YARN
E185672
YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
All labels observed (3)
| Label | Occurrences |
|---|---|
| YARN canonical | 7 |
| Hadoop YARN | 2 |
| Hadoop MapReduce v1 JobTracker | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1647830 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: YARN Context triple: [Hadoop, hasComponent, YARN]
-
A.
yarn
Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
-
B.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
C.
Yarn 1 (Classic)
Yarn 1 (Classic) is the original stable release line of the Yarn JavaScript package manager, known for its fast, reliable dependency installation and lockfile-based reproducible builds.
-
D.
Apache Mesos
Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
-
E.
B Reactor
B Reactor is the world’s first full-scale plutonium production reactor, built during the Manhattan Project at the Hanford Site in Washington State.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: YARN Target entity description: YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
-
A.
yarn
Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
-
B.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
C.
Yarn 1 (Classic)
Yarn 1 (Classic) is the original stable release line of the Yarn JavaScript package manager, known for its fast, reliable dependency installation and lockfile-based reproducible builds.
-
D.
Apache Mesos
Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
-
E.
B Reactor
B Reactor is the world’s first full-scale plutonium production reactor, built during the Manhattan Project at the Hanford Site in Washington State.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Hadoop component
ⓘ
cluster resource management framework ⓘ job scheduling framework ⓘ |
| allocates |
CPU resources
ⓘ
disk resources ⓘ memory resources ⓘ network resources ⓘ |
| designedFor | large-scale distributed systems ⓘ |
| developedBy | Apache Software Foundation ⓘ |
| fullName | Yet Another Resource Negotiator ⓘ |
| hasComponent |
ApplicationMaster
ⓘ
Container ⓘ NodeManager ⓘ ResourceManager ⓘ |
| introducedIn |
Hadoop
ⓘ
surface form:
Apache Hadoop 2.x
|
| license | Apache License 2.0 ⓘ |
| partOf |
Hadoop
ⓘ
surface form:
Apache Hadoop ecosystem
|
| programmingLanguage | Java ⓘ |
| replaces |
Hadoop MapReduce v1 JobTracker
ⓘ
ApplicationMaster ⓘ
surface form:
Hadoop MapReduce v1 TaskTracker
|
| roleOfApplicationMaster | application-level scheduling ⓘ |
| roleOfNodeManager | node-level resource management ⓘ |
| roleOfResourceManager | cluster-level resource arbitration ⓘ |
| runsOn | commodity hardware clusters ⓘ |
| supports |
batch processing
ⓘ
graph processing ⓘ interactive processing ⓘ machine learning workloads ⓘ stream processing ⓘ |
| supportsFeature |
FIFO scheduler
ⓘ
capacity scheduler ⓘ fair scheduler ⓘ high availability for ResourceManager ⓘ preemption (in some schedulers) ⓘ resource isolation via containers ⓘ resource queues ⓘ security via Kerberos ⓘ |
| supportsFramework |
Apache Flink
ⓘ
Apache Tez ⓘ
surface form:
Apache Hive on Tez
Apache Pig on Tez ⓘ Apache Spark ⓘ Apache Storm ⓘ
surface form:
Apache Storm (via integration)
Apache Tez ⓘ MapReduce ⓘ |
| usedFor |
cluster resource management
ⓘ
distributed data processing ⓘ job scheduling ⓘ multi-tenant cluster sharing ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: YARN Description of subject: YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.