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Creating good policy is beyond the scope of this tutorial. he example policy is strong enough to allow an applet limited file access to the host machine. Java policy files can be created with the new policytool. This application has a GUI to guide users though the many twists and turns encountered when creating policy files. It's a very simplistic GUI with no online help. In its current form as of beta4, it is only useful if one does not know the syntax of a policy file. Policy files are plaintext files that follow a format outlined at . Second, to prevent mix-and-match attacks, all the code for the applet should live in one JAR file, even if the third-party libraries that re used by the applet live in their own JAR. (See Guidelines for Java Developers in 7, "Java Security Guidelines: Developing and Using Java More Securely.") To sign some portions of a JAR file and leave others unsigned takes a number of steps we'll cover now. First, create a JAR file containing all classes that need to be signed. jar cvf MyApp.jar Signme1.class Signme2.class List all the classes that need to be signed in the previous command. Once the JAR containing classes that need to be signed is created, sign the JAR with jarsigner. Creating Bar Code In Java Using Barcode generator for Java .Related: 



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The @RegionID and @RegionDescription parameters would be populated by the current values in the row being updated, and the @Original_RegionID and @Original_RegionDescription would be populated with the original row values maintained by the data set However, for a large table, comparing the values of every column means carrying a lot of data back and forth across the connection to the database A good compromise if you have control of the database schema is to include a timestamp, rowversion, or last-modified datetime column that gets updated every time any of the columns in the row gets updated You can then just compare the value of this single column to detect concurrency violations (see 10 for an example of this approach) Another option is to use some subset of the columns in the row to determine whether a violation has occurred For example, if the table storing the large images also contained their file name, size, and a hash of the image contents, you could compare those columns to decide whether the image had been updated concurrently or not The SqlDataAdapter class has built-in logic for detecting when optimistic concurrency has been violated, based on the @@ROWCOUNT SQL variable that indicates the number of affected rows when a query is executed If the query that you execute to perform an update, insert, or delete indicates that the number of affected rows was zero, the data adapter will raise a DBConcurrencyException You can tap into this detection logic both when you are using SQL text queries like the one in this code example and when you are doing your updates through a stored procedure As long as whatever query gets executed by the command affects zero rows, the data adapter will throw the exception, which you can catch and handle appropriately This happens because the rows affected should be equal to one, indicating that the update was successful However, throwing an exception may not always be the right thing to do What if the data set contains 100 rows to update, and the violation happens on the 42nd row The first 41 updates will have already been persisted to the database unless the update commands are associated with a single transaction (discussed later in this appendix), and the remaining 58 updates won't happen because the execution of the data adapter Update method is interrupted when the DBConcurrencyException is thrown Instead, you may want to allow updating to continue even if an error occurs, and then decide what to do about any errors after all the rows have been processed The data set and data adapter support this scenario as well Each DataRow in the tables of the data set contains a collection of errors exposed through the Errors property If a problem occurs performing an update on a row, the errors collection will get populated with information about what happened by the exception that was thrown That could include not only concurrency exceptions, but other built-in or custom SQL Server errors raised by the query or stored procedure execution You can set the ContinueUpdateOnError property of the data adapter to true, and then if any exceptions are thrown in the processing of a row, the errors collection will still be populated for that row but processing will continue with the remaining rows You are then expected to iterate through all the rows in the table being updated after completion of the Update method, and inspect the Errors property on each ow and react accordingly If you are doing batch updating in ADONET 20, the entire batch will be committed or aborted by the database within the scope of a transaction If an exception is raised in the processing of a batch, all the rows of that batch will fail How you handle the presence of errors, or a thrown exception if you don't set ContinueUpdateOnError equal to true, is going to be application dependent You may want to just log the problem, or prompt users with a list of failed updates and the current database values, and provide them with some kind of data merging user interface to resolve the conflict If you are binding the data to a Windows Forms DataGridView or DataGrid, the grid itself will detect the presence of errors and will depict the problem with an icon and tooltip help.





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