HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
- Administering Users and Clusters
  Lists topics that help manage a MapR cluster.
- Administering Nodes
  Provides a synopsis of managing nodes in a cluster.
- Administering Volumes
  This section provide information about how to organize and manage data using volumes, a unique feature of MapR clusters.
- Administering Files and Directories
- Administering Tables
  Administration of the MapR Database is done primarily via the command line (maprcli) or with the Managed Control System (MCS). Regardless of whether the MapR Database table is used for binary files or JSON documents, the same types of commands are used with slightly different parameter options. MapR Database administration is associated with tables, columns and column families, and table regions.
- Administering Streams
  - Managing Streams
    This topic provides information about managing streams in MapR Event Store For Apache Kafka.
    - Creating a Stream
      Explains how to create a stream using the Control System and the CLI.
    - Editing a Stream
      Describes how to edit streams using the Control System and the CLI.
    - Encrypting a Stream
      Apply an additional layer of security to streams by encrypting them.
    - Defining ACEs
      Describes how to build ACEs using the Expression Builder.
    - Removing Streams
      Explains how to delete a stream using either the Control System or the CLI.
    - Viewing a List of Streams
      Describes how to view the list of streams using the Control System.
    - Viewing Stream Information
      Explains how to view stream information including stream properties, topics, and replication settings using the Control System and the CLI.
  - Managing Topics
    Topics are logical collections of messages. The following sections describe how to create and manage topics.
  - Managing Stream Replication
    This section contains topics about setting up stream replication and administering existing replicas.
  - Preparing Clusters for Log Compaction
    Describes how to prepare your environment so you can use log compaction.
  - Mirroring Topics with Apache Kafka MirrorMaker
    Use the Apache Kafka MirrorMaker utility either to mirror topics that are in Apache Kafka clusters to streams that are in MapR Data Platform clusters or to Mirror topics that are in MapR Data Platform clusters to Apache Kafka clusters.
- Administering MapR Gateways
  A MapR gateway mediates one-way communication between a source MapR cluster and a destination cluster. You can replicate MapR Database tables (binary and JSON) and MapR Event Store For Apache Kafka streams. MapR gateways also apply updates from JSON tables to their secondary indexes and propagate Change Data Capture (CDC) logs.
- Administering Services
- Monitoring the Cluster
  This section describes how to monitor the health and performance of a MapR cluster.
- Configuring Security
  Describes how to configure security and manage secure clusters.
- Managing Secure Clusters
  Provides procedures that will enable you to use MapR clusters securely.
- Administering the MapR Data Access Gateway
  The MapR Data Access Gateway is a service that acts as a proxy and gateway for translating requests between lightweight client applications and the MapR cluster. This section describes considerations when upgrading the service, how to modify configuration settings, and how to administer and manage the service.
- Planning for High Availability
- Administrator's Reference
  This section contains in-depth reference information for the administrator.
- Troubleshooting Cluster Administration
  Lists the common errors and their solutions.
- Best Practices for Backing Up MapR Information
  Lists the best practices and performance considerations to follow when backing up MapR information.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Viewing a List of Streams

Describes how to view the list of streams using the Control System.

Listing Streams in a Volume

Procedure

Log in to the Control System and click Data > Streams to view all the volumes that you have access to.

NOTE This option is not available in the Kubernetes version of the Control System.

For each volume, the pane displays the following:

Column Name	Column Description
Name	The name of the volume.
Type	The type. Value can be: — Volume — Directory — Stream
Owner	The name of the owner.
Last Modified	The last modification date and timestamp.

Click the name of the volume (to browse to the path to the stream) or enter the name of the volume in the text field.
The streams in the selected volume display. If necessary, click to return to All volumes view.

Listing Streams by Stream Path

About this task

Procedure

Log in to the Control System and click Data > Streams.
NOTE This option is not available in the Kubernetes version of the Control System.
Enter the path to the stream in the search field and click GO.