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Creating a connection to MapR-DB


  1. Expand the Hadoop cluster node under the Metadata node of the Repository tree, right-click the MapR connection to be used and select Create MapRDB from the contextual menu.
  2. In the connection wizard that opens up, fill in the generic properties of the connection you need create, such as Name, Purpose and Description. The Status field is a customized field that you can define in File > Edit project properties.
  3. Click Next to proceed to the next step, which requires you to fill in the MapR-DB connection details. Among them, DB Type, Hadoop cluster, Distribution, MapR-DB version and Server are automatically pre-filled with the properties inherited from the MapR connection you selected in the previous steps.
    Note that if you choose None from the Hadoop cluster list, you are actually switching to a manual mode in which the inherited properties are abandoned and instead you have to configure every property yourself, with the result that the created connection appears under the Db connection node only.
  4. In the Port field, fill in the port number of the MapR-DB database to be connected to. The default number is 5181, which is actually the port to the nodes running Zookeeper services.
    Information noteNote:

    In order to make the host name of the MapR server recognizable by the client and the host computers, you have to establish an IP address/hostname mapping entry for that host name in the related hosts files of the client and the host computers. For example, the host name of the MapR server is myMapR, and its IP address is 192.168.x.x, then the mapping entry reads 192.168.x.x myMapR. For the Windows system, you need to add the entry to the file C:\WINDOWS\system32\drivers\etc\hosts (assuming Windows is installed on drive C). For the Linux system, you need to add the entry to the file /etc/hosts.

  5. In the Column family field, enter the column family if you want to filter columns, and click Check to check your connection
  6. If the database to be used is running with Kerberos security, select the User Kerberos authentication check box, then, enter the principal names in the displayed fields. You should be able to find the information in the hbase-site.xml file of the MapR cluster to be used.
    If you need to use a keytab file to log in, select the Use a keytab to authenticate check box. A keytab file contains pairs of Kerberos principals and encrypted keys. You need to enter the principal to be used in the Principal field and in the Keytab field, browse to the keytab file to be used.
    Note that the user that executes a keytab-enabled Job is not necessarily the one a principal designates but must have the right to read the keytab file being used. For example, the user name you are using to execute a Job is user1 and the principal to be used is guest; in this situation, ensure that user1 has the right to read the keytab file to be used.
  7. If the MapR cluster to be used is secured with the MapR ticket authentication mechanism, select Force MapR Ticket authentication, in order to set the related security configuration.
    1. Select the Force MapR ticket authentication check box to display the related parameters to be defined.
    2. In the Username field, enter the username to be authenticated and in the Password field, specify the password used by this user.
      A MapR security ticket is generated for this user by MapR and stored in the machine where the Job you are configuring is executed.
    3. If the Group field is available in this tab, you need to enter the name of the group to which the user to be authenticated belongs.
    4. In the Cluster name field, enter the name of the MapR cluster you want to use this username to connect to.
      This cluster name can be found in the mapr-clusters.conf file located in /opt/mapr/conf of the cluster.
    5. In the Ticket duration field, enter the length of time (in seconds) during which the ticket is valid.
  8. If you need to use custom configuration for the MapR-DB distribution to be used, click the [...] button next to Hadoop properties to open the properties table and add the property or properties to be customized. Then at runtime, these changes will override the corresponding default properties used by the Studio for its Hadoop engine.
    Note a Parent Hadoop properties table is displayed above the current properties table you are editing. This parent table is read-only and lists the MapR properties that have been defined in the wizard of the parent MapR connection on which the current MapR-DB connection is based.
    For further information about the properties of MapR, see MapR documentation or more general documentation from Apache Hadoop.
    Because of the close relation between HBase and MapR-DB, for further information about the properties of MapR-DB, see Apache documentation for HBase. For example, this page describes some of the HBase configuration properties.
    For further information about how to leverage this properties table, see Setting reusable Hadoop properties.
  9. Click Finish to validate the changes.
    The newly created MapR connection appears under the Hadoop cluster node of the Repository tree. In addition, as a MapR-DB connection is a database connection, this new connection appears under the Db connections node, too.


If you need to use an environmental context to define the parameters of this connection, click the Export as context button to open the corresponding wizard and make the choice from the following options:
  • Create a new repository context: create this environmental context out of the current Hadoop connection, that is to say, the parameters to be set in the wizard are taken as context variables with the values you have given to these parameters.

  • Reuse an existing repository context: use the variables of a given environmental context to configure the current connection.

If you need to cancel the implementation of the context, click Revert context. Then the values of the context variables being used are directly put in this wizard.

For a step-by-step example about how to use this Export as context feature, see Exporting metadata as context and reusing context parameters to set up a connection.

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