Fast native C import routines are pretty standard with any halfway decent RDBMS. 

MySQL
LOAD DATA INFILE '/tmp/blah.txt' INTO TABLE mytable 
FIELDS TERMINATED BY '\t' 
LINES TERMINATED BY '\n';

MS SQL
BULK INSERT [table name] FROM [filename to insert] 
WITH (FIELDTERMINATOR = '\t',
FIRSTROW=2,
ROWTERMINATOR = '\n')

Oracle
Two stage control file insert methadology similar to above

[download]

I would make the rash presumption that the user already has the data in a (text) file (hardly likely to type in 100 million strings by hand as it would take literally years) and wants to manipulate them in some way. A RDBMS is probably the best solution. Multiple gigabytes of RAM is another possibility. A text file would seem the have rather dubious utility.....

We use big RAM or a DB depending on the task. We have one data munging widget that takes several hours to run and consumes up to 4 GB of RAM. The same algorithm tied to disk to save memory took weeks to run. In this case the extra speed of in memory processing easily offets the RAM cost.

cheers

tachyon

s&&rsenoyhcatreve&&&s&n.+t&"$'$`$\"$\&"&ee&&y&srve&&d&&print

In reply to Re: Re: string arrays by tachyon
in thread string arrays by Anonymous Monk

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