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  • Relate 360 10.1 HotFix 1
  • All Products

Table of Contents

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  1. Preface
  2. Installing Informatica MDM - Relate 360
  3. Configuring Relate 360
  4. Configuring Security
  5. Setting Up the Environment to Process Streaming Data
  6. Configuring Distributed Search
  7. Packaging and Deploying the RESTful Web Services
  8. Troubleshooting

Installation and Configuration Guide

Installation and Configuration Guide

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Step 1. Create Symbolic Links for the Library Files in the Spark Nodes

Step 1. Create Symbolic Links for the Library Files in the Spark Nodes

Create symbolic links for the required library files in all the Spark nodes and copy the population files, the configuration file, and the matching rules file to all the Spark nodes.
  1. Copy the following
    .so
     files to a Spark node:
    • /usr/local/mdmbdrm-<Version Number>/bin/libjssan3cl.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libjssan3clex.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libssaiok.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libssalsn.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libssan3cl.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libssan3tb.so
    • /usr/local/mdmbdrm-<Version Number>/bin/libssan3v2.so
  2. Create symbolic links to all the
    .so
     files in the following directory of the Spark node:
    $HADOOP_HOME/lib/native
    The following sample command creates symbolic links in the
    $HADOOP_HOME/lib/native
     directory for all the
    .so
     files: 
    ln -s /usr/local/libraryfiles/*.so /usr/lib/hadoop/lib/native/
  3. Copy the population files to the same directory that you configured for the
    ssapr
     parameter of the configuration file in the Spark node.
    For example, if
    ssapr=/usr/local/mdmbdrm-10.0/population
    , create the same directory structure in the Spark node and copy the population files to the
    population
     directory.
  4. Copy the configuration file and the matching rules file to the Spark node.
    Ensure that you use the same directory structure in all the Spark nodes.
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