Pivotal Greenplum 5.3.0 Release Notes

Pivotal Greenplum 5.3.0 Release Notes

Updated: December, 2017

Welcome to Pivotal Greenplum 5.3.0

Pivotal Greenplum Database is a massively parallel processing (MPP) database server that supports next generation data warehousing and large-scale analytics processing. By automatically partitioning data and running parallel queries, it allows a cluster of servers to operate as a single database supercomputer performing tens or hundreds times faster than a traditional database. It supports SQL, MapReduce parallel processing, and data volumes ranging from hundreds of gigabytes, to hundreds of terabytes.

Note: This document contains pertinent release information about Pivotal Greenplum Database 5.3.0. For previous versions of the release notes for Greenplum Database, go to Pivotal Greenplum Database Documentation. For information about Greenplum Database end of life, see Pivotal Greenplum Database end of life policy.

Pivotal Greenplum 5.x software is available for download from the Pivotal Greenplum page on Pivotal Network.

Pivotal Greenplum 5.x is based on the open source Greenplum Database project code.

Important: Pivotal Support does not provide support for open source versions of Greenplum Database. Only Pivotal Greenplum Database is supported by Pivotal Support.

Greenplum Database 5.3.0 is a minor release that includes product enhancements and changes, and resolves some known issues.

New Features

Pivotal Greenplum 5.3.0 includes these new features.

Greenplum Parameter optimizer_join_order

When GPORCA is enabled, this parameter sets the optimization level for join ordering during query optimization by specifying which types of join ordering alternatives to evaluate.

  • query - Uses the join order specified in the query.
  • greedy - Evaluates the join order specified in the query and alternatives based on minimum cardinalities of the relations in the joins.
  • exhaustive - Applies transformation rules to find and evaluate all join ordering alternatives.

The default value is exhaustive. Setting this parameter to query or greedy can generate a suboptimal query plan. However, if the administrator is confident that a satisfactory plan is generated with the query or greedy setting, query optimization time can be improved by setting the parameter to the lower optimization level.

Setting this parameter to query or greedy overrides the optimizer_join_order_threshold and optimizer_join_arity_for_associativity_commutativity parameters.

This parameter can be set for an individual database, a session, or a query.

Value Range Default Set Classifications
query

greedy

exhaustive

exhaustive master

session

reload

For information about Greenplum Database server configuration parameters, see the Greenplum Database Reference Guide.

citext Data Type

Greenplum Database 5.3.0 includes the PostgreSQL citext module. The module provides the case-insensitive character string type citext that makes performing case-insensitive comparison easier. Essentially, the function lower() is called internally when comparing citext values. Otherwise, it behaves almost exactly like the text data type.

For information about the citext data type, see the Greenplum Database Utility Guide.

Support for SLES 12

Pivotal Greenplum 5.3.0 supports SuSE Linux Enterprise Server 64-bit 12 SP2 or SP3 with kernel version 4.4.73-5.1 or newer. See Supported Platforms.

Experimental Features

Because Pivotal Greenplum Database is based on the open source Greenplum Database project code, it includes several experimental features to allow interested developers to experiment with their use on development systems. Feedback will help drive development of these features, and they may become supported in future versions of the product.

Warning: Experimental features are not recommended or supported for production deployments. These features may change in or be removed from future versions of the product based on further testing and feedback. Moreover, any features that may be visible in the open source code but that are not described in the product documentation should be considered experimental and unsupported for production use.
Key experimental features in Greenplum Database 5.3.0 include:
  • gpbackup and gprestore are experimental utilities that are designed to improve the performance, functionality, and reliability of backups as compared to gpcrondump and gpdbrestore. gpbackup utilizes ACCESS SHARE locks at the individual table level, instead of EXCLUSIVE locks on the pg_class catalog table. This enables you to execute DDL statements during the backup, such as CREATE, ALTER, DROP, and TRUNCATE operations, as long as those operations do not target the current backup set.
    In Greenplum Database 5.3.0, gpbackup and gprestore include these new features.
    • gpbackup lets you specify the gzip compression level for data files with the --compression-level option. A valid level is an integer between 1 and 9. gpbackup uses the default compression level of 1.
    • gpbackup can optionally create a single backup file per segment instance when you specify the -single-data-file option. By default, gpbackup creates one .csv file per table, per segment, during a backup operation.
    • gprestore now supports restoring specific schemas and tables in a backup set using the -include-schema and -include-table-file options.

    Backup files created with gpbackup are designed to provide future capabilities for restoring individual database objects along with their dependencies, such as functions and required user-defined datatypes. See Parallel Backup with gpbackup and gprestore for more information.

    Note: gpbackup and gprestore are not provided with the SuSE Linux Enterprise Server build of Pivotal Greenplum Database.
  • Greenplum PL/Container Extension. Greenplum PL/Container Extension
  • Recursive WITH Queries (Common Table Expressions). See WITH Queries (Common Table Expressions).
  • Resource groups remain an experimental feature only on the SuSE 11 platform, due to limited cgroups functionality in the kernel.

    SuSE 12 resolves the Linux cgroup issues that caused the performance degradation when Greenplum Database resource groups are enabled.

  • Writing text and SequenceFile binary format data to HDFS using the Greenplum Platform Extension Framework (PXF). See Writing Data to HDFS with PXF (Experimental).

Changed Feature

In Greenplum Database 5.3.0, the gpcrondump and gpdbrestore utilities support backing up and restoring single-level partitioned tables with child leaf partitions that are external tables. In previous releases, the table were not backed up.

For the child leaf partitions that are external tables, only the table definitions are backed up and restored. The external table data is not backed up or restored.

Deprecated Feature

Support for SuSE Linux Enterprise Server 64-bit 11 is deprecated and will not be supported in a future release. See Supported Platforms.

Differences Compared to Open Source Greenplum Database

Pivotal Greenplum 5.x includes all of the functionality in the open source Greenplum Database project and adds:
  • Product packaging and installation script.
  • Support for QuickLZ compression. QuickLZ compression is not provided in the open source version of Greenplum Database due to licensing restrictions.
  • Support for managing Greenplum Database using Pivotal Greenplum Command Center.
  • Support for monitoring and managing queries with Pivotal Greenplum Workload Manager.
  • Support for full text search and text analysis using Pivotal GPText.
  • Spark Connector and Gemfire Connector
  • Data Direct ODBC/JDBC Drivers

Supported Platforms

Pivotal Greenplum 5.3.0 runs on the following platforms:

  • Red Hat Enterprise Linux 64-bit 7.x (See the following Note)
  • Red Hat Enterprise Linux 64-bit 6.x
  • SuSE Linux Enterprise Server 64-bit 12 SP2 and SP3 with kernel version greater than 4.4.73-5. (See the following Note)
  • SuSE Linux Enterprise Server 64-bit 11 SP4 (See the following Note)
  • CentOS 64-bit 7.x
  • CentOS 64-bit 6.x
Important: Significant Greenplum Database performance degradation has been observed when enabling resource group-based workload management on Red Hat 6.x, CentOS 6.x, and SuSE 11 systems. This issue is caused by a Linux cgroup kernel bug. This kernel bug has been fixed in CentOS 7.x and Red Hat 7.x systems.

If you use Red Hat 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.

SuSE 11 does not have a kernel version that resolves this issue; resource groups are still considered to be an experimental feature on this platform. Resource groups are not supported on SuSE 11 for production use. See known issue 149789783.

Pivotal Greenplum on SuSE 12 supports resource groups for production use. SuSE 12 resolves the Linux cgroup kernel issues that caused the performance degradation when Greenplum Database resource groups are enabled.

Note: For Greenplum Database that is installed on Red Hat Enterprise Linux 7.x or CentOS 7.x prior to 7.3, an operating system issue might cause Greenplum Database that is running large workloads to hang in the workload. The Greenplum Database issue is caused by Linux kernel bugs.

RHEL 7.3 and CentOS 7.3 resolves the issue.

Note: Greenplum Database on SuSE Linux Enterprise systems does not support the PL/Perl procedural language or the gpmapreduce tool.

Support for SuSE Linux Enterprise Server 64-bit 11 is deprecated and will not be supported in a future release.

Greenplum Database support on Dell EMC DCA.
  • Pivotal Greenplum 5.3.0, is supported on DCA systems that are running DCA software version 3.4 or greater.

    Only Pivotal Greenplum Database is supported on DCA systems. Open source versions of Greenplum Database are not supported.

    Pivotal Greenplum 5.1 and 5.0 are not supported on DCA systems with FIPS enabled.

Pivotal Greenplum 5.3.0 supports these Java versions:
  • 8.xxx
  • 7.xxx

Greenplum Database 5.3.0 software that runs on Linux systems uses OpenSSL 1.0.2l (with FIPS 2.0.16), cURL 7.54, OpenLDAP 2.4.44, and Python 2.7.12.

Greenplum Database client software that runs on Windows and AIX systems uses OpenSSL 0.9.8zg.

The Greenplum Database s3 external table protocol supports these data sources:

Pivotal Greenplum 5.3.0 supports Data Domain Boost on Red Hat Enterprise Linux.

This table lists the versions of Data Domain Boost SDK and DDOS supported by Pivotal Greenplum 5.x.

Table 1. Data Domain Boost Compatibility
Pivotal Greenplum Data Domain Boost DDOS
5.2.0

5.1.0

5.0.0

3.3

3.0.0.31

6.1 (all versions)

6.0 (all versions)

Note: In addition to the DDOS versions listed in the previous table, Pivotal Greenplum 5.0.0 and later supports all minor patch releases (fourth digit releases) later than the certified version.

1Support for Data Domain Boost 3.0.0.3 is deprecated. The DELL EMC end of Primary Support date is December 31, 2017.

Note: Pivotal Greenplum 5.3.0 does not support the ODBC driver for Cognos Analytics V11.

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.

Veritas NetBackup

Pivotal Greenplum 5.3.0 supports backup with Veritas NetBackup version 7.7.3. See Backing Up Databases with Veritas NetBackup.

Supported Platform Notes

The following notes describe platform support for Pivotal Greenplum. Please send any questions or comments to Pivotal Support at https://support.pivotal.io.

  • 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 all 1U and 2U commodity servers with local storage. Special purpose hardware that is not commodity may be supported at the full discretion of Pivotal Product Management based on the general similarity of the hardware to commodity servers.
  • 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 when running on virtualized systems, as long as the storage is presented as block devices and the XFS file system is mounted for the storage of the segment directories.
  • A minimum of 10-gigabit network is required for a system configuration to be supported by 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.
  • For Red Hat Enterprise Linux 7.2 or CentOS 7.2, the default systemd setting RemoveIPC=yes removes IPC connections when non-system users logout. This causes the Greenplum Database utility gpinitsystem to fail with semaphore errors. To avoid this issue, see "Setting the Greenplum Recommended OS Parameters" in the Greenplum Database Installation Guide.

Pivotal Greenplum Tools and Extensions Compatibility

Client Tools

Greenplum releases a number of client tool packages on various platforms that can be used to connect to Greenplum Database and the Greenplum Command Center management tool. The following table describes the compatibility of these packages with this Greenplum Database release.

Tool packages are available from Pivotal Network.

Table 2. Pivotal Greenplum 5.3.0 Tools Compatibility
Tool Description of Contents Tool Version Server Versions
Pivotal Greenplum Clients Greenplum Database Command-Line Interface (psql) 5.0 5.0.0
Pivotal Greenplum Loaders Greenplum Database Parallel Data Loading Tools (gpfdist, gpload) 5.0 5.0.0
Pivotal Greenplum Command Center Greenplum Database management tool 3.2.2 and later 5.0.0
Pivotal Greenplum Workload Manager Greenplum Database query monitoring and management tool 1.8.0 5.0.0

The Greenplum Database Client Tools and Load Tools are supported on the following platforms:

  • AIX 7.2 (64-bit) (Client and Load Tools only)
    Note: The Clients for AIX7 package is not available for download with Greenplum Database 5.3.0; download this package from the Greenplum Database 5.0.0 file collection on Pivotal Network.
  • Red Hat Enterprise Linux x86_64 6.x (RHEL 6)
  • SuSE Linux Enterprise Server x86_64 SLES 11 SP4, or SLES 12 SP2/SP3
  • 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)

Extensions

Table 3. Pivotal Greenplum 5.3.0 Extensions Compatibility
Pivotal Greenplum Extension Versions
MADlib machine learning for Greenplum Database 5.0.x1 MADlib 1.12, 1.11
PL/Java for Greenplum Database 5.0.x PL/Java 1.4.2, 1.4.0
PL/R for Greenplum Database 5.0.x 2.3.0, 2.2.0
PostGIS Spatial and Geographic Objects for Greenplum Database 5.0.x 2.1.5
Python Data Science Module Package for Greenplum Database 5.0.x2 1.0.0, 1.1.0
R Data Science Library Package for Greenplum Database 5.0.x3 1.0.0
Note: 1For information about MADlib support and upgrade information, see the MADlib FAQ.

2For information about the Python package, including the modules provided, see the Python Data Science Module Package.

3For information about the R package, including the libraries provided, see the R Data Science Library Package.

These Greenplum Database extensions are installed with Pivotal Greenplum Database
  • Fuzzy String Match Extension
  • PL/Python Extension
  • pgcrypto Extension

Pivotal Greenplum Data Connectors

  • Greenplum Platform Extension Framework (PXF) - PXF, integrated with Greenplum Database 5.3.0, provides access to HDFS, Hive, and HBase external data stores. Refer to Accessing External Data with PXF in the Greenplum Database Administrator Guide for PXF configuration and usage information.
  • Greenplum-Spark Connector - The Pivotal Greenplum-Spark Connector supports high speed, parallel data transfer from Greenplum Database to an Apache Spark cluster. The Greenplum-Spark Connector is available as a separate download from Pivotal Network. Refer to the Greenplum-Spark Connector documentation for compatibility and usage information.
  • Gemfire-Greenplum Connector - The Pivotal Gemfire-Greenplum Connector supports the transfer of data between a GemFire region and a Greenplum Database cluster. The Gemfire-Greenplum Connector is available as a separate download from Pivotal Network. Refer to the Gemfire-Greenplum Connector documentation for compatibility and usage information.

Pivotal GPText Compatibility

Pivotal Greenplum Database 5.3.0 is compatible with Pivotal GPText version 2.1.3 and later.

Pivotal Greenplum Command Center

See the Greenplum Command Center documentation site for GPCC and Greenplum Workload Manager compatibility information.

Hadoop Distribution Compatibility

Greenplum Database provides access to HDFS with gphdfs and the Greenplum Platform Extension Framework (PXF).

PXF Hadoop Distribution Compatibility

PXF supports Cloudera, Hortonworks Data Platform, and generic Apache Hadoop distributions.

If you plan to access JSON format data stored in a Cloudera Hadoop cluster, PXF requires a Cloudera version 5.8 or later Hadoop distribution.

gphdfs Hadoop Distribution Compatibility

The supported Hadoop distributions for gphdfs are listed below:

Table 4. Supported gphdfs Hadoop Distributions
Hadoop Distribution Version gp_hadoop_ target_version
Cloudera CDH 5.2, 5.3, 5.4.x - 5.8.x cdh5
CDH 5.0, 5.1 cdh4.1
Hortonworks Data Platform HDP 2.1, 2.2, 2.3, 2.4, 2.5 hdp2
MapR MapR 4.x, MapR 5.x gpmr-1.2
Apache Hadoop 2.x hadoop2
Note: MapR requires the MapR client. For MapR 5.x, only TEXT and CSV are supported in the FORMAT clause of the CREATE EXTERNAL TABLE command.

Upgrading to Greenplum Database 5.3.0

The upgrade path supported for this release is Greenplum Database 5.x to Greenplum Database 5.3.0. Upgrading a Greenplum Database 4.3.x release to Pivotal Greenplum 5.x is not supported. See Migrating Data to Pivotal Greenplum 5.x.

Note: If you are upgrading Greenplum Database on a DCA system, see Pivotal Greenplum on DCA Systems.

Prerequisites

Before starting the upgrade process, Pivotal recommends performing the following checks.

  • Verify the health of the Greenplum Database host hardware, and that you verify that the hosts meet the requirements for running Greenplum Database. The Greenplum Database gpcheckperf utility can assist you in confirming the host requirements.
    Note: If you need to run the gpcheckcat utility, Pivotal recommends running it a few weeks before the upgrade and that you run gpcheckcat during a maintenance period. If necessary, you can resolve any issues found by the utility before the scheduled upgrade.

    The utility is in $GPHOME/bin. Pivotal recommends that Greenplum Database be in restricted mode when you run gpcheckcat utility. See the Greenplum Database Utility Guide for information about the gpcheckcat utility.

    If gpcheckcat reports catalog inconsistencies, you can run gpcheckcat with the -g option to generate SQL scripts to fix the inconsistencies.

    After you run the SQL scripts, run gpcheckcat again. You might need to repeat the process of running gpcheckcat and creating SQL scripts to ensure that there are no inconsistencies. Pivotal recommends that the SQL scripts generated by gpcheckcat be run on a quiescent system. The utility might report false alerts if there is activity on the system.

    Important: If the gpcheckcat utility reports errors, but does not generate a SQL script to fix the errors, contact Pivotal support. Information for contacting Pivotal Support is at https://support.pivotal.io.
  • During the migration process from Greenplum Database 5.0.0, a backup is made of some files and directories in $MASTER_DATA_DIRECTORY. Pivotal recommends that files and directories that are not used by Greenplum Database be backed up, if necessary, and removed from the $MASTER_DATA_DIRECTORY before migration. For information about the Greenplum Database migration utilities, see the Greenplum Database Documentation.

For information about supported versions of Greenplum Database extensions, see Pivotal Greenplum Tools and Extensions Compatibility.

If you are utilizing Data Domain Boost, you have to re-enter your DD Boost credentials after upgrading from Greenplum Database 4.2.x.x to 4.3.x.x as follows:

gpcrondump --ddboost-host ddboost_hostname --ddboost-user ddboost_user
  --ddboost-backupdir backup_directory
Note: If you do not reenter your login credentials after an upgrade, your backup will never start because the Greenplum Database cannot connect to the Data Domain system. You will receive an error advising you to check your login credentials.

If you have configured the Greenplum Platform Extension Framework (PXF) in your previous Greenplum Database installation, you must stop the PXF service and back up PXF configuration files before upgrading to a new version of Greenplum Database. Refer to PXF Pre-Upgrade Actions for instructions.

If you do not plan to use PXF, or you have not yet configured PXF, no action is necessary.

Upgrading from 5.x to 5.3.0

An upgrade from 5.x to 5.3.0 involves stopping Greenplum Database, updating the Greenplum Database software binaries, upgrading and restarting Greenplum Database. If you are using Greenplum Database extension packages there are additional requirements. See Prerequisites in the previous section.

Note: If the Greenplum Command Center database gpperfmon is installed in your Greenplum Database system, the migration process changes the distribution key of the Greenplum Database log_alert_* tables to the logtime column. The redistribution of the table data might take some time the first time you start Greenplum Database after migration. The change occurs only the first time you start Greenplum Database after a migration.
  1. Log in to your Greenplum Database master host as the Greenplum administrative user:
    $ su - gpadmin
  2. Perform a smart shutdown of your current Greenplum Database 5.x system (there can be no active connections to the database). This example uses the -a option to disable confirmation prompts:
    $ gpstop -a
  3. Run the binary installer for 5.3.0 on the Greenplum Database master host.
    When prompted, choose an installation location in the same base directory as your current installation. For example:
    /usr/local/greenplum-db-5.3.0

    If you install Greenplum Database with the rpm (as root), the installation directory is /usr/local/greenplum-db-5.3.0.

    For the rpm installation, update the permissions for the new installation. For example, run this command as root to change user and group of the installed files to gpadmin.

    # chown -R gpadmin:gpadmin /usr/local/greenplum*
  4. If your Greenplum Database deployment uses LDAP authentication, manually edit the /usr/local/greenplum-db/greenplum_path.sh file to add the line:
    export LDAPCONF=/etc/openldap/ldap.conf
  5. Edit the environment of the Greenplum Database superuser (gpadmin) and make sure you are sourcing the greenplum_path.sh file for the new installation. For example change the following line in .bashrc or your chosen profile file:
    source /usr/local/greenplum-db-5.0.0/greenplum_path.sh

    to:

    source /usr/local/greenplum-db-5.3.0/greenplum_path.sh

    Or if you are sourcing a symbolic link (/usr/local/greenplum-db) in your profile files, update the link to point to the newly installed version. For example:

    $ rm /usr/local/greenplum-db
    $ ln -s /usr/local/greenplum-db-5.3.0 /usr/local/greenplum-db
  6. Source the environment file you just edited. For example:
    $ source ~/.bashrc
  7. Run the gpseginstall utility to install the 5.3.0 binaries on all the segment hosts specified in the hostfile. For example:
    $ gpseginstall -f hostfile
  8. Use the Greenplum Database gppkg utility to install Greenplum Database extensions. If you were previously using any Greenplum Database extensions such as pgcrypto, PL/R, PL/Java, PL/Perl, and PostGIS, download the corresponding packages from Pivotal Network, and install using this utility. See the Greenplum Database Documentation for gppkg usage details.
  9. After all segment hosts have been upgraded, you can log in as the gpadmin user and restart your Greenplum Database system:
    # su - gpadmin
    $ gpstart
  10. If you are utilizing Data Domain Boost, you have to re-enter your DD Boost credentials after upgrading from Greenplum Database to 5.3.0 as follows:
    gpcrondump --ddboost-host ddboost_hostname --ddboost-user ddboost_user
      --ddboost-backupdir backup_directory
    Note: If you do not reenter your login credentials after an upgrade, your backup will never start because the Greenplum Database cannot connect to the Data Domain system. You will receive an error advising you to check your login credentials.
  11. If you configured PXF in your previous Greenplum Database installation, you must re-initialize the PXF service after you upgrade Greenplum Database. Refer to Upgrading PXF for instructions.

Troubleshooting a Failed Upgrade

If you experience issues during the migration process and have active entitlements for Greenplum Database that were purchased through Pivotal, contact Pivotal Support. Information for contacting Pivotal Support is at https://support.pivotal.io.

Be prepared to provide the following information:

  • A completed Upgrade Procedure.
  • Log output from gpcheckcat (located in ~/gpAdminLogs)

Migrating Data to Pivotal Greenplum 5.x

Upgrading a Pivotal Greenplum Database 4.x system directly to Pivotal Greenplum Database 5.x is not supported.

You can migrate existing data to Greenplum Database 5.x using standard backup and restore procedures (gpcrondump and gpdbrestore) or by using gptransfer if both clusters will run side-by-side.

Follow these general guidelines for migrating data:
  • Make sure that you have a complete backup of all data in the Greenplum Database 4.3.x cluster, and that you can successfully restore the Greenplum Database 4.3.x cluster if necessary.
  • You must install and initialize a new Greenplum Database 5.x cluster using the version 5.x gpinitsystem utility.
    Note: Unless you modify file locations manually, gpdbrestore only supports restoring data to a cluster that has an identical number of hosts and an identical number of segments per host, with each segment having the same content_id as the segment in the original cluster. If you initialize the Greenplum Database 5.x cluster using a configuration that is different from the version 4.3 cluster, then follow the steps outlined in Restoring to a Different Greenplum System Configuration to manually update the file locations.
  • If you intend to install Greenplum Database 5.x on the same hardware as your 4.3.x system, you will need enough disk space to accommodate over 5 times the original data set (2 full copies of the primary and mirror data sets, plus the original backup data in ASCII format). Keep in mind that the ASCII backup data will require more disk space than the original data, which may be stored in compressed binary format. Offline backup solutions such as Dell EMC Data Domain or Veritas NetBackup can reduce the required disk space on each host.
  • Use the version 5.x gpdbrestore utility to load the 4.3.x backup data into the new cluster.
  • If the Greenplum Database 5.x cluster resides on separate hardware from the 4.3.x cluster, you can optionally use the version 5.x gptransfer utility to migrate the 4.3.x data. You must initiate the gptransfer operation from the version 5.x cluster, pulling the older data into the newer system.

    On a Greenplum Database system with FIPS enabled, validating table data with MD5 (specifying the option --validate=md5) is not available. Use the option sha256 to validate table data.

    Validating table data with SHA-256 (specifying the option --validate=sha256) requires the Greenplum Database pgcrypto extension. The extension is included with Pivotal Greenplum 5.x. The extension package must be installed on supported Pivotal Greenplum 4.3.x systems. Support for pgcrypto functions in a Greenplum 4.3.x database is not required.

  • After migrating data you may need to modify SQL scripts, administration scripts, and user-defined functions as necessary to account for changes in Greenplum Database version 5.x. Look for Upgrade Action Required entries in the Pivotal Greenplum 5.0.0 Release Notes for features that may necessitate post-migration tasks.

Pivotal Greenplum on DCA Systems

On supported Dell EMC DCA systems, you can install Pivotal Greenplum 5.3.0, or you can upgrade from Pivotal Greenplum 5.x to 5.3.0.

Only Pivotal Greenplum Database is supported on DCA systems. Open source versions of Greenplum Database are not supported.

Important: Upgrading Pivotal Greenplum Database 4.3.x to Pivotal Greenplum 5.3.0 is not supported. See Migrating Data to Pivotal Greenplum 5.x.

Installing the Pivotal Greenplum 5.3.0 Software Binaries on DCA Systems

Important: This section is for installing Pivotal Greenplum 5.3.0 only on DCA systems. Also, see the information on the DELL EMC support site (requires login).

For information about installing Pivotal Greenplum on non-DCA systems, see the Greenplum Database Installation Guide.

Prerequisites

  • Ensure your DCA system supports Pivotal Greenplum 5.3.0. See Supported Platforms.
  • Ensure Greenplum Database 4.3.x is not installed on your system.

    Installing Pivotal Greenplum 5.3.0 on a DCA system with an existing Greenplum Database 4.3.x installation is not supported. For information about uninstalling Greenplum Database software, see your Dell EMC DCA documentation.

Installing Pivotal Greenplum 5.3.0

  1. Download or copy the Greenplum Database DCA installer file greenplum-db-appliance-5.3.0-RHEL6-x86_64.bin to the Greenplum Database master host.
  2. As root, run the DCA installer for 5.3.0 on the Greenplum Database master host and specify the file hostfile that lists all hosts in the cluster, one host name per line. If necessary, copy hostfile to the directory containing the installer before running the installer.

    This example command runs the installer for Greenplum Database 5.3.0.

    # ./greenplum-db-appliance-5.3.0-RHEL6-x86_64.bin hostfile

Upgrading from 5.x to 5.3.0 on DCA Systems

Upgrading Pivotal Greenplum from 5.x to 5.3.0 on a Dell EMC DCA system involves stopping Greenplum Database, updating the Greenplum Database software binaries, and restarting Greenplum Database.

Important: This section is only for upgrading to Pivotal Greenplum 5.3.0 on DCA systems. For information about upgrading on non-DCA systems, see Upgrading to Greenplum Database 5.3.0.
  1. Log in to your Greenplum Database master host as the Greenplum administrative user (gpadmin):
    # su - gpadmin
  2. Download or copy the installer file greenplum-db-appliance-5.3.0-RHEL6-x86_64.bin to the Greenplum Database master host.
  3. Perform a smart shutdown of your current Greenplum Database 5.x system (there can be no active connections to the database). This example uses the -a option to disable confirmation prompts:
    $ gpstop -a
  4. As root, run the Greenplum Database DCA installer for 5.3.0 on the Greenplum Database master host and specify the file hostfile that lists all hosts in the cluster. If necessary, copy hostfile to the directory containing the installer before running the installer.

    This example command runs the installer for Greenplum Database 5.3.0 for Red Hat Enterprise Linux 6.x.

    # ./greenplum-db-appliance-5.3.0-RHEL6-x86_64.bin hostfile

    The file hostfile is a text file that lists all hosts in the cluster, one host name per line.

  5. Install Greenplum Database extension packages. For information about installing a Greenplum Database extension package, see gppkg in the Greenplum Database Utility Guide.
  6. After all segment hosts have been upgraded, you can log in as the gpadmin user and restart your Greenplum Database system:
    # su - gpadmin
    $ gpstart
  7. If you are utilizing Data Domain Boost, you have to re-enter your DD Boost credentials after upgrading to Greenplum Database 5.3.0 as follows:
    gpcrondump --ddboost-host ddboost_hostname --ddboost-user ddboost_user
      --ddboost-backupdir backup_directory
Note: If you do not reenter your login credentials after an upgrade, your backup will never start because the Greenplum Database cannot connect to the Data Domain system. You will receive an error advising you to check your login credentials.

Resolved Issues

The listed issues that are resolved in Pivotal Greenplum Database 5.3.0

For issues resolved in prior 5.x releases, refer to the corresponding release notes. Release notes are available from the Pivotal Greenplum page on Pivotal Network or on the Pivotal Greenplum Database documentation site at Release Notes.

29148 - PL/pgSQL, 3674 - Query Execution
In some cases, INSERT commands acquired a table lock in Greenplum Database 5.x. This was a change from Greenplum Database 4.3.x releases.
This issue has been resolved. INSERT commands no longer acquire a table lock.
29143 - S3
In some cases when inserting a large amount of data to an external table defined with s3 protocol, the operation failed when AWS returned a RequestTimeout error. The s3 protocol did not retry writing to the S3 data source.

This issue has been resolved. The s3 protocol has been enhanced to retry writing to the AWS S3 data store when a RequestTimeout error occurs.

29132 - S3
When inserting data into a Greenplum Database writable external table that is defined with the s3 protocol and is configured to use compression, the data was not stored in compressed format in the S3 data store.
This issue has been resolved. Now the data is stored in compressed format in the S3 data store.
29129 - Query Execution
In some cases, when Greenplum Database memory consumption was extremely high, the runaway query termination mechanism that is used to free memory caused a Greenplum Database PANIC. The query termination mechanism did not terminate some query sessions correctly.
This issue has been resolved. The selection and termination methods for the termination mechanism have been improved.
29008 - Query Optimizer
For some queries that could use a Bitmap index, GPORCA did not choose a bitmap index scan because an incorrect cost model was used to cost bitmap scans. This caused GPORCA to choose a less efficient query plan.
This issue has been resolved. GPORCA now uses a cost model that chooses a plan with a bitmap index scan whenever applicable.
3490 - Backup and Restore
The Greenplum Database backup and restore utilities gpcrondump, gpdbrestore, pg_dump, and pg_restore had limited support for backing up and restoring partitioned tables that have been altered by exchanging a leaf child partition with a readable external table.
You could not back up and restore multi-level partitioned tables when a leaf child partition is a readable external table. You can back up and restore single-level partitioned tables when a leaf child partition is a readable external table if the partitions are named partitions (partitionname in the pg_partitions system view is not NULL for the partition).
This issue has been resolved. The utilities support backing up and restoring the specified type of table.
152456087 - Query Optimizer
For queries against only partitioned tables where the number of table joins is greater than 2, and the exhaustive join ordering algorithm was disabled, GPORCA generated a plan that did not use Hash Join based implementation of joins.
This issue has been resolved. GPORCA now generates plans that use a more efficient Hash Joint in the specified situation.
152455099 - Query Optimizer
For some queries, GPORCA generated join ordering alternatives that were swaps of join predicates rather than a change of the order of the join participants. These join ordering alternatives degraded GPORCA performance by causing unnecessary plan alternatives to be generated.
This issue has been resolved. Now GPORCA does not generate join ordering alternatives that are swaps of join predicates.
151530276 - Query Optimizer
When generating a query plan, GPORCA did not recognize requests to interrupt and abort query optimization when processing queries that have long optimization time resulting in the VMEM limit being reached or the system becoming unstable.
This issue has been resolved. Now GPORCA aborts query optimization when it receives an interrupt request in the specified situations.

Known Issues and Limitations

Pivotal Greenplum 5.x has these limitations:

  • Upgrading a Greenplum Database 4.3.x release to Pivotal Greenplum 5.x is not supported. See Migrating Data to Pivotal Greenplum 5.x.
  • Some features are works-in-progress and are considered to be experimental features. Pivotal does not support using experimental features in a production environment. See Experimental Features.
  • Greenplum Database 4.3.x packages are not compatible with Pivotal Greenplum 5.x.

The following table lists key known issues in Pivotal Greenplum 5.x.

Table 5. Key Known Issues in Pivotal Greenplum 5.x
Issue Category Description
151135629 COPY command When the ON SEGMENT clause is specified, the COPY command does not support specifying a SELECT statement in the COPY TO clause. For example, this command is not supported.
COPY (SELECT * FROM testtbl) TO '/tmp/mytst<SEGID>' ON SEGMENT
29064 Storage: DDL The money data type accepts out-of-range values as negative values, and no error message is displayed.

Workaround: Use only in-range values for the money data type (32-bit for Greenplum Database 4.x, or 64-bit for Greenplum Database 5.x). Or, use an alternative data type such as numeric or decimal.

3290 JSON The to_json() function is not implemented as a callable function. Attempting to call the function results in an error. For example:
tutorial=# select to_json('Fred said "Hi."'::text); 
ERROR: function to_json(text) does not exist
LINE 1: select to_json('Fred said "Hi."'::text);
^
HINT: No function matches the given name and argument types. 
You might need to add explicit type casts.

Workaround: Greenplum Database invokes to_json() internally when casting to the json data type, so perform a cast instead. For example: SELECT '{"foo":"bar"}'::json; Greenplum Database also provides the array_to_json() and row_to_json() functions.

148119917 Resource Groups Testing of the resource groups feature has found that a kernel panic can occur when using the default kernel in RHEL/CentOS system. The problem occurs due to a problem in the kernel cgroups implementation, and results in a kernel panic backtrace similar to:
[81375.325947] BUG: unable to handle kernel NULL pointer dereference at 0000000000000010
      [81375.325986] IP: [<ffffffff812f94b1>] rb_next+0x1/0x50 [81375.326014] PGD 0 [81375.326025]
      Oops: 0000 [#1] SMP [81375.326041] Modules linked in: veth ipt_MASQUERADE
      nf_nat_masquerade_ipv4 iptable_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_nat_ipv4 xt_addrtype
      iptable_filter xt_conntrack nf_nat nf_conntrack bridge stp llc intel_powerclamp coretemp
      intel_rapl dm_thin_pool dm_persistent_data dm_bio_prison dm_bufio kvm_intel kvm crc32_pclmul
      ghash_clmulni_intel aesni_intel lrw gf128mul glue_helper ablk_helper cryptd iTCO_wdt
      iTCO_vendor_support ses enclosure ipmi_ssif pcspkr lpc_ich sg sb_edac mfd_core edac_core
      mei_me ipmi_si mei wmi ipmi_msghandler shpchp acpi_power_meter acpi_pad ip_tables xfs
      libcrc32c sd_mod crc_t10dif crct10dif_generic mgag200 syscopyarea sysfillrect crct10dif_pclmul
      sysimgblt crct10dif_common crc32c_intel drm_kms_helper ixgbe ttm mdio ahci igb libahci drm ptp
      pps_core libata dca i2c_algo_bit [81375.326369]  i2c_core megaraid_sas dm_mirror
      dm_region_hash dm_log dm_mod [81375.326396] CPU: 17 PID: 0 Comm: swapper/17 Not tainted
      3.10.0-327.el7.x86_64 #1 [81375.326422] Hardware name: Cisco Systems Inc
      UCSC-C240-M4L/UCSC-C240-M4L, BIOS C240M4.2.0.8b.0.080620151546 08/06/2015 [81375.326459] task:
      ffff88140ecec500 ti: ffff88140ed10000 task.ti: ffff88140ed10000 [81375.326485] RIP:
      0010:[<ffffffff812f94b1>]  [<ffffffff812f94b1>] rb_next+0x1/0x50 [81375.326514] RSP:
      0018:ffff88140ed13e10  EFLAGS: 00010046 [81375.326534] RAX: 0000000000000000 RBX:
      0000000000000000 RCX: 0000000000000000 [81375.326559] RDX: ffff88282f1d4800 RSI:
      ffff88280bc0f140 RDI: 0000000000000010 [81375.326584] RBP: ffff88140ed13e58 R08:
      0000000000000000 R09: 0000000000000001 [81375.326609] R10: 0000000000000000 R11:
      0000000000000001 R12: ffff88280b0e7000 [81375.326634] R13: 0000000000000000 R14:
      0000000000000000 R15: 0000000000b6f979 [81375.326659] FS:  0000000000000000(0000)
      GS:ffff88282f1c0000(0000) knlGS:0000000000000000 [81375.326688] CS:  0010 DS: 0000 ES: 0000
      CR0: 0000000080050033 [81375.326708] CR2: 0000000000000010 CR3: 000000000194a000 CR4:
      00000000001407e0 [81375.326733] DR0: 0000000000000000 DR1: 0000000000000000 DR2:
      0000000000000000 [81375.326758] DR3: 0000000000000000 DR6: 00000000ffff0ff0 DR7:
      0000000000000400 [81375.326783] Stack: [81375.326792]  ffff88140ed13e58 ffffffff810bf539
      ffff88282f1d4780 ffff88282f1d4780 [81375.326826]  ffff88140ececae8 ffff88282f1d4780
      0000000000000011 ffff88140ed10000 [81375.326861]  0000000000000000 ffff88140ed13eb8
      ffffffff8163a10a ffff88140ecec500 [81375.326895] Call Trace: [81375.326912]
      [<ffffffff810bf539>] ? pick_next_task_fair+0x129/0x1d0 [81375.326940]  [<ffffffff8163a10a>]
      __schedule+0x12a/0x900 [81375.326961]  [<ffffffff8163b9e9>] schedule_preempt_disabled+0x29/0x70
      [81375.326987]  [<ffffffff810d6244>] cpu_startup_entry+0x184/0x290 [81375.327011]
      [<ffffffff810475fa>] start_secondary+0x1ba/0x230 [81375.327032] Code: e5 48 85 c0 75 07 eb 19 66
      90 48 89 d0 48 8b 50 10 48 85 d2 75 f4 48 8b 50 08 48 85 d2 75 eb 5d c3 31 c0 5d c3 0f 1f 44
      00 00 55 <48> 8b 17 48 89 e5 48 39 d7 74 3b 48 8b 47 08 48 85 c0 75 0e eb [81375.327157] RIP
      [<ffffffff812f94b1>] rb_next+0x1/0x50 [81375.327179]  RSP <ffff88140ed13e10> [81375.327192] CR2:
      0000000000000010

Workaround: Upgrade to the latest-available kernel for your Red Hat or CentOS release to avoid the above system panic.

149789783 Resource Groups Significant Pivotal Greenplum performance degradation has been observed when enabling resource group-based workload management on Red Hat 6.x, CentOS 6.x, and SuSE 11 systems. This issue is caused by a Linux cgroup kernel bug. This kernel bug has been fixed in CentOS 7.x and Red Hat 7.x systems.

When resource groups are enabled on systems with an affected kernel, there can be a delay of 1 second or longer when starting a transaction or a query. The delay is caused by a Linux cgroup kernel bug where a synchronization mechanism called synchronize_sched is abused when a process is attached to a cgroup. See http://www.spinics.net/lists/cgroups/msg05708.html and https://lkml.org/lkml/2013/1/14/97 for more information.

The issue causes single attachment operations to take longer and also causes all concurrent attachments to be executed in sequence. For example, one process attachment could take about 0.01 second. When concurrently attaching 100 processes, the fastest process attachment takes 0.01 second and the slowest takes about 1 second. Pivotal Greenplum performs process attachments when a transaction or queries are started. So the performance degradation is dependent on concurrent started transactions or queries, and not related to concurrent running queries. Also Pivotal Greenplum has optimizations to bypass the rewriting when a QE is reused by multiple queries in the same session.

Workaround: This bug does not affect CentOS 7.x and Red Hat 7.x systems.

If you use Red Hat 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.

SuSE 11 does not have a kernel version that resolves this issue; resource groups are still considered to be an experimental feature on this platform. Resource groups are not supported on SuSE 11 for production use.

150906510 Backup and Restore Greenplum Database 4.3.15.0 and later backups contain the following line in the backup files:
SET gp_strict_xml_parse = false;

However, Greenplum Database 5.0.0 does not have a parameter named gp_strict_xml_parse. When you restore the 4.3 backup set to the 5.0.0 cluster, you may see the warning:

[WARNING]:-gpdbrestore finished but ERRORS were found, please check the restore report file for details

Also, the report file may contain the error:

ERROR:  unrecognized configuration parameter "gp_strict_xml_parse"

These warnings and errors do not affect the restoration procedure, and can be ignored.