Abstract Processor
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Abstract Processor has 7 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), language(1), extended by(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
belongs-toBelongs to(1)
- On Trigger Method
ex:on-trigger-method
dependsOnDepends on(1)
- Modular Document Processor
ex:modular-document-processor
extendsExtends(1)
- Batch Processor
ex:batch-processor
is-subclass-ofIs Subclass of(1)
- Batch Processor
ex:batch-processor
Other facts (7)
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 |
|---|---|---|
| Rdf:type | Interface | [1] |
| Rdf:type | Java Class | [2] |
| Language | Java | [2] |
| Extended by | Batch Processor | [2] |
| Api Component of | Nifi | [2] |
| Is Base Class for | Batch Processor | [2] |
| Defines | Ontrigger Contract | [2] |
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 (2)
ctx:claims/beam/0eb24d8e-721c-4d73-aa84-d3b1817b2b42- full textbeam-chunktext/plain1 KB
doc:beam/0eb24d8e-721c-4d73-aa84-d3b1817b2b42Show excerpt
Now, create a modular document processor that can handle multiple processors. ```python class ModularDocumentProcessor: def __init__(self): self.processors = {} def register_processor(self, file_extension, processor): …
ctx:claims/beam/bfb8cdad-f616-48a0-8299-cc2da08f425b- full textbeam-chunktext/plain1 KB
doc:beam/bfb8cdad-f616-48a0-8299-cc2da08f425bShow excerpt
if __name__ == "__main__": main() ``` ### Custom NiFi Processor To integrate your Python code with NiFi, you can create a custom NiFi processor: 1. **Create a Custom Processor**: - Extend the `AbstractProcessor` class in Java. …
See also
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