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The Trifacta® platform supports integration with a number of Hadoop distributions, using a range of components within each distribution. This page provides information on the set of configuration tasks that you need to complete to integrate the platform with your Hadoop environment.

Before You Begin

Key deployment considerations

  1. Hadoop cluster: The Hadoop cluster should already be installed and operational. As part of the install preparation, you should have prepared the Hadoop platform for integration with the Trifacta platform. See Prepare Hadoop for Integration with the Platform
    1. For more information on the components supported in your Hadoop distribution, See Install Reference.
  2. Storage: on-premises, cloud, or hybrid.
    1. The Trifacta platform can interact with storage that is in the local environment, in the cloud, or in some combination. How your storage is deployed affects your configuration scenarios. See Storage Deployment Options.
  3. Base storage layer: You must configure one storage platform to be the base storage layer. Details are described later.

    NOTE: Some deployments require that you select a specific base storage layer.

    After you have defined the base storage layer, it cannot be changed. Please review your Storage Deployment Options carefully. The required configuration is described later. 

Hadoop versions

The Trifacta platform supports integration only with the versions of Hadoop that are supported for your version of the platform. 

NOTE: The versions of your Hadoop software and the libraries in use by the Trifacta platform must match. Unless specifically directed by Trifacta Support, integration with your Hadoop cluster using a set of Hadoop libraries from a different version of Hadoop is not supported.

For more information, see Product Support Matrix.

Platform configuration

After the Trifacta platform and its databases have been installed, you can perform platform configuration. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.

NOTE: Some platform configuration is required, regardless of your deployment. See Required Platform Configuration.

Required Configuration for Hadoop

Please complete the following sections to configure the platform to work with Hadoop.

Specify Trifacta user

NOTE: Where possible, you should define or select a user with a userID value greater than 1000. In some environments, lower userID values can result in failures when running jobs on Hadoop.


Set the Hadoop username [hadoop.user (default=trifacta)] for the Trifacta platform to use for executing jobs:

"hdfs.username": [hadoop.user],

If the Trifacta software is installed in a Kerberos environment, additional steps are required, which are described later.

Data storage

The Trifacta platform supports access to the following Hadoop storage layers:

  • HDFS

  • S3

Set the base storage layer

At this time, you should define the base storage layer from the platform. 

The platform requires that one backend datastore be configured as the base storage layer. This base storage layer is used for storing uploaded data and writing results and profiles. Please complete the following steps to set the base storage layer for the Trifacta platform.

You cannot change the base storage layer after it has been set. You must uninstall and reinstall the platform to change it.


  1. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.
  2. Locate the following parameter and set it to the value for your base storage layer:

    "webapp.storageProtocol": "hdfs",
  3. Save your changes and restart the platform.

    NOTE: To complete the integration with the base storage layer, additional configuration is required.

Required configuration for each type of storage is described below.


The Trifacta platform can integrate with an S3 bucket:

  • If you are using HDFS as the base storage layer, you can integrate with S3 for read-only access.
  • Base storage layer requires read-write access.

    NOTE: If you are integrating with S3, additional configuration is required. Instead of completing the HDFS configuration below, please enable read-write access to S3. See Enable S3 Access in the Configuration Guide.


If output files are to be written to an HDFS environment, you must configure the Trifacta platform to interact with HDFS. 

If your deployment is using HDFS, do not use the trifacta/uploads directory. This directory is used for storing uploads and metadata, which may be used by multiple users. Manipulating files outside of the Trifacta application can destroy other users' data. Please use the tools provided through the interface for managing uploads from HDFS.

NOTE: Use of HDFS in safe mode is not supported.

Below, replace the value for [hadoop.user (default=trifacta)] with the value appropriate for your environment. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.

"hdfs": {
  "username": "[hadoop.user]",
  "namenode": {
    "host": "",
    "port": 8080
Username in the Hadoop cluster to be used by the Trifacta platform for executing jobs.
namenode.hostHost name of namenode in the Hadoop cluster. You may reference multiple namenodes.

Port to use to access the namenode. You may reference multiple namenodes.

NOTE: Default values for the port number depend on your Hadoop distribution. See System Ports in the Planning Guide.

Individual users can configure the HDFS directory where exported results are stored.

NOTE: Multiple users cannot share the same home directory.

See Storage Config Page in the User Guide.

Access to HDFS is supported over one of the following protocols:


If you are using HDFS, it is assumed that WebHDFS has been enabled on the cluster. Apache WebHDFS enables access to an HDFS instance over HTTP REST APIs. For more information, see

The following properties can be modified:

"webhdfs": {
  "version": "/webhdfs/v1",
  "host": "",
  "port": 50070,
  "httpfs": false

Path to locally installed version of WebHDFS.

NOTE: For version, please leave the default value unless instructed to do otherwise.


Hostname for the WebHDFS service.

NOTE: If this value is not specified, then the expected host must be defined in


Port number for WebHDFS. The default value is 50070.

NOTE: The default port number for SSL to WebHDFS is 50470 .

httpfsTo use HttpFS instead of WebHDFS, set this value to true. The port number must be changed. See HttpFS below.


  1. Set to be the hostname of the node that hosts WebHDFS. 
  2. Set webhdfs.port to be the port number over which WebHDFS communicates. The default value is 50070. For SSL, the default value is 50470.
  3. Set webhdfs.httpfs to false.
  4. For hdfs.namenodes, you must set the host and port values to point to the active namenode for WebHDFS.


You can configure the Trifacta platform to use the HttpFS service to communicate with HDFS, in addition to WebHDFS. 

NOTE: HttpFS serves as a proxy to WebHDFS. When HttpFS is enabled, both services are required.

In some cases, HttpFS is required:

  • High availability requires HttpFS.
  • Your secured HDFS user account has access restrictions.

If your environment meets any of the above requirements, you must enable HttpFS. For more information, see Enable HttpFS in the Configuration Guide.

Configure ResourceManager settings

Configure the following:

"": "hadoop",
"yarn.resourcemanager.port": 8032,

NOTE: Do not modify the other host/port settings unless you have specific information requiring the modifications.

For more information, see System Ports in the Planning Guide.

Specify distribution client bundle

The Trifacta platform ships with client bundles supporting a number of major Hadoop distributions.  You must configure the jarfile for the distribution to use.  These distributions are stored in the following directory:


Configure the bundle distribution property (hadoopBundleJar) in platform configuration. Examples:

Hadoop DistributionhadoopBundleJar property value


Cloudera Data Platform"hadoop-deps/cdp-x.y.z/build/libs/cdp-x.y.z-bundle.jar"


x.y is the major-minor build number (e.g. 5.4)

NOTE: The path must be specified relative to the install directory.

Tip: If there is no bundle for the distribution you need, you might try the one that is the closest match in terms of Apache Hadoop baseline. For example, CDH5 is based on Apache 2.3.0, so that client bundle will probably run ok against a vanilla Apache Hadoop 2.3.0 installation. For more information, see Trifacta Support.

Cloudera distribution

Some additional configuration is required. See Configure for Cloudera in the Configuration Guide.

Hortonworks distribution

After install, integration with the Hortonworks Data Platform requires additional configuration. See Configure for Hortonworks in the Configuration Guide.

Default Hadoop job results format

For smaller datasets, the platform recommends using the Trifacta Photon running environment.

For larger datasets, if the size information is unavailable, the platform recommends by default that you run the job on the Hadoop cluster. For these jobs, the default publishing action for the job is specified to run on the Hadoop cluster, generating the output format defined by this parameter. Publishing actions, including output format, can always be changed as part of the job specification. 

As needed, you can change this default format. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.

"webapp.defaultHadoopFileFormat": "csv",

Accepted values: csvjsonavropqt

For more information, see Run Job Page in the User Guide.

Additional Configuration for Hadoop



The Trifacta platform supports integration with Kerberos security. The platform can utilize Kerberos' secure impersonation to broker interactions with the Hadoop environment.

See Configure for Kerberos Integration

See Configure for Secure Impersonation.

Single Sign-On

The Trifacta platform can integrate with your SSO platform to manage authentication to the Trifacta application. See Configure SSO for AD-LDAP.

Hadoop KMS

If you are using Hadoop KMS to encrypt data transfers to and from the Hadoop cluster, additional configuration is required. See Configure for KMS.

Hive access

Apache Hive is a data warehouse service for querying and managing large datasets in a Hadoop environment using a SQL-like querying language. For more information, see

See Configure for Hive.

High availability environment

You can integrate the platform with the Hadoop cluster's high availability configuration, so that the Trifacta platform can match the failover configuration for the cluster.

NOTE: If you are deploying high availability failover, you must use HttpFS, instead of WebHDFS, for communicating with HDFS, which is described in a previous section.

For more information, see Enable Integration with Cluster High Availability.

After you have performed the base installation of the Trifacta® platform, please complete the following steps if you are integrating with a Hadoop cluster.

If the Trifacta platform is being installed on an edge node of the cluster, you can create a symlink from a local directory to the source cluster files so that they are automatically updated as needed.

  1. Navigate to the following directory on the Trifacta node:

    cd /opt/trifacta/conf/hadoop-site
  2. Create a symlink for each of the Hadoop Client Configuration files referenced in the previous steps. Example:

    ln -s /etc/hadoop/conf/core-site.xml core-site.xml
  3. Repeat the above steps for each of the Hadoop Client Configuration files.

Version update for Hortonworks

If you are using Hortonworks, you must complete the following modification to the site configuration file that is hosted on the  Trifacta node

NOTE: Before you begin, you must acquire the full version and build number of your Hortonworks distribution. On any of the Hadoop nodes, navigate to /usr/hdp. The version and build number is a directory in this location, named in the following form: A.B.C.D-XXXX.


In the Trifacta deployment, edit the following file:



Perform the following global search and replace:

  1. Search:

  2. Replace with your hard-coded version and build number:


Save the file. 

Restart the Trifacta platform.

Modify Trifacta configuration changes

  1. To apply this configuration change, login as an administrator to the Trifacta node. Then, edit trifacta-conf.json. Some of these settings may not be available through the Admin Settings Page. For more information, see Platform Configuration Methods.

  2. HDFS: Change the host and port information for HDFS as needed. Please apply the port numbers for your distribution:

    "": "<namenode>",
    "hdfs.namenode.port": <hdfs_port_num>
    "hdfs.yarn.resourcemanager": {
    "hdfs.yarn.webappPort": 8088,
    "hdfs.yarn.adminPort": 8033,
    "": "<resourcemanager_host>",
    "hdfs.yarn.port": <resourcemanager_port>,
    "hdfs.yarn.schedulerPort": 8030
  3. Save your changes and restart the platform.

Configure Snappy publication

If you are publishing using Snappy compression, you may need to perform the following additional configuration.


  1. Verify that the snappy and snappy-devel packages have been installed on the Trifacta node. For more information, see

  2. From the Trifacta node, execute the following command:

    hadoop checknative
  3. The above command identifies where the native libraries are located on the Trifacta node
  4. Cloudera: 
    1. On the cluster, locate the file. Verify that this file has been installed on all nodes of the cluster, including the Trifacta node. Retain the path to the file on the Trifacta node.
    2. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.
    3. Locate the spark.props configuration block. Insert the following properties and values inside the block:

      "spark.driver.extraLibraryPath": "/path/to/file",
      "spark.executor.extraLibraryPath": "/path/to/file",
  5. Hortonworks:
    1. Verify on the Trifacta node that the following locations are available:

      NOTE: The asterisk below is a wildcard. Please collect the entire path of both values.

    2. You can apply this change through the Admin Settings Page (recommended) or trifacta-conf.json. For more information, see Platform Configuration Methods.
    3. Locate the spark.props configuration block. Insert the following properties and values inside the block:

      "spark.driver.extraLibraryPath": "/hadoop-client/lib/snappy*.jar;/hadoop-client/lib/native/",
      "spark.executor.extraLibraryPath": "/hadoop-client/lib/snappy*.jar;/hadoop-client/lib/native/",
  6. Save your changes and restart the platform.
  7. Verify that the /tmp directory has the proper permissions for publication. For more information, see Supported File Formats.


You can review system services and download log files through the Trifacta application.

See System Services and Logs.

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