ApplicationMaster
E702186
ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
All labels observed (4)
| Label | Occurrences |
|---|---|
| ApplicationMaster canonical | 2 |
| DAGAppMaster | 1 |
| Hadoop MapReduce v1 TaskTracker | 1 |
| YARN ApplicationMaster for MapReduce | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7985409 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ApplicationMaster Context triple: [Yet Another Resource Negotiator, architectureComponent, ApplicationMaster]
-
A.
YARN
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.
-
B.
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.
-
C.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
D.
Mesos master
Mesos master is the central coordination service in an Apache Mesos cluster that manages resource allocation and scheduling across slave/agent nodes.
-
E.
Mesos agent
Mesos agent is the worker node process in an Apache Mesos cluster responsible for running and managing tasks and containers on individual machines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ApplicationMaster Target entity description: ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
-
A.
YARN
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.
-
B.
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.
-
C.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
-
D.
Mesos master
Mesos master is the central coordination service in an Apache Mesos cluster that manages resource allocation and scheduling across slave/agent nodes.
-
E.
Mesos agent
Mesos agent is the worker node process in an Apache Mesos cluster responsible for running and managing tasks and containers on individual machines.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
YARN component
ⓘ
per-application coordinator ⓘ |
| associatedWith | ApplicationId ⓘ |
| canBe | framework-specific implementation ⓘ |
| communicatesWith |
NodeManager
ⓘ
ResourceManager ⓘ application tasks ⓘ |
| contrastsWith | ResourceManager as cluster-level scheduler ⓘ |
| coordinates |
mapping of tasks to containers
ⓘ
scheduling of tasks within allocated resources ⓘ |
| exposes | application-specific APIs or protocols ⓘ |
| failureHandledBy | ResourceManager relaunching new attempt ⓘ |
| handles |
application-level fault tolerance
ⓘ
speculative execution decisions (framework-dependent) ⓘ task retries ⓘ |
| hasRole |
application lifecycle manager
ⓘ
per-application coordinator ⓘ resource negotiation manager ⓘ task execution manager ⓘ |
| identifiedBy | ApplicationAttemptId ⓘ |
| implements | application-specific scheduling policies ⓘ |
| launchedBy | ResourceManager ⓘ |
| lifecycleEndsWhen | application finishes or fails ⓘ |
| lifecycleStartsWhen | application is accepted by ResourceManager ⓘ |
| mayProvide | web UI for application monitoring ⓘ |
| monitors |
containers allocated to the application
ⓘ
task status ⓘ |
| partOf |
Apache Hadoop YARN
ⓘ
linked to:
YARN
|
| perspective | application-level view of cluster resources ⓘ |
| reportsTo | ResourceManager ⓘ |
| responsibleFor |
handling task failures
ⓘ
launching tasks in containers ⓘ managing application lifecycle ⓘ monitoring task execution ⓘ negotiating containers ⓘ reporting application status to ResourceManager ⓘ requesting resources from ResourceManager ⓘ tracking overall application progress ⓘ |
| runsIn | YARN container ⓘ |
| runsPer | YARN application ⓘ |
| runsWithin | YARN ⓘ |
| scope | single application ⓘ |
| supports | multiple attempts for an application ⓘ |
| usedBy |
MapReduce on YARN
ⓘ
linked to:
MapReduce
Spark on YARN ⓘ
linked to:
Spark
Tez on YARN ⓘ
linked to:
Apache Tez
|
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.
Instruction
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.
Input
Subject: ApplicationMaster Description of subject: ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ApplicationMaster