MySQL Full-Text Search in Subquery with Solution
Using Full-Text Search in a Subquery
Write a MySQL query to use a subquery that retrieves ArticleIDs matching "machine learning" and then fetch complete details for those articles.
Solution:
-- Use a subquery to find ArticleIDs matching 'machine learning' and retrieve full details.
-- The outer query retrieves all columns from the Articles table for the matching ArticleIDs.
SELECT *
FROM Articles
-- The WHERE clause filters rows where the ArticleID matches the results of the subquery.
WHERE ArticleID IN (
-- The subquery identifies ArticleIDs where the Content column matches the full-text search term 'machine learning'.
SELECT ArticleID
FROM Articles
-- The MATCH function performs a full-text search on the Content column for the term 'machine learning'.
WHERE MATCH(Content) AGAINST('machine learning')
);
Explanation:
- Purpose of the Query:
- To demonstrate incorporating full-text search within a subquery.
- Retrieves complete article details based on a preliminary search filter.
- Key Components:
- The inner subquery performs the full-text search.
- The outer query retrieves the full row details.
- Real-World Application:
- Useful for modular queries where search and data retrieval are separated for clarity.
Notes:
- Subqueries can impact performance; consider JOINs if necessary.
- Ensure the full-text index is applied in the subquery.
For more Practice: Solve these Related Problems:
- Write a MySQL query that uses a subquery to retrieve ArticleIDs matching "machine learning" via full-text search, and then fetch complete details for those articles.
- Write a MySQL query that incorporates a subquery to filter ArticleIDs where the Content column matches "artificial intelligence" and retrieves the full records.
- Write a MySQL query to first select ArticleIDs from articles containing "deep learning" using full-text search, then use these IDs to join with another table for additional details.
- Write a MySQL query employing a subquery to extract ArticleIDs from articles that match "neural networks" in the Content column, and then select all corresponding columns from the main table.
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Previous MySQL Exercise: Limiting Full-Text Search Results.
Next MySQL Exercise: Searching for Exact Phrases Using Quoted Strings.
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