3 Oracle Streams Staging and Propagation

ANYDATA Queues and Typed Queues

A queue of ANYDATA type can stage messages of almost any type and is called an ANYDATA queue. A typed queue can stage messages of a specific type. Oracle Streams clients always use ANYDATA queues.

In an Oracle Streams replication environment, logical change records (LCRs) must be staged in ANYDATA queues. In an Oracle Streams messaging environment, both ANYDATA queues and typed queues can stage messages. Publishing applications can enqueue messages into a single queue, and subscribing applications can dequeue these messages.

Two types of messages can be encapsulated into an ANYDATA object and staged in an ANYDATA queue: LCRs and user messages. An LCR is an object that contains information about a change to a database object. A user message is a message of a user-defined type created by users or applications. Both types of messages can be used for information sharing within a single database or between databases.

ANYDATA queues can stage user messages whose payloads are of ANYDATA type. An ANYDATA payload can be a wrapper for payloads of different data types.

By using ANYDATA wrappers for message payloads, publishing applications can enqueue messages of different types into a single queue, and subscribing applications can dequeue these messages, either explicitly using a messaging client or an application, or implicitly using an apply process. If the subscribing application is remote, then the messages can be propagated to the remote site, and the subscribing application can dequeue the messages from a local queue in the remote database. Alternatively, a remote subscribing application can dequeue messages directly from the source queue using a variety of standard protocols, such as PL/SQL and OCI.

You can wrap almost any type of payload in an ANYDATA payload. To do this, you use the Convertdata_type static functions of the ANYDATA type, where data_type is the type of object to wrap. These functions take the object as input and return an ANYDATA object.

Oracle Streams includes the features of Oracle Streams Advanced Queuing (AQ), which 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.

Persistent Queues and Buffered Queues

Oracle Streams supports the following message modes:

• Persistent messaging: Messages are always stored on disk in a database table called a queue table. This type of storage is sometimes called persistent queue storage.

• Buffered messaging: Messages are stored in memory but can spill to a queue table under certain conditions. This type of storage is sometimes called buffered queue storage. The memory includes Oracle Streams pool memory that is associated with a queue that contains messages that were captured by a capture process or enqueued by applications.

Buffered queues enable Oracle to optimize messages by buffering them in the System Global Area (SGA) instead of always storing them in a queue table. Buffered messaging provides better performance, but it does not support some messaging features, such as message retention. Message retention lets you specify the amount of time a message is retained in the queue table after being dequeued.

If the size of the Oracle Streams pool is not managed automatically, then you should increase the size of the Oracle Streams pool by 10 MB for each buffered queue in a database. Buffered queues improve performance, but some of the information in a buffered queue can be lost if the instance containing the buffered queue shuts down normally or abnormally. Oracle Streams automatically recovers from these cases, assuming full database recovery is performed on the instance.

Messages in a buffered queue can spill from memory into the queue table if they have been staged in the buffered queue for a period of time without being dequeued, or if there is not enough space in memory to hold all of the messages. Messages that spill from memory are stored in the appropriate AQ$_queue_table_name_p table, where queue_table_name is the name of the queue table for the queue. Also, for each spilled message, information is stored in the AQ$_queue_table_name_d table about any propagations and apply processes that are eligible for processing the message.

LCRs that were captured by a capture process are always stored in a buffered queue, but LCRs that were captured by a synchronous capture are always stored in a persistent queue. Other types of messages might or might not be stored in a buffered queue. When an application enqueues a message, the enqueue operation specifies whether the enqueued message is stored in the buffered queue or in the persistent queue. The delivery_mode attribute in the enqueue_options parameter of the DBMS_AQ.ENQUEUE procedure determines whether a message is stored in the buffered queue or the persistent queue. Specifically, if the delivery_mode attribute is the default PERSISTENT, then the message is enqueued into the persistent queue. If it is set to BUFFERED, then the message is enqueued as the buffered queue. When a transaction is moved to the error queue, all messages in the transaction always are stored in a queue table, not in a buffered queue.

Propagation Rules

A propagation either propagates or discards messages based on rules that you define. For LCRs, each rule specifies the database objects and types of changes for which the rule evaluates to TRUE. For user messages, you can create rules to control propagation behavior for specific types of messages. You can place these rules in a positive rule set or a negative rule set used by the propagation.

If a rule evaluates to TRUE for a message, and the rule is in the positive rule set for a propagation, then the propagation propagates the change. If a rule evaluates to TRUE for a message, and the rule is in the negative rule set for a propagation, then the propagation discards the change. If a propagation has both a positive and a negative rule set, then the negative rule set is always evaluated first.

You can specify propagation rules for LCRs at the following levels:

• A table rule propagates or discards either row changes resulting from DML changes or DDL changes to a particular table. Subset rules are table rules that include a subset of the row changes to a particular table.

• A schema rule propagates or discards either row changes resulting from DML changes or DDL changes to the database objects in a particular schema.

• A global rule propagates or discards either all row changes resulting from DML changes or all DDL changes in the source queue.

A queue subscriber that specifies a condition causes the system to generate a rule. The rule sets for all subscribers to a queue are combined into a single system-generated rule set to make subscription more efficient.

Queue-to-Queue Propagations

A propagation can be queue-to-queue or queue-to-database link (queue-to-dblink). A queue-to-queue propagation always has its own exclusive propagation job to propagate messages from the source queue to the destination queue. Because each propagation job has its own propagation schedule, the propagation schedule of each queue-to-queue propagation can be managed separately. Even when multiple queue-to-queue propagations use the same database link, you can enable, disable, or set the propagation schedule for each queue-to-queue propagation separately. Propagation jobs are described in detail later in this chapter.

A single database link can be used by multiple queue-to-queue propagations. The database link must be created with the service name specified as the global name of the database that contains the destination queue.

In contrast, a queue-to-dblink propagation shares a propagation job with other queue-to-dblink propagations from the same source queue that use the same database link. Therefore, these propagations share the same propagation schedule, and any change to the propagation schedule affects all of the queue-to-dblink propagations from the same source queue that use the database link.

Ensured Message Delivery

A captured LCR is propagated successfully to a destination queue when both of the following actions are completed:

• The message is processed by all relevant apply processes associated with the destination queue.

• The message is propagated successfully from the destination queue to all of its relevant destination queues.

Any other type of message is propagated successfully to a destination queue when the enqueue into the destination queue is committed. Other types of messages include buffered LCRs, buffered user messages, persistent LCRs, and buffered user messages.

When a message is successfully propagated between two queues, the destination queue acknowledges successful propagation of the message. If the source queue is configured to propagate a message to multiple destination queues, then the message remains in the source queue until each destination queue has sent confirmation of message propagation to the source queue. When each destination queue acknowledges successful propagation of the message, and all local consumers in the source queue database have consumed the message, the source queue can drop the message.

This confirmation system ensures that messages are always propagated from the source queue to the destination queue, but, in some configurations, the source queue can become larger than an optimal size. When a source queue increases, it uses more System Global Area (SGA) memory and might use more disk space.

There are two common reasons for a source queue to become larger:

• If a message cannot be propagated to a specified destination queue for some reason (such as a network problem), then the message remains in the source queue until the destination queue becomes available. This situation could cause the source queue to become large. So, you should monitor your queues regularly to detect problems early.

• Suppose a source queue is propagating messages captured by a capture process or synchronous capture to multiple destination queues, and one or more destination databases acknowledge successful propagation of messages much more slowly than the other queues. In this case, the source queue can grow because the slower destination databases create a backlog of messages that have already been acknowledged by the faster destination databases. In such an environment, consider creating more than one capture process or synchronous capture to capture changes at the source database. Doing so lets you use one source queue for the slower destination databases and another source queue for the faster destination databases.

  See Also:

  • Chapter 2, "Oracle Streams Information Capture"

  • "Monitoring Queues and Messaging"

Directed Networks

A directed network is one in which propagated messages pass through one or more intermediate databases before arriving at a destination database. A message might or might not be processed by an apply process at an intermediate database. Using Oracle Streams, you can choose which messages are propagated to each destination database, and you can specify the route that messages will traverse on their way to a destination database. Figure 3-2 shows an example of a directed networks environment.

Figure 3-2 Example Directed Networks Environment

Description of "Figure 3-2 Example Directed Networks Environment"

The advantage of using a directed network is that a source database does not need to have a physical network connection with a destination database. So, if you want messages to propagate from one database to another, but there is no direct network connection between the computers running these databases, then you can still propagate the messages without reconfiguring your network, if one or more intermediate databases connect the source database to the destination database.

If you use directed networks, and an intermediate site goes down for an extended period of time or is removed, then you might need to reconfigure the network and the Oracle Streams environment.