-level operations that are created as XML documents. v InfoSphere DataStage—Processes changes delivered from InfoSphere CDC that can be used by InfoSphere DataStage jobs. For more information on how to install Management Console and Access Server, see Access Server and Management Console - Installation Guide. For information on how to install your source and target replication engines, see the end-user documentation for your replication engine platform. 2 InfoSphere Change Data Capture: End-User Documentation

In this section, you will learn: “Capturing change data with single scrape” Capturing change data with single scrape Single scrape is a source-only component of InfoSphere CDC that allows multiple subscriptions in an instance to share the same log reader and log parser thread. With single scrape, InfoSphere CDC only reads and parses the source database transaction log once to capture changes for all tables being mirrored for the instance. Single scrape improves performance by reducing the footprint on your source system since it only requires a single log reader thread and a single log parser thread to service multiple subscriptions. This reduces disk I/O and decreases CPU utilization by InfoSphere CDC processes. Change data and the staging store After the InfoSphere CDC log reader captures the change data from the database logs and the data is parsed by the InfoSphere CDC log parser, change data is placed in the staging store. Each subscription retrieves the changes for mirroring tables from the staging store whenever possible. The data in scope for a given subscription is kept in the staging store until it is sent to the target database. After the data is sent to the target it is removed from the staging store. To improve performance when subscriptions are mirroring, InfoSphere CDC will keep the staging store data in memory whenever possible. Related concepts “Sizing considerations for the staging store” on page 16 “Assessing disk space and memory requirements” on page 14 “About InfoSphere CDC and InfoSphere CDC Management Console” on page 1 About InfoSphere CDC and InfoSphere CDC Management Console 3

4 InfoSphere Change Data Capture: End-User Documentation

What’s new A large number of features and enhancements have been added to InfoSphere CDC for Oracle databases version 6.5, version 6.5.1 and version 6.5.2. The following table lists the major feature changes: Item For more information, see: XA support “Replicating XA transactions” on page 23 Single scrape “Capturing change data with single scrape” on page 3 Staging store “Disk space requirements” on page 9 “Assessing disk space and memory requirements” on page 14 Replicating Data Definition Language (DDL) operations “Replicating DDL changes” on page 21 Indexed Organized Tables (IOT) support “Understanding Index Organized Tables (IOT) support” on page 20 New command “dmshowsupplementalloggingdependency - Show supplemental logging dependency” on page 80 New command “dmreducesupplementalloggingdependency - Reduce supplemental logging dependency” on page 81 Copyright IBM Corp. 2008, 2011 5

6 InfoSphere Change Data Capture: End-User Documentation

System requirements Before you install InfoSphere CDC, ensure that the system you choose meets the necessary operating system, hardware, software, communications, disk, and memory requirements. In this section, you will learn: “Supported operating systems and processors” “Supported databases” on page 8 “Disk space requirements” on page 9 “RAM requirements” on page 10 “Tablespace requirements” on page 11 “Port requirements” on page 11 Supported operating systems and processors Operating system and processor One of the following: v AIX , version 5.3.0.8 or later—POWER processor v AIX, version 6.1—POWER processor v AIX, version 7.1—POWER processor v HP-UX, 11i v3 (11.23)—Itanium processor (Not applicable for Oracle 11gR2) v HP-UX, 11i v3 (11.31)—Itanium processor (Not applicable for Oracle 11gR2) v HP-UX, 11i v2 (11.11)—PA-RISC processor (Not applicable for Oracle 11gR2) v HP-UX, 11i v3 (11.23)—PA-RISC processor (Not applicable for Oracle 11gR2) v Linux Red Hat version 4—x86/x64 processors (Not applicable for Oracle 11gR2) v Linux Red Hat version 5—x86/x64 processors (Not applicable for Oracle 11gR2) v Linux Red Hat version 5.4—x86/x64 processors (Not applicable for Oracle 10g or Oracle 11gR2) v Novell SUSE Linux (SLES) 10.0 Enterprise Server—x86/x64 processors v Novell SUSE Linux (SLES) 11.0 Enterprise Server—x86/x64 processors (Not applicable for Oracle 9i or Oracle 10g) v Linux Red Hat on System z version 5 (Not applicable for Oracle 9i) v Novell SUSE Linux (SLES) on System z version 10 (Not applicable for Oracle 9i) v Novell SUSE Linux (SLES) on System z version 11 (Not applicable for Oracle 9i) v Sun Solaris, version 2.9—SPARC processor v Sun Solaris, version 2.10—SPARC processor Note: If you are upgrading your operating system to a more recent version, you should also consider upgrading InfoSphere CDC to the latest version to ensure support for the upgraded operating system. Copyright IBM Corp. 2008, 2011 7

Related concepts “Supported databases” “Disk space requirements” on page 9 “RAM requirements” on page 10 “Tablespace requirements” on page 11 “Port requirements” on page 11 Supported databases Database Install Oracle Client software and one of the following versions of the Oracle database: v Oracle 9i (release 9.2.0.5 or later) v Oracle 10g (release 10.1.0.4 or later) v Oracle 11g (release 11gR1 and 11gR2) If you are configuring InfoSphere CDC for an Oracle RAC environment, the following versions of Oracle are supported: v Oracle 9i (release 9.2.0.5 or later) v Oracle 10g (release 10.2 or later) v Oracle 11g (release 11gR1 and 11gR2) Note: The following Oracle 11g features are not supported with InfoSphere CDC: v LOBs in IOTs v v v v v v LOBs in partitioned IOTs IGNORE ROW ON DUPKEY INDEX hint DML with error logging table DBMS PARALLEL EXECUTE (for RAC and non-RAC environments) Oracle XA in non-RAC Flashback table (with focus on replicating DML following its recovery) v v v v v v v Flashback table (with focus on DDL replication) ASM restricted mode Auto failover or failback for user SQL sessions Oracle RAC one node (that is, single-node RAC) Oracle XA in RAC Auto degree of parallelism (for RAC and non-RAC environments) Zero downtime patching v OCFS for Solaris v 4KB sector size drives v v v v Encrypted tablespaces Recovering database blocks Edition-based redefinition Flashback data archive for DDL (such as adding columns or truncating tables) Note: If you are upgrading your database to a more recent version, you should also consider upgrading InfoSphere CDC to the latest version to ensure support for the upgraded database. 8 InfoSphere Change Data Capture: End-User Documentation

Related concepts “Supported operating systems and processors” on page 7 “Disk space requirements” “RAM requirements” on page 10 “Tablespace requirements” on page 11 “Port requirements” on page 11 Disk space requirements Disk space InfoSphere CDC source system: v 100 GB—Default value for the Staging Store Disk Quota for each instance of InfoSphere CDC. Use the InfoSphere CDC configuration tool to configure disk space for this quota. v 5 GB—For installation files, data queues, and log files. v Global disk quota—Disk space is required on your source system for this quota which is used to store in-scope change data that has not been committed in your database. The amount of disk space required is determined by your replication environment and the workload of your source database. Use the mirror global disk quota gb system parameter to configure the amount of disk space used by this quota. InfoSphere CDC target system: v 1 GB—The minimum amount of disk space allowed for the Staging Store Disk Quota for each instance of InfoSphere CDC. The minimum value for this quota is sufficient for all instances created on your target system. Use the InfoSphere CDC configuration tool to configure the disk space for this quota. v 5 GB—For installation files, data queues, and log files. v Global disk quota—Disk space is required on your target system for this quota which is used to store LOB data received from your InfoSphere CDC source system. The amount of disk space required is determined by your replication environment and the amount of LOB data you are replicating. To improve performance, InfoSphere CDC will only persist LOB data to disk if RAM is not available on your target system. Use the mirror global disk quota gb system parameter to configure the amount of disk space used by this quota. InfoSphere CDC may require additional disk space in the following situations: v You are running large batch transactions in the database on your source system. v You are configuring multiple subscriptions and one of your subscriptions is latent. In this type of scenario, InfoSphere CDC on your source system may persist transaction queues to disk if RAM is not available. v You are replicating large LOB data types. v You are replicating "wide" tables that have hundreds of columns. v You are performing regular back ups of your metadata with the dmbackupmd command-line utility. System requirements 9

Related concepts “Supported operating systems and processors” on page 7 “Supported databases” on page 8 “RAM requirements” “Tablespace requirements” on page 11 “Port requirements” on page 11 “Configuring InfoSphere CDC (UNIX and Linux)” on page 41 RAM requirements RAM Each instance of InfoSphere CDC requires memory for the Java Virtual Machine (JVM). The following default values for memory are assigned: v 1024 MB of RAM —Default value for each 64-bit instance of InfoSphere CDC. v 512 MB of RAM—Default value for each 32-bit instance of InfoSphere CDC. Use the InfoSphere CDC configuration tool to configure the memory for each instance of InfoSphere CDC. Note: InfoSphere CDC is predominantly a Java-based application. However, some portions of it are written in C. These portions of InfoSphere CDC are not subject to the memory limits specified for the JVM Although InfoSphere CDC memory requirements will fluctuate, you must work with your system administrator to ensure the allocated memory for each instance of the product is available at all times. This may involve deployment planning since other applications with memory requirements may be installed on the same server with InfoSphere CDC. Using values other than the defaults or allocating more RAM than is physically available on your server should only be undertaken after considering the impacts on product performance. InfoSphere CDC source deployments may require additional RAM in the following scenarios: v You are replicating large LOB data types with your InfoSphere CDC source deployment. These data types are sent to target while being retrieved from the source database. The target waits until all LOBs (for each record) are received before applying a row. LOBs are stored in memory as long as there is adequate RAM, otherwise they are written to disk on the target. v You are replicating "wide" tables with hundreds of columns. v You are performing large batch transactions in your source database rather than online transaction processing (OLTP). 10 InfoSphere Change Data Capture: End-User Documentation

Related concepts “Supported databases” on page 8 “Supported operating systems and processors” on page 7 “Disk space requirements” on page 9 “Tablespace requirements” “Port requirements” “Configuring InfoSphere CDC (UNIX and Linux)” on page 41 Tablespace requirements Oracle tablespace for InfoSphere CDC metadata 25 MB—This is only an estimate and depends on the size of your replication configuration. Related concepts “Supported databases” on page 8 “Supported operating systems and processors” on page 7 “Disk space requirements” on page 9 “RAM requirements” on page 10 “Port requirements” Port requirements InfoSphere CDC requires that you allocate a port for communication with client workstations running Management Console and other servers. The port must be accessible through a firewall, although you do not require access to the Internet. Protocol Default port Purpose TCP 11111 Accepts connections from: v Management Console v Other installations of InfoSphere CDC as a source of replication v Command line utilities For more information on how to install Management Console, see Management Console and Access Server Installation Guide. Related concepts “Maintaining active TCP connections in a network environment” on page 54 “Disk space requirements” on page 9 “Supported operating systems and processors” on page 7 “Supported databases” on page 8 “RAM requirements” on page 10 “Tablespace requirements” “Configuring InfoSphere CDC (UNIX and Linux)” on page 41 System requirements 11

12 InfoSphere Change Data Capture: End-User Documentation

Before you install This section contains information on the tasks that you must complete before installing InfoSphere CDC. This section assumes that you have met all of the hardware, software, database, and port requirements. You must complete all of the tasks below before installing InfoSphere CDC. In this section, you will learn: “Required database, user accounts, and schemas” “Assessing disk space and memory requirements” on page 14 “Allocating sufficient disk space for database log files” on page 15 “Sizing considerations for the staging store” on page 16 “Enabling supplemental logging” on page 17 “Enabling InfoSphere CDC to use a bulk load refresh” on page 18 “Setting the database instance to ARCHIVELOG mode” on page 19 “InfoSphere CDC and Automatic Storage Management (ASM)” on page 19 “Starting the Oracle listener” on page 19 “Setting up a remote connection” on page 19 “Understanding Index Organized Tables (IOT) support” on page 20 “Replicating DDL changes” on page 21 “Calculating database connections required by InfoSphere CDC” on page 21 “Clustered tables” on page 23 “Interval partitions” on page 23 “Replicating XA transactions” on page 23 Required database, user accounts, and schemas Configuring an Oracle database When you configure InfoSphere CDC, you are prompted for the name of the Oracle database from which you want InfoSphere CDC to replicate data. Before installing InfoSphere CDC, ensure that this Oracle database exists and that you have created and set up a database user that has access to it. Setting up a UNIX user account When you are installing InfoSphere CDC on a UNIX machine, you must set up a new, or decide on an existing UNIX account that you will use to install, configure, or upgrade InfoSphere CDC. You can install InfoSphere CDC in the directory of your choice, however, it must be owned by the UNIX account. As well, the UNIX account must belong to the Oracle DBA group. Setting up an Oracle user account Create a user account for the Oracle database. When you configure a new instance of InfoSphere CDC, you are prompted for the name of the Oracle database you want InfoSphere CDC to connect to, the user name and password of the Oracle user that has access to this database. Unless your Oracle database is version 11g, neither the user name or password are case sensitive. Copyright IBM Corp. 2008, 2011 13

Setting up an Oracle user with a read-only connection to the database You can also create a user account that has a read-only connection to the Oracle database. This type of connection allows a user to read or query data from the database and does not allow a user to write or make any modifications. As an administrator, you can specify a read-only connection for a user when installing and configuring InfoSphere CDC. If you decide to create a read-only database user, you must ensure the following before installing and configuring InfoSphere CDC: v You have enabled supplemental logging for the Oracle database. v The DBMS FLASHBACK Oracle package is installed. By default, this package is installed when you create an Oracle database and run the CATPROC.SQL script. No further action is required for this package. For more information, refer to your Oracle documentation. Reviewing required privileges for Oracle users Befor

IBM InfoSphere Change Data Capture (InfoSphere CDC) is a replication solution that captures database changes as they happen and delivers them to target databases, message queues, or an ETL solution such as InfoSphere DataStage based on table mappings configured in the InfoSphere CDC Management Console GUI application.

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