Feature | Enterprise | Standard |
Maximum compute capacity used by a single instance - SQL Server Database Engine1 | Operating system maximum | Limited to lesser of 4 sockets or 24 cores |
Maximum compute capacity used by a single instance - Analysis Services or Reporting Services | Operating system maximum | Limited to lesser of 4 sockets or 24 cores |
Maximum memory for buffer pool per instance of SQL Server Database Engine | Operating System Maximum | 128 GB |
Maximum memory for Columnstore segment cache per instance of SQL Server Database Engine | Unlimited memory | 32 GB2 |
Maximum memory-optimized data size per database in SQL Server Database Engine | Unlimited memory | 32 GB2 |
Maximum memory utilized per instance of Analysis Services | Operating System Maximum | Tabular: 16 GB |
MOLAP: 64 GB | ||
Maximum memory utilized per instance of Reporting Services | Operating System Maximum | 64 GB |
Maximum relational database size | 524 PB | 524 PB |
We'll explore scenarios involving nested queries, aggregations, custom scoring, and hybrid queries that combine multiple search criteria. 1. Nested Queries ElasticSearch Example: ElasticSearch supports nested documents, which allows for querying on nested fields with complex conditions. Query: Find products where the product has a review with a rating of 5 and the review text contains "excellent". { "query": { "nested": { "path": "reviews", "query": { "bool": { "must": [ { "match": { "reviews.rating": 5 } }, { "match": { "reviews.text": "excellent" } } ] } } } } } Redis Limitation: Redis does not support nested documents natively. While you can store nested structures in JSON documents using the RedisJSON module, querying these nested structures with complex condi...
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