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Figure 4-7. The structure of an index is based on a B+-tree. The following query shows how to get the most important index statistics for a table: SQL> SELECT index_name AS name, 2 blevel, 3 leaf_blocks AS leaf_blks, 4 distinct_keys AS dst_keys, 5 num_rows, 6 clustering_factor AS clust_fact, 7 avg_leaf_blocks_per_key AS leaf_per_key, 8 avg_data_blocks_per_key AS data_per_key 9 FROM user_ind_statistics 10 WHERE table_name = 'T'; NAME BLEVEL LEAF_BLKS DST_KEYS NUM_ROWS CLUST_FACT LEAF_PER_KEY DATA_PER_KEY ---------- ------ --------- -------- -------- ---------- ------------ -----------T_VAL2_I 1 2 6 1000 153 1 25 T_VAL1_I 1 2 431 497 479 1 1 T_PK 1 2 1000 1000 980 1 1 The index statistics returned by this query are as follows: blevel is the number of branch blocks to be read, including the root block, in order to access a leaf block. leaf_blocks is the number of leaf blocks of the index. distinct_keys is the number of distinct keys in the index. num_rows is the number of keys in the index. For primary keys, this is the same as distinct_keys.

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Start the Parser Method: Having implemented our delegate methods, we would need to do three things: 1. Code the parser method. Put it into a method we could call (void)viewWillAppear. This would get called on by a view controller when its view is about to be displayed. If we were to do it this way, note that we would always want to call in our - (void)viewWillAppear method. Create an instance of our parser that we would call GratefuldeadParser. With this, we d get GratefuldeadParser *parser = [GratefuldeadParser gratefuldeadParser]. We want to make ourselves the delegate, which means that, now, GratefuldeadParser parser.delegate = self. Two actions in this step: first, tell the parser to get the Gratefuldead data: Second, handle its import:

#import "GratefuldeadParser.h"

79 82 8 8 44 44 13 13 27 27 3

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clustering_factor indicates how many adjacent index entries do not refer to the same data block in the table. If the table and the index are sorted similarly, the clustering factor is low. The minimum value is the number of nonempty data blocks in the table. If the table and the index are sorted differently, the clustering factor is high. The maximum value is the number of keys in the index. I ll discuss the performance impact of these statistics in 9. The following PL/SQL function, which is available in the script clustering_ factor.sql, illustrates how it is computed. Note that this function works only for singlecolumn B-tree indexes. CREATE OR REPLACE FUNCTION clustering_factor ( p_owner IN VARCHAR2, p_table_name IN VARCHAR2, p_column_name IN VARCHAR2 ) RETURN NUMBER IS l_cursor SYS_REFCURSOR; l_clustering_factor BINARY_INTEGER := 0; l_block_nr BINARY_INTEGER := 0; l_previous_block_nr BINARY_INTEGER := 0; l_file_nr BINARY_INTEGER := 0; l_previous_file_nr BINARY_INTEGER := 0; BEGIN OPEN l_cursor FOR 'SELECT dbms_rowid.rowid_block_number(rowid) block_nr, '|| ' dbms_rowid.rowid_to_absolute_fno(rowid, '''|| p_owner||''','''|| p_table_name||''') file_nr '|| 'FROM '||p_owner||'.'||p_table_name||' '|| 'WHERE '||p_column_name||' IS NOT NULL '|| 'ORDER BY ' || p_column_name; LOOP FETCH l_cursor INTO l_block_nr, l_file_nr; EXIT WHEN l_cursor%NOTFOUND; IF (l_previous_block_nr <> l_block_nr OR l_previous_file_nr <> l_file_nr) THEN l_clustering_factor := l_clustering_factor + 1; END IF; l_previous_block_nr := l_block_nr; l_previous_file_nr := l_file_nr; END LOOP; CLOSE l_cursor; RETURN l_clustering_factor; END;

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[parser getGratefuldeadData];

With even fewer additions than in 2, these four packages add next to nothing to the core libraries. There are certainly adjustments to existing classes, too, but just not new classes and interfaces here. You can even throw in the java.rmi and javax.rmi packages, as there are even fewer changes with RMI (Remote Method Invocation) libraries.

Then, when the - (void)viewWillAppear is invoked, it would create an instance of GratefuldeadParser. As it receives the locations of all the Deadheads, it shows us where they are! Do you recall how we made sure that the user of the app would appear on the map as a blue dot I want you to think of the blue dot as just an annotation view. When it is added to the deadView, it essentially asks its delegate for the location of itself. NOTE: If we return anything other than nil, then our annotation view, instead of the blue one, will be used and then return that view. So, looking at this, we return nil when the annotation does not equal the user s current location.

Outside of the Console class covered in 2, the only java.io package changes worth mentioning are changes to file system access and manipulation within the File class, and the deprecation of its toURL() method. Personally, I ve been playing in the J2ME space lately. One of the things you can do there is ask a file partition how much space is available. Prior to Mustang, this information was not available, short of forking off a subprocess to run a platform-specific command or adding in some native code. Now, in Java 6, you can find this out with getUsableSpace() and getTotalSpace(). Between the two, you can show how much space each file system has available and has in total. Listing 3-1 does this for each available file system partition.

Notice how the values it generates match the statistics stored in the data dictionary: SQL> 2 3 4 5 SELECT i.index_name, i.clustering_factor, clustering_factor(user, i.table_name, ic.column_name) AS my_clstf FROM user_indexes i, user_ind_columns ic WHERE i.table_name = 'T' AND i.index_name = ic.index_name;

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