HiveServer2
E705293
HiveServer2 is a service component of Apache Hive that provides a secure, multi-client, and concurrent interface for executing Hive queries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HiveServer2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7985656 — 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: HiveServer2 Context triple: [Apache Hive, usesComponent, HiveServer2]
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
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.
-
C.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
D.
Apache Sqoop
Apache Sqoop is an open-source tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
-
E.
IMPALA
IMPALA is a scalable deep reinforcement learning architecture designed for efficient distributed training of agents across many tasks and environments.
- 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: HiveServer2 Target entity description: HiveServer2 is a service component of Apache Hive that provides a secure, multi-client, and concurrent interface for executing Hive queries.
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
-
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.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
E.
Apache Sqoop
Apache Sqoop is an open-source tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Hive service
ⓘ
software component ⓘ |
| accesses | Hive Metastore NERFINISHED ⓘ |
| canUse |
MapReduce execution engine
ⓘ
Spark execution engine ⓘ Tez execution engine ⓘ |
| communicatesWith | Hive execution engine NERFINISHED ⓘ |
| configuredBy | hive-site.xml ⓘ |
| designedFor |
fine-grained security
ⓘ
multi-client concurrency ⓘ |
| developedBy | Apache Software Foundation NERFINISHED ⓘ |
| executes | HiveQL queries ⓘ |
| exposes | Thrift server endpoint ⓘ |
| implements | HiveServer2 Thrift API NERFINISHED ⓘ |
| introducedAsReplacementFor | HiveServer1 NERFINISHED ⓘ |
| listensOn | configurable TCP port ⓘ |
| partOf | Apache Hive NERFINISHED ⓘ |
| provides | service interface for executing Hive queries ⓘ |
| runsOn | Java Virtual Machine NERFINISHED ⓘ |
| supports |
JDBC clients
ⓘ
ODBC clients ⓘ Thrift clients ⓘ authentication ⓘ authorization ⓘ configurable concurrency limits ⓘ connection pooling ⓘ multiple concurrent clients ⓘ query timeouts ⓘ secure client connections ⓘ |
| supportsAuthenticationMechanism |
CUSTOM authentication plugins
ⓘ
Kerberos NERFINISHED ⓘ LDAP NERFINISHED ⓘ PAM NERFINISHED ⓘ |
| supportsAuthorizationModel |
Ranger-based authorization
ⓘ
SQL standard based authorization ⓘ Sentry-based authorization ⓘ |
| supportsFeature |
impersonation
ⓘ
metadata operations ⓘ query cancellation ⓘ result set fetching ⓘ session-based execution ⓘ |
| supportsSecurityProtocol | SSL/TLS ⓘ |
| supportsTransport |
HTTP transport
ⓘ
binary Thrift transport ⓘ |
| usedFor |
BI tool connectivity to Hive
ⓘ
reporting and analytics workloads ⓘ |
| usedIn | Hadoop ecosystem NERFINISHED ⓘ |
| usesProtocol | Apache Thrift NERFINISHED ⓘ |
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: HiveServer2 Description of subject: HiveServer2 is a service component of Apache Hive that provides a secure, multi-client, and concurrent interface for executing Hive queries.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.