The following table is a list of the ports required by the Incorta Direct Data Platform at startup. Using these ports will significantly help avoid startup issues. You set up some of these ports during the installation process. Others are fixed values and cannot be changed. Using the recommended ports will significantly help avoid startup issues.
Certain ports must be open and reachable through the network and these are indicated in the table below.
The table below references file names. You can find the catalina.properties file and the server.xml file at the path: <INSTALLATION_PATH>/IncortaNode/services/<SERVICE_FOLDER>/conf/. Other files mentioned in the table can be found under: <INSTALLATION_PATH>/IncortaNode/.
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Port #
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Purpose
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Where to change it
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Notes
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80
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HTTP traffic Apache Web Server (if installed)
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Admin Task
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If installing Apache, ports 80 and 443 should be open by default.
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4500
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Node Agent Port
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/nodeAgent/nodeAgent.cfg
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Installed on each node to connect that node to the CMC
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5442
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SQL Interface (SQLi) port
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TMT/Cluster Management Console (CMC)
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If the client (e.g., Tableau) exists on a remote server, this port must be open for remote access.
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5436
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Incorta (memory)
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TMT/Cluster Management Console (CMC)
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If the client (e.g., Tableau) exists on a remote server, this port must be open for remote access.
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8080
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Tomcat HTTP port
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server.xml
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|
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8443
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HTTPS traffic, Tomcat HTTPS for SSL
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server.xml
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8009
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Tomcat AJP port
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server.xml
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|
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6060
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HTTP Port
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catalina.properties
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|
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6443
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HTTP/AJP redirect Port
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catalina.properties
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|
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6009
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AJP Port
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catalina.properties
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7077
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Spark Master Port
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Spark configuration
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If Spark exists on a remote server, this port must be open for remote access.
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7078
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Spark Worker Port
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Spark configuration
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If Spark exists on a remote server, this port must be open for remote access.
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9091
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Spark Master Web UI Port
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spark-env.sh
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For Spark master, this port must be open for remote access to monitor the Spark jobs and logs.
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9092
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Spark Worker Web UI Port
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spark-env.sh
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For Spark worker, this port must be open for remote access to monitor the Spark jobs and logs.
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30000
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Job ports
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N/A
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Spark dynamically selects ports in the high range.
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