Feature | Enterprise | Standard |
Server core support1 | Yes | Yes |
Log shipping | Yes | Yes |
Database mirroring | Yes | Yes |
Full safety only | ||
Backup compression | Yes | Yes |
Database snapshot | Yes | Yes 3 |
Always On failover cluster instances | Yes | Yes |
Number of nodes is the operating system maximum | Support for 2 nodes | |
Always On availability groups | Yes | No |
Up to 8 secondary replicas, including 2 synchronous secondary replicas | ||
Basic availability groups 2 | No | Yes |
Support for 2 nodes | ||
Online page and file restore | Yes | No |
Online indexing | Yes | No |
Online schema change | Yes | No |
Fast recovery | Yes | No |
Mirrored backups | Yes | No |
Hot add memory and CPU | Yes | No |
Database recovery advisor | Yes | Yes |
Encrypted backup | Yes | Yes |
Hybrid backup to Windows Azure (backup to URL) | 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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