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The parameter crucial for improving the hit ratio of the local data cache is cache seeding. Cache seeding involves pre-populating the cache with data that is likely to be requested by users or applications. By ensuring that frequently accessed data is readily available in the cache, the system can reduce the need to fetch data from slower storage options, which enhances performance and improves the hit ratio. A higher hit ratio indicates that more requests are being served from the cache, leading to quicker response times and efficient resource utilization.

In scenarios where data is frequently accessed, cache seeding allows for a proactive approach to caching, resulting in enhanced performance. This is especially pertinent in environments with high query volumes, as the likelihood of cache hits increases when relevant data is already present in the local cache.

While factors such as query volume, cluster size, and data partitioning can influence overall system performance, they do not specifically target the effectiveness of the local data cache in the same way that cache seeding does. Hence, cache seeding stands out as the most direct means to enhance the hit ratio of the local data cache.