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The HASHED implementation simply converted the OBJECT_ID passed into the query into a FILE/BLOCK to be read and read it no index. The HEAP table, however, had to do two I/Os on the index for each row. The cr=2 in the TKPROF Row Source Operation line shows us exactly how many consistent reads were done against the index. Each time I looked up OBJECT_ID = :B1, Oracle had to get the root block of the index and then find the leaf block containing the location of that row. Then, I had to take the leaf block information, which included the ROWID of that row, and access that row in the table for a third I/O. The HEAP table did three times the I/O of the HASHED implementation. The points of interest here are as follows: The hash cluster did significantly less I/O (query column). This is what we anticipated. The query simply took the random OBJECT_IDs, performed the hash on them, and went to the block. The hash cluster has to do at least one I/O to get the data. The conventional table with an index had to perform index scans followed by a table access by rowid to get the same answer. The indexed table has to do at least three I/Os in this case to get the data.

1 row created ops$tkyte%ORA11GR2> commit; Commit complete The pw table looks like a pretty important table, but remember, users do not know it exists However, they do have access to the INJ routine: ops$tkyte%ORA11GR2> grant execute on inj to scott; Grant succeeded So the evil developer/user, can simply execute: scott%ORA11GR2> alter session set 2 nls_date_format = '"''union select tname,0,null from tab--"'; Session altered scott%ORA11GR2> exec ops$tkyteinj( sysdate ) select * from all_users where created = ''union select tname,0,null from tab--' USER_PW.... PL/SQL procedure successfully completed Now, that NLS_DATE_FORMAT is interesting most people don t even know you can include character string literals with the NLS_DATE_FORMAT (Heck, many people don t even know you can change the date format like that even without this trick.

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) What the malicious user did here was to trick your code into querying a table you did not intend him to query using your set of privileges The TAB dictionary view limits its view to the set of tables the current schema can see When users run the procedure, the current schema used for authorization is the owner of that procedure (you, in short, not them) They can now see what tables reside in that schema They see that table USER_PW and say hmmm, sounds interesting So, they try to access that table: scott%ORA11GR2> select * from ops$tkyteuser_pw; select * from ops$tkyteuser_pw * ERROR at line 1: ORA-00942: table or view does not exist The malicious user can t access the table directly; he lacks the SELECT privilege on the table Not to worry, however, there is another way.

If you have written code that uses other relational databases, you may have written code that used multiple connections within a single block of code. The classic example is having one connection iterate over a table while another connection modifies records in place. In SQLite, using multiple connections in the same block of code can cause problems. You have to be careful of how you go about it. Consider the following example: c1 = open('foods.db') c2 = open('foods.db') stmt = c1.prepare('select * from episodes') while stmt.step() print stmt.column('name') c2.exec('update episodes set <some columns, criteria, etc.>) end stmt.finalize() c1.close() c2.close() We bet you can easily spot the problem here. In the while loop, c2 attempts an update, while c1 has a SHARED lock open. That SHARED lock won t be released until stmt is finalized after the while loop. Therefore, it is impossible to write to the database within the while loop. Either the updates will silently fail, or if you have a busy handler, then it will only delay the program. The best thing to do here is to use one connection for the job and to run it under a single begin immediate transaction. The new version might be as follows: c1 = open('foods.db') # Keep trying until we get it while c1.exec('begin immediate') != SQLITE_SUCCESS end stmt = c1.prepare('select * from episodes')

The user wants to know about the columns in the table Here s one way to find out more about the table s structure: scott%ORA11GR2> alter session set 2 nls_date_format = '"''union select tname||cname,0,null from col--"'; Session altered scott%ORA11GR2> exec ops$tkyteinj( sysdate ) select * from all_users where created = ''union select.

Calculated items and calculated fields are calculated differently. For calculated items, the individual records in the source data are calculated, and then the results are summed. For example, if you create a Tax item that multiplies the Shipped Total by 7 percent, the value in each record is multiplied by 7 percent, and then the individual tax amounts are summed for the Grand Total. For calculated fields, the individual amounts are summed, and then the calculation is performed on the total amount.

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