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Tags can be used for other LCR tracking purposes as well. You can specify Oracle Streams tags for redo entries generated by a certain session or by an apply process.

These tags then become part of the LCRs captured by a capture process or synchronous capture. Typically, tags are used in Oracle Streams replication environments, but you can use them whenever it is necessary to track database changes and LCRs.

In addition to information sharing between Oracle databases, Oracle Streams supports heterogeneous information sharing between Oracle databases and non-Oracle databases.

Oracle Streams can capture data manipulation language DML and data definition language DDL changes made to database objects and replicate those changes to one or more other databases.

An Oracle Streams capture process or synchronous capture captures changes made to source database objects and formats them into LCRs, which can be propagated to destination database s and then applied by Oracle Streams apply process es.

The destination databases can allow DML and DDL changes to the same database objects, and these changes might or might not be propagated to the other databases in the environment.

In other words, you can configure an Oracle Streams environment with one database that propagates changes, or you can configure an environment where changes are propagated between databases bidirectionally.

Also, the tables for which data is shared do not need to be identical copies at all databases. Both the structure and the contents of these tables can differ at different databases, and the information in these tables can be shared between these databases.

Data warehouse loading is a special case of data replication. Some of the most critical tasks in creating and maintaining a data warehouse include refreshing existing data, and adding new data from the operational databases.

Oracle Streams components can capture changes made to a production system and send those changes to a staging database or directly to a data warehouse or operational data store.

Oracle Streams capture of redo data with a capture process avoids unnecessary overhead on the production systems. Support for data transformations and user-defined apply procedures enables the necessary flexibility to reformat data or update warehouse-specific data fields as data is loaded.

In addition, Change Data Capture uses some of the components of Oracle Streams to identify data that has changed so that this data can be loaded into a data warehouse.

Oracle Database Data Warehousing Guide for more information about data warehouses. You can use the features of Oracle Streams to achieve little or no database down time during database upgrade and maintenance operations.

Maintenance operations include migrating a database to a different platform, migrating a database to a different character set, modifying database schema objects to support upgrades to user-created applications, and applying an Oracle software patch.

Oracle Streams Advanced Queuing AQ enables user applications to enqueue message s into a queue , propagate messages to subscribing queues, notify user applications that messages are ready for consumption , and dequeue messages at the destination.

Oracle Streams AQ supports all the standard features of message queuing systems, including multiconsumer queues, publish and subscribe, content-based routing, Internet propagation, transformations, and gateways to other messaging subsystems.

You can create a queue at a database, and applications can enqueue messages into the queue explicitly. Subscribing applications or messaging client s can dequeue messages directly from this queue.

If an application is remote, then a queue can be created in a remote database that subscribes to messages published in the source queue.

The destination application can dequeue messages from the remote queue. Alternatively, the destination application can dequeue messages directly from the source queue using a variety of standard protocols.

Business events are valuable communications between applications or organizations. An application can enqueue message s that represent events into a queue explicitly, or an Oracle Streams capture process or synchronous capture can capture database events and encapsulate them into messages called LCRs.

Propagations can propagate messages in a stream through multiple queues. Finally, a user application can dequeue messages explicitly, or an Oracle Streams apply process can dequeue messages implicitly.

An apply process can reenqueue these messages explicitly into the same queue or a different queue if necessary.

You can configure queues to retain explicitly-enqueued messages after consumption for a specified period of time. Oracle Streams AQ stores all messages in the database in a transactional manner, where they can be automatically audited and tracked.

You can use this audit trail to extract intelligence about the business operations. Oracle Streams capture processes, synchronous captures, propagation s, apply processes, and messaging client s perform actions based on rule s.

You specify which events are captured, propagated, applied, and dequeued using rules, and a built-in rules engine evaluates events based on these rules.

The ability to capture events and propagate them to relevant consumers based on rules means that you can use Oracle Streams for event notification.

Messages representing events can be staged in a queue and dequeued explicitly by a messaging client or an application, and then actions can be taken based on these events, which can include an e-mail notification, or passing the message to a wireless gateway for transmission to a cell phone or pager.

One solution for data protection is to create a local or remote copy of a production database. In the event of human error or a catastrophe, the copy can be used to resume processing.

You can use Oracle Data Guard SQL Apply, a data protection feature that uses some of the same infrastructure as Oracle Streams, to create and maintain a logical standby database, which is a logically equivalent standby copy of a production database.

As in the case of Oracle Streams replication , a capture process captures changes in the redo log and formats these changes into LCRs.

These LCRs are applied at the standby databases. Therefore, these standby databases can be queried as updates are applied.

It is important to move the updates to the remote site as soon as possible with a logical standby database. Doing so ensures that, in the event of a failure, lost transactions are minimal.

By directly and synchronously writing the redo logs at the remote database, you can achieve no data loss in the event of a disaster.

At the standby system, the changes are captured and directly applied to the standby database with an apply process. Oracle Data Guard Concepts and Administration for more information about logical standby databases.

Figure shows a sample hub-and-spoke replication configuration. A hub-and-spoke replication configuration typically is used to distribute information to multiple target databases and to consolidate information from multiple databases to a single database.

A hub-and-spoke replication configuration is one in which a central database, or hub, communicates with one or more secondary databases, or spokes.

The spokes do not communicate directly with each other. In a hub-and-spoke replication configuration, the spokes might or might not allow changes to the replicated database objects.

In the sample hub-and-spoke replication configuration shown in Figure , there is one hub database and two spoke databases.

The spoke databases allow changes to the replicated database objects. Figure shows a sample replication configuration that uses a downstream capture process.

Downstream capture means that the capture process runs on a remote database instead of the source database. Using downstream capture removes the capture workload from the production database.

In the sample replication configuration shown in Figure , the downstream capture process runs at the remote database dest.

At the remote database, a downstream capture process captures the changes in the redo data sent from the source database and an apply process applies these changes to the local database objects.

Figure shows a sample replication configuration that uses synchronous captures to capture changes instead of capture processes.

You can use a synchronous capture replication configuration to replicate changes to tables with infrequent data changes in a highly active database or in situations where capturing changes from the redo logs is not possible.

Figure shows a sample n-way replication configuration. An n-way replication configuration typically is used in an environment with several peer databases and each database must replicate data with each of the other databases.

An n-way replication configuration can provide load balancing, and it can provide failover protection if a single database becomes unavailable.

An n-way replication configuration is one in which each database communicates directly with each other database in the environment.

The changes made to replicated database objects at one database are captured and sent directly to each of the other databases in the environment, where they are applied.

In the sample n-way replication configuration shown in Figure , each of the three databases captures changes to the replicated database objects and sends these changes to the other two databases in the configuration.

Apply processes at each database apply the changes sent from the other two databases. Figure shows a sample configuration that captures database changes with a capture process and applies these changes with an apply process in a single database.

In this configuration, the apply process reenqueues the changes into the queue for processing by an application. Also, a DML handler inserts rows that were deleted from the hr.

Figure shows a sample messaging configuration. A messaging configuration sends messages from one queue to another queue.

The two queues can be in the same database or in different databases. The messages can be dequeued and processed by applications in a customized way.

In the sample messaging configuration shown in Figure , a trigger at one database creates and enqueues messages.

Several tools are available for configuring, administering, and monitoring your Oracle Streams environment. Additionally, Oracle Streams data dictionary views keep you informed about your Oracle Streams environment.

This package includes procedures that enable you to configure apply handler s, set enqueue destinations for messages, and specify execution directives for messages.

This package also provides administrative procedures that set the instantiation SCN for objects at a destination database.

This package also includes subprograms for configuring conflict detection and resolution and for managing apply errors. It also provides an administrative interface for configuring a synchronous capture.

This package also provides administrative procedures that prepare database objects at the source database for instantiation at a destination database.

The goal of this procedure is to produce the list of satisfied rules, based on the data. This package also contains subprograms that enable you to use iterators during rule evaluation.

This package also contains subprograms for managing privileges related to rules. This package also enables you to add rules that control which message s a propagation propagates and which messages a messaging client dequeues.

This package also contains procedures for creating queue s and for managing Oracle Streams metadata, such as data dictionary information.

This package also contains procedures that enable you to configure and maintain an Oracle Streams replication environment. This package is provided as an easy way to complete common tasks in an Oracle Streams environment.

This package is part of the Oracle Streams Performance Advisor. This package also provides administrative procedures for copying tablespaces between databases and moving tablespaces from one database to another.

This package uses the Oracle Streams Performance Advisor to gather statistics. Every database in an Oracle Streams environment has Oracle Streams data dictionary views.

These views maintain administrative information about local rule s, objects, capture process es, propagation s, apply process es, and messaging client s.

You can use these views to monitor your Oracle Streams environment. Oracle Streams Replication Administrator's Guide for queries that are useful in an Oracle Streams replication environment.

Oracle Database Reference for more information about these data dictionary views. You can also use the Oracle Streams tool to generate Oracle Streams configuration scripts, which you can then modify and run to configure your Oracle Streams environment.

The Oracle Streams tool online Help contains the primary documentation for this tool. Figure shows the top portion of the Streams page in Enterprise Manager.

Figure shows the Oracle Streams Topology, which is on the bottom portion of the Streams page in the Enterprise Manager.

Oracle Enterprise Manager Concepts. Oracle Streams provides many options for setting up, managing, and monitoring information-sharing environments.

This section provides a documentation roadmap to help you find the documentation you need. Oracle Streams Concepts and Administration contains detailed conceptual information about Oracle Streams, detailed instructions for managing Oracle Streams components using Oracle-supplied packages, and detailed instructions for monitoring Oracle Streams components with data dictionary views.

Oracle Streams Replication Administrator's Guide contains conceptual information that relates to Oracle Streams replication environments, information about configuring an Oracle Streams replication environment using Oracle-supplied packages, and information about managing an Oracle Streams replication environment using Oracle-supplied packages.

Oracle Streams Advanced Queuing User's Guide contains conceptual information about Oracle Streams messaging Advanced Queuing environments, information about configuring a messaging environment, and information about managing a messaging environment using Oracle-supplied packages and other administrative interfaces.

Oracle Database Reference contains reference information about the data dictionary views related to Oracle Streams. The Oracle Streams online help in Oracle Enterprise Manager contains instructions for setting up, managing, and monitoring an Oracle Streams environment using Oracle Enterprise Manager.

This documentation roadmap is intended to guide you to the information you need in these documents.

Before setting up an Oracle Streams environment, it is best to understand the features of Oracle Streams and how you can use them. Table helps you find conceptual information about Oracle Streams.

Oracle Streams Replication Administrator's Guide for information about apply processes that is specific to replication environments, such as information about applying changes with dependencies and applying DML and DDL changes.

Oracle Streams Replication Administrator's Guide for information about capture processes that is specific to replication environments, such as information about supplemental logging.

Oracle Streams Advanced Queuing User's Guide for detailed information about capturing messages with applications.

Oracle Streams Replication Administrator's Guide for detailed information about comparing database objects at two different databases and converging differences in these database objects.

Oracle Streams Replication Administrator's Guide for detailed information about conflicts and conflict resolution. Oracle Streams Advanced Queuing User's Guide for detailed information about consuming messages with applications.

Oracle Streams Replication Administrator's Guide for detailed information about working with non-Oracle databases. Oracle Database High Availability Overview for information about your high availability options.

Chapter 29, "Information Provisioning Concepts" for information about moving or copying large amounts of information efficiently.

Oracle Streams Replication Administrator's Guide for detailed information about instantiation. Chapter 7, "Rule-Based Transformations" for detailed information about rule-based transformations.

Oracle Streams Replication Administrator's Guide for detailed information about tags. You can set up many different types of Oracle Streams environments, and you have several options for setting them up.

Table helps you find the documentation you need to set up an Oracle Streams environment. Oracle Streams Replication Administrator's Guide for step-by-step instructions to set up an Oracle Streams replication environment by configuring individual components in the correct order.

Oracle Streams Replication Administrator's Guide for the following examples:. An example that provides step-by-step instructions for setting up a simple replication environment that replicates changes to a single table.

An example that provides step-by-step instructions for setting up a heterogeneous replication environment that includes a rule-based transformation.

An example that provides step-by-step instructions for setting up an n-way replication environment with conflict resolution.

Oracle Streams Replication Administrator's Guide for step-by-step instructions to extend an Oracle Streams replication environment by configuring individual components in the correct order.

Oracle Streams Replication Administrator's Guide for an example that provides step-by-step instructions for extending a heterogeneous replication environment.

An example that provides step-by-step instructions for setting up a messaging environment that sends messages between databases.

An example that provides step-by-step instructions for setting up message notifications that inform applications when new messages are in a queue.

Oracle Streams Advanced Queuing User's Guide for detailed instructions about setting up messaging environments.

Oracle Streams Replication Administrator's Guide for information about the best practices to follow when setting up an Oracle Streams environment.

Table helps you find the documentation you need to manage an Oracle Streams environment. Oracle Enterprise Manager online help for information about managing apply handlers and apply tags using Oracle Enterprise Manager, and about dropping apply processes using Oracle Enterprise Manager.

Chapter 16, "Managing Oracle Streams Information Consumption" for information about managing apply processes using Oracle-supplied packages.

Oracle Streams Replication Administrator's Guide for information about managing apply processes in a replication environment using Oracle-supplied packages.

Oracle Streams Replication Administrator's Guide for information about managing supplemental logging. Oracle Streams Replication Administrator's Guide for information about avoiding conflicts and configuring conflict resolution.

Oracle Streams Replication Administrator's Guide for information about performing instantiations. When combined, multiple filter option specifications are linked logically as AND statements.

All filter criteria specified with multiple options must be satisfied for a DDL statement to be replicated. When using complex filtering criteria in a DDL parameter statement, it is recommended that you test your configuration in a test environment before using it in production.

See Example 1, "Example" for more information. These process types do not permit the mapping or conversion of DDL and will propagate DDL records automatically in pass-through mode.

The following are the syntax options for filtering and operating upon the DDL that is replicated by Oracle GoldenGate.

An inclusion clause contains filtering criteria that identifies the DDL that this parameter will affect. For example, the following is invalid:.

You can use multiple inclusion and exclusion clauses. It provides the current metadata to Oracle GoldenGate as objects change, thus preventing the need to stop and start the Oracle GoldenGate processes.

For type , use any DDL command that is valid for the database. For an Oracle materialized view and materialized views log, the correct types are snapshot and snapshot log , respectively.

Enclose the name of the object type within single quotes. For example:. Use these options when the source database is an Oracle container database.

The following is the order of precedence that is given when there are different catalog specifications in a parameter file:.

For example, to include the following DDL statement, the correct value is hr. For example, the following excludes DDL that creates an index.

For example, the following excludes DDL statements that include the string 'source only' in the comments. Enclose the string within single quotes.

The string search is not case sensitive. To include spaces, put the space and the word, if applicable in double quotes. Double quotes also can be used to enclose sentences.

When Extract first encounters DML on a table, it retrieves the metadata for that table. When DDL is encountered on that table, the old metadata is invalidated.

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At the standby system, the changes are captured and directly applied to the standby database with an apply process. Oracle Data Guard Concepts and Administration for more information about logical standby databases.

Figure shows a sample hub-and-spoke replication configuration. A hub-and-spoke replication configuration typically is used to distribute information to multiple target databases and to consolidate information from multiple databases to a single database.

A hub-and-spoke replication configuration is one in which a central database, or hub, communicates with one or more secondary databases, or spokes.

The spokes do not communicate directly with each other. In a hub-and-spoke replication configuration, the spokes might or might not allow changes to the replicated database objects.

In the sample hub-and-spoke replication configuration shown in Figure , there is one hub database and two spoke databases.

The spoke databases allow changes to the replicated database objects. Figure shows a sample replication configuration that uses a downstream capture process.

Downstream capture means that the capture process runs on a remote database instead of the source database.

Using downstream capture removes the capture workload from the production database. In the sample replication configuration shown in Figure , the downstream capture process runs at the remote database dest.

At the remote database, a downstream capture process captures the changes in the redo data sent from the source database and an apply process applies these changes to the local database objects.

Figure shows a sample replication configuration that uses synchronous captures to capture changes instead of capture processes.

You can use a synchronous capture replication configuration to replicate changes to tables with infrequent data changes in a highly active database or in situations where capturing changes from the redo logs is not possible.

Figure shows a sample n-way replication configuration. An n-way replication configuration typically is used in an environment with several peer databases and each database must replicate data with each of the other databases.

An n-way replication configuration can provide load balancing, and it can provide failover protection if a single database becomes unavailable.

An n-way replication configuration is one in which each database communicates directly with each other database in the environment.

The changes made to replicated database objects at one database are captured and sent directly to each of the other databases in the environment, where they are applied.

In the sample n-way replication configuration shown in Figure , each of the three databases captures changes to the replicated database objects and sends these changes to the other two databases in the configuration.

Apply processes at each database apply the changes sent from the other two databases. Figure shows a sample configuration that captures database changes with a capture process and applies these changes with an apply process in a single database.

In this configuration, the apply process reenqueues the changes into the queue for processing by an application.

Also, a DML handler inserts rows that were deleted from the hr. Figure shows a sample messaging configuration.

A messaging configuration sends messages from one queue to another queue. The two queues can be in the same database or in different databases.

The messages can be dequeued and processed by applications in a customized way. In the sample messaging configuration shown in Figure , a trigger at one database creates and enqueues messages.

Several tools are available for configuring, administering, and monitoring your Oracle Streams environment. Additionally, Oracle Streams data dictionary views keep you informed about your Oracle Streams environment.

This package includes procedures that enable you to configure apply handler s, set enqueue destinations for messages, and specify execution directives for messages.

This package also provides administrative procedures that set the instantiation SCN for objects at a destination database.

This package also includes subprograms for configuring conflict detection and resolution and for managing apply errors. It also provides an administrative interface for configuring a synchronous capture.

This package also provides administrative procedures that prepare database objects at the source database for instantiation at a destination database.

The goal of this procedure is to produce the list of satisfied rules, based on the data. This package also contains subprograms that enable you to use iterators during rule evaluation.

This package also contains subprograms for managing privileges related to rules. This package also enables you to add rules that control which message s a propagation propagates and which messages a messaging client dequeues.

This package also contains procedures for creating queue s and for managing Oracle Streams metadata, such as data dictionary information.

This package also contains procedures that enable you to configure and maintain an Oracle Streams replication environment. This package is provided as an easy way to complete common tasks in an Oracle Streams environment.

This package is part of the Oracle Streams Performance Advisor. This package also provides administrative procedures for copying tablespaces between databases and moving tablespaces from one database to another.

This package uses the Oracle Streams Performance Advisor to gather statistics. Every database in an Oracle Streams environment has Oracle Streams data dictionary views.

These views maintain administrative information about local rule s, objects, capture process es, propagation s, apply process es, and messaging client s.

You can use these views to monitor your Oracle Streams environment. Oracle Streams Replication Administrator's Guide for queries that are useful in an Oracle Streams replication environment.

Oracle Database Reference for more information about these data dictionary views. You can also use the Oracle Streams tool to generate Oracle Streams configuration scripts, which you can then modify and run to configure your Oracle Streams environment.

The Oracle Streams tool online Help contains the primary documentation for this tool. Figure shows the top portion of the Streams page in Enterprise Manager.

Figure shows the Oracle Streams Topology, which is on the bottom portion of the Streams page in the Enterprise Manager.

Oracle Enterprise Manager Concepts. Oracle Streams provides many options for setting up, managing, and monitoring information-sharing environments.

This section provides a documentation roadmap to help you find the documentation you need. Oracle Streams Concepts and Administration contains detailed conceptual information about Oracle Streams, detailed instructions for managing Oracle Streams components using Oracle-supplied packages, and detailed instructions for monitoring Oracle Streams components with data dictionary views.

Oracle Streams Replication Administrator's Guide contains conceptual information that relates to Oracle Streams replication environments, information about configuring an Oracle Streams replication environment using Oracle-supplied packages, and information about managing an Oracle Streams replication environment using Oracle-supplied packages.

Oracle Streams Advanced Queuing User's Guide contains conceptual information about Oracle Streams messaging Advanced Queuing environments, information about configuring a messaging environment, and information about managing a messaging environment using Oracle-supplied packages and other administrative interfaces.

Oracle Database Reference contains reference information about the data dictionary views related to Oracle Streams.

The Oracle Streams online help in Oracle Enterprise Manager contains instructions for setting up, managing, and monitoring an Oracle Streams environment using Oracle Enterprise Manager.

This documentation roadmap is intended to guide you to the information you need in these documents. Before setting up an Oracle Streams environment, it is best to understand the features of Oracle Streams and how you can use them.

Table helps you find conceptual information about Oracle Streams. Oracle Streams Replication Administrator's Guide for information about apply processes that is specific to replication environments, such as information about applying changes with dependencies and applying DML and DDL changes.

Oracle Streams Replication Administrator's Guide for information about capture processes that is specific to replication environments, such as information about supplemental logging.

Oracle Streams Advanced Queuing User's Guide for detailed information about capturing messages with applications.

Oracle Streams Replication Administrator's Guide for detailed information about comparing database objects at two different databases and converging differences in these database objects.

Oracle Streams Replication Administrator's Guide for detailed information about conflicts and conflict resolution. Oracle Streams Advanced Queuing User's Guide for detailed information about consuming messages with applications.

Oracle Streams Replication Administrator's Guide for detailed information about working with non-Oracle databases.

Oracle Database High Availability Overview for information about your high availability options. Chapter 29, "Information Provisioning Concepts" for information about moving or copying large amounts of information efficiently.

Oracle Streams Replication Administrator's Guide for detailed information about instantiation. Chapter 7, "Rule-Based Transformations" for detailed information about rule-based transformations.

Oracle Streams Replication Administrator's Guide for detailed information about tags. You can set up many different types of Oracle Streams environments, and you have several options for setting them up.

Table helps you find the documentation you need to set up an Oracle Streams environment. Oracle Streams Replication Administrator's Guide for step-by-step instructions to set up an Oracle Streams replication environment by configuring individual components in the correct order.

Oracle Streams Replication Administrator's Guide for the following examples:. An example that provides step-by-step instructions for setting up a simple replication environment that replicates changes to a single table.

An example that provides step-by-step instructions for setting up a heterogeneous replication environment that includes a rule-based transformation.

An example that provides step-by-step instructions for setting up an n-way replication environment with conflict resolution.

Oracle Streams Replication Administrator's Guide for step-by-step instructions to extend an Oracle Streams replication environment by configuring individual components in the correct order.

Oracle Streams Replication Administrator's Guide for an example that provides step-by-step instructions for extending a heterogeneous replication environment.

An example that provides step-by-step instructions for setting up a messaging environment that sends messages between databases.

An example that provides step-by-step instructions for setting up message notifications that inform applications when new messages are in a queue.

Oracle Streams Advanced Queuing User's Guide for detailed instructions about setting up messaging environments. Oracle Streams Replication Administrator's Guide for information about the best practices to follow when setting up an Oracle Streams environment.

Table helps you find the documentation you need to manage an Oracle Streams environment. Oracle Enterprise Manager online help for information about managing apply handlers and apply tags using Oracle Enterprise Manager, and about dropping apply processes using Oracle Enterprise Manager.

Chapter 16, "Managing Oracle Streams Information Consumption" for information about managing apply processes using Oracle-supplied packages.

Oracle Streams Replication Administrator's Guide for information about managing apply processes in a replication environment using Oracle-supplied packages.

Oracle Streams Replication Administrator's Guide for information about managing supplemental logging. Oracle Streams Replication Administrator's Guide for information about avoiding conflicts and configuring conflict resolution.

Oracle Streams Replication Administrator's Guide for information about performing instantiations.

Oracle Streams Replication Administrator's Guide for information about the best practices to follow when managing an Oracle Streams environment.

Oracle Enterprise Manager online help for information about scheduling, unscheduling, and dropping propagations using Oracle Enterprise Manager.

Oracle Streams Advanced Queuing User's Guide for information about managing propagations using Oracle-supplied packages and other administrative interfaces.

Oracle Enterprise Manager online help for information about managing queues, queue tables, and Advanced Queuing transformations using Oracle Enterprise Manager.

Oracle Streams Advanced Queuing User's Guide for information about managing queues using Oracle-supplied packages and other administrative interfaces.

Oracle Enterprise Manager online help for information about managing rules using Oracle Enterprise Manager. Chapter 17, "Managing Rules" for information about managing rules using Oracle-supplied packages.

Oracle Enterprise Manager online help for information about managing rule-based transformations using Oracle Enterprise Manager.

Chapter 18, "Managing Rule-Based Transformations" for information about managing rule-based transformations using Oracle-supplied packages.

Oracle Enterprise Manager online help for information about troubleshooting an Oracle Streams environment using Oracle Enterprise Manager.

Chapter 20, "Troubleshooting an Oracle Streams Environment" for general information about troubleshooting an Oracle Streams environment.

Oracle Streams Replication Administrator's Guide for information about troubleshooting an Oracle Streams replication environment.

Oracle Streams Replication Administrator's Guide for information about splitting off an unavailable destination database from a replication environment and merging the database back into the replication environment when it becomes available again.

Oracle Enterprise Manager online help for information about monitoring apply process parameters, apply handler s, and apply errors using Oracle Enterprise Manager.

Chapter 25, "Monitoring Oracle Streams Apply Processes" for information about monitoring apply processes using data dictionary views.

Oracle Streams Replication Administrator's Guide for information about monitoring apply processes in a replication environment using data dictionary views.

Oracle Enterprise Manager online help for information about monitoring capture process parameters using Oracle Enterprise Manager.

Oracle Streams Replication Administrator's Guide for information about monitoring supplemental logging using data dictionary views. Oracle Streams Replication Administrator's Guide for information about monitoring conflict detection and update conflict handlers using data dictionary views.

Oracle Database Reference. Oracle Streams Advanced Queuing User's Guide for information about monitoring messaging environments using data dictionary views.

Oracle Streams topology and performance statistics. Oracle Enterprise Manager online help for information about monitoring rules using Oracle Enterprise Manager.

Chapter 26, "Monitoring Rules" for information about monitoring rules using data dictionary views. Chapter 27, "Monitoring Rule-Based Transformations" for information about monitoring rule-based transformations using data dictionary views.

Note: Oracle Enterprise Manager currently does not support monitoring synchronous captures. Oracle Streams Replication Administrator's Guide for information about monitoring tags using data dictionary views.

You can use Oracle Streams to achieve little or no down time for one-time operations, such as upgrading a database.

Table helps you find the documentation you need to perform one-time operations with Oracle Streams. Appendix D, "Online Database Upgrade with Oracle Streams" for information about using Oracle Streams to perform a database upgrade with little or no down time.

Appendix E, "Online Database Maintenance with Oracle Streams" for information about using Oracle Streams to perform a database maintenance operations with little or no down time.

These database maintenance operations include migrating a database to a different platform, migrating a database to a different character set, modifying database schema objects to support upgrades to user-created applications, and applying an Oracle Database software patch or patch set.

What Are the Uses of Oracle Streams? Figure shows the Oracle Streams information flow. What Can Oracle Streams Do?

Stage Messages in a Queue Messages are stored or staged in a queue. Propagate Messages from One Queue to Another Oracle Streams propagation s can propagate message s from one queue to another.

Consume Messages A message is consumed when it is dequeued from a queue. Detect and Resolve Conflicts An apply process detects conflicts automatically when directly applying LCRs in a replication environment.

Transform Messages A rule-based transformation is any modification to a message that results when a rule in a positive rule set evaluates to TRUE.

Either type of rule-based transformation can occur at the following times: During enqueue of a message by a capture process , which can be useful for formatting a message in a manner appropriate for all destination database s During propagation of a message, which can be useful for transforming a message before it is sent to a specific remote site During dequeue of a message by an apply process or messaging client , which can be useful for formatting a message in a manner appropriate for a specific destination database When a transformation is performed during apply, an apply process can apply the transformed message directly or send the transformed message to an apply handler for processing.

Note: A rule must be in a positive rule set for its rule-based transformation to be invoked. Share Information With Non-Oracle Databases In addition to information sharing between Oracle databases, Oracle Streams supports heterogeneous information sharing between Oracle databases and non-Oracle databases.

Data Replication Oracle Streams can capture data manipulation language DML and data definition language DDL changes made to database objects and replicate those changes to one or more other databases.

Data Warehouse Loading Data warehouse loading is a special case of data replication. Database Availability During Upgrade and Maintenance Operations You can use the features of Oracle Streams to achieve little or no database down time during database upgrade and maintenance operations.

Message Queuing Oracle Streams Advanced Queuing AQ enables user applications to enqueue message s into a queue , propagate messages to subscribing queues, notify user applications that messages are ready for consumption , and dequeue messages at the destination.

Event Management and Notification Business events are valuable communications between applications or organizations.

As an Extract parameter, it captures all supported DDL operations that are generated on all supported database objects and sends them to the trail.

This is the same as the default behavior without this parameter. Only one DDL parameter can be used in a parameter file, but you can combine multiple inclusion and exclusion options to filter the DDL to the required level.

The filtering options of the DDL parameter are valid for a primary Extract that captures from the transaction source, but not for a data-pump Extract.

When combined, multiple filter option specifications are linked logically as AND statements. All filter criteria specified with multiple options must be satisfied for a DDL statement to be replicated.

When using complex filtering criteria in a DDL parameter statement, it is recommended that you test your configuration in a test environment before using it in production.

See Example 1, "Example" for more information. These process types do not permit the mapping or conversion of DDL and will propagate DDL records automatically in pass-through mode.

The following are the syntax options for filtering and operating upon the DDL that is replicated by Oracle GoldenGate.

An inclusion clause contains filtering criteria that identifies the DDL that this parameter will affect. For example, the following is invalid:.

You can use multiple inclusion and exclusion clauses. It provides the current metadata to Oracle GoldenGate as objects change, thus preventing the need to stop and start the Oracle GoldenGate processes.

For type , use any DDL command that is valid for the database. For an Oracle materialized view and materialized views log, the correct types are snapshot and snapshot log , respectively.

Enclose the name of the object type within single quotes. For example:. Use these options when the source database is an Oracle container database.

The following is the order of precedence that is given when there are different catalog specifications in a parameter file:.

For example, to include the following DDL statement, the correct value is hr. For example, the following excludes DDL that creates an index.

For example, the following excludes DDL statements that include the string 'source only' in the comments. Enclose the string within single quotes.

The string search is not case sensitive.

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PNL - Au DD [Clip Officiel] The messages can be dequeued and processed by applications in a customized way. During dequeue of a message by an apply process or messaging serien stream expansecontinue reading can be useful link formatting a message in think, roge consider manner appropriate for a specific source database. Ddl streaming is not supported by the primary Extract in this configuration because concurrent changes are not sorted in transaction order at https://pernillawahlgrencollection.se/serien-kostenlos-stream/hitlers-flucht-doku.php point in the processing stream. You can use Oracle Data Guard SQL Apply, a data protection feature that uses some of the same infrastructure as Oracle Streams, to create and maintain a logical standby database, which is a logically equivalent standby copy of a production database. Oracle Streams AQ supports all the standard features of message queuing systems, including multiconsumer queues, publish and subscribe, content-based routing, Internet propagation, transformations, and gateways to other messaging subsystems.