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The most common of these types is the delimited fields ones that are terminated by an end-of-file (EOF), in fact. Typically, you have a directory full of files you would like to load into LOB columns, and each file in its entirety will go into a BLOB. The LOBFILE statement with TERMINATED BY EOF is what you will use. So, let s say we have a directory full of files we would like to load into the database. We would like to load the OWNER of the file, the TIME_STAMP of the file, the NAME of the file, and the file itself. The table we would load into would be created as follows: ops$tkyte@ORA11GR2> create table lob_demo 2 ( owner varchar2(255), 3 time_stamp date, 4 filename varchar2(255), 5 data blob 6 ) 7 / Table created. Using a simple ls l on UNIX, and dir /q /n on Windows, and capturing that output, we can generate our input file and load it using a control file such as this on UNIX: LOAD DATA INFILE * REPLACE INTO TABLE LOB_DEMO ( owner position(17:25), time_stamp position(44:55) date "Mon DD filename position(57:100), data LOBFILE(filename) TERMINATED ) BEGINDATA -rw-r--r-1 tkyte tkyte 1220342 -rw-rw-r-1 tkyte tkyte 10 -rw-rw-r-1 tkyte tkyte 751 -rw-rw-r-1 tkyte tkyte 491 -rw-rw-r-1 tkyte tkyte 283 -rw-rw-r-1 tkyte tkyte 231 -rw-rw-r-1 tkyte tkyte 235 -rw-rw-r-1 tkyte tkyte 1649 -rw-rw-r-1 tkyte tkyte 1292 -rw-rw-r-1 tkyte tkyte 909
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unsigned comparison is also admissible and is used to compare an object reference to null, because objects are subject to garbage collection, and their references can be changed by the GC at will.
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That is quite dramatic: from 32 CPU seconds in the no bind variables example to 4 CPU seconds here. From 652 hard parses per second to 23 per second (and based on my knowledge of how statspack works, most of those were from running statspack!). Even the elapsed time was dramatically reduced from about 39 seconds down to 10 seconds. When not using bind variables, we spent seven-eighths of our CPU time parsing SQL (4 seconds versus 32). This was not entirely latch related, as much of the CPU time incurred without bind variables was spent parsing and optimizing the SQL. Parsing SQL is very CPU intensive, but to expend seven-eighths of our CPU doing something (parsing) that doesn t really do useful work for us work we didn t need to perform is pretty expensive. When we get to the two-user test, the results continue to look better: Elapsed: DB time: 0.33 (mins) Av Act Sess: 0.36 (mins) DB CPU: 1.1 0.35 (mins)
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If object models aren t the same as relational models (or some other data models you might be using), some mechanism is needed by which data can be translated from the Data Storage and Management layer up into the object-oriented Business layer.
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Figure 10-13. The RolesEdit.aspx page when a new role is being added
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In Postage, we employed many standard Apple controls and gestures: Selecting a postcard design operates with a standard scroll view that pages with the familiar swiping gesture. A standard page control conveys how many postcard templates are in a category just like Safari or the Stocks application. We used a standard navigation bar to implement the means to step through each task in creating a postcard. Our navigation was somewhat unique in that we allowed movement forward through the steps in the navigation bar. Most applications use the navigation bar item on the left to step back to the previous navigation step but drill down further into the hierarchy using a list of table in the main view. We wanted to advance forward using the navigation bar, so we developed the custom button shown in Figure 7-12 that carries the user forward in the same style as the right side navigation buttons (this same technique is used by the iPod application for navigation back to the Now Playing track). We made sure to maintain this navigation bar behavior throughout the application. Once you discover that you tap the right navigation button to move forward in the application, the behavior is consistent throughout.
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For example, the following code shows the declaration of a void method called SomeMethod, which has three possible places it might return to the calling code. The first two places are in branches called if statements, which are covered in 9. The last place is the end of the method body. Void return type void SomeMethod() { ... if ( SomeCondition ) return; ... if ( OtherCondition ) return; ... } // Default return to the calling code.
Each extent is 100MB in size. Now, it would be a waste of paper to list all 714 extents allocated to the AUTOALLOCATE_TEST tablespace, so let s look at them in aggregate: ops$tkyte%ORA11GR2> select segment_name, blocks, count(*) 2 from user_extents 3 where segment_name = "AUTOALLOCATE_TEST" 4 group by segment_name, blocks 5 order by blocks; SEGMENT_NAME BLOCKS COUNT(*) ------------------------------ ---------- ---------AUTOALLOCATE_TEST 8 128 AUTOALLOCATE_TEST 128 504 AUTOALLOCATE_TEST 312 2 AUTOALLOCATE_TEST 952 1 AUTOALLOCATE_TEST 960 4 AUTOALLOCATE_TEST 1000 1 AUTOALLOCATE_TEST 1024 77 7 rows selected. This generally fits in with how locally-managed tablespaces with AUTOALLOCATE are observed to allocate space. The 8, 128, and 1,024 block extents are normal; we will observe them all of the time with AUTOALLOCATE. The rest, however, are not normal; we do not usually observe them. They are due to the extent trimming that takes place. Some of the parallel execution servers finished their part of the load they took their last 8MB (1,024 blocks) extent and trimmed it, resulting in a spare bit left over. One of the other parallel execution sessions, as it needed space, could use this spare bit. In turn, as these other parallel execution sessions finished processing their own loads, they would trim their last extent and leave spare bits of space. So, which approach should you use If your goal is to direct path load in parallel as often as possible, I suggest AUTOALLOCATE as your extent management policy. Parallel direct path operations like this will not use space under the object s HWM the space on the freelist. So, unless you do some conventional path inserts into these tables also, UNIFORM allocation will permanently have additional free space in it that it will never use. Unless you can size the extents for the UNIFORM locally-managed tablespace to be much smaller, you will see what I would term excessive wastage over time, and remember that this space is associated with the segment and will be included in a full scan of the table.
With that simple addition, we have added AJAX capabilities to this application, and the page will not blink as it obtains data and renders the updates. You can see that there is no explicit coding for a partial-page update for all content, including price information and analytic charts. Everything is handled under the hood by the ASP.NET AJAX runtime. You concentrate on building your application, and by wrapping standard ASP.NET controls with an UpdatePanel, you can enable the asynchronous functionality. One last item to complete is a way of notifying the user when the page is being updated. Because all updates are done asynchronously with no page refresh, the user may be confused at times during page updates when nothing is happening. Just like an UpdatePanel, you can create this either from the left Toolbox or by manually typing the markup as shown here:
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