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The maxthr and slavethr figures relate to throughput for parallel execution slaves. I believe that the figures somehow control the maximum degree of parallelism that any given query may operate at by recording the maximum rate at which slaves have historically been able to operate but I have not been able to verify this. These two statistics are allowed to have the value 1, but if any of the others end up with the value 1, then the CPU costing algorithms will not be invoked. (The situation changes with 10g, where there are two sets of statistics one of which is the noworkload set. If the main statistics are invalid, Oracle will fall back to using the noworkload statistics.) .net upc-a reader . NET Barcode Reader Library | C# & VB. NET UPC-A Recognition ...
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Net is a port of ZXing, an open-source, multi-format 1D/2D barcode image processing library ... With the Barcode Reader SDK, you can decode barcodes from. Although the manuals state that the CPUSPEED figure represents the CPU speed in cycles per second, you will probably find that it always falls short of the real CPU speed. Christian Antognini has suggested that the measure represents the number of times per second that Oracle can perform some calibrating operation on your platform. The 10053 trace file from 10g release 2 (10.2.0.1) includes a section on system statistics that corroborates this; for example, reporting my earlier sample set as follows (note the loss of precision in reporting the read times): Using WORKLOAD Stats CPUSPEED: 559 million instructions/sec SREADTIM: 1 milliseconds MREADTIM: 10 milliseconds MBRC: 6.000000 blocks MAXTHR: 13938448 bytes/sec SLAVETHR: 244736 bytes/sec Of course, the CPUSPEED is just a number, and the optimizer is just doing arithmetic with that number, whatever it represents but if you have a proper understanding of where the number comes from, you may be a little more cautious about fiddling with it. So how does the optimizer use these statistics Modify the original test case to include the system statistics shown previously and run it under 9i with the db_file_multiblock_read_count set to 4, 8, 16, and 32 in turn (this test is available as script tablescan_02.sql in the online code suite). Autotrace reported the cost of the query as 5,031 in the first three cases. Unfortunately, the cost in the case of the 32-block read size was 5,032, a small but unexpected variation. Under 10g, the costs were one unit less across the board. The rules about rounding, truncating, and so on are slightly different across the versions a common problem that increases the difficulty of working out what s really happening. So what do we infer from this new test Apart from the tiny anomaly with the 32 block reads, the cost no longer changes with the value of db_file_multiblock_read_count. The first detail to worry about is that autotrace is not up to doing a thorough job. We need the complete description of the execution plan to help us, so we need a proper explain plan script (see plan_run92.sql in the online code suite). The columns we are particularly interested in from the latest version of the plan_table are cpu_cost, io_cost, and temp_space (this last will only be used for sorts and hashes that are expected to overflow to disk). When we report a more complete execution plan, we see the following: uwp barcode generator, c# .net core barcode generator, how to generate qr code in asp.net core, .net core barcode generator
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