Add DFS workers on all or selected search peers. Customize resource usage by leveraging workload management (WLM) to allocate CPU and memory. High availability that allows an alternate search head captain to restart the Spark master, in case the search head captain fails. For search heads in a search head cluster:Install the app using a search head cluster deployer.ĥ) DFSmaster automatically starts on the search head (in standalone mode) and on the search head captain in a search head cluster.Ħ) Access the Splunk DFS manager UI on the search head that runs as the DFS master.ħ) Add the provisioned search peers as the DFS workers. For indexers in an indexer cluster: Install the app using a cluster master. Splunk DFS Manager installation and configuration:ģ) Add the nodes as distributed search peers to the search head.Ĥ) Install the app on the search head and search peers. Additionally, the app helps you to continuously and seamlessly manage, configure, and monitor your Spark cluster and customize the resource allocation within your DFS deployment from any search head through a scalable and adaptive user interface to run a DFS search. The app automatically bundles, installs, and configures Apache Spark that is required for DFS. The Splunk DFS Manager app enables you to run Data Fabric Search (DFS).
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