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As you know, views are the product of a query on some database table(s). The DBA_VIEWS dictionary view provides you with the SQL query that underlies the views. Listing 7-23 shows how to get the text of a view, OC_CUSTOMERS, owned by user oe.
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To ensure you see the whole text of the view when you use the DBA_VIEWS view, set the long variable to a large number (for example, SET LONG 2000). Otherwise, you ll see only the first line of the view definition.
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Listing 7-23. Getting the Source for a View Using the DBA_VIEWS View SQL> SQL> 2 3 4* SET LONG 2000 SELECT text FROM DBA_VIEWS WHERE view_name ='OC_CUSTOMERS' AND owner = 'OE';
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TEXT -------------------------------------------------SELECT c.customer_id, c.cust_first_name, c.cust_last_name, c.cust_address, c.phone_numbers,c.nls_languag e,c.nls_territory,c.credit_limit, c.cust_email, CAST(MULTISET(SELECT o.order_id, o.order_mode, MAKE_REF( oc_customers,o.customer_id),
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CHAPTER 7 SCHEMA MAN AGEM ENT
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o.order_status,o.order_t otal,o.sales_rep_id, CAST(MULTISET(SELECT l.order_id,l.line_item_id, l.unit_price,l.quantity, MAKE_REF(oc_product_information, l.product_id) FROM order_items l WHERE o.order_id = l.order_id) AS order_item_list_typ) FROM orders o WHERE c.customer_id = o.customer_id) AS order_list_typ) FROM customers c SQL>
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The DBA_MVIEWS dictionary view tells you all about the materialized views in your database, including whether the query rewrite feature is enabled or not on the views. Listing 7-24 shows you how to use this view. Listing 7-24. Using the DBA_MVIEWS View SQL> 2 3 4 5 6 7 8* SELECT mview_name, query, updatable, rewrite_enabled, refresh_mode, refresh_method FROM dba_mviews;
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/* whether query rewrite is enabled */ /* demand,commit, or never */ /* complete,force, fast, or never */
MVIEW_NAME ---------------MONTH_SALES_MV PCAT_SALES_MV SQL>
QUERY ---------------------------SELECT t.calendar_month_desc SELECT t.week_ending_day
UPD ---N N
REW ---Y Y
REFR REFRESH_ME --------------DEMAND FORCE DEMAND COMPLETE
DBA_INDEXES
You can use the DBA_INDEXES dictionary view to find out just about everything you need to know about the indexes in your database, including the index name, index type, and the table and tablespace an index belongs to. Certain columns, such as BLEVEL (tells you the level of the B-tree index) and DISTINCT_KEYS (number of distinct index key values), are populated only if you ve collected statistics for the index using the DBMS_STATS package.
DBA_IND_COLUMNS
The DBA_IND_COLUMNS view is similar to the DBA_CONS_COLUMNS view in structure, and it provides information on all the indexed columns in every table. This is important during SQL performance tuning when you notice that the query is using an index, but you aren t sure exactly on which columns the index is defined. The query in Listing 7-25 may reveal that the table has indexes on the wrong columns after all.
CHAPTER 7 SCHEMA MAN AGEM ENT
Listing 7-25. Querying the DBA_IND_COLUMNS View SQL> 2 3 4 5 6* SELECT index_name, table_name, column_name, column_position FROM DBA_IND_COLUMNS WHERE table_owner='OE'; TABLE_NAME ----------CUSTOMERS CUSTOMERS CUSTOMERS INVENTORIES INVENTORIES INVENTORIES ORDERS ORDERS ORDERS COLUMN_NAME ---------------ACCOUNT_MGR_ID CUST_LAST_NAME CUST_EMAIL PRODUCT_ID WAREHOUSE_ID PRODUCT_ID ORDER_ID SALES_REP_ID CUSTOMER_ID COLUMN_POSITION --------------1 1 1 1 2 1 1 1 1
INDEX_NAME ----------------------CUST_ACCOUNT_MANAGER_IX CUST_LNAME_IX CUST_EMAIL_IX INVENTORY_PK INVENTORY_PK INV_PRODUCT_IX ORDER_PK ORD_SALES_REP_IX ORD_CUSTOMER_IX SQL>
Tip
You can identify composite keys easily by looking in the INDEX_NAME column. If the same INDEX_NAME entry appears more than once, it s a composite key, and you can see the columns that are part of the key in the COLUMN_NAME column. For example, INVENTORY_PK is the primary key of the INVENTORIES table and is defined on two columns: PRODUCT_ID and WAREHOUSE_ID. You can glean the order of the two columns in a composite key by looking at the COLUMN_POSITION column.
INDEX_STATS
The INDEX_STATS view is useful for seeing how efficiently an index is using its space. Large indexes have a tendency to become unbalanced over time if many deletions are in the table (and therefore index) data. Your goal is to keep an eye on those large indexes with a view to keeping them balanced. Note that the INDEX_STATS view is populated only if the table has been analyzed by using the ANALYZE command, as follows: SQL> ANALYZE index hr.emp_name_ix VALIDATE STRUCTURE; Index analyzed. The query in Listing 7-26 using the INDEX_STATS view helps determine whether you need to rebuild the index. In the query, you should focus on the following columns in the INDEX_STATS view to determine if your index is a candidate for a rebuild: HEIGHT: This column refers to the height of the B-tree index, and it s usually at the 1, 2, or 3 level. If large inserts push the index height beyond a level of 4, it s time to rebuild, which flattens the B-tree. DEL_LF_ROWS: This is the number of leaf nodes deleted due to the deletion of rows. Oracle doesn t rebuild indexes automatically and, consequently, too many deleted leaf rows can lead to an unbalanced B-tree. BLK_GETS_PER_ACCESS: You can look at the BLK_GETS_PER_ACCESS column to see how much logical I/O it takes to retrieve data from the index. If this row shows a double-digit number, you should probably start rebuilding the index.
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