Feature | Enterprise | Standard |
Basic R integration | Yes | Yes |
Advanced R integration | Yes | No |
R Server (Standalone) | Yes | No |
Polybase compute node | Yes | Yes 1 |
Polybase head node | Yes | No |
JSON | Yes | Yes |
Query Store | Yes | Yes |
Temporal | Yes | Yes |
Common Language Runtime (CLR) Integration | Yes | Yes |
Native XML support | Yes | Yes |
XML indexing | Yes | Yes |
MERGE & UPSERT capabilities | Yes | Yes |
FILESTREAM support | Yes | Yes |
FileTable | Yes | Yes |
Date and Time datatypes | Yes | Yes |
Internationalization support | Yes | Yes |
Full-text and semantic search | Yes | Yes |
Specification of language in query | Yes | Yes |
Service Broker (messaging) | Yes | Yes |
Transact-SQL endpoints | 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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