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intersection, and difference operators are shown in Tables 323 through 325, respectively Even though we can determine that two rows are identical from looking only at StdSSN, all columns are compared due to the way that the operators are designed Note that the result of Studentl DIFFERENCE Student2 would not be the same as Studentl DIFFERENCE Studentl The result of the latter (Studentl DIFFERENCE Studentl) is the second and third rows of Studentl (rows in Studentl but not in Studentl) Because of the union compatibility requirement, the union, intersection, and difference operators are not as widely used as other operators However, these operators have some im portant, specialized uses One use is to combine tables distributed over multiple locations For example, suppose there is a student table at Big State University (BSUStudent) and a stu dent table at University of Big State (UBSStudent) Because these tables have identical columns, the traditional set operators are applicable To find students attending either uni versity, you should use UBSStudent UNION BSUStudent To find students only attending Big State, you should use BSUStudent DIFFERENCE UBSStudent To find students attend ing both universities, you should use UBSStudent INTERSECT BSUStudent Note that the resulting table in each operation has the same number of columns as the two input tables The traditional operators are also useful if there are tables that are similar but not union compatible For example, the Student and Faculty tables have some compatible columns (StdSSN with FacSSN, StdLastName with FacLastName, and StdCity with FacCity), but other columns are different The union compatible operators can be used if the Student and Faculty tables are first made union compatible using the project operator presented in Section 341

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The process of committing a transaction T requires these records to be written to stable storage: All log records associated with T that have not been output to stable storage The <T commit> log record These output operations frequently require the output of blocks that are only partially lled To ensure that nearly full blocks are output, we use the group-commit technique Instead of attempting to commit T when T completes, the system waits until several transactions have completed, or a certain period of time has passed since a transaction completed execution It then commits the group of transactions that are waiting, together Blocks written to the log on stable storage would contain records of several transactions By careful choice of group size and maximum waiting time, the system can ensure that blocks are full when they are written to stable storage without making transactions wait excessively This technique results, on average, in fewer output operations per committed transaction Although group commit reduces the overhead imposed by logging, it results in a slight delay in commit of transactions that perform updates The delay can be made quite small (say, 10 milliseconds), which is acceptable for many applications These delays can be eliminated if disks or disk controllers support nonvolatile RAM buffers for write operations Transactions can commit as soon as the write is performed on the nonvolatile RAM buffer In this case, there is no need for group commit Note that group commit is useful even in databases with disk-resident data

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generate a PDF in an Azure App Service - MSDN - Microsoft
I'm currently trying to use a PDF generator in my project but it doesn't work in an Azure Web app. I am using something called SelectPDF to ...

A release is processed when a WINS client gives up its WINS registration When done as part of a normal shutdown, this is called an explicit release During the shutdown process, the client sends a name release request to the WINS server The WINS database entry for this registration is marked "released" by the server If a workstation is improperly shutdown (due to a power failure, for instance) and the client cannot send an explicit release, the server will perform a silent release This kind of release will occur only after the renewal interval has passed and the server has not received a request from the client to continue the name registration

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Html to Pdf library in Azure Function - Stack Overflow
I made a solution recently generating PDF files from HTML pages. ... the API with some parameters and can wait for the PDF generation async.

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The integrity constraints that we have considered thus far pertain to the values stored in the database In certain applications, the constraints include deadlines by which a task must be completed Examples of such applications include plant management, traf c control, and scheduling When deadlines are included, correctness of an execution is no longer solely an issue of database consistency Rather, we are concerned with how many deadlines are missed, and by how much time they are missed Deadlines are characterized as follows: Hard deadline Serious problems, such as system crash, may occur if a task is not completed by its deadline Firm deadline The task has zero value if it is completed after the deadline Soft deadlines The task has diminishing value if it is completed after the deadline, with the value approaching zero as the degree of lateness increases Systems with deadlines are called real-time systems Transaction management in real-time systems must take deadlines into account If the concurrency-control protocol determines that a transaction Ti must wait, it may cause Ti to miss the deadline In such cases, it may be preferable to pre-empt the transaction holding the lock, and to allow Ti to proceed Pre-emption must be used

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summarize an operator that pro duces a table with rows that summarize the rows of the input table Aggregate functions are used to summarize the rows of the input table

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Convert PDF to TEXT | Azure AI Gallery
6 Oct 2016 ... Azure ML experiment to convert PDF to text using python script. Tags: convert pdf , custom python utility, s.

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Understanding text with Azure Functions using OCR ... - Kenneth Ham
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