Feature | Enterprise | Standard |
User instances | No | No |
LocalDB | No | No |
Dedicated admin connection | Yes | Yes |
PowerShell scripting support | Yes | Yes |
SysPrep support 1 | Yes | Yes |
Support for data-tier application component operations - extract, deploy, upgrade, delete | Yes | Yes |
Policy automation (check on schedule and change) | Yes | Yes |
Performance data collector | Yes | Yes |
Able to enroll as a managed instance in multi-instance management | Yes | Yes |
Standard performance reports | Yes | Yes |
Plan guides and plan freezing for plan guides | Yes | Yes |
Direct query of indexed views (using NOEXPAND hint) | Yes | Yes |
Automatic indexed views maintenance | Yes | Yes |
Distributed partitioned views | Yes | No |
Parallel indexed operations | Yes | No |
Automatic use of indexed view by query optimizer | Yes | No |
Parallel consistency check | Yes | No |
SQL Server Utility Control Point | Yes | No |
Buffer pool extension | Yes | Yes |
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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