Outline autocomplete.
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hardSystem Design
How would you design a typeahead/autocomplete system?
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01
Understand the problem
autocompletetrie
02
Attempt it yourself
Sketch your approach before reading the solution — that's what interviews test.
Nudge consolestandby
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03
Study the solution
Step 1: Outline use cases and constraints
Gather requirements and scope the problem. Ask questions to clarify use cases and constraints. Discuss assumptions.
Use cases
We'll scope the problem to handle only the following use cases
- User performs core action described in How would you design a typ
Solution ready — 2 min read
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04
Read the code
Trie with cached top-k suggestions
Run Playgroundclass Node:
def __init__(self):
self.children = {}
self.top = [] # cached (weight, word), best first
class Trie:
def __init__(self, k=5):
self.root = Node()
self.k = k
def insert(self, word, weight):
node = self.root
for ch in word:
node = node.children.setdefault(ch, Node())
node.top = sorted(set(node.top + [(weight, word)]), reverse=True)[: self.k]
def suggest(self, prefix):
node = self.root
for ch in prefix:
if ch not in node.children:
return []
node = node.children[ch]
return [w for _, w in node.top]
t = Trie()
for word, freq in [("cat", 9), ("car", 7), ("cards", 3), ("dog", 5)]:
t.insert(word, freq)
print("ca ->", t.suggest("ca")) # ['cat', 'car', 'cards'] (by popularity)05
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