how to disable save and print option in pdf using c#

c# print pdf adobe reader

c# itextsharp add text to pdf, itextsharp add annotation to existing pdf c#, convert excel to pdf c# itextsharp, itextsharp add annotation to existing pdf c#, pdf annotation in c#, c# create pdf with password, pdf annotation in c#, c# ocr pdf to text, extract table from pdf to excel c#, open pdf and draw c#, c# split pdf into images, pdf annotation in c#, open pdf and draw c#, pdf annotation in c#, pdf annotation in c#

split pdf using c#, merge pdf files in asp.net c#, itextsharp datagridview to pdf c#, preview pdf in c#, convert tiff to pdf c# itextsharp, convert pdf to jpg c# codeproject, convert pdf to tiff using pdfsharp c#, convert image to pdf c#, read pdf file in asp.net c#, itextsharp excel to pdf example c#

Users can name a transaction to make it easier to monitor it, and there are several advantages to giving a meaningful name to a long-running transaction. For example, using the LogMiner utility, you can look for details of the specific transaction you re interested in. 16 shows how to use the LogMiner utility to help undo DML changes. Assigning names to transactions also makes it easier for the user to query the transaction details using the name column of the V$TRANSACTION view.

Chain jobs enable you to use dependency-based scheduling. A chain defines a set of programs and their dependencies. Your job can point to a chain, thus setting off a set of jobs.

pdf ocr software, online pdf editor free download for windows 10, gtin-12 check digit excel formula, image to pdf converter software free download for windows 7, qr code generator for word mail merge, excel to pdf converter software free download for windows 8 64 bit

To ensure data consistency, each user must see a consistent set of data that includes all changes made by that user s transactions as well as all the other users transactions. In a single-user database, it s a trivial matter to achieve data consistency. However, real-life databases need to allow simultaneous operations by numerous users, a requirement that s known as data concurrency. Improper interactions among transactions can cause data to become inconsistent. Transaction concurrency is achieved by managing various users simultaneous transactions without permitting any interference among them. If you re the only user of the database, you don t need to worry about concurrency control of transactions. However, in most cases, databases enable thousands of users to perform simultaneous select, update, insert, and delete transactions against the same table. One solution to concurrency control is to lock the entire table for the duration of each operation, so one user s transactions do not impact another s. Thus, each user would be operating in isolation, thereby sacrificing data concurrency. However, this would mean that access to the table would be severely reduced. As you ll see, Oracle does use locking mechanisms to keep the data consistent, but the locking is done in the least restrictive fashion, with the goal of maintaining the maximum amount of concurrency. Concurrency no doubt increases the throughput of an RDBMS, but it brings along its own special set of problems, which we ll look at next.

You use external jobs to run operating system executables outside the database. You specify the JOB_TYPE as EXECUTABLE for external jobs.

Concurrent access to the database by multiple users introduces several problems. Some of the most important problems potentially encountered in concurrent transaction processing are dirty reads, phantom reads, lost updates, and nonrepeatable reads.

You use a detached job to run a script or application as an independent process. The program for a detached job has the DETACHED attribute set to TRUE.

A dirty read occurs when a transaction reads data that has been updated by an ongoing transaction but has not been committed permanently to the database. For example, say transaction A has just updated the value of a column, and it is now read by transaction B. What if transaction A rolls back its changes, whether intentionally or because it aborts for some reason The value of the updated column will also be rolled back as a result. Unfortunately, transaction B has already read the new value of the column, which is now incorrect because of the rolling back of transaction A.

Lightweight jobs are different from regular Scheduler jobs in that they depend on a template to derive their privileges and the job metadata. Lightweight jobs involve less overhead and are quick to create and drop, thus making them ideal when you have a large number of short jobs to run. Unless otherwise specified, when I refer to a database job (regular jobs), I mean the regular Scheduler job and not a specialized type of job such as an external or lightweight job. I explain the various types of Scheduler jobs in more detail in this chapter.

The problem described in this section could be avoided by imposing a simple rule: Don t let any transaction Tip read the intermediate results of another transaction before the other transaction is either committed or rolled back. This way, the reads are guaranteed to be consistent.

In addition to the five basic Scheduler components jobs, schedules, programs, chains, and events the Scheduler also uses several advanced concepts: job classes, windows, and window groups. These advanced features set apart the Scheduler from its predecessor, the DBMS_JOB package. It s these advanced concepts that enable the prioritizing of jobs in the database and the allocation of resources in accordance with the organization s priorities. Let s look at the advanced Scheduler components briefly.

open pdf file using jsp, pdf to image java, image to pdf converter free online, extract text from pdf file using javascript