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incorrect! It is doubtful the table will have 0 rows in it at runtime. So, if you use this approach, be aware of two things: Make sure to populate your global temporary tables with representative data in the session that gathers the statistics. If not, they will appear empty to DBMS_STATS. If you have ON COMMIT DELETE ROWS global temporary tables, this approach should not be used, as you will definitely gather inappropriate values.

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Stop hackers dead in their tracks by securing your systems and network That has been our mantra up to this point However, there is another piece in the security pie that often goes unexamined Any conversation about security on a system or network must go beyond discussing the prevention of unauthorized access and into backup, because the capacity to recover data minimizes the potential impact of an attack Securing the data on these systems with a reliable data backup scheme is a crucial element in any security framework As digital assets become increasingly valuable, organizations are becoming more and more reliant on their data Many companies have invested large amounts of labor in building their company data.

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The second technique that works with ON COMMIT PRESERVE ROWS global temporary tables is to use GATHER_TABLE_STATS directly on the table. You would populate the global temporary table as we just did, and then execute GATHER_TABLE_STATS on that global temporary table. Note that just as before, this does not work for ON COMMIT DELETE ROWS global temporary tables, as the same issues as just described would come into play. The last technique using DBMS_STATS uses a manual process to populate the data dictionary with representative statistics for our temporary tables. For example, if on average the number of rows in the temporary table will be 500, the average row size will be 100 bytes, and the number of blocks will be 7, we could simply use the following: ops$tkyte@ORA11GR2> create global temporary table t ( x int, y varchar2(100) ); Table created. ops$tkyte@ORA11GR2> begin 2 dbms_stats.set_table_stats( ownname 3 tabname 4 numrows 5 numblks 6 avgrlen 7 end; 8 / PL/SQL procedure successfully completed. => => => => => USER, 'T', 500, 7, 100 );

7. This describes the site features as of when this chapter was written, when Commentful was still in beta.

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If they were to suffer a catastrophic loss of data (for some this could mean as little as 30%), due to the number of hours it would take to re-create that data, it would prove impossible to rebuild, and would simply cause them to go out of business Therefore, backing up data is very important in any security footprint and critical in any organization When developing a backup schematic, you should answer some important questions that start with the following(there are more but this is a good start): What is the source data to be backed up To what destination device is the data to be backed up How far back in time will the backups need to go As we move through this chapter, we will examine how backups are performed for a variety of software packages.

ops$tkyte@ORA11GR2> select table_name, num_rows, blocks, avg_row_len 2 from user_tables 3 where table_name = 'T'; TABLE_NAME NUM_ROWS BLOCKS AVG_ROW_LEN ------------------------------ ---------- ---------- ----------T 500 7 100 Now, the optimizer won t use its best guess it will use our best guess for this information.

Temporary tables can be useful in an application where you need to temporarily store a set of rows to be processed against other tables, for either a session or a transaction. They are not meant to be used as a means to take a single larger query and break it up into smaller result sets that would be combined back together (which seems to be the most popular use of temporary tables in other databases). In fact, you will find in almost all cases that a single query broken up into smaller temporary table queries performs more slowly in Oracle than the single query would have. I ve seen this behavior time and time again, when given the opportunity to rewrite the series of INSERTs into temporary tables as SELECTs in the form of one large query, the resulting single query executes much faster than the original multi-step process.

We will start by discussing the most simplistic backup topology and work our way up to more complicated backup schemas, including faulttolerant solutions This will allow you to see the increasing complexity and weigh it against your needs to eventually choose which is best for you Once you have a backup solution that you trust, you should continue to refer to this chapter, because as your needs increase, so will the complexity of your backup topology Backing up a computer.