What’s New in SAS 9.4 In-Database Products: Administrator’s
Guide
Overview
In SAS 9.4, the following
new features and enhancements were added to expand the capabilities
of the SAS In-Database products:
-
In the November
2016 release of SAS 9.4, the following changes
and enhancements were made:
-
The installation and configuration
of the SAS Embedded Process for Aster, DB2, Greenplum, Netezza, Oracle,
and SAP Hana has changed. The in-database deployment package is delivered
to the client from the SAS Install Depot. The new process has a smaller
client footprint and is a faster install process.
-
If you use the SAS In-Database
Code Accelerator for Hadoop, the SPD Engine SerDe can be used to access
Hive tables.
-
Several new properties have been
added to the SAS Embedded Process for Hadoop ep-config.xml file that
enable you to adjust performance.
-
Deploying the SAS Embedded Process
for Hadoop no longer requires root or sudo access.
-
Changes have been made to the sasep-admin.sh
SAS Embedded Process for Hadoop deployment script.
-
SAS in-database processing in Teradata
now supports single sign-on (SSO) authentication.
-
IBM BigInsights and Pivotal HD
now support the Ambari server cluster manager. You can now use the
SAS Deployment Manager to install the in-database deployment package
for Hadoop on IBM BigInsights and Pivotal HD.
-
In the January 2016 release of
SAS 9.4, the following changes and enhancements were made:
-
The removal of the SAS Embedded
Process stack using Ambari has been simplified. The delete_stack.sh
file now enables you to remove the ep-config.xml file, a specific
version of the SAS Embedded Process, or all versions of the SAS Embedded
Process.
-
A new panel that lists the products
being installed by the SAS Deployment Manager has been added. Information
that appears on other panels also reflects more closely what is being
installed.
-
In the July 2015
release of SAS 9.4, the following changes and enhancements
were made:
-
The installation and configuration
of the SAS Embedded Process for Teradata has changed. The in-database
deployment package is delivered to the client from the SAS Install
Depot. The new process has a smaller client footprint and is a faster
install process.
-
The installation and configuration
of the SAS Embedded Process for Hadoop has changed significantly.
For Cloudera and Hortonworks, Cloudera Manager and Ambari are used
to install the SAS Embedded Process and the SAS Hadoop MapReduce JAR
files. For IBM BigInsights, MapR, and Pivotal HD, the in-database
deployment package is delivered to the client from the SAS Install
Depot. In addition, the SAS Embedded Process and the SAS Hadoop MapReduce
JAR files are installed with one script instead of in two separate
scripts. The new process has a smaller client footprint and is a faster
install process.
-
In the August
2014 release of SAS 9.4, the following changes
and enhancements were made:
-
Numerous changes were made to the
installation and configuration script for the SAS Embedded Process
for Hadoop.
-
In the April
2014 release of SAS 9.4, documentation enhancements
were made in the following areas:
-
Additional information about the
installation and configuration of the SAS Embedded Process for Hadoop
was added.
-
Added semaphore requirements when
using the SAS Embedded Process for Greenplum.
-
In the December
2013 release of SAS 9.4, the following changes
and enhancements were made:
-
New Hadoop JAR files are now tied
to the version of Apache Hadoop that you are using.
-
In the June 2013
release of SAS 9.4, the following changes and enhancements
were made:
-
In-database scoring for Netezza
has been enhanced by the addition of the SAS Embedded Process. The
SAS Embedded Process is a SAS server process that runs within Netezza
to read and write data.
-
The Hadoop scripts that install,
control, and provide a status of the SAS Embedded Process have changed.
There is now just one script, sasep-server.sh, that installs both
the SAS Embedded Process and the Hadoop JAR files.
SAS In-Database Code Accelerator
November 2016 Release of SAS 9.4: Changes and Enhancements
If you use the SAS In-Database
Code Accelerator for Hadoop, the SPD Engine SerDe can be used to access
Hive tables.
SAS 9.4: Changes and Enhancements
The SAS In-Database
Code Accelerator must be licensed at your site.
Aster Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Aster has changed. The
in-database deployment package is delivered to the client from the
SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
DB2 Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for DB2 has changed. The
in-database deployment package is delivered to the client from the
SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
Greenplum Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Greenplum has changed.
The in-database deployment package is delivered to the client from
the SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
April 2014 Release of SAS 9.4: Changes and Enhancements
SAS 9.4: Changes and Enhancements
There are several changes
for Greenplum:
-
Version 1.2 of the Greenplum Partner
Connector (GPPC) is now available and should be installed if you use
SAS Embedded Process 9.4.
-
A new script, UninstallSASEPFiles.sh,
is available. This script stops and uninstalls the SAS Embedded Process
on each database host node.
Hadoop Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
In the
November
2016 release of SAS 9.4, the following changes
and enhancements were made:
-
The number of SAS Embedded Process
JAR files that are installed during deployment has been reduced from
six to one.
-
Several new properties have been
added to the SAS Embedded Process ep-config.xml file that enable you
to adjust performance.
-
If you license SAS Data Loader
for Hadoop, SAS Data Quality Accelerator for Teradata, or SAS Contextual
Analysis In-Database Scoring for Hadoop, the Data Quality Accelerator
for Hadoop, the Data Quality Accelerator for Teradata, and the SAS
Contextual Analysis In-Database Scoring for Hadoop components are
included in the in-database deployment package for Hadoop and Teradata,
respectively.
-
Deploying the SAS Embedded Process
for Hadoop no longer requires root or sudo access.
-
IBM BigInsights and Pivotal HD
now support the Ambari server cluster manager. You can now use the
SAS Deployment Manager to install the in-database deployment package
for Hadoop on IBM BigInsights and Pivotal HD.
-
The sasep-admin.sh script has been
changed:
-
A new option, -x, has been added
that enables you to deploy the SAS Embedded Process for Hadoop without
root or sudo access.
-
The -genconfig and -log options
have been deleted.
January 2016 Release of SAS 9.4: Changes and Enhancements
In the
January
2016 release of SAS 9.4, the following changes
and enhancements were made:
-
The removal of the SAS Embedded
Process stack using Ambari has been simplified. The delete_stack.sh
file now enables you to remove the ep-config.xml file, a specific
version of the SAS Embedded Process, or all versions of the SAS Embedded
Process.
-
A new panel that lists the products
being installed by the SAS Deployment Manager has been added. Information
that appears on other panels also reflects more closely what is being
installed.
July 2015 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Hadoop has changed.
-
For Cloudera and Hortonworks, Cloudera
Manager and Ambari are used to install the SAS Embedded Process and
the SAS Hadoop MapReduce JAR files.
-
For IBM BigInsights, MapR, and
Pivotal HD, the in-database deployment package is delivered to the
client from the SAS Install Depot.
-
The SAS Embedded Process and the
SAS Hadoop MapReduce JAR files are installed with one script instead
of in two separate scripts. The new process has a smaller client footprint
and is a faster install process.
-
The sasep-servers.sh file has changed
names to the sasep-admin.sh file. Some of the scripts arguments are
no longer needed and have been deleted. Other arguments have been
added.
August 2014 Release of SAS 9.4: Changes and Enhancements
In the
August
2014 release of SAS 9.4, the following changes
and enhancements were made:
-
Instead of manually selecting the
Hadoop JAR files to the client machine, the SAS Embedded Process determines
which version of the JAR files are required and gathers them into
a ZIP file for you to copy to the client machine.
-
You now have the option whether
to automatically start the SAS Embedded Process when the installation
is complete.
April 2014 Release of SAS 9.4: Changes and Enhancements
The documentation about
the installation and configuration of the SAS Embedded Process was
enhanced.
December 2013 Release of SAS 9.4: Changes and Enhancements
In the
December
2013 release of SAS 9.4, the following changes
and enhancements were made:
-
The trace log messages for the
SAS Embedded Process are now stored in the MapReduce job log.
-
A new option, hdfsuser,
is available in the sasep-servers.sh script. hdfsuser specifies
the user ID that has Write access to HDFS root directory.
-
The Cloudera JAR files for the
SAS Embedded Process have been replaced by a set of Apache JAR files.
The new JAR files are based on a release of the Apache Hadoop instead
of a particular Hadoop distributor.
SAS 9.4: Changes and Enhancements
The Hadoop scripts that
install, control, and provide a status of the SAS Embedded Process
have changed. There is now just one script, sasep-servers.sh, that
installs both the SAS Embedded Process and the Hadoop JAR files. Running
this script also enables you to start, stop, and provide a status
of the SAS Embedded Process.
Netezza Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Netezza has changed.
The in-database deployment package is delivered to the client from
the SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
July 2015 Release of SAS 9.4: Changes and Enhancements
The SAS Embedded Process
for Netezza has a new cartridge file that creates the NZRC database.
SAS 9.4: Changes and Enhancements
In-database scoring
for Netezza has been enhanced by the addition of the SAS Embedded
Process. The SAS Embedded Process is a SAS server process that runs
within Netezza to read and write data. The SAS Embedded Process can
be used with the SAS Scoring Accelerator for Netezza to run scoring
models.
Oracle Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Oracle has changed.
The in-database deployment package is delivered to the client from
the SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
SAP HANA Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for SAP Hana has changed.
The in-database deployment package is delivered to the client from
the SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
July 2015 Release of SAS 9.4: Changes and Enhancements
If you are using SAP
HANA SPS9, the SAS Embedded Process for SAP HANA must be manually
started. For previous versions, the SAS Embedded Process was automatically
started by the SASAFL plug-in. In addition, a different procedure
must be used to deploy the SASAFL plug-in.
Teradata Changes
November 2016 Release of SAS 9.4: Changes and Enhancements
SAS in-database processing
in Teradata now supports single sign-on (SSO) authentication.
July 2015 Release of SAS 9.4: Changes and Enhancements
The installation and
configuration of the SAS Embedded Process for Teradata has changed.
The in-database deployment package is delivered to the client from
the SAS Install Depot. The new process has a smaller client footprint
and is a faster install process.
Copyright © SAS Institute Inc. All Rights Reserved.
Last updated: February 9, 2017