Parameters | RDS | VDI |
Each user gets a separate VM | No. Each user gets a session in the same VM | Yes |
Creates complexity for the IT staff, wherein they have to manage multiple instances of the OS, updating and patching them. | Yes | Easy |
Multiple users use the same VM and server OS | Yes | Multiple user uses different VM specific to them |
Does not provide complete administrative rights, as resources have to be shared between multiple users | Yes. | Since it's a single user, you can get admin privilege |
Cost and complexity is a concern | Yes | No |
Managing and updating the software is easy | Yes | Yes |
Less CPU and memory resources are utilized, which facilitates having more users per system | Yes | Obviously need more CPU and Memory in comparison to RDS |
Local Computer | Need | No need to local computer. |
Software Requirements | Same set of software used for all users | Different sets of software can be used for different set of users |
Performance | One heavy user performance will impact other user's performance | Each will work independantly |
Locally attached USB drives | Not accessible | Accssible. |
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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