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4-2-2 Index Blocks Structured as Trees The abbreviated keys require considerably more processing time c than would be required if a simpler index entry format were used Measurements have allocated 14% of total database CPU usage to abbreviation and expansion of keys If the indexes are kept on high speed disks, the computation time may exceed the time available because of the access delays Since index blocks are not accessed sequentially this does not a ect the assumptions made for the bulk transfer rate made in Sec 2-3-4, but the heavy demand on CPU resources is signi cant In a multiprogrammed environment the CPU is also busy with other processes and may be too valuable for excessive index abbreviation Processing all the
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Sec 4-2
Once the SAVE button has been clicked to begin the MPEG Export, the Exporter progress window will open and track the progress of your encode The thermometer display across the top visually shows the relative progress of the overall encode, both video and audio
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ASP . NET Core Barcode Generator | Syncfusion
The barcode generator control for ASP . NET Core is a light-weight and high-performance control that displays industry-standard 1D and 2D barcodes in ASP . NET Core applications. Generated barcodes are optimized for printing and on-screen scanning . It is designed for ease of use and does not require fonts.
is at about the 95% point At that time, the Video will have finished encoding, and the audio will be very quickly extracted from the source Movie The progress window initially opens with the preview pane closed, but clicking on the disclosure triangle in the upper left corner will unfold the video preview pane, showing you the encode in progress visually (see Fig 5-21) If you look closely, however, you may notice that the encode display doesn t move smoothly from frame to frame, but jumps in a kind of jerky preview This isn t because your Macintosh isn t fast enough to display all of the frames, but rather because of the nature of MPEG encoding
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keys in sequential order requires accessing about cix = 1 y entries for comparison 2 with the search argument The approaches described in this section reduce cix by replacing the sequential key structure of the entries in the current index block with a tree The use of rapid search in an index block regains computational time lost because of abbreviation We recall that the motivation for abbreviation is to increase the fanout ratio, which reduces the number of seek operations in the tree as well as the index space This section presents three alternate tree structures for indexes When entries are of xed size and not abbreviated, a conventional binary search or probing, as shown in Sec 3-2-3, also provide rapid access to entries within an index block A simple scheme groups the y index entries within one block into a number of sections to provide a second level The number of sections is chosen to be about equal to y An initial search pass jumps from section to section and compares one entry in each section A subsequent pass searches within the proper section through the y/ y = y entries found in a section The expected number of comparisons of sections and entries is 1 y each, so 2 that the total number of comparisons cix expected is jump search 4-4 cix = 2 ( 1 y) = y 2 which is the minimum obtainable with two passes and linear searching The num ber of comparisons y to nd an entry is within a factor of 2 of the optimum, a binary search, for typical values of y This additional pseudo-level does not require redundant entries of the key or pointers, only a means to locate the sections If the records are of xed length the location of the sections in the index block is computable Otherwise y section pointers can be used in each index block to de ne a two-level tree These section pointers have to be distinguishable so that they will not interfere with sequential processing of index entries An implementation is shown in Sec 4-3-3 and Fig 4-18.
Jump Index Search A Binary-Arranged Index Tree We presented the algorithm for binary search within a sequential le in Sec 3-2-1, Fig 3-5 Since entries in an index block are always sequential, a binary search can be used here too if the entries are of xed size For entries of arbitrary length a method which uses explicit successor pointers can permit a binary search to be used Figure 4-8 shows block D from the earlier example in Fig 4-7 The entries are arranged by level, so that the search begins at the middle value Two elds per entry direct the search algorithm to the next index entry to e ect a binary partitioning In this example, the maximum number of comparisons is four, and the expected number is 25/9 = 278 In a sequential search, (1 + 9)/2 = 5 comparisons would be expected In general, the tree search will require on the order of
Figure 5-20 QuickTime MPEG-2 Encoder in action (Preview closed)
230 * [20 * (1 + 00002B)] 4600 + 092B 4600 57,500
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