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I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?
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Software Developer

Interviewed at Epic

3.3★
Aug 29, 2009

I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?

how would you design how a cellphone implements its contact list when you press a certain letter. For example, If you press M it will tell you all the names starting with M. then if you press MI it will tell you all names starting from MI and so forth....
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Amazon Software Developer Intern

Interviewed at Amazon

3.5★
Apr 1, 2011

how would you design how a cellphone implements its contact list when you press a certain letter. For example, If you press M it will tell you all the names starting with M. then if you press MI it will tell you all names starting from MI and so forth....

We have a log file, can grow pretty big. Each line is a trace-log, and the first field is the RequestID. We need to scan the file, and print all the logs for requests which resulted in error .. 001 <timestamp> BEGIN 001 <timestamp> fetched from db 001 <timestamp> some processing .. 002 <timestamp> BEGIN .. 002 <timestamp> fetched from db 001 <timestamp> returned success 003 <timestamp> BEGIN 001 <timestamp> END 003 <timestamp> some work 002 <timestamp> ERROR 003 <timestamp> some other work
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Software Developer

Interviewed at Booking.com

4.1★
Mar 30, 2017

We have a log file, can grow pretty big. Each line is a trace-log, and the first field is the RequestID. We need to scan the file, and print all the logs for requests which resulted in error .. 001 <timestamp> BEGIN 001 <timestamp> fetched from db 001 <timestamp> some processing .. 002 <timestamp> BEGIN .. 002 <timestamp> fetched from db 001 <timestamp> returned success 003 <timestamp> BEGIN 001 <timestamp> END 003 <timestamp> some work 002 <timestamp> ERROR 003 <timestamp> some other work

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