By David Cross
The Perl language is easily suited to use with "data munging" initiatives: those who contain reworking and massaging info. whereas Perl is often used for such projects, there was no ebook taken with the subject of munging. This publication covers the elemental paradigms of programming and discusses the various options which are particular to Perl. It additionally examines common info codecs akin to textual content, binary, HTML, and XML ahead of giving pointers on growing and parsing new dependent information codecs. resource code downloads and technical aid from the authors can be found on publisher's website.
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Extra resources for Data Munging with Perl
11 need to invest in new hardware as some larger database systems like to have their own CPU (or CPUs) to run on. Nevertheless, most organizations are prepared to pay this price for the extra flexibility that they get from a database. Communicating with databases Most modern databases use a dialect of Structured Query Language (SQL) for all of their data manipulation. It is therefore very likely that if your data source or sink is an RDBMS that you will be communicating with it using SQL. 3 Data pipes If you need to constantly monitor data that is being produced by a system and transform it so it can be used by another system (perhaps a system that is monitoring a real-time stock prices feed), then you should look at using a data pipe.
Example: I/O chaining Another advantage of the filter model is that it makes it easier to add new functionality into your processing chain without having to change existing code. Suppose that a system is sending you product data. You are loading this data into the database that drives your company’s web site. dat and have written a script called load_products. This script reads the data from STDIN, performs various data munging processes, and finally loads the data into the database. dat announces that because of a reorganization of their database they will be changing the format of your input file?
One process prepares to write data to a named pipe which, to other processes, looks like a file. The writing process waits until another process tries to read from the file. At that point it writes a chunk of data to the named pipe, which the reading process sees as the contents of the file. This is useful if the reading process has been written to expect a file, but you want to write constantly changing data. 2 As long as you don’t make any use of vendor-specific features. 3 The two systems define a TCP/IP port number through which they will communicate.