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When users and applications enqueue messages manually, it is referred to as explicit capture. Messages are stored or staged in a queue.
These message s can be logical change records LCRs or user messages. A typed queue can stage messages of one specific type only.
Oracle Streams propagation s can propagate message s from one queue to another. These queues can be in the same database or in different databases.
Rules determine which messages are propagated by a propagation. Oracle Streams enables you to configure an environment in which changes are shared through directed networks.
In a directed network, propagated message s pass through one or more intermediate databases before arriving at a destination database where they are consumed.
The messages might or might not be consumed at an intermediate database in addition to the destination database.
Using Oracle Streams, you can choose which messages are propagated to each destination database, and you can specify the route messages will traverse on their way to a destination database.
A message is consumed when it is dequeued from a queue. An apply process can dequeue messages implicitly.
A user, application, or messaging client can dequeue messages explicitly. The database where messages are consumed is called the destination database.
In some configurations, the source database and the destination database can be the same. Rules determine which messages are dequeued and processed by an apply process.
Rules determine which messages are dequeued by a messaging client. A messaging client dequeues messages when it is invoked by an application or a user.
An apply process detects conflicts automatically when directly applying LCRs in a replication environment.
A conflict is a mismatch between the old values in an LCR and the expected data in a table.
Typically, a conflict results when the same row in the source database and destination database is changed at approximately the same time.
When a conflict occurs, you need a mechanism to ensure that the conflict is resolved in accordance with your business rules.
Oracle Streams offers a variety of prebuilt conflict handlers. Using these prebuilt handlers, you can define a conflict resolution system for each of your databases that resolves conflicts in accordance with your business rules.
If you have a unique situation that prebuilt conflict resolution handlers cannot resolve, then you can build your own conflict resolution handlers.
If a conflict is not resolved, or if a handler procedure raises an error, then all message s in the transaction that raised the error are saved in the error queue for later analysis and possible reexecution.
Oracle Streams Replication Administrator's Guide. A rule-based transformation is any modification to a message that results when a rule in a positive rule set evaluates to TRUE.
There are two types of rule-based transformations: declarative and custom. Declarative rule-based transformations cover a set of common transformation scenarios for row LCRs, including renaming a schema, renaming a table, adding a column, renaming a column, and deleting a column.
A custom rule-based transformation can modify either LCR s or user message s. For example, a custom rule-based transformation can change the data type of a particular column in an LCR.
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.
A rule must be in a positive rule set for its rule-based transformation to be invoked. A rule-based transformation specified for a rule in a negative rule set is ignored by capture process es, propagation s, apply process es, and messaging client s.
Throughout this document, "rule-based transformation" is used when the text applies to both declarative and custom rule-based transformations.
This document distinguishes between the two types of rule-based transformations when necessary. Every redo entry in the redo log has a tag associated with it.
The data type of the tag is RAW. By default, when a user or application generates redo entries, the value of the tag is NULL for each redo entry, and a NULL tag consumes no space in the redo entry.
The size limit for a tag value is bytes. In Oracle Streams, rule s can have conditions relating to tag values to control the behavior of Oracle Streams client s.
For example, a tag can be used to determine whether an LCR contains a change that originated in the local database or at a different database, so that you can avoid change cycling sending an LCR back to the database where it originated.
Also, a tag can be used to specify the set of destination database s for each LCR. 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.
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. The next DML on that table is matched to the new metadata so that the target table structure always is up-to-date with that of the source.
This is a performance improvement that has benefit for such operations as imports and exports, where such DDL as truncates and the disabling of constraints are often performed.
These operations do not affect table structure, as it relates to the integrity of subsequent data replication, so they can be ignored in such cases.
This option should be used with the assistance of Oracle GoldenGate technical support staff, because it might not always be apparent which DDL affects object metadata.
If improperly used, it can compromise the integrity of the replication environment. Causes the Extract or Replicat process take a defined action based on a DDL record in the transaction log or trail, which is known as the event record.
The DDL event is triggered if the DDL record is eligible to be written to the trail by Extract or a data pump, or to be executed by Replicat, as determined by the other filtering options of the DDL parameter.
You can use this system to customize processing based on database events. Because DDL operations are autonomous, ignoring a record is equivalent to ignoring the entire transaction.
It is not supported by the primary Extract in this configuration because concurrent changes are not sorted in transaction order at this point in the processing stream.
The following is an example of how to combine the options of the DDL parameter. The following example demonstrates the different ways to specify catalog names for DDL that is issued on objects in a source Oracle container database.
This includes pdb1. This includes all objects with the name sch. This also includes all objects with the name sch.
When used with options, the DDL parameter acts as a filtering agent to include or exclude DDL operations based on: scope object type operation type object name strings in the DDL command syntax or comments, or both 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.
An exclusion clause contains filtering criteria that excludes specific DDL from this parameter.