SQL> SELECT * FROM (
2 SELECT sequence#, archived, applied,
3 TO_CHAR(completion_time, 'RRRR/MM/DD HH24:MI') AS completed
4 FROM sys.v$archived_log
5 ORDER BY sequence# DESC)
6 WHERE ROWNUM <= 10
7 /
SEQUENCE# ARCHIVED APPLIED COMPLETED
---------- -------- ------- ----------------
11211 YES NO 2004/09/16 09:30
11210 YES YES 2004/09/16 09:00
11209 YES YES 2004/09/16 08:30
11208 YES YES 2004/09/16 08:00
11207 YES YES 2004/09/16 07:30
11206 YES YES 2004/09/16 07:00
11205 YES YES 2004/09/16 06:30
11204 YES YES 2004/09/16 06:30
11203 YES YES 2004/09/16 06:30
11202 YES YES 2004/09/16 06:00
10 rows selected.
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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