README_EN.md

981. Time Based Key-Value Store

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Description

Design a time-based key-value data structure that can store multiple values for the same key at different time stamps and retrieve the key's value at a certain timestamp.

Implement the TimeMap class:

• TimeMap() Initializes the object of the data structure.
• void set(String key, String value, int timestamp) Stores the key key with the value value at the given time timestamp.
• String get(String key, int timestamp) Returns a value such that set was called previously, with timestamp_prev <= timestamp. If there are multiple such values, it returns the value associated with the largest timestamp_prev. If there are no values, it returns "".

 

Example 1:

Input
["TimeMap", "set", "get", "get", "set", "get", "get"]
[[], ["foo", "bar", 1], ["foo", 1], ["foo", 3], ["foo", "bar2", 4], ["foo", 4], ["foo", 5]]
Output
[null, null, "bar", "bar", null, "bar2", "bar2"]

Explanation
TimeMap timeMap = new TimeMap();
timeMap.set("foo", "bar", 1);  // store the key "foo" and value "bar" along with timestamp = 1.
timeMap.get("foo", 1);         // return "bar"
timeMap.get("foo", 3);         // return "bar", since there is no value corresponding to foo at timestamp 3 and timestamp 2, then the only value is at timestamp 1 is "bar".
timeMap.set("foo", "bar2", 4); // store the key "foo" and value "bar2" along with timestamp = 4.
timeMap.get("foo", 4);         // return "bar2"
timeMap.get("foo", 5);         // return "bar2"

 

Constraints:

• 1 <= key.length, value.length <= 100
• key and value consist of lowercase English letters and digits.
• 1 <= timestamp <= 107
• All the timestamps timestamp of set are strictly increasing.
• At most 2 * 105 calls will be made to set and get.

Solutions

Python3

class TimeMap:
    def __init__(self):
        """
        Initialize your data structure here.
        """
        self.ktv = defaultdict(list)

    def set(self, key: str, value: str, timestamp: int) -> None:
        self.ktv[key].append((timestamp, value))

    def get(self, key: str, timestamp: int) -> str:
        if key not in self.ktv:
            return ''
        tv = self.ktv[key]
        i = bisect_right(tv, (timestamp, chr(127)))
        return tv[i - 1][1] if i else ''


# Your TimeMap object will be instantiated and called as such:
# obj = TimeMap()
# obj.set(key,value,timestamp)
# param_2 = obj.get(key,timestamp)

Java

class TimeMap {
    private Map<String, TreeMap<Integer, String>> ktv;

    /** Initialize your data structure here. */
    public TimeMap() {
        ktv = new HashMap<>();
    }

    public void set(String key, String value, int timestamp) {
        ktv.computeIfAbsent(key, k -> new TreeMap<>()).put(timestamp, value);
    }

    public String get(String key, int timestamp) {
        if (!ktv.containsKey(key)) {
            return "";
        }
        TreeMap<Integer, String> tv = ktv.get(key);
        Integer t = tv.floorKey(timestamp);
        return t == null ? "" : tv.get(t);
    }
}

/**
 * Your TimeMap object will be instantiated and called as such:
 * TimeMap obj = new TimeMap();
 * obj.set(key,value,timestamp);
 * String param_2 = obj.get(key,timestamp);
 */

Go

Because timestamp is always increasing, you can use binary search to quickly find the value

type pair struct {
	timestamp int
	value     string
}

type TimeMap struct {
	data map[string][]pair
}

func Constructor() TimeMap {
	return TimeMap{data: make(map[string][]pair)}
}

func (m *TimeMap) Set(key string, value string, timestamp int) {
	m.data[key] = append(m.data[key], pair{timestamp, value})
}

func (m *TimeMap) Get(key string, timestamp int) string {
	pairs := m.data[key]
	// sort.Search return the smallest index i in [0, n) at which f(i) is true
	i := sort.Search(len(pairs), func(i int) bool {
		return pairs[i].timestamp > timestamp
	})
	if i > 0 {
		return pairs[i-1].value
	}
	return ""
}

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