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select * from colocated a100 where x between 20000 and 40000 Rows Row Source Operation ------- --------------------------------------------------20001 TABLE ACCESS BY INDEX ROWID COLOCATED (cr=684 pr=0 pw=0 ..) 20001 INDEX RANGE SCAN COLOCATED_PK (cr=245 pr=0 pw=0 .. The first query was executed with the ARRAYSIZE of 15, and the (cr=nnnn) values in the Row Source Operation shows we performed 1,374 logical I/Os against the index and then 1,625 logical I/Os against the table (2,899 1,374; the numbers are cumulative in the Row Source Operation steps) When we increased the ARRAYSIZE to 100 from 15, the amount of logical I/O against the index dropped to 245, which was the direct result of not having to reread the index leaf blocks from the buffer cache every 15 rows, but only every 100 rows To understand this, assume that we were able to store 200 rows per leaf block.

Next we assign the process ID of the current process's parent to the appropriate element of the ppid (parent pid) array. Then we do the same for the command array, which holds the commands being executed by each running process. The difference here is that the command being run isn t necessarily a simple value. The command could be just one word, or it could be quite long. The array-assignment statement pipes the line variable s current value to an awk script, which outputs the fields of the ps output line for this process, starting from the eighth field. This is done using a loop controlled by NF (number of fields), since it cannot be known in advance how many whitespace-separated fields the command will occupy. What is known is that the elements of the command string start at the eighth field of the ps output. Keep in mind that if you change the switches given to the ps command that generates this output, you may need to modify the awk statement to reflect the new output format. The last assignment is a bit tricky. The children array is indexed by the pid and each of its elements contains a list of the pids of the corresponding process s children.

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As we are scanning through the index reading 15 rows at a time, we would have to retrieve the first leaf block 14 times to get all 200 entries off it On the other hand, when we array fetch 100 rows at a time, we need to retrieve this same leaf block only two times from the buffer cache to exhaust all of its entries The same thing happened in this case with the table blocks Since the table was sorted in the same order as the index keys, we would tend to retrieve each table block less often, as we would get more of the rows from it with each fetch call So, if this was good for the COLOCATED table, it must have been just as good for the DISORGANIZED table, right Not so.

Pointer to an array of column descriptors Number of columns in the table Index of the key column Size of a record in the table

The results from the DISORGANIZED table would look like this: select /*+ index( a15 disorganized_pk ) */ * from disorganized a15 where x between 20000 and 40000 Rows ------20001 20001 Row Source Operation --------------------------------------------------TABLE ACCESS BY INDEX ROWID DISORGANIZED (cr=21357 pr=0 pw=0 .. INDEX RANGE SCAN DISORGANIZED_PK (cr=1374 pr=0 pw=0 ....

children[${ppid[$pid]}]="${children[${ppid[$pid]}]} $pid"

select /*+ index( a100 disorganized_pk ) */ * from disorganized a100 where x between 20000 and 40000 Rows ------20001 20001 Row Source Operation --------------------------------------------------TABLE ACCESS BY INDEX ROWID OBJ#(75652) (cr=20228 pr=0 pw=0 ... INDEX RANGE SCAN OBJ#(75653) (cr=245 pr=0 pw=0 time=20281 us)(...

Column descriptors, to which the pColDefs fields of table descriptors point, have the structure described in Table 5-7. Table 5-7. Metadata Table Column Descriptor Structure

The results against the index here were identical, which makes sense, as the data is stored in the index is just the same regardless of how the table is organized. The logical I/O went from 1,374 for a single execution of this query to 245, just as before. But overall the amount of logical I/O performed by this query did not differ significantly: 21,357 versus 20,281. The reason The amount of logical I/O performed against the table did not differ at all if you subtract the logical I/O against the index from the total logical I/O performed by each query, you ll find that both queries did 19,983 logical I/Os against the table. This is because every time we wanted N rows from the database the odds that any two of those rows would be on the same block was very small there was no opportunity to get multiple rows from a table block in a single call. Every professional programming language I have seen that can interact with Oracle implements this concept of array fetching. In PL/SQL, you may use BULK COLLECT or rely on the implicit array fetch of 100 that is performed for implicit cursor for loops. In Java/JDBC, there is a prefetch method on a connect or statement object. Oracle Call Interface (OCI; a C API) allows you to programmatically set the prefetch size, as does Pro*C. As you can see, this can have a material and measurable affect on the amount of logical I/O performed by your query, and it deserves your attention.

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