Select Services

This section describes some of the services that can be run on a node.

Every installation requires services to manage jobs and applications. ResourceManager and NodeManager manage MapReduce version 2 and other applications that can run on YARN. In addition, HPE Ezmeral Data Fabric requires the ZooKeeper service to coordinate the cluster, and at least one node must run the CLDB service. The WebServer service is required if the browser-based Control System will be used.

After you install HPE Ezmeral Data Fabric core, you can install ecosystem components that belong to a Ecosystem Pack (MEP). A MEP provides a set of ecosystem components that work together. When a newer version or a revision to a component becomes available, the MEP version is updated to reflect the fact that an update was made. For details on the ecosystem components available in each MEP and the list of MEPs supported by your HPE Ezmeral Data Fabric cluster version, see Ecosystem Packs (MEPs).

The following table shows some of the services that can be run on a node:

Service Category Service

Description

Management Warden

Warden runs on every node, coordinating the node's contribution to the cluster. Warden is also responsible for managing the service state and its resource allocations on that node.

YARN NodeManager Hadoop YARN NodeManager service. The NodeManager manages node resources and monitors the health of the node. It works with the ResourceManager to manage YARN containers that run on the node.
HPE Ezmeral Data Fabric Core FileServer

FileServer is the HPE Ezmeral Data Fabric service that manages disk storage for filesystem and HPE Ezmeral Data Fabric Database on each node.

HPE Ezmeral Data Fabric Core CLDB

Maintains the container location database (CLDB) (CLDB) service. The CLDB service coordinates data storage services among filesystem file server nodes, and access across HPE Ezmeral Data Fabric NFS gateways, and HPE Ezmeral Data Fabric clients.

HPE Ezmeral Data Fabric Core NFS

Provides read-write HPE Ezmeral Data Fabric Direct Access NFS™ access to the cluster, with full support for concurrent read and write access.

Storage MapR HBase Client

Provides access to HPE Ezmeral Data Fabric Database binary tables via HBase APIs. Required on all nodes that will access table data in filesystem, typically all edge nodes for accessing table data. HBase API can also be accessed through the HBase Thrift and Rest Gateways.

YARN ResourceManager Hadoop YARN ResourceManager service. The ResourceManager manages cluster resources, and tracks resource usage and node health.
Management ZooKeeper

Internal service. Enables high availability (HA) and fault tolerance for HPE Ezmeral Data Fabric clusters by providing coordination.

YARN HistoryServer Archives MapReduce application metrics and metadata.
Management Web Server

Contains static Control System user interface pages.

Management Apiserver Allows you to perform cluster administration programmatically, and supports the Control System (see Setting Up the Control System).
OJAI Distributed Query Service Drill
Provides the distributed query service powered by Apache Drill for HPE Ezmeral Data Fabric Database JSON. Supports the following functionality:
  • Advanced secondary index selection
  • Sorts on large data sets
  • Parallel query execution
See OJAI Distributed Query Service for more details about the service.
Application Hue Hue is the Hadoop User Interface that interacts with Apache Hadoop and its ecosystem components, such as Hive, Pig, and Oozie. It also provides interactive notebook access to Spark through Livy.
Application Pig

Pig is a high-level data-flow language and execution framework.

Application Hive

Hive is a data warehouse engine that supports SQL-like adhoc querying and data summarization.

Application Flume

Flume is a service for piping and aggregating large amounts of log data

Application Oozie

Oozie is a workflow scheduler system for managing Hadoop jobs.

Application HCatalog

HCatalog provides applications with a table view of the filesystem layer of the cluster, expanding your options from read/write data streams to add-[Hive]-table operations such as get row and store row.

Application Cascading

Cascading is an application framework for analyzing and managing big data.

Application Spark Spark is a processing engine for large datasets. While it can be deployed locally or standalone, the recommended deployment is on YARN. The application timeline server component provides a historical view of query details.
Application Sqoop

Sqoop is a library for transferring bulk data between Hadoop and relational databases.