Parsing index.dat files




















Eli Korvigo Eli Korvigo 9, 6 6 gold badges 45 45 silver badges 70 70 bronze badges. I don't quite know what is going wrong. Should I specify column names in advance? Give me the first 2 lines of your data set not a screenshot. I faced no errors. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown.

The Overflow Blog. Stack Gives Back Safety in numbers: crowdsourcing data on nefarious IP addresses. Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search. Could someone explain how Internet Exploer cookies stored and how it retrived using the index. I think there is a win32 module that let's you do this. How are we doing? Please help us improve Stack Overflow.

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Disclaimer: The opinions expressed in this advisory and program are my own and not of any company. The usual standard disclaimer applies, especially the fact that Georgi Guninski is not liable for any damages caused by direct or indirect use of the information or functionality provided by this advisory or program.

Georgi Guninski, bears no responsibility for content or misuse of this advisory or program or any derivatives thereof. Our objective is to parse the three separate kinds of phone numbers, implement consistency, and return the parsed data so that each phone number is on a separate row unpivoting.

Our first step will be to parse the phone numbers on the delimiters. The first parameter is the object to parse, and the second is the integer value of the object piece to return. We should now have the PhoneNumbers field values returned in this format: [main number ].

A CTE is useful for returning a temporary view or result set. Each of the three types of numbers now has its own field. Our next task is to make sure each number for a given store is displayed on a separate record. Essentially, we want to convert some columns into rows.



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