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You can create a hash cluster and store tables in the cluster. Rows are retrieved according to the results of a hash function. To find any row value, all you need to do is find the hash value for a cluster s key value, which you can get by using the hash function. The hash values point to data blocks in the hash cluster, so a single I/O will get you the row data and lead to more efficient performance. When your application uses equality queries such as, say, a query that returns all rows for region 10, hash clusters are a better choice than using a normal table with indexes. The reason is that the database hashes the specified cluster key, and the hash key value directly points to the area on disk where the database has stored the rows. Here s a simple example of how you create a hash cluster: SQL> CREATE CLUSTER emp_dept(deptno NUMBER(3)) 2 TABLESPACE users 3* HASH IS deptno HASHKEYS 200; Cluster created. SQL> Once you create the hash cluster, you create the cluster tables just as you would in a regular cluster. The HASHKEYS value specifies the maximum number of unique hash values that can be generated by the hash function.



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Oracle indexes provide speedy access to table rows by storing sorted values of specified columns, and using those sorted values to easily look up the associated table rows, much the same way you use a book s index to quickly find a particular item you re interested in Indexes enable you to find a row with a certain column value without your having to look at more than a small fraction of the total rows in the table Thus, the proper use of indexes will reduce your expensive disk I/Os to a bare minimum Indexes are purely optional database structures, and they re maintained completely by Oracle Using an index involves a trade-off between speedy retrieval of query results and slower updates and insertions.





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Here are some other types of malware that you need to be aware of: Rootkits: A rootkit is a set of impostor operating system tools (tools that list the set of active processes, allow users to change passwords, etc) that are meant to replace the standard version of those tools such that the activities of an attacker that has compromised the system can be hidden Once a rootkit is successfully installed, the impostor version of the operating system tools becomes the default version A system administrator may inadvertently use the impostor version of the tools and may be unable to see processes that the attacker is running, files or log entries that result from the attacker s activity, and even network connections to other machines created by the attacker.

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The first part of the trade-off, the speedy execution of queries, is quite apparent: if you look up a sorted index rather than performing a full table scan, your queries will be faster But every time you update, insert, or delete a row in a table with indexes, the indexes have to be updated, inserted, or deleted as well This makes these processes more time consuming on a table with indexes In addition, don t forget that large tables will have large indexes, and you need a large disk to accommodate these indexes in addition to the table data In general, if your tables are mostly used for reading (selecting) data, as in a data warehouse, you are better off with more indexes If your database is more of an OLTP type, with heavy inserts, updates, and deletes, you are better off with fewer indexes.

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Unless you need to access most of the rows of a table, indexed queries often provide results much more quickly than queries that do not use indexes There is no limit to the number of indexes you can have on a single Oracle table but, as mentioned previously, there are performance implications An index is completely transparent to the user that is, the user s SQL statement does not have to be changed when you create indexes However, it is incumbent upon application developers to be well versed in the subject of indexes and how they work, so that they can build efficient queries..

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