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By default, the compatibility for diskgroup is set to 10.1. You need to advance this to 11.1 to take advantage of disk_repair_time. You cannot set the disk_repair_time attribute with the create diskgroup syntax. It can be set only with the alter diskgroup command. In this example, we ll show how to advance the compatible.asm and compatible.rdbms attributes for the DATA diskgroup to 11.1 to take advantage of the repair timer: SQL> alter diskgroup data set attribute 'compatible.asm' = '11.1'; Diskgroup altered. SQL> alter diskgroup data set attribute 'compatible.rdbms'='11.1'; Diskgroup altered. Now you can query the V$ASM_ATTRIBUTE view to confirm the settings: SQL> select name, value from v$asm_attribute;

We have no grouping for aggregation, and all employees are returned as a detail row with their own HIRE_DATE as both the earliest and latest value quite meaningless output, even if it is technically accurate. If we omit the columns in the GROUP BY clause that we want included as details, Oracle quite rightly complains, as in the next SQL block.

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As you work through this book, you ll learn all the nitty-gritty details of working with FogBugz. But before setting out on this journey, it s good to know where you re going. FogBugz came from some simple notions of what a bug-tracking tool should do. From those roots, though, it s grown into a robust project management tool. You may also need some other tools (for example, something to graphically display the project schedule and dependencies), but FogBugz can form the core of a successful project management strategy for most software projects.

If you need to increase the duration of the disk_repair_time to five hours, you can change it with the following command: SQL> alter diskgroup data set attribute 'disk_repair_time' = '5H';

select department_id, employee_id, first_name, last_name, min(hire_date), max(hire_date) from hr.employees group by department_id; select department_id, employee_id, first_name, last_name, * ERROR at line 1: ORA-00979: not a GROUP BY expression Using the analytic versions of MIN and MAX in an inline view, our recipe overcomes this problem. This recipe works by expecting many of the rows to be discarded by the outer SELECT statement, and ensures that every row in the inline view has the necessary details. The inline view from our recipe generates results (cropped to save space) that are shown next. DEPARTMENT_ID ------------10 20 20 30 30 30 30 30 30 ... EMPLOYEE_ID ----------200 201 202 114 119 115 116 117 118 FIRST_NAME ---------Jennifer Michael Pat Den Karen Alexander Shelli Sigal Guy LAST_NAME ---------Whalen Hartstein Fay Raphaely Colmenares Khoo Baida Tobias Himuro HIRE_DATE --------17-SEP-87 17-FEB-96 17-AUG-97 07-DEC-94 10-AUG-99 18-MAY-95 24-DEC-97 24-JUL-97 15-NOV-98 FIRST_HIRE ---------17-SEP-87 17-AUG-97 17-AUG-97 10-AUG-99 10-AUG-99 10-AUG-99 10-AUG-99 10-AUG-99 10-AUG-99 LAST_HIRE --------17-SEP-87 17-FEB-96 17-FEB-96 07-DEC-94 07-DEC-94 07-DEC-94 07-DEC-94 07-DEC-94 07-DEC-94

You can specify this disk_repair_time unit in minutes (M or m) or hours (H or h). If not specified, the default is hours. As you can see here, you can also set the disk_repair_time at the minute granularity: SQL> alter diskgroup data set attribute 'disk_repair_time' = '40M';

The analytic MIN and MAX function have effectively recorded the hire date of the first employee and last employee in each department against every employee even if they were neither the first or last employee themselves. At first, this will seem strange, but this is where the outer SELECT statement comes in to play. Our main SELECT uses this WHERE clause. where hire_date in (first_hire, last_hire) This effectively discards all rows except those where the employee s HIRE_DATE matched the calculated FIRST_HIRE or LAST_HIRE dates. Our CASE statements then simply evaluate whether the remaining rows have a HIRE_DATE that matches FIRST_HIRE or LAST_HIRE, and emits a meaningful string for our report.

You can query the REPAIR_TIMER column to see the remaining time left in seconds before ASM drops an offline disk in the V$ASM_DISK or V$ASM_DISK_IOSTAT view. In addition, the disk resynchronization operation appears as a SYNC value in the OPERATION column of the V$ASM_OPERATION view. Oracle s background process, Diskgroup Monitor (GMON), wakes up every three minutes and checks all mounted diskgroups for offline disks. GMON will notify a slave process to increment their timer values (by three minutes) and initiate a drop for the offline disks with the timer values exceeding their deadlines if it detects an offline disk. This is shown in the REPAIR_TIMER column of V$ASM_DISK.

You need to group data into equal-size buckets for a report. For instance, you want to sort your customers in quartiles based on the value of their orders, so you can identify your big spenders.

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