Installing and Configuring Splice Machine for MapR

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This topic describes installing and configuring Splice Machine on a MapR-managed cluster. Follow these steps:

  1. Verify Prerequisites
  2. Download and Install Splice Machine
  3. Configure Cluster Services
  4. Stop Cluster Services
  5. Restart Cluster Services
  6. Create the Splice Machine Event Log Directory
  7. Make any needed Optional Configuration Modifications
  8. Verify your Splice Machine Installation

MapR Secure Clusters Only Work with the Enterprise Edition of Splice Machine

MapR secure clusters do not support the Community Edition of Splice Machine. You can check this by:

  1. Open the HBase Configuration page

  2. Search the XML for the setting

  3. If the setting value is anything other than simple, you need the Enterprise edition of Splice Machine.

To read more about the additional features available in the Enterprise Edition, see our Splice Machine Editions page. To obtain a license for the Splice Machine Enterprise Edition, please Contact Splice Machine Sales today.

Verify Prerequisites

Before starting your Splice Machine installation, please make sure that your cluster contains the prerequisite software components:

  • A cluster running MapR with MapR-FS

  • HBase installed

  • YARN installed

  • ZooKeeper installed

  • The latest mapr-patch should be installed to bring in all MapR-supplied platform patches, before proceeding with your Splice Machine installation.

  • The MapR Ecosystem Package (MEP) should be installed on all cluster nodes, before proceeding with your Splice Machine installation.

  • Ensure Spark services are NOT installed; Splice Machine cannot currently coexist with Spark 1.x on a cluster:

    • If MEP version 1.x is in use, you must remove the Spark 1.x packages from your cluster, as described below, in Removing Spark Packages from Your Cluster.

    • MEP version 2.0 bundles Spark 2.0, and will not cause conflicts with Splice Machine.

The specific versions of these components that you need depend on your operating environment, and are called out in detail in the Requirements topic of our Getting Started Guide.

Removing Spark Packages from Your Cluster

To remove Spark packages from your cluster and update your configuration, follow these steps

  1. If you’re running a Debian/Ubuntu-based Linux distribution:

    dpkg -l | awk '/ii.*mapr-spark/{print $2}' | xargs sudo apt-get purge

    If you’re running on a RHEL/CentOS-based Linux distribution:

    rpm -qa \*mapr-spark\* | xargs sudo yum -y erase
  2. Reconfigure node services in your cluster:

    sudo /opt/mapr/server/ -R

Download and Install Splice Machine

Perform the following steps on each node in your cluster:

  1. Download the installer for your version.

    Which Splice Machine installer (gzip) package you need depends upon which Splice Machine version you’re installing and which version of MapR you are using. Here are the URLs for Splice Machine Release 2.5 and 2.5:

    MapR Version Installer Package Link
    2.5.0 5.2.0

    To be sure that you have the latest URL, please check the Splice Machine Community site or contact your Splice Machine representative.

  2. Create the splice installation directory:

    mkdir -p /opt/splice
  3. Download the Splice Machine package into the splice directory on the node. For example:

    cd /opt/splicecurl -O '////SPLICEMACHINE-..'
  4. Extract the Splice Machine package:

    tar -xf SPLICEMACHINE-..
  5. Create a symbolic link. For example:

    ln -sf SPLICEMACHINE-.. default
  6. Run our script as root user on each node in your cluster to add symbolic links to the set up the Splice Machine jar and to script symbolic links:

    Issue this command on each node in your cluster:

    sudo bash /opt/splice/default/scripts/

Configure Cluster Services

The scripts used in this section all assume that password-less ssh and password-less sudo are enabled across all cluster nodes. These scripts are designed to be run on the CLDB node in a cluster with only one CLDB node. If your cluster has multiple CLDB nodes, do not run these script; you need to change configuration settings manually on each node in the cluster. To do so, refer to the *.patch files in the /opt/splice/default/conf directory.

If you’re running on a cluster with a single CLDB node, follow these steps:

  1. Tighten the ephemeral port range so HBase doesn’t bump into it:

    cd /opt/splice/default/scripts
  2. Update hbase-site.xml:

    cd /opt/splice/default/scripts
  3. Update

    cd /opt/splice/default/scripts
  4. Update yarn-site.xml:

    cd /opt/splice/default/scripts
  5. Update warden.conf:

    cd /opt/splice/default/scripts
  6. Update zoo.cfg:

    cd /opt/splice/default/scripts

Stop Cluster Services

You need to stop all cluster services to continue with installing Splice Machine. Run the following commands as root user on each node in your cluster

sudo service mapr-warden stopsudo service mapr-zookeeper stop

Restart Cluster Services

Once you’ve completed the configuration steps described above, start services on your cluster; run the following commands on each node in your cluster:

sudo service mapr-zookeeper startsudo service mapr-warden start

Create the Splice Machine Event Log Directory

Create the Splice Machine event log directory by executing the following commands on a single cluster node while MapR is up and running:

sudo -su mapr hadoop fs -mkdir -p /user/splice/historysudo -su mapr hadoop fs -chown -R mapr:mapr /user/splicesudo -su mapr hadoop fs -chmod 1777 /user/splice/history

Optional Configuration Modifications

There are a few configuration modifications you might want to make:

Modify the Authentication Mechanism

Splice Machine installs with Native authentication configured; native authentication uses the sys.sysusers table in the splice schema for configuring user names and passwords.

You can disable authentication or change the authentication mechanism that Splice Machine uses to LDAP by following the simple instructions in Command Line (splice>) Reference

Modify the Log Location

Splice Machine logs all SQL statements by default, storing the log entries in your region server’s logs, as described in our Using Logging topic. You can modify where Splice Machine stores logs as follows:

  1. Append the following configuration information to the /opt/mapr/hbase/hbase-1.1.1/conf/log4jd/properties file on each node in your cluster:

    log4j.appender.spliceDerby.layout.ConversionPattern=%d{EEE MMM d HH:mm:ss,SSS} Thread[%t] %m%n
    log4j.appender.spliceStatement.layout.ConversionPattern=%d{EEE MMM d HH:mm:ss,SSS} Thread[%t] %m%n
    log4j.logger.splice-derby=INFO, spliceDerby
    # Uncomment to log statements to a different file:
    #log4j.logger.splice-derby.statement=INFO, spliceStatement
    # Uncomment to not replicate statements to the spliceDerby file:
  2. Use either of these methods to take the log changes live:

    1. Restart the MapR service on each node in your cluster:

      service mapr-warden restart

    2. OR, restart the HBase service on each node in your cluster by issuing these commands from your Master node:

      sudo -su mapr maprcli node services -hbmaster restart -nodes <master node>
      sudo -su mapr maprcli node services -hbregionserver restart -nodes <regional node 1> <regional node 2> … <regional node n>

Adjust the Replication Factor

The default namespace replication factor for Splice Machine is 3. If you’re running a small cluster you may want to adjust the replication down to improve resource and performance drag. To do so in MapR, use the following command:

maprcli volume modify -nsreplication <value>

For more information, see the MapR documentation site,

Verify your Splice Machine Installation

Now start using the Splice Machine command line interpreter, which is referred to as the splice prompt or simply splice> by launching the script on any node in your cluster that is running an HBase region server.

The command line interpreter defaults to connecting on port 1527 on localhost, with username splice, and password admin. You can override these defaults when starting the interpreter, as described in the Command Line (splice>) Reference topic in our Developer’s Guide.

Now try entering a few sample commands you can run to verify that everything is working with your Splice Machine installation.

Operation Command to perform operation
Display tables
splice> show tables;
Create a table
splice> create table test (i int);
Add data to the table
splice> insert into test values 1,2,3,4,5;
Query data in the table
splice> select * from test;
Drop the table
splice> drop table test;
List available commands
splice> help;
Exit the command line interpreter
splice> exit;
Make sure you end each command with a semicolon (;), followed by the Enter key or Return key

See the Command Line (splice>) Reference section of our Developer’s Guide for information about our commands and command syntax.