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Home/ Questions/Q 7587693
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Editorial Team
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Editorial Team
Asked: May 30, 20262026-05-30T19:44:13+00:00 2026-05-30T19:44:13+00:00

Consider a huge CSV with the following structure (modified for simplicity): ID, NAME, ADDRESS,

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Consider a huge CSV with the following structure (modified for simplicity):

ID, NAME,  ADDRESS, PHONE, MAIL
1,  Jon,   UK,      403,  jon@skeet.com
2,  Marc,  UK,      292,  marc@gravel.com
3,  Darin, France,  291,  darin@dimitrov.com
...
(Some million records)

The natural data structure for quick fetch is a Hash Table, where every ID is a key and NAME, ADDRESS, PHONE, MAIL are the value. My dillema is the data structure of the values.

Storing it in a HashMap where every row header is the key is a waste of space, because the row headers are exactly the same for each row. Storing it as an Array would lose the metadata for each item, because the reader

I was thinking of two approaches:

  • Overload Java’s Hashmap. The row headers will be stored once, and every ID will be associated with a String Array. The get() method will be overloaded so that it will return a map between the header rows and the corresponding fields in the row.

  • Create a dumb class which stores the data for each row using getters and setters (row.getMail(), row.getAddress(),…)

What’s the right way to go, in terms of memory efficiency, type safety and speed?

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  1. Editorial Team
    Editorial Team
    2026-05-30T19:44:14+00:00Added an answer on May 30, 2026 at 7:44 pm

    I’d go for the “dumb” class instead of overloading a collection.

    I don’t know about type safety or speed, but I would say your code will be more readable. Those values go together; encapsulate them in an object to emphasize the point. Is there any behavior associated with them besides get/set? If yes, then so much the better.

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