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Intuition\nThe intuition behind solving this problem is straightforward. We need to identify and filter out tweets that have content with a character count grea
# Intuition\nThe intuition behind solving this problem is straightforward. We need to identify and filter out tweets that have content with a character count greater than 15. In SQL, we can achieve this by using a simple condition in our query.\n\n\n# Approach\nOur approach to solving this problem is to write an SQL query that selects the `tweet_id` from the `Tweets` table where the length of the `content` column is greater than 15 characters. This condition ensures that we are only retrieving the IDs of tweets that meet the criteria of having content longer than 15 characters.\n\n# Complexity \n- Time complexity: The time complexity of this solution is $$O(n)$$, where n is the number of tweets in the `Tweets` table. We need to scan through each tweet to check its content length.\n- Space complexity: The space complexity is $$O(1)$$, as we are not using any additional data structures that scale with the input size. We are simply querying the database without significant memory usage.\n\n# Code\n\n#### SQL Query for Oracle\n```\nSELECT tweet_id FROM Tweets WHERE LENGTH(content)>15;\n```\n#### SQL Query for MS SQL Server\n```\nSELECT tweet_id FROM Tweets WHERE LEN(content)>15;\n```\n#### SQL Query for MySQL\n```\nSELECT tweet_id FROM Tweets WHERE CHAR_LENGTH(content)>15;\n```
['MySQL', 'Oracle', 'MS SQL Server']