efficiently handle 45,000 queries per hour
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efficiently handle 45,000 queries per hour has 4 facts recorded in Dontopedia across 2 references.
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achievesAchieves(1)
- Strategy Implementation
ex:strategy-implementation
demonstratesDemonstrates(1)
- Query Processing System
ex:query-processing-system
enablesEnables(1)
- Indexing Consideration
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hasCapabilityHas Capability(1)
- Query Processing System
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- Strategy Implementation
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Outcome | [1] |
| Uses Technology | Spacy Library | [1] |
| Capability of | Query Processing System | [2] |
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References (2)
ctx:claims/beam/449c3497-7bf6-4f4c-9327-9e55d9760075- full textbeam-chunktext/plain1 KB
doc:beam/449c3497-7bf6-4f4c-9327-9e55d9760075Show excerpt
4. **Batch Processing**: - Define `process_batch` to process a batch of texts using `nlp.pipe`. 5. **Parallel Execution**: - Define `process_texts_in_parallel` to process texts in parallel using `ThreadPoolExecutor`. - Split the t…
ctx:claims/beam/8b30de21-2d3a-413a-b3d2-8c2f4a7f7be1- full textbeam-chunktext/plain1 KB
doc:beam/8b30de21-2d3a-413a-b3d2-8c2f4a7f7be1Show excerpt
This demonstrates that the system is capable of processing queries efficiently and handling errors gracefully. ### Further Considerations - **Scalability**: Use process pools (`ProcessPoolExecutor`) for CPU-bound tasks to bypass the GIL.…
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