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Setting up DI Operations Mart with an archive installation

Parent article

Follow these instructions for setting up the Data Integration Operations Mart if you installed Pentaho with the Archive installation method.

Before you begin

Installation of the Data Integration Operations Mart depends on the following conditions and prerequisites.

Archive installation of the Pentaho Server

The Data Integration Operations Mart installation instructions assume that you have installed the Pentaho Server with the archive installation method. If you need to review the installation instructions, see Archive installation.

Required database

Before proceeding with the Data Integration Operations Mart installation steps, ensure that your Pentaho Server and Pentaho Repository are configured with one of the following database types:

  • PostgreSQL
  • MySQL
  • Oracle
  • MS SQL Server
Data Integration Operations Mart scripts

To install the Data Integration Operations Mart, you must have the following two scripts:

  • pentaho_logging_databasename.sql
  • pentaho_mart_databasename.sql
NoteIn the file name, databasename is the name of your Pentaho Server Repository database type:
  • postgresql
  • mysql15
  • oracle10g or oracle12c
  • sqlserver

Process overview

To install the Data Integration Operations Mart, perform the following steps:

Step 1: Get the Data Integration Operations Mart files

  • If you performed an archive installation with a PostgreSQL repository, skip to Step 2: Run the setup scripts.
  • If you performed an archive installation with a MySQL, MS SQL Server, or Oracle repository, and you do not have the pentaho-operations-mart-9.1.0-dist.zip file, then you need to download it from the Pentaho Customer Support Portal.

Procedure

  1. On the Customer Portal home page, sign in using the Pentaho support user name and password provided in your Pentaho Welcome Packet.

  2. Click Downloads, then click Pentaho 9.1 GA Release in the current version list.

  3. On the bottom of the Pentaho 9.1 GA Release page, browse the folders in the Box widget to find the files you need, in the Operations Mart folder:

    • pentaho-operations-mart-9.1.0-dist.zip
  4. Unzip the Pentaho Operations Mart file.

    Inside are the packaged Operations Mart installations files.
  5. Unpack the installation file by running the installer file for your environment.

  6. In the IZPack window, read the license agreement, select I accept the terms of this license agreement, and then click Next.

  7. In the Select the installation path text box, browse to or enter the directory location where you want to unpack the files, then click Next.

  8. If you chose an existing directory, a warning message that the directory already exists appears. Click Yesto continue.

    Any existing files in the directory are retained.
  9. When the installation progress is complete, click Quit.

  10. Navigate to the directory where you unpacked the pentaho-operations-mart-9.1.0-dist.zip file.

Results

You need the following files for Step 6: Add the Data Integration Operations Mart ETL solutions to the Pentaho Repository default content folder .
  • pentaho-operations-mart-operations-di-9.1.0.zip
  • pentaho-operations-mart-operations-bi-9.1.0.zip
In addition, two specific files are required for your repository type, as shown in the following table:
Database TypeFilenames
Oraclepentaho-operations-mart-etl-oracle10g-<version>.zip

pentaho-operations-mart-clean-oracle10g-<version>.zip

MySQL5pentaho-operations-mart-etl-mysql5-<version>.zip

pentaho-operations-mart-clean-mysql5-<version>.zip

MS SQL Serverpentaho-operations-mart-etl-mssql-<version>.zip

pentaho-operations-mart-clean-mssql-<version>.zip

Step 2: Run the setup scripts

When you performed the Archive installation of the Pentaho Server, you downloaded the pentaho-server-ee-9.1.0-dist.zip file, which contains both the required Ops Mart setup scripts. They are located in the <install-directory>/pentaho-server/data/databasename directory where databasename is your Pentaho Server Repository database type:
  • postgresql
  • mysql5
  • oracle10g or oracle12c
  • sqlserver

Depending on your database repository type, run each of the scripts listed below in the order shown. These scripts create the tables that log the activity for transformations and jobs.

  1. pentaho_logging_databasename.sql
  2. pentaho_mart_databasename.sql

Step 3: Set the global Kettle logging variables

Perform this step on the computer where you have installed your Pentaho Data Integration (PDI) client and the Pentaho Server.

When you run PDI for the first time, the kettle.properties file is created and stored in the $USER_HOME/.kettle.properties directory.

Procedure

  1. In the PDI client, select Edit Edit the kettle.properties file.

  2. Add or edit the values for each of the logging variables shown in the following log tables:

    NoteIf you customized the values for these logging variables in the following scripts, add the customized values for your site rather than the default values shown in the table.
    • pentaho_logging_databasename.sql
    • pentaho_mart_databasename.sql
    where databasename is your database type.
    NoteFor Oracle and Microsoft SQL Server, leave Value blank with Variables that contain 'SCHEMA' in the name.
    Table 1: Kettle channel log
    VariableValue
    KETTLE_CHANNEL_LOG_DBlive_logging_info
    KETTLE_CHANNEL_LOG_TABLEchannel_logs
    KETTLE_CHANNEL_LOG_SCHEMApentaho_dilogs
    Table 2: Kettle job entry log
    VariableValue
    KETTLE_JOBENTRY_LOG_DBlive_logging_info
    KETTLE_JOBENTRY_LOG_TABLEjobentry_logs
    KETTLE_JOBENTRY_LOG_SCHEMApentaho_dilogs
    Table 3: Kettle job log
    VariableValue
    KETTLE_JOB_LOG_DBlive_logging_info
    KETTLE_JOB_LOG_TABLEjob_logs
    KETTLE_JOB_LOG_SCHEMApentaho_dilogs
    Table 4: Kettle metrics log
    VariableValue
    KETTLE_METRICS_LOG_DBlive_logging_info
    KETTLE_METRICS_LOG_TABLEmetrics_logs
    KETTLE_METRICS_LOG_SCHEMApentaho_dilogs
    Table 5: Kettle step log
    VariableValue
    KETTLE_STEP_LOG_DBlive_logging_info
    KETTLE_STEP_LOG_TABLEstep_logs
    KETTLE_STEP_LOG_SCHEMApentaho_dilogs
    Table 6: Kettle trans log
    VariableValue
    KETTLE_TRANS_LOG_DBlive_logging_info
    KETTLE_TRANS_LOG_TABLEtrans_logs
    KETTLE_TRANS_LOG_SCHEMApentaho_dilogs
    Table 7: Kettle trans performance log
    VariableValue
    KETTLE_TRANS_PERFORMANCE_LOG_DBlive_logging_info
    KETTLE_TRANS_PERFORMANCE_LOG_TABLEtransperf_logs
    KETTLE_TRANS_PERFORMANCE_LOG_SCHEMApentaho_dilogs

Step 4: Add the JNDI connections for logging

This section explains how to add the logging (live_logging_info) and Operations Mart (PDI_Operations_Mart) connections for a PDI client.

Procedure

  1. Navigate to the PDI client <install directory>/data-integration/simple-jndi directory.

  2. Open the jdbc.properties file with a text editor.

  3. Depending on your repository database type, update the values accordingly (URL, users, password) as shown in the following samples.

    PostgreSQL:

     PDI_Operations_Mart/type=javax.sql.DataSource
    PDI_Operations_Mart/driver=org.postgresql.Driver
    PDI_Operations_Mart/url=jdbc:postgresql://localhost:5432/hibernate?searchpath=pentaho_operations_mart
    PDI_Operations_Mart/user=hibuser
    PDI_Operations_Mart/password=password
    live_logging_info/type=javax.sql.DataSource
    live_logging_info/driver=org.postgresql.Driver
    live_logging_info/url=jdbc:postgresql://localhost:5432/hibernate?searchpath=pentaho_dilogs
    live_logging_info/user=hibuser
    live_logging_info/password=password

    MySQL:

    PDI_Operations_Mart/type=javax.sql.DataSource
    PDI_Operations_Mart/driver=com.mysql.jdbc.Driver
    PDI_Operations_Mart/url=jdbc:mysql://localhost:3306/pentaho_operations_mart
    PDI_Operations_Mart/user=hibuser
    PDI_Operations_Mart/password=password
    live_logging_info/type=javax.sql.DataSource
    live_logging_info/driver=com.mysql.jdbc.Driver
    live_logging_info/url=jdbc:mysql://localhost:3306/pentaho_dilogs
    live_logging_info/user=hibuser
    live_logging_info/password=password

    Oracle:

    PDI_Operations_Mart/type=javax.sql.DataSource
    PDI_Operations_Mart/driver=oracle.jdbc.OracleDriver
    PDI_Operations_Mart/url=jdbc:oracle:thin:@localhost:1521/XE
    PDI_Operations_Mart/user=pentaho_operations_mart
    PDI_Operations_Mart/password=password
    live_logging_info/type=javax.sql.DataSource
    live_logging_info/driver=oracle.jdbc.OracleDriver
    live_logging_info/url=jdbc:oracle:thin:@localhost:1521/XE
    live_logging_info/user=pentaho_dilogs
    live_logging_info/password=password

    Microsoft SQL Server:

    PDI_Operations_Mart/type=javax.sql.DataSource
    PDI_Operations_Mart/driver=com.microsoft.sqlserver.jdbc.SQLServerDriver
    PDI_Operations_Mart/url=jdbc:sqlserver://10.0.2.15:1433;DatabaseName=pentaho_operations_mart
    PDI_Operations_Mart/user=pentaho_operations_mart
    PDI_Operations_Mart/password=password
    live_logging_info/type=javax.sql.DataSource
    live_logging_info/driver=com.microsoft.sqlserver.jdbc.SQLServerDriver
    live_logging_info/url=jdbc:sqlserver://10.0.2.15:1433;DatabaseName=pentaho_dilogs
    live_logging_info/user=dilogs_user
    live_logging_info/password=password

Step 5: Add a JDBC connection for the Pentaho Server

This section explains how to add a JDBC connection for the Pentaho Server. Perform this task on the machine where you have installed the Pentaho Server.

Procedure

  1. Navigate to the <install directory>/server/pentaho-server/tomcat/webapps/Pentaho/META-INF/ folder.

  2. Open the context.xml file with a text editor.

  3. Depending on your database type, edit the file to reflect the values, as shown in the following examples.

    PostgreSQL:

     <Resource name="jdbc/PDI_Operations_Mart" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" minIdle="0" maxIdle="5" initialSize="0"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="org.postgresql.Driver" 
                url="jdbc:postgresql://localhost:5432/hibernate"
                validationQuery="select 1"/>
               
     <Resource name="jdbc/pentaho_operations_mart" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" minIdle="0" maxIdle="5" initialSize="0"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="org.postgresql.Driver" 
                url="jdbc:postgresql://localhost:5432/hibernate"
                validationQuery="select 1"/>
               
     <Resource name="jdbc/live_logging_info" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" minIdle="0" maxIdle="5" initialSize="0"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="org.postgresql.Driver" 
                url="jdbc:postgresql://localhost:5432/hibernate?searchpath=pentaho_dilogs"            
                validationQuery="select 1"/>

    MySQL:

      <Resource name="jdbc/PDI_Operations_Mart" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" maxIdle="5"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="com.mysql.jdbc.Driver" url="jdbc:mysql://localhost:3306/pentaho_operations_mart"
                jdbcInterceptors="ConnectionState" defaultAutoCommit="true" validationQuery="select 1"/>
               
      <Resource name="jdbc/pentaho_operations_mart" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" maxIdle="5"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="com.mysql.jdbc.Driver" url="jdbc:mysql://localhost:3306/pentaho_operations_mart"
                jdbcInterceptors="ConnectionState" defaultAutoCommit="true" validationQuery="select 1"/>
                
      <Resource name="jdbc/live_logging_info" auth="Container" type="javax.sql.DataSource"
                factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxActive="20" maxIdle="5"
                maxWait="10000" username="hibuser" password="password"
                driverClassName="com.mysql.jdbc.Driver" url="jdbc:mysql://localhost:3306/pentaho_dilogs"            
                jdbcInterceptors="ConnectionState" defaultAutoCommit="true" validationQuery="select 1"/>

    Oracle:

    <Resource 
        validationQuery="select 1 from dual"
        url="jdbc:oracle:thin:@localhost:1521/orcl"
        driverClassName="oracle.jdbc.OracleDriver"
        password="password"
        username="pentaho_operations_mart"
        initialSize="0"
        maxActive="20"
        maxIdle="10"
        maxWait="10000"
        factory="org.apache.tomcat.jdbc.pool.DataSourceFactory"
        type="javax.sql.DataSource"
        auth="Container"
        connectionProperties="oracle.jdbc.J2EE13Compliant=true"
        name="jdbc/pentaho_operations_mart"/>
    
    <Resource 
        validationQuery="select 1 from dual"
        url="jdbc:oracle:thin:@localhost:1521/orcl"
        driverClassName="oracle.jdbc.OracleDriver"
        password="password"
        username="pentaho_operations_mart"
        initialSize="0"
        maxActive="20"
        maxIdle="10"
        maxWait="10000"
        factory="org.apache.tomcat.jdbc.pool.DataSourceFactory"
        type="javax.sql.DataSource"
        auth="Container"
        connectionProperties="oracle.jdbc.J2EE13Compliant=true"
        name="jdbc/PDI_Operations_Mart"/>
    
    <Resource validationQuery="select 1 from dual" url="jdbc:oracle:thin:@localhost:1521/XE" 
         driverClassName="oracle.jdbc.OracleDriver" password="password" 
         username="pentaho_dilogs" maxWaitMillis="10000" maxIdle="5" maxTotal="20" 
         jdbcInterceptors="ConnectionState" defaultAutoCommit="true" 
         factory="org.apache.commons.dbcp.BasicDataSourceFactory" type="javax.sql.DataSource" 
         auth="Container" name="jdbc/live_logging_info"/>

    Microsoft SQL Server:

    <Resource name="jdbc/PDI_Operations_Mart" auth="Container" type="javax.sql.DataSource"
          factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxTotal="20" maxIdle="5"
          maxWaitMillis="10000" username="pentaho_operations_mart" password="password" 
          jdbcInterceptors="ConnectionState" defaultAutoCommit="true"
          driverClassName="com.microsoft.sqlserver.jdbc.SQLServerDriver" 
          url="jdbc:sqlserver://localhost:1433;DatabaseName=pentaho_operations_mart"
          validationQuery="select 1"/>
                
    <Resource name="jdbc/pentaho_operations_mart" auth="Container" type="javax.sql.DataSource"
           factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxTotal="20" maxIdle="5"
           maxWaitMillis="10000" username="pentaho_operations_mart" password="password" 
           jdbcInterceptors="ConnectionState" defaultAutoCommit="true"
           driverClassName="com.microsoft.sqlserver.jdbc.SQLServerDriver" 
           url="jdbc:sqlserver://localhost:1433;DatabaseName=pentaho_operations_mart"
           validationQuery="select 1"/>
     
    <Resource name="jdbc/live_logging_info" auth="Container" type="javax.sql.DataSource"
            factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" maxTotal="20" maxIdle="5"
            maxWaitMillis="10000" username="dilogs_user" password="password" 
            jdbcInterceptors="ConnectionState" defaultAutoCommit="true"
            driverClassName="com.microsoft.sqlserver.jdbc.SQLServerDriver" 
            url="jdbc:sqlserver://localhost:1433;DatabaseName=pentaho_dilogs"            
            validationQuery="select 1"/>

Step 6: Add the Data Integration Operations Mart ETL solutions to the Pentaho Repository default content folder

Before you begin

If you are using PostgreSQL as your repository database, you can skip to Step 7: Initialize the Data Integration Operations Mart.

Procedure

  1. Stop the Pentaho Server.

  2. Depending on your repository database type, locate the ZIP files containing the ETL solution and sample reports.

    You downloaded and unpacked these files in Step 1: Get the Data Integration Operations Mart files.
    • pentaho-operations-mart-operations-di-9.1.0.zip
    • pentaho-operations-mart-operations-bi-9.1.0.zip
    Additionally, locate the two ZIP files that are specific to your repository type:
    DirectoryFilenames
    /oracle (10g or 12c)
    • pentaho-operations-mart-etl-oracle10g-9.1.0.zip
    • pentaho-operations-mart-clean-oracle10g-9.1.0.zip
    /mysql5
    • pentaho-operations-mart-etl-mysql5-9.1.0.zip
    • pentaho-operations-mart-clean-mysql5-9.1.0.zip
    /sqlserver
    • pentaho-operations-mart-etl-mssql-9.1.0.zip
    • pentaho-operations-mart-clean-mssql-9.1.0.zip
  3. Copy all four ZIP files (di, bi, mart-etl, mart-clean) for your database to this directory:

    $PENTAHO_HOME/pentaho-server/pentaho-solution/default-content
    • DI Operations Mart sample reports: pentaho-operations-mart-operations-di-9.1.0-dist.zip
    • BA Operations Mart sample reports: pentaho-operations-mart-operations-bi-9.1.0-dist.zip
  4. Start the Pentaho Server.

    When you restart the Pentaho Server, the startup process unpacks the content in the ZIP files to generate the Pentaho User Console (PUC) reports, sample transformations, and sample jobs needed to use the Data Integration Operations Mart.
    NoteAfter these files are processed by the Pentaho Server, they are renamed with a timestamp so that each subsequent time you start the Pentaho Server, it does not unzip them again. You must keep these files in this directory, even though the date/timestamp is the installation date.

Step 7: Initialize the Data Integration Operations Mart

Perform these steps for the Operations Mart to start creating and collecting log file content.

Procedure

  1. Launch the PDI client (Spoon).

  2. Connect to the Pentaho Repository through the Pentaho Server.

  3. At the main menu, select File Open.

  4. Select Browse Files Public Pentaho Operations Mart DI Ops Mart ETL.

    List of DI Ops Mart files in PDI Client folder
  5. To initiate the transformation and job logging processes, open each transformation and job.

  6. In each transformation or job, open the associated Job Properties or Transformation Properties window and click the Logging tab.

    • For logging to occur, you must at a minimum add a value to each individual Log Connection field shown in the tables below for jobs and transformations. A best practice tip for these fields is to use the global variables, as shown in the tables. You can also use the values you customized for your site and defined in the kettle.properties file during Step 3: Set the global Kettle logging variables.
    • If you leave all three fields shown in each table as empty values, then no logging occurs.
    • Logging also occurs if you add a value to all three fields, as shown in each table.
    1. For job logging, add values to the Log connection, Log table schema, and Log table name fields as shown in the tables below for the Job log table, Job entry log table, and Logging channel log table in the Log tab. You can also use any values you have customized for your site.

      Job properties window, Logging tab
      Table 1: Job log table
      FieldValue
      Log connection${KETTLE_JOB_LOG_DB}
      Log table schema${KETTLE_JOB_LOG_SCHEMA}
      Log table name${KETTLE_JOB_LOG_TABLE}
      Table 2: Job entry log table
      FieldValue
      Log connection${KETTLE_JOBENTRY_LOG_DB}
      Log table schema${KETTLE_JOBENTRY_LOG_SCHEMA}
      Log table name${KETTLE_JOBENTRY_LOG_TABLE}
      Table 3: Logging channel log table
      FieldValue
      Log connection${KETTLE_CHANNEL_LOG_DB}
      Log table schema${KETTLE_CHANNEL_LOG_SCHEMA}
      Log table name${KETTLE_CHANNEL_LOG_TABLE}
    2. For transformation logging, add values to the Log connection, Log table schema, and Log table name fields as shown in the following tables for the Transformation, Step, Performance, Logging channels, and Metrics in the Logging tab. You can also use a value you have customized for your site.

      Transformation properties window, Logging          tab
      Table 4: Transformation
      FieldValue
      Log connection${KETTLE_TRANS_LOG_DB}
      Log table schema${KETTLE_TRANS_LOG_SCHEMA}
      Log table name${KETTLE_TRANS_LOG_TABLE}
      Table 5: Step
      FieldValue
      Log connection${KETTLE_STEP_LOG_DB}
      Log table schema${KETTLE_STEP_LOG_SCHEMA}
      Log table name${KETTLE_STEP_LOG_TABLE}
      Table 6: Performance
      FieldValue
      Log connection${KETTLE_TRANS_PERFORMANCE_LOG_DB}
      Log table schema${KETTLE_TRANS_PERFORMANCE_LOG_SCHEMA}
      Log table name${KETTLE_TRANS_PERFORMANCE_LOG_TABLE}
      Table 7: Logging channels
      FieldValue
      Log connection${KETTLE_CHANNEL _LOG_DB}
      Log table schema${KETTLE_CHANNEL_LOG_SCHEMA}
      Log table name${KETTLE_CHANNEL_LOG_TABLE}
      Table 8: Metrics
      FieldValue
      Log connection${KETTLE_METRICS_LOG_DB}
      Log table schema${KETTLE_METRICS_LOG_SCHEMA}
      Log table name${KETTLE_METRICS_LOG_TABLE}
  7. In the main menu, select File Open.

  8. Select Browse Files Public Pentaho Operations Mart DI Ops Mart ETL Fill_in_DIM_DATE_and_DIM_TIME job file and run it.

  9. Run a few of the sample KTRs, to generate logging activities for Step 8: Verify the Data Integration Operations Mart is working. You can also use or create your own sample KTRs.

  10. At the main menu, select File Open.

  11. Select Public Pentaho Operations Mart DI Ops Mart ETL Update_Dimensions_then_Logging_Data job file and run it.

    All the transformations and jobs are placed in the Pentaho Repository, then the data mart is populated. You can then set your transformations and jobs to run on a schedule, based on how often you want this data refreshed.

Step 8: Verify the Data Integration Operations Mart is working

  1. In the PDI client, select Browse Files Public Pentaho Operations Mart DI Audit Reports Last_Runand open it.

  2. Check that you see the jobs and transformations that were run in Step 7: Initialize the Data Integration Operations Mart.