This topic describes the Pivotal Greenplum Database 6 platform and operating system software requirements.
Pivotal Greenplum 6 runs on the following operating system platforms:
- Red Hat Enterprise Linux 64-bit 7.x (See the following Note.)
- Red Hat Enterprise Linux 64-bit 6.x
- CentOS 64-bit 7.x
- CentOS 64-bit 6.x
- Ubuntu 18.04 LTS
If you use RedHat 6 and the performance with resource groups is acceptable for your use case, upgrade your kernel to version 2.6.32-696 or higher to benefit from other fixes to the cgroups implementation.
RHEL 7.3 and CentOS 7.3 resolves the issue.
Greenplum Database supports TLS V2.
- openssl-libs (RHEL7/Centos7)
- sed (used by gpinitsystem)
Greenplum Database 6 uses Python 2.7.12, which is included with the product installation (and not installed as a package dependency).
- Open JDK 8 or Open JDK 11, available from AdoptOpenJDK
- Oracle JDK 8 or Oracle JDK 11
Hardware and Network
|Minimum CPU||Any x86_64 compatible CPU|
|Minimum Memory||16 GB RAM per server|
|Disk Space Requirements||
|Network Requirements||10 Gigabit Ethernet within the array
NIC bonding is recommended when multiple interfaces are present
Pivotal Greenplum can use either IPV4 or IPV6 protocols.
The only file system supported for running Greenplum Database is the XFS file system. All other file systems are explicitly not supported by Pivotal.
Greenplum Database is supported on network or shared storage if the shared storage is presented as a block device to the servers running Greenplum Database and the XFS file system is mounted on the block device. Network file systems are not supported. When using network or shared storage, Greenplum Database mirroring must be used in the same way as with local storage, and no modifications may be made to the mirroring scheme or the recovery scheme of the segments.
Other features of the shared storage such as de-duplication and/or replication are not directly supported by Pivotal Greenplum Database, but may be used with support of the storage vendor as long as they do not interfere with the expected operation of Greenplum Database at the discretion of Pivotal.
Greenplum Database is supported on Amazon Web Services (AWS) servers using either Amazon instance store (Amazon uses the volume names ephemeral[0-20]) or Amazon Elastic Block Store (Amazon EBS) storage. If using Amazon EBS storage the storage should be RAID of Amazon EBS volumes and mounted with the XFS file system for it to be a supported configuration.
Data Domain Boost
Pivotal Greenplum 6.0.0 supports Data Domain Boost for backup on Red Hat Enterprise Linux. This table lists the versions of Data Domain Boost SDK and DDOS supported by Pivotal Greenplum 6.x.
|Pivotal Greenplum||Data Domain Boost||DDOS|
|6.x||3.3||6.1 (all versions)
6.0 (all versions)
Connecting to IBM Cognos software with an ODBC driver is not supported. Greenplum Database supports connecting to IBM Cognos software with the DataDirect JDBC driver for Pivotal Greenplum. This driver is available as a download from Pivotal Network.
Tools and Extensions Compatibility
Greenplum Database 6 releases a Clients tool package on various platforms that can be used to access Greenplum Database from a client system. The Greenplum 6 Clients tool package is supported on the following platforms:
- Red Hat Enterprise Linux x86_64 6.x (RHEL 6)
- Red Hat Enterprise Linux x86_64 7.x (RHEL 7)
- Ubuntu 18.04 LTS
- Windows 10 (32-bit and 64-bit)
- Windows 8 (32-bit and 64-bit)
- Windows Server 2012 (32-bit and 64-bit)
- Windows Server 2012 R2 (32-bit and 64-bit)
- Windows Server 2008 R2 (32-bit and 64-bit)
The Greenplum 6 Clients package includes the client and loader programs provided in the Greenplum 5 packages plus the addition of database/role/language commands and the Greenplum-Kafka Integration and Greenplum Stream Server command utilities. Refer to Greenplum Client and Loader Tools Package for installation and usage details of the Greenplum 6 Client tools.
|Pivotal Greenplum Extension||Versions|
|MADlib machine learning1||MADlib 1.16|
|Python Data Science Module Package3||2.0.2|
|R Data Science Library Package4||2.0.2|
|PL/Container and PL/Container images for Python, R||2.0.2|
|PostGIS Spatial and Geographic Objects for Greenplum Database 6.0.x||2.1.5+pivotal.2-2|
2PL/R supports R 3.5.1. On RHEL and CenOS the PL/R package installs R 3.3.3. See PL/R Language.
3For information about the Python package, including the modules provided, see the Python Data Science Module Package.
4For information about the R package, including the libraries provided, see the R Data Science Library Package.
For information about the Oracle Compatibility Functions, see Oracle Compatibility Functions.
- Fuzzy String Match Extension
- PL/Python Extension
- pgcrypto Extension
- Greenplum Platform Extension Framework (PXF) v5.8.1 - PXF, integrated with Greenplum Database 6, provides access to Hadoop, object store, and SQL external data stores. Refer to Accessing External Data with PXF in the Greenplum Database Administrator Guide for PXF configuration and usage information.
- Greenplum-Kafka Integration - The Pivotal Greenplum-Kafka Integration provides high speed, parallel data transfer from a Kafka cluster to a Pivotal Greenplum Database cluster for batch and streaming ETL operations. It requires Kafka version 0.11 or newer for exactly-once delivery assurance. Refer to the Pivotal Greenplum-Kafka Integration Documentation for more information about this feature.
- Greenplum Stream Server v1.2.6 - The Pivotal Greenplum Stream Server is an ETL tool that provides high speed, parallel data transfer from Informatica, Kafka, and custom client data sources to a Pivotal Greenplum Database cluster. Refer to the Performing ETL Operations with the Pivotal Greenplum Stream Server Documentation for more information about this feature.
- Greenplum Informatica Connector v1.0.5 - The Pivotal Greenplum Informatica Connector supports high speed data transfer from an Informatica PowerCenter cluster to a Pivotal Greenplum Database cluster for batch and streaming ETL operations.
- Greenplum Spark Connector v1.6.1 - The Pivotal Greenplum Spark Connector supports high speed, parallel data transfer between Greenplum Database and an Apache Spark cluster using Spark’s Scala API.
- Progress DataDirect JDBC Drivers v5.1.4.000223 - The Progress DataDirect JDBC drivers are compliant with the Type 4 architecture, but provide advanced features that define them as Type 5 drivers.
- Progress DataDirect ODBC Drivers v7.1.6 (07.16.0301) - The Progress DataDirect ODBC drivers enable third party applications to connect via a common interface to the Pivotal Greenplum Database system.
Pivotal Greenplum Database 6 is compatible with Pivotal Greenplum Text version 3.3.1 and later. See the Greenplum Text documentation for additional compatibility information.
Greenplum Command Center
Pivotal Greenplum Database 6 is compatible with Pivotal Greenplum Command Center 6.0.0 and later. See the Greenplum Command Center documentation for additional compatibility information.
Greenplum Database provides access to HDFS with the Greenplum Platform Extension Framework (PXF).
PXF can use Cloudera, Hortonworks Data Platform, MapR, and generic Apache Hadoop distributions. PXF bundles all of the JAR files on which it depends, including the following Hadoop libraries:
- Hadoop version 2.9.2
- Hive version 1.2.2
- HBase version 1.3.2