CDP Multi-node, Multi-KDC, Multi-Cluster

This document provides you with a step by step process to deploy single Pulse instance for multiple Cloudera clusters with multiple KDCs.

Prerequisites

Ensure you have the following information for both clusters:

  1. CM URL (https://<Alias/FQDN of the CM URL>:<CM Port>)
  2. CM Username
  3. CM Password
  4. Spark History HDFS path & Spark3 History HDFS path
  5. Kafka Version
  6. Hbase Version
  7. Hive Version
  8. Hive Metastore DB Connection URL
  9. Hive Metastore Database Name
  10. Hive Metastore DB Username
  11. Hive Metastore DB Password
  12. Oozie DB Name
  13. Oozie DB URL
  14. Oozie DB Username
  15. Oozie DB Password
  16. Kerberos Keytab
  17. krb5.conf file
  18. Principal
  19. Kerberos Username
  20. cacerts/jssecacerts
  21. YARN Scheduler Type
  22. Kafka Interbroker protocol

To enable (TLS) HTTPS for Pulse Web UI Configuration, ensure you have the following present:

  1. Certificate File: cert.crt
  2. Certificate Key: cert.key
  3. CA Certificate: ca.crt (optional)
  4. Decide whether to keep the HTTP port (Default: 4000) open or not
  5. Decide on which port to use (default: 443)

Uninstallation of Agents

Perform the following:

  1. To uninstall agents, you must follow the Cloudera Parcel Agent document.
  2. You must also remove the Pulse JARs and the configurations for Hive and Tez.
  3. The Acceldata team must then run the following commands for backup and uninstalling the existing Pulse application.

a. Create a backup directory:

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b. To backup, copy the entire config and workdirectory:

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c. Uninstall the existing Pulse setup by running the following command:

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  1. Logout from the terminal session.
  2. Perform the aforementioned steps for all Pulse server nodes.

Download and Load the Binaries and Docker Images

To download and load the binaries and Docker images, perform the following:

  1. Download the jars, hystaller, accelo binaries and docker images from the download links provided by the Acceldata team.
  2. Move the Docker images and jars into the following directory:
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  1. Copy the binaries and tar files into the /data01/images folder:
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  1. Change the directory:
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  1. Extract the single tar file:
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  1. Load the Docker images by running the following command:
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  1. Ensure that all the images are loaded to the server by running the following command:
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Cluster Configuration

To configure the cluster, perform the following:

  1. Validate all the host files.
  2. Create the acceldata directory by running the following command:
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  1. Place the accelo binary in the /data01/acceldata directory:
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  1. Rename the accelo.linux binary to accelo:
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  1. Change the directory:
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  1. Run the following accelo init command:
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  1. Enter the appropriate answers when prompted.
  2. Source the ad.sh file:
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  1. To enter the Pulse version, run the init command:
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Provide the correct Pulse version, in this case its 3.3.3
  1. To get the initial information, run the accelo info command:
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  1. To enable multi-KDC, perform the following:

a. Modify the accelo.yml file.

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b. Change IsMutliKDCclusterEnabled to true.

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c. Save the file.

  1. To configure the cluster in Pulse, run the config cluster command.
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  1. Provide appropriate answers when prompted.
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  1. Run the config cluster for the second cluster.
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  1. Perform the below mentioned steps for both the clusters.
  2. Edit the acceldata.conf file for the changes for MultiNode deployment.
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  1. Update the elastic section of the connections collection.
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  1. Save the file.
  2. Change the directory to work/<clustername>
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  1. Create the override.yml file if not yet created.
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  1. Enter the following code and edit as required:
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  1. Save the file.

Deploy Core

  1. Deploy the Pulse core components by running the following command:
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  1. Push the configurations for all the clusters.
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Configure SSL for Connectors and Streaming

If you have TLS/SSL enforced for any of the Hadoop components in the target cluster, you must mount the Java truststore files inside the following Pulse service containers:

  1. ad-connectors
  2. ad-sparkstats
  3. ad-streaming
  4. ad-kafka-connector
  5. ad-kafka-0-10-2-connector
  6. ad-fsanalyticsv2-connector

For Kafka connectors, verify the version of Kafka running in the cluster, and then generate the configurations accordingly based on that version.

These are the only services that will connect to the respective Hadoop components of the cluster over the HTTPS URI.

Ensure that the permissions of these files are set to 0655 . i.e, read-able for all the users.

It is not always necessary to have both files configured for a target cluster. Sometimes, you may only have one of the files available. In such cases, you can simply use the available file and disregard the other one.

AD-CONNECTORS & AD-SPARKSTATS

Perform the following:

  1. Generate the ad-core-connectors configuration file:
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  1. Edit the file in path <$AcceloHome>/config/docker/addons/ad-core-connectors.yml and add the following lines under the volumes section of both ad-connectors and ad-sparkstats service blocks.
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  1. If you only have the jssecacert file available and not the cacerts file, you can mount the jssecacerts file as the cacerts file inside the container as demonstrated below:
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AD-STREAMING

Perform the following:

  1. Generate the ad-core configuration file:
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  1. Edit the file in path <$AcceloHome>/config/docker/ad-core.yml and add the following lines under the volumes section of ad-streaming service block.
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  1. If you only have the jssecacert file available and not the cacerts file, you can mount the jssecacerts file as the cacerts file inside the container as demonstrated below:
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AD-FSANALYTICSV2-CONNECTOR

Perform the following:

  1. Generate the ad-fsanalyticsv2-connector configuration file:
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  1. Edit the file in path <$AcceloHome>/config/docker/addons/ad-fsanalyticsv2-connector.yml and add the following lines under the volumes section of ad-fsanalyticsv2-connector
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  1. If you only have the jssecacert file available and not the cacerts file, you can mount the jssecacerts file as the cacerts file inside the container as demonstrated below:
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AD-KAFKA-CONNECTOR

Perform the following:

  1. Generate the ad-core-connectors configuration file:
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  1. Edit the file in path <$AcceloHome>/config/docker/addons/ad-kafka-connector.yml and add the following lines under the volumes section of ad-kafka-connector
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  1. If you only have the jssecacert file available and not the cacerts file, you can mount the jssecacerts file as the cacerts file inside the container as demonstrated below:
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AD-KAFKA-0-10-2-CONNECTOR

Perform the following:

  1. Generate the ad-core-connectors configuration file:
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  1. Edit the file in path <$AcceloHome>/config/docker/addons/ad-kafka-0-10-2-connector.yml and add the following lines under the volumes section of ad-kafka-0-10-2-connector
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  1. If you only have the jssecacert file available and not the cacerts file, you can mount the jssecacerts file as the cacerts file inside the container as demonstrated below:
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Deploy Add-ons

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Deploy the Pulse add-ons, and select the components that are needed for CDP Cluster2.

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Database Push Configuration

To push the configuration to the database, run the following code:

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Updating Gauntlet in Dry Run Mode

To update Gauntlet in dry run mode, perform the following:

  1. Check if the ad-core.yml file is present or not by running the following command:
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  1. If the above file is not present then generate it by running the following command:
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  1. Edit the ad-core.yml file by performing the following:

a. Open the file.

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b. Update the DRY_RUN_ENABLE environment variable in the ad-gauntlet section as shown below:

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Note This makes Gauntlet delete the older elastic indices and MongoDB data.

c. The updated file must appear as shown below:

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d. Save the file.

  1. Restart Gauntlet service by running the following command:
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Configure Gauntlet

To update the Gauntlet Contrab duration, perform the following:

  1. Check if the ad-core.yml file is present or not by running the following command:
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  1. If the above file is not present then generate it by running the following command:
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  1. Edit the ad-core.yml file by performing the following:

a. Open the file

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b. Update the CRON_TAB_DURATION environment variable in the ad-gauntlet section as shown below:

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Note This makes Gauntlet run every two days at midnight.

The updated file must appear as shown below:

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c. Save the file.

  1. Restart the Gauntlet service by running the following command:
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Configuring Gauntlet for Multi-node and Multi-cluster Deployment

Perform the following:

  1. To generate the Gauntlet config files, run the following command:
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  1. Change the directory to config/gauntlet/
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  1. Check if all the files are present or not for all the clusters or not:
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  1. Modify the gauntlet_elastic_<clustername>.yml file by running the file:
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  1. Edit the elastic address in the file for multi-node setup.
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  1. Modify the Elastic address for both the clusters.
  2. Push the configuration to the database:
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  1. Restart the Gauntlet service:
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Updating MongoDB Clean Up and Compaction Frequency In Hours

By default, when dry run is disabled, MongoDB cleanup and compaction will occur once a day. To adjust the frequency, perform the following:

  1. Run the following command:
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  1. Answer the following prompts, if you are unsure about the number of days you wish to retain, then proceed with the default values.
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  1. When presented with the following prompt, indicate the hours of the day when you want MongoDB cleanup and compaction to occur. The value must be a comma-separated list of hours in accordance with the 24-hour time notation.
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  1. Execute the following command, and when Gauntlet runs the next time, MongoDB cleanup and compaction will be scheduled to run at the specified hours, once per hour:
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Configure and Deploy FSAnlytics in the Second Pulse Server

To configure and deploy FSAnalytics in the second Pulse server, perform the following:

  1. Create the acceldata directory by running the following command:
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  1. Place the accelo.linux binary in the /data01/acceldata directory:
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  1. Rename the accelo.linux binary to accelo
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  1. Change the directory.
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  1. Run the following command to run accelo init.
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  1. Provide appropriate answers when prompted.
  2. Source the ad.sh file
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  1. To enter the Pulse version, run the init command:
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Note Provide the correct Pulse version number, in this case it is 3.3.3.

  1. Run accelo info to get the initial information.
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  1. Get the Pulse Master hostname and generate the Mongo URL by editing the below code:
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  1. Encrypt the above string by running the following command and provide the string when prompted:
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  1. Edit the ad.sh for enabling the Pulse Standalone deployment. Add the following information, to the ad.sh.
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  1. Replace the MONGO_URI with the encrypted string obtained from step 10.
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  1. Source the file.
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  1. Now set the cluster.
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  1. Copy the fsanalytics directory from the Pulse Master Server present in the below location:
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Add the following to the below directory in the second cluster:

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Note Create the directory if not present.

  1. Copy the /krb/security directory from the Pulse Master Server present in the below location:
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Add the following to the below directory in the second cluster:

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Note Create the directory if not present.

  1. Generate the ad-fsanalyticsv2-connector.yml.
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  1. Edit the file.
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  1. Update the following environment variables to the ad-fs-elastic:
  • MONGO_URI (Acceldata team will provide the right URI)
  • MONGO_ENCRYPTED=false
  • ES_HOST=<host_running_ES>
  • ES_PORT=19013
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  1. Append below hostname entry in /etc/hosts and check if the /etc/hosts file is mounted under volume section in above created file (<ACCELO_HOME>/config/docker/addons/ad-fsanalyticsv2-connector.yml)

    1. <PULSE_CORE_HOST> ad-streaming

  2. Run the deploy add-ons command and select FSAnalytics and FSElastic.

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  1. Since the FSAnalyticsV2 Connector has a port exposed to the outside, you will need to modify the port bound to the host. To do this, open the ad-fsanalyticsv2-connector.yml file.
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  1. Update the port section of the file.
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  1. Save the file.
  2. Set the cluster to the second cluster.
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  1. Run the deploy add-ons command and select FSAnalyticsV2 Connector add-on.
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  1. Check if the two connectors are running or not.
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  1. Check if both the containers are bound to 19027 and 19029 ports respectively.
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  1. For running fsa load, do set the following:
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  1. Set the cluster to the second cluster.
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  1. Load the second cluster using the following fsa command:
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Enabling (TLS) HTTPS for Pulse Web UI Configuration

For details on the configuration, see Enable Native SSL/TLS for Pulse Web UI.

Set up LDAP for the Pulse User Interface

For details on the configuration, see Set up LDAP for Pulse UI.

Configure Alerts Notifications

To configure alerts notifications, perform the following:

  1. To set the active cluster, run the following command:
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  1. Configure the alerts notifications by running the following command:
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  1. Set the cluster2 as the active cluster.
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  1. Configure alerts for the second cluster as shown below:
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  1. Set the cluster3 as the active cluster by running the following code:
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  1. Configure the alerts for the third cluster as shown below:
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  1. Restart the alerts notifications.
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On This Page
CDP Multi-node, Multi-KDC, Multi-ClusterPrerequisitesUninstallation of AgentsDownload and Load the Binaries and Docker ImagesCluster ConfigurationDeploy CoreConfigure SSL for Connectors and StreamingDeploy Add-onsDatabase Push ConfigurationUpdating Gauntlet in Dry Run ModeConfiguring Gauntlet for Multi-node and Multi-cluster DeploymentUpdating MongoDB Clean Up and Compaction Frequency In HoursConfigure and Deploy FSAnlytics in the Second Pulse ServerEnabling (TLS) HTTPS for Pulse Web UI ConfigurationSet up LDAP for the Pulse User InterfaceConfigure Alerts NotificationsAD-CONNECTORS & AD-SPARKSTATSAD-STREAMINGAD-FSANALYTICSV2-CONNECTORAD-KAFKA-CONNECTORAD-KAFKA-0-10-2-CONNECTORConfigure Gauntlet