Table: Tweets
+----------------+---------+ | Column Name | Type | +----------------+---------+ | tweet_id | int | | content | varchar | +----------------+---------+ tweet_id is the primary key (column with unique values) for this table. content consists of characters on an American Keyboard, and no other special characters. This table contains all the tweets in a social media app.
Write a solution to find the IDs of the invalid tweets. The tweet is invalid if the number of characters used in the content of the tweet is strictly greater than 15.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Tweets table: +----------+-----------------------------------+ | tweet_id | content | +----------+-----------------------------------+ | 1 | Let us Code | | 2 | More than fifteen chars are here! | +----------+-----------------------------------+ Output: +----------+ | tweet_id | +----------+ | 2 | +----------+ Explanation: Tweet 1 has length = 11. It is a valid tweet. Tweet 2 has length = 33. It is an invalid tweet.
This approach involves using SQL to filter out invalid tweets directly from the database. The key is to use the WHERE clause to check the length of the tweet content and return those with a length strictly greater than 15.
The SQL solution utilizes the LENGTH function to determine the length of each tweet's content. The WHERE clause effectively filters these lengths and retrieves the tweet IDs of any entries with a content length greater than 15.
Time Complexity: O(n), where n is the number of tweets in the table. This is due to the need to calculate the length for each tweet.
Space Complexity: O(1), as we are using in-place operations without any additional data structures.
This approach reads all tweets and checks their content length programmatically. It uses an iterative process to filter out the invalid tweets by measuring the length of each tweet's content and collecting the IDs of those that are longer than 15 characters.
In this C solution, we iterate over the array of tweet content, using the strlen function to get the number of characters in each tweet. If the length exceeds 15, we print the corresponding tweet ID. This simulates filtering the tweets manually, similar to SQL but done in C.
C++
Java
Python
C#
JavaScript
Time Complexity: O(n), where n is the number of tweets, as each tweet is checked once.
Space Complexity: O(1), constant extra space used regardless of input size.
| Approach | Complexity |
|---|---|
| SQL Query Approach | Time Complexity: O(n), where n is the number of tweets in the table. This is due to the need to calculate the length for each tweet. |
| Iterative Filtering Approach | Time Complexity: O(n), where n is the number of tweets, as each tweet is checked once. |
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