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The landscape of enterprise software today is populated with thousands of different systems that need to talk to each other reliably I m not specifically referring to the communication standards or protocols that allow heterogeneous applications to share data, but rather to the underlying technologies that these applications use to send and receive data Even homogeneous applications residing in the same server would command the same necessity For example, sending data between two processes, a Windows Service and a web application Most developers have learned that this task might not turn out to be as simple as they d thought it to be In the past, developers would open TCP/IP sockets between two applications so that they could send data to one another Pipes were another alternative provided by Microsoft These various methods suffered from various problems the biggest complaint being that they were extremely messy and difficult to program.



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/u01/app/oraInventory/orainstRoot.sh /u01/app/11.2.0/grid/root.sh /u01/app/11.2.0/grid/root.sh /u01/app/11.2.0/grid/root.sh /u01/app/11.2.0/grid/root.sh

s We ve written SELECT and FROM in capital letters, simply to indicate they re SQL keywords. SQL isn t Tip

It is particularly important that the root.sh scripts be executed in the specified order because the final script (london4, in this case) performs additional configuration after the OCR has been initialized on all nodes in the cluster.





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When Microsoft introduced message queuing via the Microsoft Messaging Queue (MSMQ) server component, it provided developers another interesting concept for data sharing: an application would send a message to a remote queue server (via the MSMQ API), and the intended recipient could then retrieve it from this queue This simple idea allowed applications to receive data even when they were offline because the messages could be temporarily stored in a queue and read any time the intended application went online Oracle provides a similar feature, known as Advanced Queuing (AQ) that extends this same concept to the database: it uses the Oracle database as a temporary storage area for queue messages Since these messages are stored in a table like any other ordinary table in Oracle, all the features of the Oracle database (for instance, indexing) could be applied on this message store.

The orainstRoot.sh script initializes the Oracle inventory on the local node. It performs the following actions: Creates the directory (e.g., /u01/app/oraInventory) Creates the subdirectories Creates /etc/oraInst.loc, which contains the location of the Oracle inventory Sets the owner and group permission for the inventory files.

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case sensitive, and keywords are typically written in lowercase in code. In T-SQL, queries are called SELECT statements, but the ISO/ANSI standard clearly distinguishes queries from statements. The distinction is conceptually important. A query is an operation on a table that produces a table as a result; statements may (or may not) operate on tables and don t produce tables as results. Further, subqueries can be used in both queries and statements. So, we ll typically call queries queries instead of SELECT statements. Call queries whatever you prefer, but keep in mind that queries are special elements of SQL.

In this chapter, you will learn the basics of using AQ to send and receive messages between different applications, specifically: How to create queues via SQL*Plus How to pass data from one application to another using ODPNET s enqueue and dequeue functionality How to use RAW, XML, and UDT data types for messaging queuing How to dequeue a message synchronously and asynchronously.

A sample orainstRoot.sh script looks like this: [root@london1 oracle]# /u01/app/oraInventory/orainstRoot.sh Changing permissions of /u01/app/oraInventory. Adding read,write permissions for group. Removing read,write,execute permissions for world. Changing groupname of /u01/app/oraInventory to oinstall. The execution of the script is complete.

The root.sh script configures the Clusterware daemons on each node. On the first node, root.sh initializes the OCR. On the remaining nodes, root.sh adds the new node to the OCR. On the final node, root.sh also configures the VIP addresses for all nodes in the OCR. It is essential that root.sh be run successfully on the final node after it has been executed on all other nodes. On the first node in the cluster, the output of root.sh looks like this:

Using two keywords, SELECT and FROM, here s the simplest possible query that gets all the data from the Employees table:

In the world of AQ, there are two basic terms you will need to be familiar with: enqueue and dequeue. Enqueuing refers to the act of adding (or sending) a message to a queue. Dequeuing refers to the act of removing or retrieving the message from a queue. Figure 9-1 briefly summarizes how AQ works.

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