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iText 7 : Is it possible to remove all text occurrences contained in a specified area (red color rectangle area) of a pdf document? As Section 1831 noted, even a small skew can result in a signi cant decrease in performance Skew becomes an increasing problem with a higher degree of parallelism For example, if a relation of 1000 tuples is divided into 10 parts, and the division is skewed, then there may be some partitions of size less than 100 and some partitions of size more than 100; if even one partition happens to be of size 200, the speedup that we would obtain by accessing the partitions in parallel is only 5, instead of the 10 for which we would have hoped If the same relation has to be partitioned into 100 parts, a partition will have 10 tuples on an average If even one partition has 40 tuples (which is possible, given the large number of partitions) the speedup that we would obtain by accessing them in parallel would be 25, rather than 100 Thus, we see that the loss of speedup due to skew increases with parallelism A balanced range-partitioning vector can be constructed by sorting: The relation is rst sorted on the partitioning attributes The relation is then scanned in sorted order After every 1/n of the relation has been read, the value of the partitioning attribute of the next tuple is added to the partition vector Here, n denotes the number of partitions to be constructed In case there are many tuples with the same value for the partitioning attribute, the technique can still result in some skew The main disadvantage of this method is the extra I/O overhead incurred in doing the initial sort The I/O overhead for constructing balanced range-partition vectors can be reduced by constructing and storing a frequency table, or histogram, of the attribute values for each attribute of each relation Figure 201 shows an example of a histogram for an integer-valued attribute that takes values in the range 1 to 25 A histogram takes up only a little space, so histograms on several different attributes can be stored in the system catalog It is straightforward to construct a balanced range-partitioning function given a histogram on the partitioning attributes If the histogram is not stored, it can be computed approximately by sampling the relation, using only tuples from a randomly chosen subset of the disk blocks of the relation. java itext pdf remove text: Java IText : Underline + Strikethrough - Jenkov Tutorials java itext pdf remove text How to replace / remove text from a PDF file - Stack Overflow
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28 Jul 2016 ... Add, Edit Metadata of PDF Document using iText in Java ... package com. memorynotfound. pdf . itext ; import com. itextpdf . text .Document; import ... Another approach to minimizing the effect of skew, particularly with range partitioning, is to use virtual processors In the virtual processor approach, we pretend there are several times as many virtual processors as the number of real processors Any of the partitioning techniques and query evaluation techniques that we study later in this chapter can be used, but they map tuples and work to virtual processors instead of to real processors Virtual processors, in turn, are mapped to real processors, usually by round-robin partitioning The idea is that even if one range had many more tuples than the others because of skew, these tuples would get split across multiple virtual processor ranges Round robin allocation of virtual processors to real processors would distribute the extra work among multiple real processors, so that one processor does not have to bear all the burden Introduction As the world rushes into the information age, telecom customers demand new, faster, and more reliable services This places increasing demands on digital networks Expansion of these networks increases the deployment and reliance upon the common-channel signaling system no 7 (CCS/SS7) SS7 enables faster, more efficient and more reliable routing of communications and creates the opportunity for new revenue-generating services With the increased rate of growth, the complexity and diversity of SS7 networks increases This, along with the shortage of skilled SS7 engineers, makes it increasingly difficult to monitor and manage SS7 networks An SS7 signaling monitoring system provides the tools to support these SS7 networks Some important features of a typical system are: . Network-wide SS7 monitoring and real-time, centralized reporting for early warning of revenue-threatening conditions Graphical display of critical information, for a clear view of key network information Nonintrusive connection to the SS7 network that does not impact SS7 network reliability Nondependence on network elements such as switches, so it can provide networkwide, independent results Alarm management, protocol analysis, and call trace provide the ability to troubleshoot network problems Call detail record collection to facilitate usage billing, fraud detection/control, etc java itext pdf remove text Java IText : Underline + Strikethrough - Jenkov Tutorials
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