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So what is it that cursor 4 is responsible for Here are some lines from the trace file: WAIT #4: nam='db file sequential read' ela= 2926 file#=4 block#=90206 blocks=1 obj#=53791 tim=19641952691 WAIT #4: nam='db file sequential read' ela= 1666 file#=4 block#=90221 blocks=1 obj#=53791 tim=19641954572 WAIT #4: nam='direct path read' ela= 275 file number=4 first dba=90206 block cnt=1 obj#=53791 tim=19641964448 WAIT #4: nam='direct path write' ela= 3 file number=4 first dba=90174 block cnt=1 obj#=53791 tim=19641955477 Translation of file#=4 and block#=90206 by querying DBA EXTENTS yields this: SQL> SELECT segment name, segment type, extent id FROM dba extents WHERE file id=4 AND 90206 BETWEEN block id AND block id + blocks - 1; SEGMENT NAME SEGMENT TYPE EXTENT ID ----------------- ------------ --------IMAGES IMAGE DATA LOBSEGMENT 40 Obviously cursor 4 is related to LOB loading. vb.net qr code reader free NET QR Code Barcode Reader - KeepAutomation.com
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NET QR Code Barcode Reader , reading QR Code barcode images in .NET, C#, VB . NET ... NET for free . This unzipped ... Refer to the following C# & VB codes. This finding is corroborated by the fact that the Active Session History (ASH) report also lists a cursor that has caused direct path read and write operations, but lacks a SQL statement text This information is found in the Top SQL Statements section of the ASH report (see Figure 28-1) created by the script awr capturesql The Top DB Objects section indicates a LOB as the top object At this point we may conclude that loading LOB data with Oracle Call Interface (OCI), which is used internally by Perl DBI, is poorly instrumented The extended SQL trace file does not report the CPU usage of loading LOBs at all.. webtest_host webtest_port webtest_protocol webtest_summary webtest_response webtest_resultpath webtest_resultfile webtest_haltonerror webtest_errorproperty webtest_haltonfailure webtest_failureproperty webtest_showhtmlparseroutput Note Although I think memoization makes the underlying principles of DP clear, I do consistently rewrite the memoized versions to iterative programs throughout the chapter. While memoization is a great first step, one that gives you increased insight as well as a prototype solution, there are factors (such as limited stack depth and function call overhead) that may make an iterative solution preferable in some cases. Figure 28-1. Top SQL Statements section of an Active Session History report According to the ESQLTRCPROF report, 71 rows were inserted into the table IMAGES. Hash Value: 3858514115 - Total Elapsed Time (excluding think time): 0.146s INSERT INTO images (id, date loaded, exif make, exif model, exif create date, exif iso, exif f number, exif exposure time, exif 35mm focal length, image data) VALUES(:id, sysdate, :exif make, :exif model, to date(:exif create date, 'yyyy:mm:dd hh24:mi:ss'), :exif iso, :exif f number, :exif exposure time, :exif 35mm focal length, empty blob()) DB Call Count Elapsed CPU Disk Query Current Rows ------- -------- ---------- ---------- -------- -------- -------- -------PARSE 71 0.0026s 0.0156s 0 0 0 0 EXEC 71 0.1203s 0.0781s 1 71 495 71 FETCH 0 0.0000s 0.0000s 0 0 0 0 ------- -------- ---------- ---------- -------- -------- -------- -------Total 142 0.1229s 0.0938s 1 71 495 71 Since the interval covered by the trace file was 74.9 seconds, 56 LOBs were inserted per minute. What struck me was that there were also 71 parse calls for this INSERT statement. This was an indication that the parse call for the INSERT statement was done in a loop instead of just once before entering the loop. localhost 8080 http true true webtest/reports WebTestResult.xml false webTestError false webTestFailure true vb.net qr code scanner NET QR Code Barcode Reader - KeepAutomation.com
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