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Set up a large pool memory area on your database. If you are using Oracle Database 10g or newer, then consider using automatic shared memory management (ASMM) to have Oracle automatically allocate memory to the large pool. If you re not comfortable with using ASMM, then you can manually set the initialization parameter large_pool_size. If you want to manually set the large pool size, here is Oracle s recommended formula for sizing it: large_pool_size = num_of_allocated_channels * (16 MB + (4 * size_of_tape_buffer ))

Table 6-1: Intrinsic Controls in Listing 6-1

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24 Jun 2014 ... How to use barcodelib generated Barcodes in SSRS (consider Barcode fonts don't work in runtime)
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You can display the component name and associated memory area (shared, large, Java, or streams Tip

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43.387s 100.00% Total response time Total number of roundtrips (SQL*Net message from/to client): 188696 CPU usage breakdown -----------------------parse CPU: 0.00s (12 PARSE calls) exec CPU: 16.25s (188707 EXEC calls) fetch CPU: 0.00s (22 FETCH calls) The most expensive SQL statement was an INSERT statement on the table CUSTOMER identified earlier by accessing X$BH. Statements Sorted by Elapsed Time (including recursive resource utilization) ============================================================================== Hash Value: 1256130531 - Total Elapsed Time (excluding think time): 42.608s INSERT INTO customer(id, name, phone) VALUES (customer id seq.nextval, :name, :phone) RETURNING id INTO :id DB Call Count Elapsed CPU Disk Query Current Rows ------- -------- ---------- ---------- -------- -------- -------- -------PARSE 0 0.0000s 0.0000s 0 0 0 0 EXEC 188695 19.6005s 16.2344s 4 4241 581188 188695 FETCH 0 0.0000s 0.0000s 0 0 0 0 ------- -------- ---------- ---------- -------- -------- -------- -------Total 188695 19.6005s 16.2344s 4 4241 581188 188695 Wait Event/CPU Usage/Think Time Duration Count ---------------------------------------- ---------- -------SQL*Net message from client 22.439s 188692 total CPU 16.234s 188695 think time 0.774s 3 enq: TX - index contention 0.642s 362 buffer busy waits 0.625s 4543 SQL*Net message to client 0.569s 188694 log file switch completion 0.329s 4 log buffer space 0.170s 5 db file sequential read 0.023s 2 latch: library cache 0.002s 20 latch: cache buffers chains 0.001s 13 latch free 0.001s 10 buffer deadlock 0.000s 28 latch: cache buffers lru chain 0.000s 10 latch: library cache pin 0.000s 1

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If you have enabled the use of I/O slaves, we recommend that you set up a large pool memory area. When using I/O slaves for synchronous I/O, RMAN will use memory in the large pool if it is available. If a large pool memory is not available, RMAN will allocate memory from the shared pool. If RMAN cannot allocate enough memory, it will acquire memory from the PGA and write an ORA-04031 message to your alert.log file. Using I/O slaves can improve performance when performing I/O to synchronous devices such as tape drives. You enable tape I/O slaves by setting the backup_tape_io_slaves parameter to TRUE. This causes an I/O server processes (slaves) to be assigned to each tape channel being used.

Table Table Table Table Table 7-1: 7-2: 7-3: 7-4: 7-5: Authors Database Column Descriptions Content Database Column Descriptions Author Data Content Data Dynamic Content CMA Design

See MetaLink note 73354.1 for details on how the use of I/O slaves can affect RMAN s use of memory Tip

Again, the contribution of the wait event latch: cache buffers chains is negligible The problem is elsewhere: 51% of the response time is due to SQL*Net message from client, the most significant contributor to overall response time Look at the columns Count and Rows of the statistics for the INSERT statement The figures are identical Furthermore the number of executions is almost identical to the number of network round-trips (SQL*Net message from client) This means that the application does single row inserts, ie, one network round-trip per INSERT statement executed This observation is confirmed by looking at the row count r of EXEC entries in the trace file These consistently have the value 1.

Table 13-1: Domain Database Table Design Table 13-2: Zone Database Table Design Table 13-3: Distribution Database Table Design

If you are working with an OS that doesn t support asynchronous I/O, then you can enable disk I/O slaves via the dbwr_io_slaves parameter. If you set this parameter to a nonzero value, RMAN will use four server processes to perform backup and recovery operations.

WAIT #3: nam='SQL*Net message to client' ela= 3 driver id=1413697536 #bytes=1 p3=0 obj#=-1 tim=347983945867 EXEC #3:c=0,e=79,p=0,cr=0,cu=2,mis=0,r=1,dep=0,og=1,tim=347983945892 WAIT #3: nam='SQL*Net message from client' ela= 109 driver id=1413697536 #bytes=1 p3=0 obj#=-1 tim=347983946105 A major reduction in response time could be achieved by recoding the application to use array inserts I caution you against following advice on the Internet to search for latch contention by accessing X$ tables Such advice may lead you on the road to compulsive tuning disorder, rather than paving the way to a solution for performance problems Always use a response timebased approach Never drill down to some perceived anomalies or ratios that you deem to be too high unless you have convincing evidence that these contribute significantly to response time Several years ago, I had the opportunity to talk to the renowned neuroscientist Jaak Panksepp.

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SSRS GS1-128 /EAN-128 barcode generator is designed to create and print GS1- 128 barcode images in SQL Server Reporting Services/SSRS with a Custom ...

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GS1 - 128 ( EAN - 128 ) Barcodes in SQL Server Reporting Services ...
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