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Well-written C applications are like lightning when they re running, but any runtime has to get going, and launching an application (even a small one like test) takes time As it turns out, the few system operations it takes to test the size of a file are miniscule compared to the instantiation and teardown time for test Now I was stuck The find utility didn t have a specific -rsrc flag for working with such resources, so it had to use an executable helper to test for a resource fork I had seen that this would be unacceptably slow It was about this time that the Ruby-loving-puppy part of my brain started jumping up and down I couldn t see that a script of mine would be faster than the godfather of search tools that was find, but I had nothing to lose.

By default, Socket in blocking mode blocks on a read or write operation. You can override this behavior by assigning a timeout value with each operation. The timeout value determines the blocking time, and on timeout expiry, it raises a SocketException. Here s an example that assigns a timeout value to the send and receive operations: using System; using System.Net; using System.Net.Sockets; class ProtocolTweaking { public void SetTimeOut(Socket sockInstance,int recvBuffer,int sendBuffer) { sockInstance.SetSocketOption(SocketOptionLevel.Socket, SocketOptionName.SendTimeout,10); sockInstance.SetSocketOption(SocketOptionLevel.Socket, SocketOptionName.ReceiveTimeout,10); } }

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TCP implements the Nagle algorithm that throttles data before transmission over the wire. Such low-level optimizations are extremely helpful in a low-bandwidth link where applications exchange a TCP segment of a small size. With the help of this algorithm, data is held back for a particular time period before transmitting on the network. Here s an example that disables the Nagle algorithm: using System; using System.Net; using System.Net.Sockets; class ProtocolTweaking { public void DisableNagle(Socket sockInstance) { sockInstance.SetSocketOption (SocketOptionLevel.Tcp,SocketOptionName.NoDelay,1); } }

A sample view of the search results page is shown in Figure 4-9.

I turned to my editor and wrote Listing 3-1 Listing 3-1 A Resource-Fork Search Script #!/usr/bin/ruby -w Dir["**/**"]each do |f| p f if Fileftype(f) == "file" and Filesize("#{f}/.namedfork/rsrc") > 0 end Note the use of the double-globbing pattern as the argument to Dir[], which matches against everything in the current directory and all children, recursively As ever, you should take a look at ri Dir for more detail For every file system object returned, this code dumps a nice inspected version of the path if it is a regular file and its resource fork has some content I ran this code and nothing happened I immediately assumed I d done something wrong, so I read over it again but really couldn t spot the error I switched to a different directory and tried running it again, and again got nothing.

As you know, the primary role of the broadcast engine is to publish the latest price information about a stock It also provides ancillary services such as federal announcements, breaking news, and so on Such services are provided by market data vendors; they collect data from various exchanges and provide this consolidated data to organizations Because of this responsibility, they are often considered to be the information backbone of an organization, and this creates huge pressure on them to meet their goal of timely delivery of data While adhering to this goal, they often face two important problems: Data-quake: Data-quake erupts at a particular stage in trading hours where almost all stocks undergo a price change This change occurs as a result of some breaking news that directly/ indirectly impacts the economy of a country or the profitability of an organization or a particular industry segment.

But regardless of the source, the amount of data received by the market data vendor is enormous in comparison to the data received during normal trading hours The equities market is in a much less controllable shape during this stage because of the number of instruments transacted in the market; however, in the derivatives market, particularly the option instrument, the amount of data received is sufficient to bring down the trading systems Network efficiency: It is expected that when the amount of data is huge, then the underlying network link used to transfer it must be strong enough to cope with the speed at which data is thrown over the wire To handle such a massive load, many organizations use state-of-art network infrastructure between the market data vendor system and the organization s internal system Figure 4-24 represents a high-level overview of producers and consumers of market data information.

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