HPE Ezmeral Data Fabric 6.2 is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About Release 6.2
This site contains documentation for HPE Ezmeral Data Fabric release 6.2 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
6.2 Installation
This section contains information about installing and upgrading HPE Ezmeral Data Fabric software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a HPE Ezmeral Data Fabric cluster.
6.2 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.2 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 data-fabric 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 HPE Ezmeral Data Fabric clusters.
- Administering Files and Directories
- Administering Tables
  Administration of the HPE Ezmeral Data Fabric Database is done primarily via the command line (maprcli) or with the Managed Control System (MCS). Regardless of whether the HPE Ezmeral Data Fabric Database table is used for binary files or JSON documents, the same types of commands are used with slightly different parameter options. HPE Ezmeral Data Fabric Database administration is associated with tables, columns and column families, and table regions.
  - Managing Tables
    HPE Ezmeral Data Fabric Database supports two types of table: binary tables and JSON tables. This section covers how to create, edit, and delete tables, as well as how to set parameter values, display parameter values, grant permissions and access, replicate tables, and more using the Control System and the CLI.
  - Managing Column Families and Columns
    This section covers overviews of column families in binary tables and JSON tables, how to create column families, alter them, delete them, set permissions on them, and set and display parameter values.
  - Managing Table Replication
    This section contains topics about setting up table replication and administering existing replicas.
  - Managing Secondary Indexes
    Describes how to manage secondary indexes, including adding, deleting, and listing indexes, setting up your cluster for querying, and troubleshooting index usage.
  - Administering Change Data Capture
    This topic covers the Control System and maprcli tools for managing the Change Data Capture (CDC) feature.
    - Setting Up CDC
      Describes the requirements and how to set up Change Data Capture (CDC).
    - Managing Table Changelogs
      Describes how to manage CDC table changelogs through the Control System and maprcli.
      - Adding a Change Data Log
        Explains how to add a change data log using the Control System and the CLI.
      - Viewing the List of Change Logs
        Explains how to view the list of change logs using the Control System or the CLI.
      - Viewing Change Log Information
        Explains how to view information about a specific change log using the CLI.
      - Editing a Change Log
        Explains how to modify a change log associated with a table using either the Control System or the CLI.
      - Pausing Data Propagation
        Explains how to pause data propagation using either the Control System or the CLI.
      - Resuming Data Propagation
        Explains how to resume a paused change log using either the Control System or the CLI.
      - Removing Change Logs
        Describes how to remove change logs using either the Control System or the CLI.
    - Troubleshooting Changelogs
  - Indexing HPE Ezmeral Data Fabric Database Binary Tables with Elasticsearch
    As of with MapR 6.0, HPE Ezmeral Data Fabric Database Elastic Search integration capability is deprecated and no longer available in the HPE Ezmeral Data Fabric Database product.
- Administering Streams
- Administering Data Fabric Gateways
  A HPE Ezmeral Data Fabric gateway mediates one-way communication between a source HPE Ezmeral Data Fabric cluster and a destination cluster. You can replicate HPE Ezmeral Data Fabric Database tables (binary and JSON) and HPE Ezmeral Data Fabric Streams streams. HPE Ezmeral Data Fabric 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 Data Access Gateway
  The HPE Ezmeral Data Fabric Data Access Gateway is a service that acts as a proxy and gateway for translating requests between lightweight client applications and the HPE Ezmeral Data Fabric 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 HPE Ezmeral Data Fabric Information
  Lists the best practices and performance considerations to follow when backing up HPE Ezmeral Data Fabric information.
6.2 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Ezmeral Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other data-fabric version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Resuming Data Propagation

Explains how to resume a paused change log using either the Control System or the CLI.

Resuming Data Propagation Using the Control System

Procedure

Log in to the Control System and go to the Change Data Capture tab in the table information page.
Select the change log(s) to pause.
Selecting the checkbox next to a change log makes the Actions drop-down menu available.
Select Resume Data Propagation from the Actions drop-down menu to display the Resume Data Capture confirmation dialog.
Review the change log(s) to resume and click Resume Data Capture.

Resuming Data Propagation Using the CLI or REST API

About this task

The basic command to resume change data propagation is:

maprcli table changelog resume

For complete reference, see table changelog resume.