![offset explorer offset explorer](https://offsetexplorer.com/documentation/sshots/connecting_zookeeper.png)
With these controls, you can start generating and receiving data
![offset explorer offset explorer](https://images.customwheeloffset.com/web-compressed/657400-1-1998-explorer-ford-fox-suspension-lift-4in-xf-offroad-xf-211-machined-black.jpg)
Mind the Add producer and Add consumer buttons in the Kafka monitoring tool window.
OFFSET EXPLORER UPDATE
Alternatively, you can configure the automatic update within a certain time interval in the list located next to the Refresh button. Filter out the monitoring dataĬlick a column header to change the order of data in the column.Ĭlick Show/Hide columns on the toolbar to select the columns to be shown in the table:Īt any time, you can click on the Kafka connection tool window to manually refresh the monitoring data. Once you have set up the layout of the monitoring window, opened or closed some preview areas, you can filter the monitoring data to preview particular job parameters.
OFFSET EXPLORER FULL
When you enable the full config options in the Configuration tab, you can see the options that do not change their default values. These topics are created by the application and are only used by that stream application. To manage visibility of the monitoring areas, use the buttons: Switch to the Configuration tab to review the config options. On the right pane, select a partition to study in the Partitions tab. In the list of the Kafka topics, select a target topic to preview. Topics: Categories divided on partitions to which Kafka records are stored.Ĭonsumers: A view of all consumer groups for all topics in a cluster. The window consists of the several areas to monitor data for: Once you have established a connection to the Kafka server, the Kafka connection tool window appears. Go to the Tools | Big Data Tools Settings page of the IDE settings Ctrl+Alt+S.Ĭlick on the Kafka connection tool window toolbar. Then click OK.Īt any time, you can open the connection settings in one of the following ways: Once you fill in the settings, click Test connection to ensure that all configuration parameters are correct. By default, the newly created connections are enabled.Ĭlick the question mark next to the Kafka support is limited message to preview the list of the currently supported features. Deselect it if you want this connection to be visible in other projects.Įnable connection: deselect if you want to restrict using this connection. Per project: select to enable these connection settings only for the current project.
![offset explorer offset explorer](https://images.customwheeloffset.com/web-compressed/386007-3-2004-explorer-ford-traxda-suspension-lift-25in-pro-comp-69-black.jpg)
Select the checkbox and specify a configuration of an SSH connection (click.
![offset explorer offset explorer](https://www.eauduparc.com/images/heronniere-c9c8e3f0.png)
It can be useful if the target server is in a private network but an SSH connection to the host in the network is available. Creates an SSH tunnel to the remote host. You start typing a property name and press Ctrl+Space to get a target property.Įnable tunneling. You can specify a file with the properties or the properties will be retrieved from Kafka documentation. Properties: the list of configurable connection parameters. Name: the name of the connection to distinguish it between the other connections. The Big Data Tools Connection dialog opens. In the Big Data Tools window, click and select Kafka under the Monitoring section. The Big Data Tools plugin lets you monitor your Kafka event streaming processes.