Problem:You want to monitor the usage of the temporary tablespace in Oracle.Solution:We can use the following query to find out the used and free space in a temporary tablespace.We will begin with identifying temporary table space names.ExampleSELECT tablespace_name FROM dba_tablespaces WHERE contents = 'TEMPORARY';OutputTEMPNext up we will use below SQL to identify the used and free space in temporary tablespace.ExampleSELECT * FROM   (SELECT a.tablespace_name,     SUM(a.bytes/1024/1024) allocated_mb   FROM dba_temp_files a   WHERE a.tablespace_name = 'TEMP'   GROUP BY a.tablespace_name   ) x,   (SELECT SUM(b.bytes_used/1024/1024) used_mb,     SUM(b.bytes_free      /1024/1024) free_mb   FROM v$temp_space_header b ... Read More

Problem:You want to find out the recent important waits in your database, as well as the users, SQL statements, and objects that are responsible for most of those waits.SolutionOracle provides us with V$ACTIVE_SESSION_HISTORY to get information about the most common wait events, and the SQL statements, database objects, and users responsible for those waits.SQL to find the wait eventsExampleSELECT event,   SUM(wait_time + time_waited) total_wait_time FROM v$active_session_history GROUP BY event ORDER BY total_wait_time DESC;To find out the users who experienced the most waits we can use below SQL.ExampleSELECT s.sid,   s.username,   SUM(a.wait_time + a.time_waited) total_wait_time FROM v$active_session_history a,   ... Read More

Problem:You’d like to identify the blocking and the blocked sessions in your database.SolutionWhen we see an enqueue wait event in an Oracle database, the chances are that there is some thing locking or holding up some sessions from executing their SQL statements. When a session waits on an “enqueue” wait event, that session is waiting for a lock that is held by a different session. We can issue the following command to view information about the blocked and the blocking sessions in ORacle.ExampleSELECT DECODE(request, 0, 'Holder: ', 'Waiter: ') || sid sess,   id1,   id2,   lmode,   request, ... Read More

Problem:You want to use GROUPING() with ROLLUP, CUBE and SETS functions.SolutionThe GROUPING() function accepts a column and returns 0 or 1. This function returns 1 when the column value is null and returns 0 when the column value is non null. However, GROUPING() is used only in queries that use ROLLUP or CUBE. GROUPING() is very useful when you want to display a value when a null would otherwise be returned.GROUPING() with a Single Column in a ROLLUPSQL to pass a column to ROLLUPThe last row in the below example will result total/sum of fees. This total is represented as ... Read More

Problem:You want to identify the SQL statements responsible for the most waits in your database.SolutionWe can use below SQL statement to identify SQL causing problem.The below query will rank SQL statements that ran during the past 30 minutes and display them as per the total time waited by each query.ExampleSELECT ash.user_id,   u.username,   s.sql_text,   SUM(ash.wait_time + ash.time_waited) ttl_wait_time FROM v$active_session_history ash,   v$sqlarea s,   dba_users u WHERE ash.sample_time BETWEEN sysdate - 60/2880 AND sysdate AND ash.sql_id  = s.sql_id AND ash.user_id = u.user_id GROUP BY ash.user_id,   s.sql_text,   u.username ORDER BY ttl_wait_time ;When you have a performance ... Read More

Problem:You want to gather extended explain plan statistics for a specific query.SolutionWe can use the GATHER_PLAN_STATISTICS hint. This hint when placed within a query at runtime, will generate extended runtime statistics. It basically have two steps.Execute the query with the gather_plan_statistics hint.Use dbms_xplan.display_cursor to display the results.ExampleSELECT /*+ gather_plan_statistics */       city,       round(avg(fees)) avg_fees,       min(fees) min_fees,       max(fees) max_fees  FROM students e, departments d, locations l WHERE e.department_id = d.department_id   AND l.location_id = d.location_id GROUP BY city;OutputSouthlake   5760    4200    9000 Seattle     10701   6900 ... Read More

Problem:You have a performance issue with a queryhaving JOIN conditions on multiple tables, and you wish to override the join type by placing the appropriate hint in the query.Solution:There are three possible types of joins: nested loops, hash, and sort merge.Nested Loops Join Hint:  To invoke a nested loops join, use the USE_NL hintExampleEXPLAIN PLAN FOR SELECT /*+ use_nl(students, departments)  */  first_name, department_name   FROM students e, departments d  WHERE e.department_id = d.department_id;   SELECT * FROM table(DBMS_XPLAN.DISPLAY (FORMAT=>'BASIC'));Output---------------------------------------------------------- | Id  | Operation                    | Name             ... Read More

Problem:You have a performance issue with a queryhaving JOIN conditions on multiple tables, and the Oracle optimizer is not choosing the join order you wanted.Solution:Oracle has two hints the ORDERED hint, and the LEADING hint that can be used to influence the join order used within a query.ORDERED HintYou are running a SQL to join two tables, student and departments, as you want to get the department names for each student. By placing an ORDERED hint into the query, you can see how the hint alters the execution access path.ExampleEXPLAIN PLAN FOR SELECT first_name, department_name   FROM students e, departments ... Read More

Problem:You wanted to generate a data model from data dictionary tables in OracleSolution:The Oracle data dictionary is a collection of tables and related views that enable us to view the structure of the Oracle database. By querying these tables and views, we can obtain information about every object and every user of the database.IntroductionThe data dictionary is packaged with a series of views owned by the SYS user. These views, known as static data dictionary views, present information contained in tables that are updated when Oracle processes a Data Definition Language (DDL) statement.There is a second set of views known ... Read More

Problem:You wanted to know the difference between Union ALL and Insert ALL to generate small amounts of data.Solution:I have been recently generating small amounts of data for testing some functionality and came across a couple of options in Oracle. Union All and Insert All are two options commonly used for generating small amounts of data in Oracle.The most common set operators in Oracle are UNION and UNION ALL. These operators are used to combine sets of data, even if there are no relationships between these sets.UNION creates a distinct set, whereas UNION ALL allows for duplicates. Removing duplicates can have ... Read More