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You might want to have other parts of the application wait until you are done with your transaction, thus ensuring that, at the risk of running at a lower response time (because the subsequent requests had to wait for the transactions to finish), the database provides the latest and greatest state of the data after the transaction completes Or in fact, with the latest databases, you might want (while a transaction is pending) other requests to the same data to actually return a snapshot of the data as it existed before the transaction began It turns out, such level of customizability can be provided by specifying isolation levels on transactions..

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Net is a library for developers to convert PDF to Word, RTF, DOC and Text. ... Net application : C# , VB. ... API for your application to read tables from a PDF and convert them in Excel -spreadsheet, using C# or VB. .... Windows ; Linux; Mac OS  ...

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Listing 27-1 uses the rubyzip gem to display text from a Zip file. This is useful because often Zip files are used as packaging for other types of files; for example, OpenOffice.org documents are XML documents packed inside of Zip files. Suppose you store invoices in OpenOffice.org format. You can use this example to extract the meta information for all of the documents in a directory, then read the XML to produce a list of document titles and authors this summary would be a useful reference. In fact, you could even use OpenOffice.org meta info to store application-specific information say, invoice numbers or client numbers. Listing 27-1. Displaying Text from a Zip File (rzipcat.rb) require 'zip/zipfilesystem' (puts "usage: #{$0} zipfile [filename] prints out one file or all files from a zip file"; exit) unless ARGV.length zipfile=ARGV.shift filename=nil filename=ARGV.shift unless ARGV.length==0 def print_file(filename, fs) puts filename puts "=" * filename.length puts fs.file.read(filename) end

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Now that you know how to implement basic transactions, let s go into some more detail and look at how you can control the behavior of a transaction, and how a transactional batch of queries affects other queries running on the same resource. This is typically done by specifying an isolation level on your transactions. This section will cover isolation levels and how they affect your application. In doing so, you ll encounter some terms that are frequently used while discussing isolation levels. In addition, you ll see how to set isolation levels in your code.

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An isolation level is a measure of the extent to which changes made outside a transaction are visible inside that transaction. It determines how sensitive your transaction is to changes made by other transactions. For example, by default in SQL Server, if two transactions are running independently of one another, then records inserted by one transaction are not visible to the other transaction, unless the first transaction is committed. The isolation level concept is closely related to the locks concept, because by determining isolation levels for a given transaction you can determine how long the given transaction must hold locks on resources to protect them against changes that may be made by others. You may wish to alter the behavior of the transactions so that the second transaction can view records inserted by the first one. This may amount to reading invalid data (because it isn t committed yet), which is typically referred to as a dirty read. But, if you wish to shoot yourself in the foot by reading invalid data, ADO.NET does give you the facility to do so.3 You can achieve this through setting isolation levels appropriately. For an ADO.NET programmer, the isolation level can be set via isolation level enumerated values.

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# Open the zip file. Zip::ZipFile.open(zipfile) do |fs| # If the user specified just one file, # print only that file. if filename print_file filename, fs else # If not, print all of the files. fs.dir.foreach('/') do |filename| print_file filename, fs end end end Save this script as rzipcat.rb. Create a few text files with text of any kind in them, and place them in a Zip file. Run the following command to test the script: ruby rzipcat name_of_your_zipfile.zip

Before going any further, it s important to understand some terms that are used frequently when discussing isolation levels: Dirty read: A dirty read is a condition when a transaction reads data that has yet to be committed. Consider a case where transaction A inserts some records into a table, but is pending. Transaction B reads these records. Now, if transaction A rolls back, transaction B will refer to data that is invalid. Nonrepeatable read: Consider a case where transaction A reads a record from a table. Transaction B then alters or deletes the records and commits the changes. Now, if transaction A tries to re-read the record, it will either be a different version or it will not be available at all. Such a condition is called a nonrepeatable read.

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