The 'search_query' table in Magento has significant potential to improve user experience by optimizing search performance. Often overlooked, it records customer search behavior. However, its increasing size can slow down the search process. The key to enhancing performance lies in selectively removing outdated and low-priority search terms, while maintaining important customer search data. This efficient handling of data provides valuable insights into emerging trends and customer preferences, improving user experience and enhancing search performance. The aim is a delicate balance between deletion and retention, preserving essential terms while discarding obsolete ones to revolutionize the Magento's search performance.
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