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4 public static void main(String[] args) { 5 try { 6 if(argslength == 0) throw new Exception(); 7 } 8 catch (Exception e) { 9 Systemoutprint("done "); 10 doStuff(); // assume this method compiles 11 } 12 finally { 13 Systemoutprintln("finally "); 14 } 15 }

Before this statement can be executed, the Oracle server has to work out what it means, and how to execute it To begin with, what is employees Is it a table, a synonym, or a view Does it even exist Then the * what are the columns that

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Which are possible outputs (Choose all that apply) A "done " B "finally " C "done finally " D Compilation fails E No output is produced

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make up the employees table (if it is a table) Does the user have permission to see the table Answers to these questions and many others have to be found by querying the data dictionary The algorithm used to find SQL in the library cache is based on the ASCII values of the characters that make up the statement The slightest difference (even something as trivial as SELECT instead of select) means that the statement will not match but will be parsed again Having worked out what the statement actually means, the server has to decide out how best to execute it Is there an index on the last_name column If so, would it be quicker to use the index to locate the row, or to scan the whole table More queries against the data dictionary It is quite possible for a simple one-line query against a user table to generate dozens of queries against the data dictionary, and for the parsing of a statement to take many times longer than eventually executing it The purpose of the library cache of the shared pool is to store statements in their parsed form, ready for execution The first time a statement is issued, it has to be parsed before execution the second time, it can be executed immediately In a well-designed application, it is possible that statements may be parsed once and executed millions of times This saves a huge amount of time

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The data dictionary cache is sometimes referred to as the row cache Whichever term you prefer, it stores recently used object definitions: descriptions of tables, indexes, users, and other metadata definitions Keeping such definitions in memory in the SGA, where they are immediately accessible to all sessions, rather than each session having to read them repeatedly from the data dictionary on disk, enhances parsing performance The data dictionary cache stores object definitions so that when statements do have to be parsed, they can be parsed fast without having to query the data dictionary Consider what happens if these statements are issued consecutively:

51 Given:

select sum(salary) from employees; select * from employees where last_name='KING';

2 3 4 5 6 7 8 9 10 11 12 public class Clover extends Harrier { String bark() { return "feed me "; } public static void main(String[] args) { Dog[] dogs = new Dog[3]; dogs[0] = new Harrier(); dogs[1] = (Dog)new Clover(); dogs[2] = (Dog)new Harrier(); for(Dog d: dogs) Systemoutprint(dbark()); } } class Dog { String bark() { return "bark "; } } class Harrier extends Dog { String bark() { return "woof "; } }

Both statements must be parsed because they are different statements but parsing the first SELECT statement will have loaded the definition of the employees table and its columns into the data dictionary cache, so parsing the second statement will

What is the result (Choose all that apply) A bark bark bark B woof bark bark C woof feed me woof D Compilation fails due to an error on line 6 E Compilation fails due to an error on line 7 F Compilation fails due to an error on line 8 G Compilation fails due to an error on line 9 52 Given:

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