Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Transcribed Image Text:Use the hashing formula to calculate the hash of all the following strings. Use the Python Shell (the bottom area of Thonny) to help you calculate these numbers, since they get very large, very fast! A with a base of (11) and a hash size of (100): AB with a base of 11 and a hash size of 100: ABC with a base of 11 and a hash size of 100: ABC with a base of 33 and a hash size of 10000: Hello with a base of 31 and a hash size of 1000000000
[画像:Let's apply this formula to the "CAT" values ([67, 65, 84]) from earlier: The first (0) element is 67: =(0+31)**67 =8341295116763783101242214530037512645920899177987598203537434247253767513206111213488516390334626911 The second (1) element is 65: =(1+31)**65 68351585149469122636640694597425667667286544715412888638305331450311031224980497600734786781970432 The third (2) element is 84: =(2+31)**84 35906324357811432983835510485410216480190897616731123104932324864582947382402655361077065845208720508790429280946504247030088321 Are you seeing how ridiculous big those numbers are? With just a few simple calculations, we're hitting 126 digit numbers! It's gonna get even crazier next, because now we have to add all those numbers together. In this case, we end up with: Total Sum 35906324357811432983835510493819863182104149840609978329567263178171133105105666453252805423912799053221520992035755424146685664 Now, the whole goal was to have a short and sweet number. That's where our hash_size parameter comes in. We use modulo to cut it down to a fixed size, say 10**9 (one billion): = Total Sum % (10**9) 146685664 That number right there is our hashed value. If we modified the original string even just a little, we'd end up with a wildly different value. And because we're modulo-ing, we keep things pretty small in the end. Hashing is powerful, but a little tricky. It's fine if you don't understand it perfectly yet, you'll have plenty of time in the future to understand it better. But for now, you need to be able to do it by hand!]
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Transcribed Image Text:Let's apply this formula to the "CAT" values ([67, 65, 84]) from earlier: The first (0) element is 67: =(0+31)**67 =8341295116763783101242214530037512645920899177987598203537434247253767513206111213488516390334626911 The second (1) element is 65: =(1+31)**65 68351585149469122636640694597425667667286544715412888638305331450311031224980497600734786781970432 The third (2) element is 84: =(2+31)**84 35906324357811432983835510485410216480190897616731123104932324864582947382402655361077065845208720508790429280946504247030088321 Are you seeing how ridiculous big those numbers are? With just a few simple calculations, we're hitting 126 digit numbers! It's gonna get even crazier next, because now we have to add all those numbers together. In this case, we end up with: Total Sum 35906324357811432983835510493819863182104149840609978329567263178171133105105666453252805423912799053221520992035755424146685664 Now, the whole goal was to have a short and sweet number. That's where our hash_size parameter comes in. We use modulo to cut it down to a fixed size, say 10**9 (one billion): = Total Sum % (10**9) 146685664 That number right there is our hashed value. If we modified the original string even just a little, we'd end up with a wildly different value. And because we're modulo-ing, we keep things pretty small in the end. Hashing is powerful, but a little tricky. It's fine if you don't understand it perfectly yet, you'll have plenty of time in the future to understand it better. But for now, you need to be able to do it by hand!
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