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PDF File Compression for . NET Applications. ImageGear for . NET offers comprehensive file compression for PDF files (including PDF /A). This versatile SDK can be quickly integrated into your C# or VB. NET application without needing a deep understanding of the PDF file type or ...
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25 Apr 2018 ... Syncfusion Essential PDF is a . NET PDF library that can be used to optimize or compress your PDF documents. Reducing the PDF file size can ...

Locks are mechanisms used to regulate concurrent access to a shared resource. Note how I used the term shared resource and not database row. It is true that Oracle locks table data at the row level, but it also uses locks at many other levels to provide concurrent access to various resources. For example, while a stored procedure is executing, the procedure itself is locked in a mode that allows others to execute it, but it will not permit another user to alter it in any way. Locks are used in the database to permit concurrent access to these shared resources, while at the same time providing data integrity and consistency. In a single-user database, locks are not necessary. There is, by definition, only one user modifying the information. However, when multiple users are accessing and modifying data or data structures, it is crucial to have a mechanism in place to prevent concurrent modification of the same piece of information. This is what locking is all about. It is very important to understand that there are as many ways to implement locking in a database as there are databases. Just because you have experience with the locking model of one particular relational database management system (RDBMS) does not mean you know everything about locking. For example, before I got heavily involved with Oracle, I used other databases such as Sybase, Microsoft SQL Server, and Informix. All three of these databases

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The Syncfusion Essential PDF is a . NET PDF library used to optimize or compress PDF documents. Reducing the PDF file size can help you optimize bandwidth ...

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Transactions are a fundamental feature of all databases they are part of what distinguishes a database from a file system. And yet, they are often misunderstood and many developers do not even know that they are accidentally not using them. This chapter examines how transactions should be used in Oracle and also exposes some bad habits that may have been picked up when developing with other databases. In particular, we look at the implications of atomicity and how it affects statements in Oracle. We also discuss transaction control statements (COMMIT, SAVEPOINT, and ROLLBACK), integrity constraints, distributed transactions (the two-phase commit, or 2PC), and finally autonomous transactions.

public aspect MinimumBalanceRuleAspect { private float Account._minimumBalance; public float Account.getAvailableBalance() { return getBalance() - _minimumBalance; }

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provide locking mechanisms for concurrency control, but there are deep and fundamental differences in the way locking is implemented in each one. To demonstrate this, I ll outline my progression from a SQL Server developer to an Informix user and finally an Oracle developer. This happened many years ago, and the SQL Server fans out there will tell me But we have row-level locking now! It is true: SQL Server may now use row-level locking, but the way it is implemented is totally different from the way it is done in Oracle. It is a comparison between apples and oranges, and that is the key point. As a SQL Server programmer, I would hardly ever consider the possibility of multiple users inserting data into a table concurrently. It was something that just didn t often happen in that database. At that time, SQL Server provided only for page-level locking and, since all the data tended to be inserted into the last page of nonclustered tables, concurrent inserts by two users was simply not going to happen.

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It can be said that developers do not need to understand the detail of redo and undo as much as DBAs, but developers do need to know the role they play in the database. After first defining redo, we examine what exactly a COMMIT does. We discuss how to find out how much redo is being generated and how to significantly reduce the amount of redo generated by certain operations using the NOLOGGING clause. We also investigate redo generation in relation to issues such as block cleanout and log contention. In the undo section of the chapter, we examine the role of undo data and the operations that generate the most/least undo. Finally, we investigate the infamous ORA-01555: snapshot too old error, its possible causes, and how to avoid it.

after(Account account) : execution(SavingsAccount.new(..)) && this(account) { account._minimumBalance = 25; Using the introduced } data member

Note A SQL Server clustered table (a table that has a clustered index) is in some regard similar to, but

Oracle now supports numerous table types. This chapter looks at each different type heap organized (i.e., the default, normal table), index organized, index clustered, hash clustered, nested, temporary, and object and discusses when, how, and why you should use them. Most of time, the heap organized table is sufficient, but this chapter will help you recognize when one of the other types might be more appropriate.

Indexes are a crucial aspect of your application design. Correct implementation requires an in-depth knowledge of the data, how it is distributed, and how it will be used. Too often, indexes are treated as an afterthought in application development, and performance suffers as a consequence. This chapter examines in detail the different types of indexes, including B*Tree, bitmap, functionbased, and application domain indexes, and discusses where they should and should not be used. I ll also answer some common queries in the Frequently Asked Questions and Myths About Indexes section, such as Do indexes work on views and Why isn t my index getting used

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