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Control: Which process is in charge of the interaction Which one is responsible for initiating it Can the interaction be aborted If so, by which process Is one of the processes responsible for monitoring the progress of the interaction Which process decides when the interaction terminates Timing: When sending messages, can the sender wait forever for a response Can the sender continue with other work while waiting for a response Does the sender require a response within a certain time frame Can the receiver accept other messages while processing a prior one Flow: Is information sent in a single exchange, or it is broken down into an iteration of smaller ones If an iterative flow is used, how is the end of the iteration signaled Looking at different kinds of software systems, it becomes apparent that there are recurring ways that processes interact in terms of communication mechanics, assumptions made by the communicating parties, goals of the sender, overall timing, and so on.

The data dictionary contains metadata about your database. The data dictionary tables and the views based on them are called static, because the running database instance doesn t modify data in these tables and views. The tables and views are modified only if you make a change to the data dictionary itself; for example, by creating a table or a new user. No matter whether you manage the database manually or use sophisticated GUI-based management tools, the data dictionary (along with the dynamic performance tables) is the source for all information about the database. Because there are hundreds of data dictionary views, I can t cover every one of them in this chapter, but you ll look into how you can use the important views to manage your database. For convenience, I divide the key data dictionary views into the following categories: General views User management related views Audit-related views Storage-related views Views for monitoring transactions Constraint- and index-related views Views for managing database objects (such as sequences and synonyms)

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Views for managing tables and views AWR-related, ADDM-related, and alerts-related views Views relating to the advisory framework The following sections cover the most important data dictionary views of Oracle Database 10g. You ll first examine the structure of each of these views, and then you ll see how you can query them to find out useful things about the various aspects of the database.

The Large pool is not so named because it is a large structure (although it may very well be large in size) It is so named because it is used for allocations of large pieces of memory that are bigger than the Shared pool is designed to handle Prior to the introduction of the Large pool in Oracle 80, all memory allocation took place in the Shared pool This was unfortunate if you were using features that made use of large memory allocations such as shared server UGA memory allocations This issue was further complicated by the fact that processing, which tended to need a lot of memory allocation, would use the memory in a different manner than the way in which the Shared pool managed it The Shared pool manages memory on a LRU basis, which is perfect for caching and reusing data.

A collection of general dictionary views provides information about the global name and instance parameters. For example, the GLOBAL_NAME view shows the global name of the database. The DBA_CATALOG view contains the names of all tables, views, synonyms, and sequences in the database. The following sections cover some of the more useful general data dictionary views.

I ll call these recurrences interaction patterns, and I ll show that they describe situations that are extremely common, not just in software systems but in everyday life The patterns presented in this chapter are based on a paper I presented at a patterns workshop in the summer of 19981 I ve renamed some patterns to give them a broader characterization In keeping with the conventions adopted by popular patterns handbooks, I ll begin each pattern with a synopsis box, describing the context in which the pattern applies A list of forces follows, describing the system constraints that the pattern must deal with Each pattern has at least two examples, depicting an occurrence in everyday life and in a software system..

Dict is short for dictionary, and it s a view that has all the dictionary table names and their descriptions. Because Dict includes the USER-, ALL-, and DBA-prefixed tables, it includes more than 1,800 tables. However, if you ever forget the name of a data dictionary view, you can use Dict to find out the view s name. The following code shows the results of a query using the Dict view: SQL> SELECT * FROM dict WHERE table_name LIKE '%LINKS%' TABLE_NAME COMMENTS -------------------------------------------------------------------ALL_DB_LINKS Database links accessible to the user DBA_DB_LINKS All database links in the database USER_DB_LINKS Database links owned by the user SQL> If you ever aren t sure of the name of a certain data dictionary view, just use the DICT view to query for the name, as shown in the preceding example.

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