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select distinct year(orderdate) NumYear, case year(orderdate) when 1998 then 'Last year' else 'Prior year' end LabYear from orders



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Therefore, we recommend setting the parameter FAST_START_MTTR_TARGET in a RAC environment If you set this value too low for your environment and checkpointing is frequent, then the workload of the DBWRn process will be high, and performance under normal workloads is likely to be impacted At the same time, the time to recover a failed instance will be comparatively shorter If the FAST_START_MTTR_TARGET parameter is set too high, then DBWRn activity will be lower, and the opportunity for throughput will be higher That said, the time taken to recover from a failed instance will be comparatively longer FAST_START_MTTR_TARGET can be set dynamically, and the impact of different values can be observed in the column ESTIMATED_MTTR in the view V$INSTANCE_RECOVERY.

ALTER TABLE ProductFiles MODIFY LOB(FileAttachment) (CACHE);





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You simply label years as either Last year or Prior year depending on whether they were 1998 (the last year for orders in this version of the Northwind database) or earlier (in this database, none are later than 1998). The first two lines get a list of the distinct years (in the Orders table):

For recovery from a failed instance, the instance startup time and total datafile open time should deducted from the ESTIMATED_MTTR value and can be read in the columns INIT_TIME_AVG and the number of datafiles multiplied by FOPEN_TIME_AVG in X$ESTIMATED_MTTR respectively During a recovery operation, the FAST_START_PARALLEL_ROLLBACK parameter determines the parallelism of the transactional component recovery operation after the redo apply By default, this.

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parameter is set to a value of LOW, which is twice the CPU_COUNT value Given sufficient CPU resources, this parameter can be set to a value of HIGH to double the number of processes compared to the default value; the aim of changing this parameter is to improve the transaction recovery time The differing profiles of the LGWR and DBWRn processes on the nodes of the cluster will dictate the activity observed on the storage There is more emphasis on LGWR activity in a transactional, as opposed to a data warehouse, environment Some of the balance in activity between LGWR and DBWRn processes lies in the mean time to recover But given redo logs of a sufficient size, a checkpoint on each node will most likely occur at the time of a log switch.

To disable caching, run the same query but substitute CACHE with NOCACHE. The code in Listing 12-8 shows the performance gain when you enable LOB caching. You will first disable caching on the FileAttachment BLOB column in the ProductFiles table. After doing so, you will read the full length of the BLOB data from a record and repeat this task 100 times. The second part of the code does the same thing with LOB caching enabled. Listing 12-8. Retrieving LOB Data with LOB Caching Disabled and Enabled

select distinct year(orderdate) NumYear,

This checkpoint will allow sufficient time for DBWRn to flush all of the dirty buffers to disk If this flushing does not complete, then the Checkpoint Not Complete message will be seen in the alertlog of the corresponding instance, as follows: Thread 1 cannot allocate new log, sequence 2411 Checkpoint not complete Current log# 4 seq# 2410 mem# 0: +REDO/prod/onlinelog/group_4257679813563 Sun Feb 27 05:51:55 2009 Thread 1 advanced to log sequence 2411 (LGWR switch) Current log# 1 seq# 2411 mem# 0: +REDO/prod/onlinelog/group_1260679813483 Sun Feb 27 05:52:59 2009 Thread 1 cannot allocate new log, sequence 2412 Checkpoint not complete Current log# 1 seq# 2411 mem# 0: +REDO/prod/onlinelog/group_1260679813483 Sun Feb 27 05:53:28 2009 Thread 1 advanced to log sequence 2412 (LGWR switch) Current log# 2 seq# 2412 mem# 0: +REDO/prod/onlinelog/group_2259.

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