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Oracle® Big Data Connectors User's Guide
Release 2 (2.0)

Part Number E36961-03
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1 Getting Started with Oracle Big Data Connectors

This chapter describes the Oracle Big Data Connectors, provides installation instructions, and identifies the permissions needed for users to access the connectors.

This chapter contains the following sections:

1.1 About Oracle Big Data Connectors

Oracle Big Data Connectors facilitate data access between data stored in a Hadoop cluster and Oracle Database. They can be licensed for use on either Oracle Big Data Appliance or a Hadoop cluster running on commodity hardware.

These are the connectors:

Individual connectors may require that software components be installed in Oracle Database and the Hadoop cluster. Users may also need additional access privileges in Oracle Database.

See Also:

My Oracle Support Information Center: Big Data Connectors (ID 1487399.2) and its related information centers.

1.2 Big Data Concepts and Technologies

Enterprises are seeing large amounts of data coming from multiple sources. Click-stream data in web logs, GPS tracking information, data from retail operations, sensor data, and multimedia streams are just a few examples of vast amounts of data that can be of tremendous value to an enterprise if analyzed. The unstructured and semi-structured information provided by raw data feeds is of little value in and of itself. The data needs to be processed to extract information of real value, which can then be stored and managed in the database. Analytics of this data along with the structured data in the database can provide new insights into the data and lead to substantial business benefits.

1.2.1 What is MapReduce?

MapReduce is a parallel programming model for processing data on a distributed system. It can process vast amounts of data in a timely manner and can scale linearly. It is particularly effective as a mechanism for batch processing of unstructured and semi-structured data. MapReduce abstracts lower level operations into computations over a set of keys and values.

A simplified definition of a MapReduce job is the successive alternation of two phases, the map phase and the reduce phase. Each map phase applies a transform function over each record in the input data to produce a set of records expressed as key-value pairs. The output from the map phase is input to the reduce phase. In the reduce phase, the map output records are sorted into key-value sets so that all records in a set have the same key value. A reducer function is applied to all the records in a set and a set of output records are produced as key-value pairs. The map phase is logically run in parallel over each record while the reduce phase is run in parallel over all key values.

Note:

Oracle Big Data Connectors do not support the Yet Another Resource Negotiator (YARN) implementation of MapReduce.

1.2.2 What is Apache Hadoop?

Apache Hadoop is the software framework for the development and deployment of data processing jobs based on the MapReduce programming model. At the core, Hadoop provides a reliable shared storage and analysis systemFoot 1 . Analysis is provided by MapReduce. Storage is provided by the Hadoop Distributed File System (HDFS), a shared storage system designed for MapReduce jobs.

The Hadoop ecosystem includes several other projects including Apache Avro, a data serialization system that is used by Oracle Loader for Hadoop.

Cloudera's Distribution including Apache Hadoop (CDH) is installed on Oracle Big Data Appliance. You can use Oracle Big Data Connectors on a Hadoop cluster running CDH or the equivalent Apache Hadoop components, as described in the setup instructions in this chapter.

See Also:

  • For conceptual information about the Hadoop technologies, the following third-party publication:

    Hadoop: The Definitive Guide, Third Edition by Tom White (O'Reilly Media Inc., 2012, ISBN: 978-1449311520).

  • For information about Cloudera's Distribution including Apache Hadoop (CDH4), the Oracle Cloudera website at

    http://oracle.cloudera.com/

  • For information about Apache Hadoop, the website at

    http://hadoop.apache.org/

1.3 Downloading the Oracle Big Data Connectors Software

You can download Oracle Big Data Connectors from Oracle Technology Network or Oracle Software Delivery Cloud.

To download from Oracle Technology Network: 

  1. Use any browser to visit this website:

    http://www.oracle.com/technetwork/bdc/big-data-connectors/downloads/index.html

  2. Click the name of each connector to download a zip file containing the installation files.

To download from Oracle Software Delivery Cloud: 

  1. Use any browser to visit this website:

    https://edelivery.oracle.com/

  2. Accept the Terms and Restrictions to see the Media Pack Search page.

  3. Select the search terms:

    Select a Product Pack: Oracle Database

    Platform: Linux x86-64

  4. Click Go to display a list of product packs.

  5. Select Oracle Big Data Connectors Media Pack for Linux x86-64 (B65965-0x), and then click Continue.

  6. Click Download for each connector to download a zip file containing the installation files.

1.4 Oracle SQL Connector for Hadoop Distributed File System Setup

Oracle SQL Connector for Hadoop Distributed File System (HDFS) is installed and configured on the system where Oracle Database runs. It is also installed and runs on the system where Hive is installed, if Hive tables are used as data sources.

Before installing Oracle SQL Connector for HDFS, verify that you have the required software.

1.4.1 Software Requirements

Oracle SQL Connector for HDFS requires the following software:

  • Cloudera's Distribution including Apache Hadoop version 3 (CDH3) or version 4 (CDH4), or Apache Hadoop 1.0 (formerly 0.20.2).

  • Java Development Kit (JDK) 1.6_08 or later. Consult the distributor of your Hadoop software (Cloudera or Apache) for the recommended version.

  • Oracle Database release 11g release 2 (11.2.0.2 or 11.2.0.3) for Linux.

  • To support the Oracle Data Pump file format, an Oracle Database one-off patch. To download this patch, go to http://support.oracle.com and search for bug 14557588.

  • The same version of Hadoop on the Oracle Database system as your Hadoop cluster, either CDH3, CDH4, or Apache Hadoop 1.0.

  • The same version of JDK on the Oracle Database system as your Hadoop cluster.

  • Hive 0.7.0, 0.7.1, or 0.9.0 (required for Hive table access, otherwise optional)

1.4.2 Installing and Configuring Hadoop

Oracle SQL Connector for HDFS works as a Hadoop client. You do not need to configure Hadoop on the Oracle Database system to run MapReduce jobs for Oracle SQL Connector for HDFS. However, you must install Hadoop on the Oracle Database system and minimally configure it for Hadoop client use only.

To configure the Oracle Database system as a Hadoop client: 

  1. Install and configure the same version of CDH or Apache Hadoop on the Oracle Database system as on the Hadoop cluster. If you are using Oracle Big Data Appliance, then complete the procedures for providing remote client access in the Oracle Big Data Appliance Software User's Guide. Otherwise, follow the installation instructions provided by the distributor (Cloudera or Apache).

  2. Ensure that Oracle Database has access to HDFS:

    1. Log in to the system where Oracle Database is running by using the Oracle Database account.

    2. Open a Bash shell and enter this command:

      $HADOOP_HOME/bin/hadoop fs -ls /user
      

      In this command, $HADOOP_HOME is the absolute path to the Hadoop home directory. You should see a list of directories. If not, then first ensure that the Hadoop cluster is up and running. If the problem persists, then you must correct the Hadoop client configuration so that Oracle Database has access to the Hadoop cluster file system.

The Oracle Database system is now ready for use as a Hadoop client. No other Hadoop configuration steps are needed.

1.4.3 Installing Oracle SQL Connector for HDFS

Complete this procedure to install Oracle SQL Connector for HDFS on the Oracle Database system and, for access to Hive tables, on the Hadoop cluster.

To install Oracle SQL Connector for HDFS on the Oracle Database system: 

  1. Download the zip file to a directory on the system where Oracle Database runs.

  2. Unzip orahdfs-version.zip into a directory. The unzipped files have the structure shown in Example 1-1.

  3. Open the hdfs_stream Bash shell script in a text editor, and make the changes indicated by the comments in the script.

    The hdfs_stream script is the preprocessor script for the HDFS external table.

  4. Run hdfs_stream from the Oracle SQL Connector for HDFS installation directory. You should see this usage information:

    $ ./hdfs_stream
    Usage: hdfs_stream locationFile
    

    If not, then ensure that the operating system user that Oracle Database is running under has the following permissions:

    • Read and execute permissions on the hdfs_stream script:

      $ ls -l OSCH_HOME/bin/hdfs_stream
      -rwxr-xr-x 1 oracle oinstall Nov 27 15:51 hdfs_stream
      

      If you do not see these permissions, then enter a chmod command to fix them:

      $ chmod 755 OSCH_HOME/bin/hdfs_stream
      
    • Read permission on OSCH_HOME/jlib/orahdfs.jar.

    In the previous commands, OSCH_HOME represents the Oracle SQL Connector for HDFS home directory.

  5. Create a database directory for the orahdfs-version/bin directory where hdfs_stream resides. In this example, the Oracle SQL Connector for HDFS kit is installed in /etc:

    SQL> CREATE OR REPLACE DIRECTORY osch_bin_path AS  '/etc/orahdfs-2.0.0/bin'
    

To provide support for Hive tables, install Oracle SQL Connector for HDFS on the Hadoop cluster. If you only plan to access HDFS files, then you can omit this procedure.

To install Oracle SQL Connector for HDFS on the Hadoop cluster: 

  1. Download the zip file to a directory on the system where Hive is installed.

  2. Unzip orahdfs-version.zip into a directory.

  3. Add the Hive JAR files to the HADOOP_CLASSPATH environment variable.

The unzipped files have the structure shown in Example 1-1.

Example 1-1 Structure of the orahdfs Directory

orahdfs-version
   bin/
      hdfs_stream
   jlib/ 
      orahdfs.jar
      osdt_core.jar
      osdt_cert.jar
      oraclepki.jar
      ojdbc6.jar
   log/
   doc/
      README.txt

1.4.4 Granting User Access to Oracle SQL Connector for HDFS

Oracle Database users require these privileges to use Oracle SQL Connector for HDFS:

  • CREATE SESSION

  • CREATE TABLE

  • EXECUTE on the UTL_FILE PL/SQL package

  • READ and EXECUTE on the OSCH_BIN_PATH directory created during the installation of Oracle SQL Connector for HDFS. Do not grant write access to anyone. Grant EXECUTE only to those who intend to use Oracle SQL Connector for HDFS.

Example 1-2 shows the SQL commands granting these privileges to HDFSUSER.

Example 1-2 Granting Users Access to Oracle SQL Connector for HDFS

CONNECT / AS sysdba;
CREATE USER hdfsuser IDENTIFIED BY password;
GRANT CREATE SESSION, CREATE TABLE TO hdfsuser;
GRANT EXECUTE ON SYS.UTL_FILE TO hdfsuser;
GRANT READ, EXECUTE ON DIRECTORY OSCH_BIN_PATH TO hdfsuser;

1.5 Oracle Loader for Hadoop Setup

Before installing Oracle Loader for Hadoop, verify that you have the required software.

1.5.1 Software Requirements

Oracle Loader for Hadoop requires the following software:

  • A target database system running one of the following:

    • Oracle Database 11g release 2 (11.2.0.2) with required patch

    • Oracle Database 11g release 2 (11.2.0.3)

    Note:

    To use Oracle Loader for Hadoop with Oracle Database 11g release 2 (11.2.0.2), you must first apply a one-off patch that addresses bug number 11897896. To access this patch, go to http://support.oracle.com and search for the bug number.
  • Cloudera's Distribution including Apache Hadoop version 3 (CDH3) or version 4 (CDH4), or Apache Hadoop 1.0 (formerly 0.20.2).

  • Hive 0.7.0, 0.7.1, or 0.9.0 to support the HiveToAvroInputFormat class

1.5.2 Installing Oracle Loader for Hadoop

Oracle Loader for Hadoop is packaged with the Oracle Database 11g release 2 client libraries and Oracle Instant Client libraries for connecting to Oracle Database 11.2.0.2 or 11.2.0.3.

To install Oracle Loader for Hadoop: 

  1. Unpack the content of oraloader-version.zip into a directory on your Hadoop cluster. This archive contains two archives:

    • oraloader-version-1.x86_64.zip: Use with CDH3 and Apache Hadoop 1.0

    • oraloader-version-2.x86_64.zip: Use with CDH4

  2. Unzip the appropriate archive into a directory on your Hadoop cluster.

    A directory named oraloader-version is created with the following subdirectories:

    jlib
    lib
    examples
    
  3. Create a variable named $OLH_HOME and set it to the installation directory.

  4. Add $OLH_HOME/jlib/* to the HADOOP_CLASSPATH variable.

  5. Add $KVHOME/lib/kvstore-2.0.22.jar to the HADOOP_CLASSPATH variable, if you are reading data from Oracle NoSQL Database Release 2.

1.6 Oracle Data Integrator Application Adapter for Hadoop Setup

Installation requirements for Oracle Data Integrator (ODI) Application Adapter for Hadoop are provided in these topics:

1.6.1 System Requirements and Certifications

To use Oracle Data Integrator Application Adapter for Hadoop, you must first have Oracle Data Integrator, which is licensed separately from Oracle Big Data Connectors. You can download ODI from the Oracle website at

http://www.oracle.com/technetwork/middleware/data-integrator/downloads/index.html

Oracle Data Integrator Application Adapter for Hadoop requires a minimum version of Oracle Data Integrator 11.1.1.6.0.

Before performing any installation, read the system requirements and certification documentation to ensure that your environment meets the minimum installation requirements for the products that you are installing.

The list of supported platforms and versions is available on Oracle Technology Network:

http://www.oracle.com/technetwork/middleware/data-integrator/overview/index.html

1.6.2 Technology-Specific Requirements

The list of supported technologies and versions is available on Oracle Technical Network:

http://www.oracle.com/technetwork/middleware/data-integrator/overview/index.html

1.6.3 Location of Oracle Data Integrator Application Adapter for Hadoop

Oracle Data Integrator Application Adapter for Hadoop is available in the xml-reference directory of the Oracle Data Integrator Companion CD.

1.6.4 Setting Up the Topology

To set up the topology, see Chapter 4, "Oracle Data Integrator Application Adapter for Hadoop."

1.7 Oracle R Connector for Hadoop Setup

Oracle R Connector for Hadoop requires the installation of a software environment on the Hadoop side and on a client Linux system.

1.7.1 Installing the Software on Hadoop

Oracle Big Data Appliance supports Oracle R Connector for Hadoop without any additional software installation or configuration. However, you do need to verify whether certain R packages are installed. See "Installing Additional R Packages."

However, to use Oracle R Connector for Hadoop on any other Hadoop cluster, you must create the necessary environment.

1.7.1.1 Software Requirements for a Third-Party Hadoop Cluster

You must install several software components on a third-party Hadoop cluster to support Oracle R Connector for Hadoop.

Install these components on third-party servers: 

Note:

Do not set HADOOP_HOME on the Hadoop cluster. CDH4 does not need it, and it interferes with Oracle R Connector for Hadoop when it checks the status of the JobTracker. This results in the error "Something is terribly wrong with Hadoop MapReduce."

If you must set HADOOP_HOME for another application, then also set HADOOP_LIBEXEC_DIR in the /etc/bashrc file. For example:

export HADOOP_LIBEXEC_DIR=/usr/lib/hadoop/libexec

1.7.1.2 Installing Sqoop on a Hadoop Cluster

Sqoop provides a SQL-like interface to Hadoop, which is a Java-based environment. Oracle R Connector for Hadoop uses Sqoop for access to Oracle Database.

Note:

Sqoop is required even when using Oracle Loader for Hadoop as a driver for loading data into Oracle Database. Sqoop performs additional functions, such as copying data from a database to HDFS and sending free-form queries to a database. The OLH driver also uses Sqoop to perform operations that Oracle Loader for Hadoop does not support.

To install and configure Sqoop for use with Oracle Database: 

  1. Install Sqoop if it is not already installed on the server.

    For Cloudera's Distribution including Apache Hadoop, see the Sqoop installation instructions in the CDH Installation Guide at

    http://oracle.cloudera.com/

  2. Download the appropriate Java Database Connectivity (JDBC) driver for Oracle Database from Oracle Technology Network at

    http://www.oracle.com/technetwork/database/features/jdbc/index-091264.html

  3. Copy the driver JAR file to $SQOOP_HOME/lib, which is a directory such as /usr/lib/sqoop/lib.

  4. Provide Sqoop with the connection string to Oracle Database.

    $ sqoop import --connect jdbc_connection_string
    

    For example, sqoop import --connect jdbc:oracle:thin@myhost:1521/orcl.

1.7.1.3 Installing Hive on a Hadoop Cluster

Hive provides an alternative storage and retrieval mechanism to HDFS files through a querying language called HiveQL. Oracle R Connector for Hadoop uses the data preparation and analysis features of HiveQL, while enabling you to use R language constructs.

To install Hive: 

  1. Follow the instructions provided by the distributor (Cloudera or Apache) for installing Hive.

  2. Verify that the installation is working correctly:

  3. $ hive -H
    usage: hive
     -d,--define <key=value>          Variable subsitution to apply to hive
                                      commands. e.g. -d A=B or --define A=B
        --database <databasename>     Specify the database to use
     -e <quoted-query-string>         SQL from command line
     -f <filename>                    SQL from files
     -H,--help                        Print help information
     -h <hostname>                    connecting to Hive Server on remote host
        --hiveconf <property=value>   Use value for given property
        --hivevar <key=value>         Variable subsitution to apply to hive
                                      commands. e.g. --hivevar A=B
     -i <filename>                    Initialization SQL file
     -p <port>                        connecting to Hive Server on port number
     -S,--silent                      Silent mode in interactive shell
     -v,--verbose                     Verbose mode (echo executed SQL to the
                                      console)
    
  4. If the command fails or you see warnings in the output, then fix the Hive installation.

1.7.1.4 Installing R on a Hadoop Cluster

You can download Oracle R Distribution 2.15.1 and get the installation instructions from the website at

http://www.oracle.com/technetwork/indexes/downloads/r-distribution-1532464.html

Alternatively, you can download R from a Comprehensive R Archive Network (CRAN) website at

http://www.r-project.org

1.7.1.5 Installing the ORCH Package on a Hadoop Cluster

ORCH is the name of the Oracle R Connector for Hadoop package.

To install the ORCH package: 

  1. Set the environment variables for the supporting software:

    $ setenv JAVA_HOME /usr/lib/jdk6
    $ setenv R_HOME /usr/lib64/R
    $ setenv SQOOP_HOME /usr/lib/sqoop
    
  2. Unzip the downloaded file:

    $ unzip orch-version.zip
    Archive:  orch-linux-x86_64-2.0.zip
     extracting: ORCH2.0/ORCH_2.0_R_x86_64-unknown-linux-gnu.tar.gz
      inflating: ORCH2.0/ORCHcore_2.0_R_x86_64-unknown-linux-gnu.tar.gz
      inflating: ORCH2.0/OREbase_1.3_R_x86_64-unknown-linux-gnu.tar.gz
      inflating: ORCH2.0/OREstats_1.3_R_x86_64-unknown-linux-gnu.tar.gz
    
  3. Change to the new directory:

    $ cd ORCH2.0
    
  4. Install the packages in the exact order shown here:

    $ R --vanilla CMD INSTALL OREbase_1.3_R_x86_64-unknown-linux-gnu.tar.gz 
    $ R --vanilla CMD INSTALL OREstats_1.3_R_x86_64-unknown-linux-gnu.tar.gz 
    $ R --vanilla CMD INSTALL ORCHcore_2.0_R_x86_64-unknown-linux-gnu.tar.gz 
    $ R --vanilla CMD INSTALL ORCH_2.0_R_x86_64-unknown-linux-gnu.tar.gz
    

1.7.2 Installing Additional R Packages

Your Hadoop cluster must have libpng-devel installed on every node. This procedure uses the dcli utility to execute the commands. See the Oracle Big Data Appliance Owner's Guide for the syntax of the dcli utility.

To install libpng-devel: 

  1. Log in as root to any Oracle Big Data Appliance server.

  2. Check whether libpng-devel is already installed:

    # dcli rpm -qi libpng-devel
    bda1node01: package libpng-devel is not installed
    bda1node02: package libpng-devel is not installed
         .
         .
         .
    

    If the package is already installed on all servers, then you can skip this procedure.

  3. If you need a proxy server to go outside your firewall, then set the HTTP_PROXY environment variable:

    # dcli export HTTP_PROXY="http://proxy.example.com"
    
  4. Download the yum configuration file:

    # cd /etc/yum.repos.d
    # wget http://public-yum.oracle.com/public-yum-el5.repo
    
  5. Open public-yum-el5.repo in a text editor and make these changes:

    • Under el5_latest, set enabled=1.

    • Under el5_addons, set enabled=1.

  6. Copy the file to the other Oracle Big Data Appliance servers:

    # dcli -d /etc/yum.repos.d -f public-yum-el5.repo
    
  7. Install the package on all servers:

    # dcli yum -y install libpng-devel
    bda1node01: Loaded plugins: rhnplugin, security
    bda1node01: Repository 'bda' is missing name in configuration, using id
    bda1node01: This system is not registered with ULN.
    bda1node01: ULN support will be disabled.
    bda1node01: http://bda1node01-master.us.oracle.com/bda/repodata/repomd.xml:
    bda1node01: [Errno 14] HTTP Error 502: notresolvable
    bda1node01: Trying other mirror.
         .
         .
         .
    bda1node01: Running Transaction
    bda1node01: Installing     : libpng-devel                                 1/2
    bda1node01: Installing     : libpng-devel                                 2/2
     
    bda1node01: Installed:
    bda1node01: libpng-devel.i386 2:1.2.10-17.el5_8  ibpng-devel.x86_64 2:1.2.10-17.el5_8
     
    bda1node01: Complete!
    bda1node02: Loaded plugins: rhnplugin, security
         .
         .
         .
    
  8. Verify that the installation was successful on all servers:

    # dcli rpm -qi libpng-devel
    bda1node01: Name        : libpng-devel                      Relocations: (not relocatable)
    bda1node01: Version     : 1.2.10                                 Vendor: Oracle America
    bda1node01: Release     : 17.el5_8                           Build Date: Wed 25 Apr 2012 06:51:15 AM PDT
    bda1node01: Install Date: Tue 05 Feb 2013 11:41:14 AM PST    Build Host: ca-build56.us.oracle.com
    bda1node01: Group       : Development/Libraries              Source RPM: libpng-1.2.10-17.el5_8.src.rpm
    bda1node01: Size        : 482483                                License: zlib
    bda1node01: Signature   : DSA/SHA1, Wed 25 Apr 2012 06:51:41 AM PDT, Key ID 66ced3de1e5e0159
    bda1node01: URL         : http://www.libpng.org/pub/png/
    bda1node01: Summary     : Development tools for programs to manipulate PNG image format files.
    bda1node01: Description :
    bda1node01: The libpng-devel package contains the header files and static
    bda1node01: libraries necessary for developing programs using the PNG (Portable
    bda1node01: Network Graphics) library.
         .
         .
         .
    

1.7.3 Providing Remote Client Access to R Users

Whereas R users will run their programs as MapReduce jobs on the Hadoop cluster, they do not typically have individual accounts on that platform. Instead, an external Linux server provides remote access.

1.7.3.1 Software Requirements for Remote Client Access

To provide access to a Hadoop cluster to R users, install these components on a Linux server:

  • The same version of Hadoop as your Hadoop cluster; otherwise, unexpected issues and failures can occur

  • The same version of Sqoop as your Hadoop cluster; required only to support copying data in and out of Oracle databases

  • Mahout; required only for the orch.ls function with the Mahout ALS-WS algorithm

  • The same version of the Java Development Kit (JDK) as your Hadoop cluster

  • R distribution 2.13.2 with all base libraries

  • ORCH R package

To provide access to database objects, you must have the Oracle Advanced Analytics option to Oracle Database. Then you can install this additional component on the Hadoop client:

  • Oracle R Enterprise Client Packages

1.7.3.2 Configuring the Server as a Hadoop Client

You must install Hadoop on the client and minimally configure it for HDFS client use.

To install and configure Hadoop on the client system: 

  1. Install and configure CDH3 or Apache Hadoop 0.20.2 on the client system. This system can be the host for Oracle Database. If you are using Oracle Big Data Appliance, then complete the procedures for providing remote client access in the Oracle Big Data Appliance Software User's Guide. Otherwise, follow the installation instructions provided by the distributor (Cloudera or Apache).

  2. Log in to the client system as an R user.

  3. Open a Bash shell and enter this Hadoop file system command:

    $HADOOP_HOME/bin/hadoop fs -ls /user
    
  4. If you see a list of files, then you are done. If not, then ensure that the Hadoop cluster is up and running. If that does not fix the problem, then you must debug your client Hadoop installation.

1.7.3.3 Installing Sqoop on a Hadoop Client

Complete the same procedures on the client system for installing and configuring Sqoop as those provided in "Installing Sqoop on a Hadoop Cluster".

1.7.3.4 Installing R on a Hadoop Client

You can download R 2.13.2 and get the installation instructions from the Oracle R Distribution website at

http://oss.oracle.com/ORD/

When you are done, ensure that users have the necessary permissions to connect to the Linux server and run R.

You may also want to install RStudio Server to facilitate access by R users. See the RStudio website at

http://rstudio.org/

1.7.3.5 Installing the ORCH Package on a Hadoop Client

Complete the procedures on the client system for installing ORCH as described in "Installing the Software on Hadoop".

1.7.3.6 Installing the Oracle R Enterprise Client Packages (Optional)

To support full access to Oracle Database using R, install the Oracle R Enterprise Release 1.3 or later client packages. Without them, Oracle R Connector for Hadoop does not have access to the advanced statistical algorithms provided by Oracle R Enterprise.

See Also:

Oracle R Enterprise User's Guide for information about installing R and Oracle R Enterprise


Footnote Legend

Footnote 1: Hadoop: The Definitive Guide, Third Edition by Tom White (O'Reilly Media Inc., 2012, 978-1449311520).