Pool Map Call
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
Pool Map Call has 16 facts recorded in Dontopedia across 3 references.
Mostly:uses function(1), distributes across(1), purpose(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
areCoordinatedByAre Coordinated by(1)
- Worker Processes
ex:worker-processes
calledByCalled by(1)
- Ingest Document Function
ex:ingest-document-function
callsCalls(1)
- Ingest Documents Function
ex:ingest-documents-function
executesMapExecutes Map(1)
- Pool Object
ex:pool-object
hasComponentHas Component(1)
- Ingestion Pipeline
ex:ingestion-pipeline
isInputToIs Input to(1)
- Documents
ex:documents
scheduledByScheduled by(1)
- Ingest Document Function
ex:ingest-document-function
Other facts (16)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Uses Function | Ingest Document | [1] |
| Distributes Across | Worker Processes | [1] |
| Purpose | Parallel Processing | [1] |
| Operates on | Documents | [1] |
| Enables | Parallel Processing | [1] |
| Produces | Processed Documents | [1] |
| Coordinates | Worker Processes | [1] |
| Is Higher Order Function | true | [1] |
| Rdf:type | Method Call | [2] |
| Calls Function | Ingest Document Function | [2] |
| Applies to | Batch Variable | [2] |
| Passes Function | Ingest Document Function | [3] |
| Passes Collection | Documents List | [3] |
| Applies Function to | Documents List | [3] |
| Parallel Execution | true | [3] |
| Schedules | Ingest Document Function | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:claims/beam/3cca2fbf-b6c9-4756-9e7d-11034944be68- full textbeam-chunktext/plain1 KB
doc:beam/3cca2fbf-b6c9-4756-9e7d-11034944be68Show excerpt
- `pool.map(ingest_document, documents)`: Distributes the documents across the worker processes for parallel processing. 2. **Simulated Ingestion**: - `time.sleep(0.01)`: Simulates the ingestion time for each document. 3. **Logging*…
ctx:claims/beam/033a8e69-4536-4bb5-95fa-8622b141c188- full textbeam-chunktext/plain1 KB
doc:beam/033a8e69-4536-4bb5-95fa-8622b141c188Show excerpt
for i in range(0, len(documents), batch_size): batch = documents[i:i + batch_size] with Pool(processes=os.cpu_count()) as pool: pool.map(ingest_document, batch) def main(): documents = [f"document_{i}" f…
ctx:claims/beam/c74e97dd-23f2-45e9-9ec1-958b9896a948- full textbeam-chunktext/plain1 KB
doc:beam/c74e97dd-23f2-45e9-9ec1-958b9896a948Show excerpt
4. **Monitoring and Logging**: Implement monitoring and logging to ensure high uptime and diagnose issues quickly. ### Example Implementation Let's modify your code to use multiprocessing to handle the ingestion of documents concurrently.…
See also
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