DataNode
E830288
DataNode is a core component of Hadoop's HDFS responsible for storing actual data blocks on local storage and serving read/write requests from clients and the NameNode.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DataNode canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9925963 — 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: DataNode Context triple: [HDFS, storesBlocksOn, DataNode]
-
A.
Secondary NameNode
The Secondary NameNode is an auxiliary HDFS service that periodically checkpoints and merges filesystem metadata to help keep the primary NameNode’s namespace image compact and manageable.
-
B.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
C.
Netnod
Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
-
D.
GlusterFS
GlusterFS is a scalable, distributed file system that aggregates storage resources across multiple servers into a single, networked filesystem.
-
E.
Storage Area Network
A Storage Area Network (SAN) is a high-speed, specialized network that provides block-level access to consolidated storage, enabling servers to share centralized disk resources for improved performance, scalability, and manageability.
- 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: DataNode Target entity description: DataNode is a core component of Hadoop's HDFS responsible for storing actual data blocks on local storage and serving read/write requests from clients and the NameNode.
-
A.
Secondary NameNode
The Secondary NameNode is an auxiliary HDFS service that periodically checkpoints and merges filesystem metadata to help keep the primary NameNode’s namespace image compact and manageable.
-
B.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
C.
Netnod
Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
-
D.
GlusterFS
GlusterFS is a scalable, distributed file system that aggregates storage resources across multiple servers into a single, networked filesystem.
-
E.
Storage Area Network
A Storage Area Network (SAN) is a high-speed, specialized network that provides block-level access to consolidated storage, enabling servers to share centralized disk resources for improved performance, scalability, and manageability.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
HDFS component
ⓘ
Hadoop daemon ⓘ |
| belongsTo | Hadoop cluster NERFINISHED ⓘ |
| canBe |
decommissioned
ⓘ
recommissioned ⓘ |
| canHost | multiple block replicas ⓘ |
| canUse | TLS for data transfer ⓘ |
| checks | block checksums ⓘ |
| communicatesWith |
HDFS clients
ⓘ
NameNode NERFINISHED ⓘ |
| configuredBy | hdfs-site.xml ⓘ |
| contrastedWith | NameNode NERFINISHED ⓘ |
| dependsOn |
Java Virtual Machine
NERFINISHED
ⓘ
underlying operating system ⓘ |
| developedFor | Apache Hadoop NERFINISHED ⓘ |
| exposes | data transfer protocol ⓘ |
| failureImpact | causes block unavailability until replicas are used ⓘ |
| handles |
pipeline writes
ⓘ
streaming reads ⓘ |
| identifiedBy |
network address
ⓘ
storage ID ⓘ |
| implementsProtocol | DataNode protocol ⓘ |
| introducedIn | early versions of Apache Hadoop ⓘ |
| logs | I/O operations ⓘ |
| monitoredBy | NameNode NERFINISHED ⓘ |
| participatesIn |
HDFS block placement
ⓘ
HDFS rebalancing ⓘ HDFS replication ⓘ |
| partOf |
HDFS
NERFINISHED
ⓘ
Hadoop Distributed File System NERFINISHED ⓘ |
| persists | HDFS blocks as files ⓘ |
| persistsMetadata | block metadata on local disk ⓘ |
| reportsTo | NameNode NERFINISHED ⓘ |
| responsibleFor |
serving read requests for data blocks
ⓘ
serving write requests for data blocks ⓘ storing HDFS data blocks ⓘ |
| roleComparedToNameNode | stores data while NameNode stores metadata ⓘ |
| runsAs | background service ⓘ |
| runsOn | worker node ⓘ |
| securedBy | HDFS security mechanisms ⓘ |
| sends |
block reports
ⓘ
heartbeats ⓘ |
| stores | data blocks on local storage ⓘ |
| supportsFeature | rack awareness via NameNode ⓘ |
| supportsOperation |
block creation
ⓘ
block deletion ⓘ block recovery ⓘ block replication ⓘ |
| uses | local file system ⓘ |
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: DataNode Description of subject: DataNode is a core component of Hadoop's HDFS responsible for storing actual data blocks on local storage and serving read/write requests from clients and the NameNode.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.