SAP HANA System Replication Scale-Up - Performance Optimized Scenario #
with SAPHanaSR-angi
SAP
SUSE® Linux Enterprise Server for SAP Applications is optimized in various ways for SAP* applications. This guide provides detailed information about installing and customizing SUSE Linux Enterprise Server for SAP Applications for SAP HANA system replication in the performance optimized scenario. The document focuses on the steps to integrate an already installed and working SAP HANA with system replication. It is based on SUSE Linux Enterprise Server for SAP Applications 15 SP6. The concept however can be used with SUSE Linux Enterprise Server for SAP Applications 15 SP4 or newer.
Disclaimer: Documents published as part of the SUSE Best Practices series have been contributed voluntarily by SUSE employees and third parties. They are meant to serve as examples of how particular actions can be performed. They have been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. SUSE cannot verify that actions described in these documents do what is claimed or whether actions described have unintended consequences. SUSE LLC, its affiliates, the authors, and the translators may not be held liable for possible errors or the consequences thereof.
1 About this guide #
1.1 Introduction #
SUSE® Linux Enterprise Server for SAP Applications is optimized in various ways for SAP* applications. This guide provides detailed information about installing and customizing SUSE Linux Enterprise Server for SAP Applications for SAP HANA system replication in the performance optimized scenario.
“SAP customers invest in SAP HANA” is the conclusion reached by a recent market study carried out by Pierre Audoin Consultants (PAC). In Germany, half of the companies expect SAP HANA to become the dominant database platform in the SAP environment. Often the “SAP Business Suite* powered by SAP HANA*” scenario is already being discussed in concrete terms.
SUSE is accommodating this development by offering SUSE Linux Enterprise Server for SAP Applications, the recommended and supported operating system for SAP HANA. In close collaboration with SAP, cloud service and hardware partners, SUSE provides resource agents for customers to ensure the high availability of SAP HANA system replications.
1.1.1 Abstract #
This guide describes planning, setup, and basic testing of SUSE Linux Enterprise Server for SAP Applications based on the high availability solution scenario "SAP HANA Scale-Up System Replication Performance Optimized".
From the application perspective, the following variants are covered:
Plain system replication
System replication with secondary site read-enabled
Multi-tier (chained) system replication
Multi-target system replication
Multi-tenant database containers for all above
From the infrastructure perspective, the following variants are covered:
2-node cluster with disk-based SBD
3-node cluster with diskless SBD
On-premises deployment on physical and virtual machines
Public cloud deployment (usually needs additional documentation focusing on the cloud specific implementation details)
Deployment automation simplifies roll-out. There are several options available, particularly on public cloud platfoms. Ask your public cloud provider or your SUSE contact for more information.
See Section 2, “Supported scenarios and prerequisites” for details.
In this guide the software package SAPHanaSR-angi is used. This package replaces the two packages SAPHanaSR and SAPHanaSR-ScaleOut. Thus new deployment should be done with SAPHanaSR-angi only. For upgrading existing clusters to SAPHanaSR-angi, please read the blog article https://www.suse.com/c/how-to-upgrade-to-saphanasr-angi/ .
1.1.2 Scale-up versus scale-out #
The first set of scenarios includes the topology of scale-up solutions.
These scenarios are covered by the package SAPHanaSR-angi. System replication helps to replicate the database data from one computer to another computer to compensate for database failures (single-box replication).
The second set of scenarios includes the toplogy of scale-out solutions (multi-box replication). These scenarios are also covered by the package SAPHanaSR-angi.
With this mode of operation, internal SAP HANA high availability (HA) mechanisms and the resource agent must work together or be coordinated with each other. SAP HANA system replication automation for scale-out is described in a separate document available on our documentation Web page at https://documentation.suse.com/sbp/sap/. The document for scale-out is named "SAP HANA System Replication Scale-Out - Performance Optimized Scenario".
1.1.3 Scale-up scenarios and resource agents #
SUSE has implemented the scale-up scenario with the SAPHanaController
resource
agent (RA), which performs the actual check of the SAP HANA database
instances. This RA is configured as a multi-state resource. In the
scale-up scenario, the promoted RA instance assumes responsibility for the SAP HANA
databases running in primary mode. The non-promoted RA instance is responsible for
instances that are operated in synchronous (secondary) status.
To make configuring the cluster as simple as possible, SUSE has
developed the SAPHanaTopology
resource agent. This RA runs on all nodes
of a SUSE Linux Enterprise Server for SAP Applications cluster and gathers information about the
statuses and configurations of SAP HANA system replications. It is
designed as a normal (stateless) clone.
SAP HANA system replication for scale-up is supported in the following scenarios or use cases:
Performance optimized (A ⇒ B). This scenario and setup is described in this document.
Figure 3: SAP HANA System Replication Scale-Up in the Cluster - performance optimized #In the performance optimized scenario an SAP HANA RDBMS site A is synchronizing with an SAP HANA RDBMS site B on a second node. As the SAP HANA RDBMS on the second node is configured to pre-load the tables, the takeover time is typically very short.
One big advance of the performance optimized scenario of SAP HANA is the possibility to allow read access on the secondary database site. To support this read enabled scenario, a second virtual IP address is added to the cluster and bound to the secondary role of the system replication.
Cost optimized (A ⇒ B, Q). This scenario and setup is described in another document available from the documentation Web page (https://documentation.suse.com/sbp/sap/). The document for cost optimized is named "SAP HANA System Replication Scale-Up - Cost Optimized Scenario".
Figure 4: SAP HANA System Replication Scale-Up in the Cluster - cost optimized #In the cost optimized scenario, the second node is also used for a stand-alone non-replicated SAP HANA RDBMS system (like QAS or TST). Whenever a takeover is needed, the non-replicated system must be stopped first. As the productive secondary system on this node must be limited in using system resources, the table preload must be switched off. A possible takeover needs longer than in the performance optimized use case.
In the cost optimized scenario, the secondary needs to be running in a reduced memory consumption configuration. This is why read enabled must not be used in this scenario.
As already explained, the secondary SAP HANA database must run with memory resource restrictions. The HA/DR provider needs to remove these memory restrictions when a takeover occurs. This is why multi SID (also MCOS) must not be used in this scenario.
Multi-tier ([A ⇒ B] → C) and Multi-target ([B ⇐ A] → C).
Figure 5: SAP HANA System Replication Scale-Up in the Cluster - performance optimized chain #A multi-tier system replication has an additional target. In the past, this third side must have been connected to the secondary (chain topology). With current SAP HANA versions, the multiple target topology is allowed by SAP. Have a look at the scenarios and prerequisites section below or consult the manual pages SAPHanaSR(7) and susHanaSR.py(7) for details.
Figure 6: SAP HANA System Replication Scale-Up in the Cluster - performance optimized multi-target #Multi-tier and multi-target systems are implemented as described in this document. Only the first replication pair (A and B) is handled by the cluster itself.
Multi-tenancy or MDC.
Multi-tenancy is supported for all above scenarios and use cases. This scenario is supported since SAP HANA SPS09. The setup and configuration from a cluster point of view is the same for multi-tenancy and single container. Thus you can use the above documents for both kinds of scenarios.
1.1.4 The concept of the performance optimized scenario #
In case of failure of the primary SAP HANA on node 1 (node or database instance) the cluster first tries to start the takeover process. This allows to use the already loaded data at the secondary site. Typically, the takeover is much faster than the local restart.
To achieve an automation of this resource handling process, you must use the SAP HANA resource agents included in SAPHanaSR-angi. System replication of the productive database is automated with SAPHanaController and SAPHanaTopology.
The cluster only allows a takeover to the secondary site if the SAP HANA system replication was in sync until the point when the service of the primary got lost. This ensures that the last commits processed on the primary site are already available at the secondary site.
SAP did improve the interfaces between SAP HANA and external software, such as cluster frameworks. These improvements also include the implementation of SAP HANA call outs in case of special events, such as status changes for services or system replication channels. These call outs are also called HA/DR providers. These interfaces can be used by implementing SAP HANA hooks written in python. SUSE has enhanced the SAPHanaSR package to include such SAP HANA hooks to optimize the cluster interface. Using the SAP HANA hooks described in this document allows to inform the cluster immediately if the SAP HANA system replication is broken. In addition to the SAP HANA hook status, the cluster continues to poll the system replication status on a regular basis.
You can adjust the level of automation by setting the parameter AUTOMATED_REGISTER
.
If automated registration is activated, the cluster will automatically register
a former failed primary to become the new secondary. Refer to the manual pages
SAPHanaSR(7) and ocf_suse_SAPHana(7) for details on all supported parameters and features.
The solution is not designed to manually 'migrate' the primary or secondary instance using HAWK or any other cluster client commands. In the Administration section of this document we describe how to 'migrate' the primary to the secondary site using SAP and cluster commands.
1.2 Ecosystem of the document #
1.2.1 Additional documentation and resources #
Chapters in this manual contain links to additional documentation resources that are either available on the system or on the Internet.
For the latest documentation updates, see https://documentation.suse.com/.
You can find numerous whitepapers, best practices, setup guides, and other resources on the SUSE Linux Enterprise Server for SAP Applications best practices Web page: https://documentation.suse.com/sbp/sap/. In particular, there is an overview of all SUSE high availability solutions for SAP HANA and SAP S/4HANA workloads. Find the overview of high availability solutions supported by SUSE Linux Enterprise Server for SAP Applications here:
SUSE also publishes blog articles about SAP and high availability. Join us by using the hashtag #TowardsZeroDowntime. Use the following link: https://www.suse.com/c/tag/TowardsZeroDowntime/.
Finally, there are manual pages shipped with the product.
1.2.2 Errata #
To deliver urgent smaller fixes and important information in a timely manner, the Technical Information Document (TID) for this setup guide will be updated, maintained and published at a higher frequency:
SAP HANA SR Performance Optimized Scenario - Setup Guide - Errata https://www.suse.com/support/kb/doc/?id=7023882
Showing SOK Status in Cluster Monitoring Tools Workaround https://www.suse.com/support/kb/doc/?id=7023526 - see also the blog article https://www.suse.com/c/lets-flip-the-flags-is-my-sap-hana-database-in-sync-or-not/
1.2.3 Feedback #
Several feedback channels are available:
- Bugs and Enhancement Requests
For services and support options available for your product, refer to http://www.suse.com/support/.
To report bugs for a product component, go to https://scc.suse.com/support/ requests, log in, and select Submit New SR (Service Request).
For feedback on the documentation of this product, you can send a mail to doc-team@suse.com. Make sure to include the document title, the product version and the publication date of the documentation. To report errors or suggest enhancements, provide a concise description of the problem and refer to the respective section number and page (or URL).
2 Supported scenarios and prerequisites #
For the SAPHanaSR-angi
package configuration as decribed in this document,
we limit the support to scale-up (single-box to single-box) system replication
with the following configurations and parameters:
Two-node clusters are standard. Three node clusters are fine if you install the resource agents also on that third node. But define in the cluster that SAP HANA resources must never run on that third node. In this case the third node is an additional majority maker in case of cluster separation.
The cluster must include a valid STONITH method.
Any STONITH mechanism supported for production use by SUSE Linux Enterprise High Availability 15 (like SBD, IPMI) is supported with SAPHanaSR-angi.
This guide is focusing on the SBD fencing method as this is hardware independent.
If you use disk-based SBD as the fencing mechanism, you need one or more shared drives. For productive environments, we recommend more than one SBD device. For details on disk-based SBD, read the product documentation for SUSE Linux Enterprise High Availability and the manual pages sbd(8) and stonith_sbd(7).
For diskless SBD, you need at least three cluster nodes. The diskless SBD mechanism has the benefit that you do not need a shared drive for fencing. Since diskless SBD is based on self-fencing, reliable detection of lost quorum is absolutely crucial.
Priority fencing is an optional improvement for two nodes, but does not work for three nodes.
Both nodes are in the same network segment (layer 2). Similar methods provided by cloud environments such as overlay IP addresses and load balancer functionality are also fine. Follow the cloud specific guides to set up your SUSE Linux Enterprise Server for SAP Applications cluster.
Technical users and groups, such as <sid>adm are defined locally in the Linux system. If that is not possible, additional measures are needed to ensure reliable resolution of users, groups and permissions at any time. This might include caching.
Name resolution of the cluster nodes and the virtual IP address must be done locally on all cluster nodes. If that is not possible, additional measures are needed to ensure reliable resolution of host names at any time.
Time synchronization between the cluster nodes, such as NTP, is required.
Both SAP HANA instances of the system replication pair (primary and secondary) have the same SAP Identifier (SID) and instance number.
If the cluster nodes are installed in different data centers or data center areas, the environment must match the requirements of the SUSE Linux Enterprise High Availability cluster product. Of particular concern are the network latency and recommended maximum distance between the nodes. Review the product documentation for SUSE Linux Enterprise High Availability about those recommendations.
Automated registration of a failed primary after takeover prerequisites need to be defined.
As a good starting configuration for projects, we recommend to switch off the automated registration of a failed primary. The setup
AUTOMATED_REGISTER="false"
is set as default. In this case, you need to register a failed primary after a takeover manually. For re-registration, use precisely the site names that are already known by the cluster. Use SAP tools like SAP HANA cockpit or hdbnsutil.For optimal automation, we recommend to set
AUTOMATED_REGISTER="true"
.
Automated start of SAP HANA instances during system boot must be switched off.
Multi-tenancy (MDC) databases are supported.
Multi-tenancy databases can be used in combination with any other setup (performance-optimized, cost-optimized, multi-tier, multi-target and read-enabled).
In MDC configurations, the SAP HANA RDBMS is treated as a single system including all database containers. Therefore, cluster takeover decisions are based on the complete RDBMS status independent of the status of individual database containers.
Tests on Multi-tenancy databases can force a different test procedure if you are using strong separation of the tenants. As an example, killing the complete SAP HANA instance using HDB kill does not work, because the tenants are running with different Linux user UIDs. <sid>adm is not allowed to terminate the processes of the other tenant users.
Only one system replication between the two SAP HANA database in the Linux cluster. Maximum one system replication to an SAP HANA database outside the Linux cluster.
Once an SAP HANA system replication site is known to the Linux cluster, that exact site name needs to be used whenever the site is registered manually.
If a third SAP HANA site is connected by system replication, that SAP HANA is not controlled by another Linux cluster. If that third site should work as part of a fall-back HA cluster in DR case, that HA cluster needs to be in standby.
The replication mode is either sync or syncmem for the controlled replication. Replication mode async is not supported. The operation modes delta_datashipping, logreplay and logreplay_readaccess are supported.
See also the dedicated section on requirements for susHanaSR.py.
The current resource agent supports SAP HANA in system replication beginning with SAP HANA version 2.0 SPS05 revision 59.04. Even in SAP HANA multi-target environments, the current resource agent manages only two sites. Thus only two SAP HANA sites are part of the Linux cluster.
Besides SAP HANA you need SAP hostagent installed and started on your system.
For SystemV style, the sapinit script needs to be active.
For systemd style, the service SAP<SID>_<INO> can stay enabled. The systemd enabled saphostagent and instance´s sapstartsrv is supported. Refer to the OS documentation for the systemd version. SAP HANA comes with native systemd integration as default starting with version 2.0 SPS07. Refer to SAP documentation for information on other SAP HANA versions.
Combining systemd style hostagent with SystemV style instance is allowed. However, all nodes in one Linux cluster need to use the same style.
The RA’s monitoring operations need to be active.
Using HA/DR provider hook for srConnectionChanged() by enabling susHanaSR.py is mandatory.
RA and HA/DR provider hook script´s runtime almost completely depends on call-outs to controlled resources, OS and Linux cluster. The infrastructure needs to allow these call-outs to return in time.
Colocation constraints between the SAPHanaController RA and other resources are allowed only if they do not affect the RA’s scoring. The location scoring finally depends on system replication status and must not be overruled by additional constraints. Thus it is not allowed to define rules forcing an SAPHanaController promoted clone to follow another resource.
Reliable access to the /hana/shared/ file system is crucial for SAP HANA and the Linux cluster.
SAP HANA feature Secondary Time Travel is not supported.
The SAP HANA Fast Restart feature on RAM-tmfps and SAP HANA on persistent memory can be used, as long as they are transparent to Linux HA.
No manual actions must be performed on the SAP HANA database while it is controlled by the Linux cluster. All administrative actions need to be aligned with the cluster.
For the HA/DR provider hook scripts susHanaSR.py and susTkOver.py, the following requirements apply:
SAP HANA 2.0 SPS05 revision 059.04 and later provides Python3 and the HA/DR provider hook method srConnectionChanegd() with multi-target-aware parameters. Python 3 and multi-target-aware parameters are needed for the
SAPHanaSR-angi
package.SAP HANA 2.0 SPS05 and later provides the HA/DR provider hook method preTakeover().
The user <sid>adm needs execution permission as user root for the command crm_attribute.
The hook provider needs to be added to the SAP HANA global configuration, in memory and on disk (in persistence).
For the HA/DR provider hook script susChkSrv.py, the following requirements apply:
SAP HANA 2.0 SPS05 or later provides the HA/DR provider hook method srServiceStateChanged() with needed parameters.
No other HA/DR provider hook script should be configured for the srServiceStateChanged() method. Hook scripts for other methods, provided in SAPHanaSR can be used in parallel to susChkSrv.py, if not documented contradictingly.
The user <sid>adm needs execution permission as user root for the command SAPHanaSR-hookHelper.
The hook provider needs to be added to the SAP HANA global configuration, in memory and on disk (in persistence).
The hook script runs in the SAP HANA name server. It runs on the node where the event srServiceStateChanged() occurs.
If susChkSrv.py parameter action_on_lost=stop is set and the RA SAPHana parameter AUTOMATED_REGISTER=true is set, it depends on HANA to release all OS resources prior to the registering attempt.
If the hook provider should be pre-compiled, the particular Python version that comes with SAP HANA needs to be used.
See also manual pages SAPHanaSR(7), susHanaSR.py(7), susTkOver.py(7) and susChkSrv.py(7) for more details and requirements.
Without a valid STONITH method, the complete cluster is unsupported and will not work properly.
If you need to implement a different scenario, we strongly recommend to define a Proof of Concept (PoC) with SUSE. This PoC will focus on testing the existing solution in your scenario. Most of the above mentioned limitations are set because careful testing is needed.
3 Scope of this document #
This document describes how to set up the cluster to control SAP HANA in System Replication scenarios. The document focuses on the steps to integrate an already installed and working SAP HANA with System Replication. To create this document, SUSE Linux Enterprise Server for SAP Applications 15 SP6 was used. However, the concept can also be used with SUSE Linux Enterprise Server for SAP Applications 15 SP4 or newer.
The described example setup builds an SAP HANA HA cluster in two data centers in Walldorf (WDF) and in Rot (ROT), installed on two SLES for SAP 15 SP6 systems.
You can either set up the cluster using the YaST wizard, doing it manually or using your own automation.
If you prefer to use the YaST wizard, you can use the shortcut yast sap_ha to start the module. The procedure to set up SAPHanaSR-angi using YaST is described in the product documentation of SUSE Linux Enterprise Server for SAP Applications in section Setting Up an SAP HANA Cluster at https://documentation.suse.com/sles-sap/15-SP6/html/SLES-SAP-guide/cha-cluster.html.
This guide focuses on the manual setup of the cluster to explain the details and to give you the possibility to create your own automation.
The seven main setup steps are:
Planning (see Section 4, “Planning the installation”)
OS installation (see Section 5, “Setting up the operating system”)
Database installation (see Section 6, “Installing the SAP HANA Databases on both cluster nodes”)
SAP HANA system replication setup (see Section 7, “Setting up SAP HANA System Replication”
SAP HANA HA/DR provider hooks (see Section 8, “Setting up SAP HANA HA/DR providers”)
Cluster configuration (see Section 9, “Configuring the cluster”)
Testing (see Section 10, “Testing the cluster”)
4 Planning the installation #
Planning the installation is essential for a successful SAP HANA cluster setup.
Before you start, you need the following:
Software from SUSE: SUSE Linux Enterprise Server for SAP Applications installation media, a valid subscription, and access to update channels
Software from SAP: SAP HANA installation media
Physical or virtual systems including disks
Filled parameter sheet (see below Section 4.2, “Parameter sheet”)
4.1 Minimum lab requirements and prerequisites #
The minimum lab requirements mentioned here are by no means SAP sizing information. These data are provided only to rebuild the described cluster in a lab for test purposes. Even for tests the requirements can increase, depending on your test scenario. For productive systems ask your hardware vendor or use the official SAP sizing tools and services.
Refer to SAP HANA TDI documentation for allowed storage configuration and file systems.
Requirements with 1 SAP system replication instance per site (1 : 1) - without a majority maker (2 node cluster):
2 VMs with each 32GB RAM, 50GB disk space for the system
1 shared disk for SBD with 10 MB disk space
2 data disks (one per site) with a capacity of each 96GB for SAP HANA
1 additional IP address for takeover
1 optional IP address for the read-enabled setup
1 optional IP address for HAWK Administration GUI
Requirements with 1 SAP instance per site (1 : 1) - with a majority maker (3 node cluster):
2 VMs with each 32GB RAM, 50GB disk space for the system
1 VM with 2GB RAM, 50GB disk space for the system
2 data disks (one per site) with a capacity of each 96GB for SAP HANA
1 additional IP address for takeover
1 optional IP address for the read-enabled setup
1 optional IP address for HAWK Administration GUI
4.2 Parameter sheet #
Even if the setup of the cluster organizing two SAP HANA sites is quite simple, the installation should be planned properly. You should have all needed parameters like SID, IP addresses and much more in place. It is good practice to first fill out the parameter sheet and then begin with the installation.
Parameter | Value | Role |
---|---|---|
Node 1 | Cluster node name and IP address. | |
Node 2 | Cluster node name and IP address. | |
Site A | Site name of the primary replicating SAP HANA database | |
Site B | Site name of the secondary replicating and the non-replicating SAP HANA database | |
SID | SAP System Identifier | |
Instance Number | Number of the SAP HANA database. For system replication also Instance Number+1 is blocked. | |
Network mask | ||
vIP primary | Virtual IP address to be assigned to the primary SAP HANA site | |
vIP secondary | Virtual IP address to be assigned to the read-enabled secondary SAP HANA site (optional) | |
Storage | Storage for HDB data and log files is connected “locally” (per node; not shared) | |
SBD | STONITH device (two for production) or diskless SBD | |
HAWK Port |
| |
NTP Server | Address or name of your time server |
Parameter | Value | Role |
---|---|---|
Node 1 |
| Cluster node name and IP address. |
Node 2 |
| Cluster node name and IP address. |
SID |
| SAP System Identifier |
Instance Number |
| Instance number of the SAP HANA database. For system replication also Instance Number+1 is blocked. |
Network mask |
| |
vIP primary |
| |
vIP secondary |
| (optional) |
Storage | Storage for HDB data and log files is connected “locally” (per node; not shared) | |
SBD |
| STONITH device (three for production) or diskless |
HAWK Port |
| |
NTP Server | pool pool.ntp.org | Address or name of your time server |
5 Setting up the operating system #
This section contains information you should consider during the installation of the operating system.
For the scope of this document, first SUSE Linux Enterprise Server for SAP Applications is installed and configured. Then the SAP HANA database including the system replication is set up. Finally the automation with the cluster is set up and configured.
5.1 Installing SUSE Linux Enterprise Server for SAP Applications #
Multiple installation guides already exist, for different purposes and with different reasons to set up the server in a certain way. Below it is outlined where this information can be found. In addition, you will find important details you should consider to get a well-working system in place.
5.1.1 Installing the base operating system #
Depending on your infrastructure and the hardware used, you need to adapt the installation. All supported installation methods and minimum requirement are described in the Deployment Guide for SUSE Linux Enterprise Server (https://documentation.suse.com/sles/15-SP6/single-html/SLES-deployment/). In case of automated installations you can find further information in the AutoYaST Guide (https://documentation.suse.com/sles/15-SP6/html/SLES-all/book-autoyast.html). The main installation guides for SUSE Linux Enterprise Server for SAP Applications that fit all requirements for SAP HANA are available from the SAP notes:
2578899 SUSE Linux Enterprise Server 15: Installation Note
2684254 SAP HANA DB: Recommended OS settings for SLES 15 / SLES for SAP Applications 15
5.1.2 Installing additional software #
With SUSE Linux Enterprise Server for SAP Applications, SUSE delivers special resource agents for SAP HANA. With the
pattern sap-hana, the old-style resource agent package SAPHanaSR
is installed.
This package needs to be replaced by the new SAPHanaSR-angi
package.
Follow the instructions
below on each node if you have installed the systems based on SAP note 2578899.
The pattern High Availability summarizes all tools recommended to be installed on
all nodes, including the majority maker.
Install the
High Availability
pattern. Do this on all nodes.suse01:~ # zypper in --type pattern ha_sles
Uninstall the old-style package and install the new
SAPHanaSR-angi
resource agents. Do this on all nodes.suse01:~ # rpm -e --nodeps SAPHanaSR SAPHanaSR-doc suse01:~ # zypper in SAPHanaSR-angi
Do not replace the package SAPHanaSR
by SAPHanaSR-angi
in an already running cluster.
Upgrading from SAPHanaSR
to SAPHanaSR-angi
requires a specific procedure. See manual page
SAPHanaSR_upgrade_to_angi(7) for details.
Installing the packages supportutils-plugin-ha-sap
and ClusterTools2
is highly
recommended. The first helps collecting data for support requests, the second
simplifies common administrative tasks.
For more information, see section Installation and Setup of the SUSE Linux Enterprise High Availability Administration Guide.
6 Installing the SAP HANA Databases on both cluster nodes #
Even though this document focuses on the integration of an installed SAP HANA with system replication already set up into the Linux cluster, this chapter summarizes the test environment. Always use the official documentation from SAP to install SAP HANA and to set up the system replication.
This guide shows SAP HANA and saphostagent with native systemd integration. An example for legacy SystemV is outlined in the appendix Section 12.5, “Example for checking legacy SystemV integration”.
Install the SAP HANA databases.
Check if the SAP hostagent is installed on all cluster nodes. If this SAP service is not installed, install it now.
Verify that both databases are up and running.
6.1 Installing the SAP HANA databases #
Read the SAP Installation and Setup Manuals available at the SAP Marketplace.
Download the SAP HANA Software from SAP Marketplace.
Install the SAP HANA database as described in the SAP HANA Server Installation Guide. The SAP HANA database client will be installed together with the server by default.
6.2 Checking if the SAP hostagent is installed on all cluster nodes #
Check if the native systemd
-enabled SAP hostagent and instance sapstartsrv
are installed on all cluster nodes. If not, install and enable them now.
As Linux user root, use the command systemctl
and systemd-cgls
to check
the SAP hostagent and instance services:
# systemctl list-unit-files | grep sap saphostagent.service enabled sapinit.service generated saprouter.service disabled saptune.service enabled
The mandatory saphostagent
service is enabled. This is the installation default.
Some more SAP related services might be enabled, for example the recommended saptune
.
# systemctl list-unit-files | grep SAP SAPHA1_10.service enabled
The instance service is indeed enabled, as required.
6.3 Verifying both databases are up and running #
# systemd-cgls -u SAP.slice Unit SAP.slice (/SAP.slice): ├─saphostagent.service │ ├─2630 /usr/sap/hostctrl/exe/saphostexec pf=/usr/sap/hostctrl/exe/host_profile -systemd │ ├─2671 /usr/sap/hostctrl/exe/sapstartsrv pf=/usr/sap/hostctrl/exe/host_profile -D │ └─3591 /usr/sap/hostctrl/exe/saposcol -l -w60 pf=/usr/sap/hostctrl/exe/host_profile └─SAPHA1_10.service ├─ 1257 hdbcompileserver ├─ 1274 hdbpreprocessor ├─ 1353 hdbindexserver -port 31003 ├─ 1356 hdbxsengine -port 31007 ├─ 2077 hdbwebdispatcher ├─ 2300 hdbrsutil --start --port 31003 --volume 3 --volumesuffix mnt00001/hdb00003.00003 --identifier 1644426276 ├─28462 /usr/sap/HA1/HDB10/exe/sapstartsrv pf=/usr/sap/HA1/SYS/profile/HA1_HDB10_suse01 ├─31314 sapstart pf=/usr/sap/HA1/SYS/profile/HA1_HDB10_suse01 ├─31372 /usr/sap/HA1/HDB10/suse01/trace/hdb.sapHA1_HDB10 -d -nw -f /usr/sap/HA1/HDB10/suse01/daemon.ini pf=/usr/sap/HA1/SYS/profile/HA1_HDB10_suse01 ├─31479 hdbnameserver └─32201 hdbrsutil --start --port 31001 --volume 1 --volumesuffix mnt00001/hdb00001 --identifier 1644426203
The SAP hostagent saphostagent.service
and the instance´s sapstartsrv
SAPHA1_10.service
are running in the SAP.slice
.
See also manual pages systemctl(8) and systemd-cgls(8) for details.
7 Setting up SAP HANA System Replication #
For more information read the section Setting Up System Replication of the SAP HANA Administration Guide.
Procedure
Back up the primary database.
Enable the primary database.
Register and start the secondary database.
Verify the system replication.
7.1 Backing up the primary database #
Back up the primary database as described in the SAP HANA Administration Guide, section SAP HANA Database Backup and Recovery. We provide an example with SQL commands. You need to adapt these backup commands to match your backup infrastructure.
As user <sid>adm enter the following command:
~> hdbsql -i 10 -u SYSTEM -d SYSTEMDB \ "BACKUP DATA FOR FULL SYSTEM USING FILE ('backup')"
You will get a command output similar to the following:
0 rows affected (overall time 15.352069 sec; server time 15.347745 sec)
Enter the following command as user <sid>adm:
~> hdbsql -i <instanceNumber> -u <dbuser> \ "BACKUP DATA USING FILE ('backup')"
Without a valid backup, you cannot bring SAP HANA into a system replication configuration.
7.2 Enabling the primary node #
As Linux user <sid>adm, enable the system replication at the primary node. You need to define a site name (like WDF). This site name must be unique for all SAP HANA databases which are connected via system replication. This means the secondary must have a different site name. The site names must not be changed later when the cluster has been activated.
Do not use strings like "primary" and "secondary" as site names.
Enable the primary using the -sr_enable
option.
suse01:~> hdbnsutil -sr_enable --name=WDF checking local nameserver: checking for active nameserver ... nameserver is running, proceeding ... configuring ini files ... successfully enabled system as primary site ... done.
Check the primary using the command hdbnsutil -sr_stateConfiguration
.
suse01:~> hdbnsutil -sr_stateConfiguration --sapcontrol=1 SAPCONTROL-OK: <begin> mode=primary site id=1 site name=WDF SAPCONTROL-OK: <end> done.
The mode has changed from “none” to “primary”. The site now has a site name and a site ID.
7.3 Registering the secondary node #
The SAP HANA database instance on the secondary side must be stopped
before the instance can be registered for the system replication. You
can use your preferred method to stop the instance (like HDB
or
sapcontrol
). After the database instance has been stopped
successfully, you can register the instance using hdbnsutil
. Again,
use the Linux user <sid>adm:
To stop the secondary, you can use the command line tool HDB.
suse02:~> HDB stop
Beginning with SAP HANA 2.0, the system replication is running encrypted. The key files need to be copied-over from the primary to the secondary site.
~> cd /usr/sap/<SID>/SYS/global/security/rsecssfs ~> rsync -va {,<node1-siteB>:}$PWD/data/SSFS_<SID>.DAT ~> rsync -va {,<node1-siteB>:}$PWD/key/SSFS_<SID>.KEY
The registration of the secondary is triggered by calling hdbnsutil -sr_register ….
... suse02:~> hdbnsutil -sr_register --name=ROT \ --remoteHost=suse01 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay adding site ... checking for inactive nameserver ... nameserver suse02:30001 not responding. collecting information ... updating local ini files ... done.
The remoteHost is the primary node in our case, the remoteInstance is the database instance number (here 10).
Now start the database instance again and verify the system replication status. On the secondary node, the mode should be one of "SYNC" or "SYNCMEM". "ASYNC" is not supported with automated cluster takeover. The mode depends on the replicationMode option defined during the registration of the secondary.
To start the new secondary, use the command line tool HDB. Then check the
SR configuration using hdbnsutil -sr_stateConfiguration
.
suse02:~> HDB start ... suse02:~> hdbnsutil -sr_stateConfiguration --sapcontrol=1 SAPCONTROL-OK: <begin> mode=sync site id=2 site name=ROT active primary site=1 primary masters=suse01 SAPCONTROL-OK: <end> done.
To view the replication state of the whole SAP HANA cluster, use the following command as <sid>adm user on the primary node:
The python script systemReplicationStatus.py provides details about the current system replication.
suse01:~> HDBSettings.sh systemReplicationStatus.py --sapcontrol=1 ... site/2/SITE_NAME=ROT site/2/SOURCE_SITE_ID=1 site/2/REPLICATION_MODE=SYNC site/2/REPLICATION_STATUS=ACTIVE overall_replication_status=ACTIVE site/1/REPLICATION_MODE=PRIMARY site/1/SITE_NAME=WDF local_site_id=1 ...
7.4 Manually testing the SAP HANA SR takeover #
Before you integrate your SAP HANA system replication into the HA cluster, it is mandatory to do a manual takeover. Testing without the cluster helps to make sure that basic operation (takeover and registration) is working as expected.
Stop SAP HANA on node 1.
Takeover SAP HANA to node 2.
Register node 1 as secondary.
Start SAP HANA on node 1.
Wait until sync state is active.
7.5 Optional: Manually re-establishing SAP HANA SR to original state #
Bring the systems back to the original state:
Stop SAP HANA on node 2.
Take over SAP HANA to node 1.
Register node 2 as secondary.
Start SAP HANA on node2.
Wait until sync state is active.
8 Setting up SAP HANA HA/DR providers #
This step is mandatory to inform the cluster immediately if the secondary gets out of sync. The hook is called by SAP HANA using the HA/DR provider interface in point-of-time when the secondary gets out of sync. This is typically the case when the first commit pending is released. The hook is called by SAP HANA again when the system replication is back. This HA/DR provider method is srConnectionChanged(), the related SUSE hook script is susHanaSR.py. The hook script susHanaSR.py is defacto mandatory.
Another hook is called by SAP HANA before an SR takeover is processed. This method can be used to block a manual takeover during normal cluster operation. This HA/DR provider method is preTakeover(), the related SUSE hook script is susTkOver.py.
A third hook is called by SAP HANA when a service status changes. This method can be used to speed up the takeover in case the indexserver process fails. This HA/DR provider method is srServiceStateChanged(), the related SUSE hook script is susChkSrv.py.
Procedure
Implement the python hook script susHanaSR.py on both sites.
Implement the python hook script susTkOver.py on both sites.
Implement the python hook script susChkSrv.py on both sites.
Configure the system replication operation mode.
Allow <sid>adm to access the cluster.
Start SAP HANA.
Test the hook integration.
This will implement three SAP HANA HA/DR provider hook scripts. The hook script susHanaSR.py does not need any configuration parameters. The configuration for susTkOver.py normally does not need to be adapted. The default for parameter sustkover_timeout is set to 30 seconds, which is good for most environments. The configuration shown for susChkSrv.py is a good starting point. Any tuning should be aligned with the SAP experts.
All hook scripts should be used directly from the SAPHanaSR
package.
If the scripts are moved or copied, regular SUSE package updates will not work.
SAP HANA must be stopped to change the global.ini and allow SAP HANA to integrate
the HA/DR hook scripts during start. Alternatively, SAPHanaSR-manageProvider
might be used for adapting the global.ini. See manual page SAPHanaSR-manageProvider(8)
for details.
8.1 Implementing susHanaSR hook for srConnectionChanged #
Use the hook from the SAPHanaSR-angi package /usr/share/SAPHanaSR-angi/susHanaSR.py. The hook must be configured on all SAP HANA cluster nodes. In global.ini, the section [ha_dr_provider_sushanasr] needs to be created. The section [trace] might be adapted. Refer to the manual page susHanaSR.py(7) for details on this HA/DR provider hook script, see also SAPHanaSR-manageProvider(8).
Stop SAP HANA either with HDB or using sapcontrol.
~> sapcontrol -nr <instanceNumber> -function StopSystem
Best is to use the SAP HANA tools for changing global.ini. Alternatively you may use
SAPHanaSR-manageProvider
, see manual page SAPHanaSR-manageProvider(8).
[ha_dr_provider_sushanasr] provider = susHanaSR path = /usr/share/SAPHanaSR-angi/ execution_order = 1 [trace] ha_dr_sushanasr = info
8.2 Implementing susTkOver hook for preTakeover #
Use the hook from the SAPHanaSR-angi package /usr/share/SAPHanaSR-angi/susTkOver.py. The hook must be configured on all SAP HANA cluster nodes. In global.ini, the section [ha_dr_provider_sustkover] needs to be created. The section [trace] might be adapted. Refer to the manual page susTkOver.py(7) for details on this HA/DR provider hook script, see also SAPHanaSR-manageProvider(8).
Stop SAP HANA either with HDB or using sapcontrol.
ha1adm@suse02:/usr/sap/HA1/HDB10> sapcontrol -nr <instanceNumber> -function StopSystem
Best is to use the SAP HANA tools for changing global.ini. Alternatively you may use
SAPHanaSR-manageProvider
, see manual page SAPHanaSR-manageProvider(8).
[ha_dr_provider_sustkover] provider = susTkOver path = /usr/share/SAPHanaSR-angi/ execution_order = 2 [trace] ha_dr_sustkover = info ...
8.3 Implementing susChkSrv hook for srServiceStateChanged #
Use the hook from the SAPHanaSR-angi package /usr/share/SAPHanaSR-angi/susChkSrv.py. The hook must be configured on all SAP HANA cluster nodes. In global.ini, the section [ha_dr_provider_suschksrv] needs to be created. The section [trace] might be adapted. Refer to the manual page susChkSrv.py(7) for details on this HA/DR provider hook script, see also SAPHanaSR-manageProvider(8).
Stop SAP HANA either with HDB or using sapcontrol.
ha1adm@suse02:/usr/sap/HA1/HDB10> sapcontrol -nr <instanceNumber> -function StopSystem
Best is to use the SAP HANA tools for changing global.ini. Alternatively you may use
SAPHanaSR-manageProvider
, see manual page SAPHanaSR-manageProvider(8).
[ha_dr_provider_suschksrv] provider = susChkSrv path = /usr/share/SAPHanaSR-angi/ execution_order = 3 action_on_lost=stop [trace] ha_dr_suschksrv = info ...
8.4 Configuring system replication operation mode #
When your system is connected as SAP HANA system replication target, you can find an entry in the global.ini which defines the operation mode. Up to now there are the following modes available:
delta_datashipping
logreplay
logreplay_readaccess
Until a takeover and re-registration in the opposite direction, the entry for the operation mode is missing on your primary site. The first operation mode which was available was delta_datashipping. Today the preferred modes for HA are logreplay or logreplay_readaccess. Using the operation mode logreplay makes your secondary site in the SAP HANA system replication a hot standby system. For more details regarding all operation modes, check the available SAP documentation such as the guide "How To Perform System Replication for SAP HANA ".
Check both global.ini files and add the operation mode if needed. Check the section system_replication for entry ´operation_mode = logreplay´.
Path for the global.ini: /hana/shared/<SID>/global/hdb/custom/config/
[system_replication] operation_mode = logreplay
8.5 Allowing <sid>adm to access the cluster #
The current version of the susHanaSR python hook uses the command sudo
to allow
the <sid>adm user to access the cluster attributes.
The user <sid>adm must be able to set the cluster attributes hana_<sid>_site_srHook_*. The SAP HANA system replication hook needs password free access. The following example limits the sudo access to exactly setting the needed attribute. The entries can be added to a new file /etc/sudoers.d/SAPHanaSR so that the original /etc/sudoers file does not need to be edited. See manual page sudoers(5) for details.
Replace the <sid> by the lowercase SAP system ID (like ha1
).
Entry in sudo permissions /etc/sudoers.d/SAPHanaSR file
Basic sudoers entry to allow <sid>adm to use the hooks SAPHanaSR and susTkOver.
# SAPHanaSR-ScaleUp entries for writing srHook cluster attribute and SAPHanaSR-hookHelper <sid>adm ALL=(ALL) NOPASSWD: /usr/sbin/crm_attribute -n hana_<sid>_* <sid>adm ALL=(ALL) NOPASSWD: /usr/bin/SAPHanaSR-hookHelper --sid=<SID> *
More specific sudoers entries to meet a high security level
All Cmnd_Alias entries must be each defined as a single line entry. In our example, we have five separate lines with Cmnd_Alias entries and one line for the <sid>adm user permitting the Cmnd_Aliases. In the document at hand, however, the separate lines of the example might include a line-break forced by document formatting. The alias identifier (for example SOK_SITEA) needs to be in capitals.
Replace the <sid> by the lowercase SAP system ID (like ha1
).
Replace the <SID> by the uppercase SAP system ID.
# SAPHanaSR-ScaleUp entries for writing srHook cluster attribute Cmnd_Alias SOK_SITEA = /usr/sbin/crm_attribute -n hana_<sid>_site_srHook_<siteA> -v SOK -t crm_config -s SAPHanaSR Cmnd_Alias SFAIL_SITEA = /usr/sbin/crm_attribute -n hana_<sid>_site_srHook_<siteA> -v SFAIL -t crm_config -s SAPHanaSR Cmnd_Alias SOK_SITEB = /usr/sbin/crm_attribute -n hana_<sid>_site_srHook_<siteB> -v SOK -t crm_config -s SAPHanaSR Cmnd_Alias SFAIL_SITEB = /usr/sbin/crm_attribute -n hana_<sid>_site_srHook_<siteB> -v SFAIL -t crm_config -s SAPHanaSR Cmnd_Alias HOOK_HELPER = /usr/bin/SAPHanaSR-hookHelper --sid=<SID> --case=checkTakeover <sid>adm ALL=(ALL) NOPASSWD: SOK_SITEA, SFAIL_SITEA, SOK_SITEB, SFAIL_SITEB, HOOK_HELPER
8.6 Starting SAP HANA #
Start SAP HANA as user <sid>adm.
~> HDB start
8.7 Testing the hook integration #
8.7.1 Check the load of the hook scripts #
As user <sid>adm check the SAP HANA tracefiles, if the HA/DR provider scripts are loaded and called successfully during an SAP HANA event.
Check if script susHanaSR.py is loaded and initialized correctly:
~> cdtrace ~> grep HADR.*load.*susHanaSR nameserver_*.trc ~> grep susHanaSR.init nameserver_*.trc
Check if script susTkOver.py is loaded and initialized correctly:
~> cdtrace ~> grep HADR.*load.*susTkOver nameserver_*.trc ~> grep susTkOver.init nameserver_*.trc
Check if script susChkSrv.py is loaded and initialized correctly:
~> cdtrace ~> grep HADR.*load.*susChkSrv nameserver_*.trc ~> grep susChkSrv.init nameserver_*.trc ~> egrep '(LOST:|STOP:|START:|DOWN:|init|load|fail)' nameserver_suschksrv.trc
8.7.2 Check an srConnectionChanged event #
After an event has been processed by the HA/DR provider script, check for the correct behaviour.
As user <sid>adm check the SAP HANA tracefiles and verify if susHanaSR.py did successfully interact with the cluster or created a fallback file.
~> cdtrace ~> grep susHanaSR.srConnection.*CRM nameserver_*.trc ~> grep susHanaSR.srConnection.*fallback nameserver_*.trc
8.7.3 Check a preTakeover event #
After an event has been processed by the HA/DR provider script, check for the correct behaviour.
To test script susTkOver.py with stopped cluster, procedure Section 7.4, “Manually testing the SAP HANA SR takeover” can be used here again. While the cluster is not set up at this moment the takeover will not be blocked.
As user root check the system messages and verify if the sudo permissions for susTkOver.py calling SAPHanaSR-hookHelper are set successfully.
# grep "sudo.*SAPHanaSR-hookHelper" /var/log/messages
As user <sid>adm check the SAP HANA tracefiles, to verify if susTkOver.py did successfully block or permit the takeover request. First check for permitted takeover requests, then check for blocked takeover requests.
~> cdtrace ~> grep susTkOver.preTakeover.*permit nameserver_*.trc ~> grep susTkOver.preTakeover.*failed.*50277 nameserver_*.trc
9 Configuring the cluster #
This chapter describes the configuration of the cluster software SUSE Linux Enterprise High Availability, which is part of SUSE Linux Enterprise Server for SAP Applications, and the SAP HANA database integration.
Basic cluster configuration
Configuration of cluster properties and resources
Testing the HA/DR provider hook integration
9.1 Configuring the basic cluster #
The first step is to set up the basic cluster framework. For convenience, use YaST or the ha-cluster-init script. It is strongly recommended to add a second corosync ring, change it to UCAST communication and adjust the timeout values to fit your environment.
9.1.1 Setting up watchdog for "storage-based fencing" #
If you use the storage-based fencing (SBD) mechanism (diskless or disk-based), you must also configure a watchdog. The watchdog is needed to reset a node if the system cannot longer access the SBD (diskless or disk-based). It is mandatory to configure the Linux system for loading a watchdog driver. It is strongly recommended to use a watchdog with hardware assistance (as is available on most modern systems), such as hpwdt, iTCO_wdt, or others. As fallback, you can use the softdog module.
Access to the watchdog timer: No other software must access the watchdog timer; it can only be accessed by one process at any time. Some hardware vendors ship systems management software that use the watchdog for system resets (for example HP ASR daemon). Such software must be disabled if the watchdog is to be used by SBD.
Determine the right watchdog module. Alternatively, you can find a list of installed drivers with your kernel version.
# ls -l /lib/modules/$(uname -r)/kernel/drivers/watchdog
Check if any watchdog module is already loaded.
# lsmod | egrep "(wd|dog|i6|iT|ibm)"
If you get a result, the system has already a loaded watchdog. If the watchdog does not match your watchdog device, you need to unload the module.
To safely unload the module, check first if an application is using the watchdog device.
# lsof /dev/watchdog # rmmod <wrong_module>
Enable your watchdog module and make it persistent. For the example below, softdog has been used. However, softdog has some restrictions and should not be used as first option.
# echo softdog > /etc/modules-load.d/watchdog.conf # systemctl restart systemd-modules-load
Check if the watchdog module is loaded correctly.
# lsmod | grep dog # ls -l /dev/watchdog
Testing the watchdog can be done with a simple action. Ensure to switch of your SAP HANA first because the watchdog will force an unclean reset or shutdown of your system.
In case a hardware watchdog is used, a desired action is predefined after the timeout of the watchdog has reached. If your watchdog module is loaded and not controlled by any other application, do the following:
Triggering the watchdog without continuously updating the watchdog resets/switches off the system. This is the intended mechanism. The following commands will force your system to be reset/switched off.
In case the softdog module is used, the following action can be performed:
# sync; cat /dev/watchdog & while date; do sleep 10; done
After your test was successful, you must implement the watchdog on all cluster members.
9.1.2 Setting up the initial cluster using ha-cluster-init
#
For more detailed information about setting up a cluster, refer to the sections Setting Up the First Node and Adding the Second Node of the Installation and Setup Quick Start for SUSE Linux Enterprise High Availability 15 SP6 at https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-installation/.
This setup uses unicast (UCAST) for corosync communication (-u option). Refer to the https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-administration/ on detailed explanations of the terms unicast/multicast.
Create an initial setup, using the ha-cluster-init
command, and follow the
dialogs. Do this only on the first cluster node. Answer "no" to "Do you wish to
configure a virtual IP address" and to "Do you want to configure QDevice".
To use two corosync rings make sure you have two interfaces configured and run:
suse01:~ # ha-cluster-init -u -M -s /dev/disk/by-id/SBDA -s /dev/disk/by-id/SBDB
To use only one corosync ring leave out the -M option (not recommended):
suse01:~ # ha-cluster-init -u -s /dev/disk/by-id/SBDA -s /dev/disk/by-id/SBDB
This command configures the basic cluster framework including:
SSH keys
csync2 to transfer configuration files
SBD (two in this guide, better three for production)
corosync (at least one ring, better two rings)
HAWK Web interface
As requested by ha-cluster-init
, change the password of the user hacluster.
9.1.3 Checking and adapting the corosync and SBD configuration #
9.1.3.1 Checking the corosync configuration #
Check the following blocks in the file /etc/corosync/corosync.conf. The important parts are udpu and the correct ring/IP configuration.
See also the example at the end of this document and refer to the manual pages corosync.conf(5), votequorum(5) and corosync_overview(8) for details on parameters and features.
totem { ... interface { ringnumber: 0 mcastport: 5405 ttl: 1 } interface { ringnumber: 1 mcastport: 5407 ttl: 1 } rrp_mode: passive transport: udpu ... } ... nodelist { node { ring0_addr: 192.168.1.11 ring1_addr: 192.168.2.11 nodeid: 1 } node { ring0_addr: 192.168.1.12 ring1_addr: 192.168.2.12 nodeid: 2 } } ...
9.1.3.2 Adapting the SBD configuration #
You can skip this section if you do not have any SBD devices, but be sure to implement another supported fencing mechanism.
See the manual pages sbd(8) and stonith_sbd(7) for details.
Parameter | Description |
---|---|
SBD_WATCHDOG_DEV | Define the watchdog device. It is mandatory to use a watchdog. SBD does not work reliable without watchdog. Refer to the SLES manual and SUSE TID 7016880 for setting up a watchdog. |
SBD_WATCHDOG_TIMEOUT | This parameter is used with diskless SBD. It defines the timeout, in seconds, the watchdog will wait before panicking the node if noone tickles it. If you set CIB parameter stonith-watchdog-timeout to a negative value, Pacemaker will automatically calculate this timeout and set it to twice the value of SBD_WATCHDOG_TIMEOUT starting with SUSE Linux Enterprise High Availability 15. |
SBD_STARTMODE | Start mode. If set to |
SBD_PACEMAKER | Check Pacemaker quorum and node health. |
In the following, replace /dev/disk/by-id/SBDA and /dev/disk/by-id/SBDB by your real sbd
device names. As an example, the SBD_WATCHDOG_TIMEOUT
is set to 20s to be less
aggressive than the formerly used 5s.
# egrep -v "(^#|^$)" /etc/sysconfig/sbd SBD_PACEMAKER=yes SBD_STARTMODE="clean" SBD_WATCHDOG_DEV="/dev/watchdog" SBD_WATCHDOG_TIMEOUT="20" SBD_TIMEOUT_ACTION="flush,reboot" SBD_MOVE_TO_ROOT_CGROUP="auto" SBD_OPTS="" SBD_DEVICE="/dev/disk/by-id/SBDA;/dev/disk/by-id/SBDB"
Also read the SUSE product documentation about calculation of timeouts for more details: https://documentation.suse.com/sle-ha/15-SP1/single-html/SLE-HA-guide/#sec-ha-storage-protect-watchdog-timings
9.1.3.3 Verifying the SBD device #
You can skip this section if you do not have any SBD devices, but make sure to implement a supported fencing mechanism.
It is a good practice to check if the SBD device can be accessed from both nodes
and does contain valid records. Check this for all devices configured in
/etc/sysconfig/sbd. You can do so, for example, by calling cs_show_sbd_devices
.
suse01:~ # sbd -d /dev/disk/by-id/SBDA -d /dev/disk/by-id/SBDB dump ==Dumping header on disk /dev/disk/by-id/SBDA Header version : 2.1 UUID : 0f4ea13e-fab8-4147-b9b2-3cdcfff07f86 Number of slots : 255 Sector size : 512 Timeout (watchdog) : 20 Timeout (allocate) : 2 Timeout (loop) : 1 Timeout (msgwait) : 40 ==Header on disk /dev/disk/by-id/SBDA is dumped ==Dumping header on disk /dev/disk/by-id/SBDB Header version : 2.1 UUID : 23c423df-675d-4937-a48c-5eb869fe0bb7 Number of slots : 255 Sector size : 512 Timeout (watchdog) : 20 Timeout (allocate) : 2 Timeout (loop) : 1 Timeout (msgwait) : 40 ==Header on disk /dev/disk/by-id/SBDB is dumped
The timeout values in our example are only start values. It is a requirement that they are tuned to your environment. Refer to the TIDs 7011346 and 7023689 for more information.
To check the current SBD entries for the various cluster nodes, you can
use sbd list
. If all entries are clear
, no fencing task is marked in
the SBD device.
suse01:~ # sbd -d /dev/disk/by-id/SBDA -d /dev/disk/by-id/SBDB list 0 suse01 clear 0 suse01 clear
For more information on SBD configuration parameters, consult the respective sections of the SUSE Linux Enterprise High Availability Administration Guide and the TIDs 7016880 and 7008216.
Now it is time to restart the cluster at the first node again (crm cluster start
).
9.1.4 Configuring the cluster on the second node #
The second node of the two nodes cluster can be integrated by starting the command
ha-cluster-join
. This command asks for the IP address or name of the first cluster
node. With this command, all needed configuration files are copied over. As a result,
the cluster is started on both nodes.
# ha-cluster-join -c <host1>
Press RETURN to acknowledge the IP address.
9.1.5 Checking the cluster for the first time #
Now it is time to check and optionally start the cluster for the first time on both nodes.
suse01:~ # systemctl status pacemaker suse01:~ # systemctl status sbd suse02:~ # systemctl status pacemaker suse02:~ # systemctl status sbd suse01:~ # crm cluster start suse02:~ # crm cluster start
Check the cluster status with crm_mon. We use the option "-r" to also see resources, which are configured but stopped.
# crm_mon -r1
The command will show the "empty" cluster and will print something similar to the screen output below. The most interesting pieces of information for now are that there are two nodes in the status "online", the message "partition with quorum", and a running SBD resource.
Cluster Summary: * Stack: corosync * Current DC: suse01 (version 2.0.5+20201202.ba59be712-150300.4.16.1-2.0.5+20201202.ba59be712) - partition with quorum * Last updated: Thu Jun 10 08:32:58 2022 * Last change: Thu Jun 10 08:29:41 2022 by hacluster via crmd on suse01 * 2 nodes configured * 1 resource instance configured Node List: * Online: [ suse01 suse02 ] Full List of Resources: * stonith-sbd (stonith:external/sbd): Started suse01
9.2 Configuring cluster properties and resources #
This section describes how to configure constraints, resources, bootstrap, and STONITH,
using the crm configure
shell command as described in part II Configuration and Administration
of the SUSE Linux Enterprise High Availability Administration Guide.
Use the command crm
to add the objects to the cluster information base (CIB). Copy the following
examples to a local file, edit the file and then load the configuration to the CIB:
suse01:~ # vi crm-fileXX suse01:~ # crm configure load update crm-fileXX
9.2.1 Cluster bootstrap and more #
The first example defines the cluster bootstrap options, the resource and operation defaults. The stonith-timeout should be greater than 1.2 times the SBD on-disk msgwait timeout. The priority-fencing-delay should be at least 2 times the SBD CIB pcmk_delay_max.
suse01:~ # vi crm-bs.txt # enter the following to crm-bs.txt property cib-bootstrap-options: \ stonith-enabled="true" \ stonith-action="reboot" \ stonith-timeout="150" \ priority-fencing-delay="30" rsc_defaults rsc-options: \ resource-stickiness="1000" \ migration-threshold="5000" op_defaults op-options: \ timeout="600" \ record-pending=true
Now add the configuration to the cluster.
suse01:~ # crm configure load update crm-bs.txt
9.2.2 STONITH device #
Skip this section if you are using diskless SBD.
The next configuration part defines an SBD disk STONITH resource.
# vi crm-sbd.txt # enter the following to crm-sbd.txt primitive stonith-sbd stonith:external/sbd \ params pcmk_delay_max="15"
Again we add the configuration to the cluster.
suse01:~ # crm configure load update crm-sbd.txt
For fencing with IPMI/ILO see section Section 9.2.3, “Using IPMI as fencing mechanism”.
9.2.3 Using IPMI as fencing mechanism #
For details about IPMI/ILO fencing see our cluster product documentation (https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-administration/). An example for an IPMI STONITH resource can be found in section Section 12.4.2, “Example for the IPMI STONITH method” of this document.
To use IPMI, the remote management boards must be compatible with the IPMI standard.
For the IPMI-based fencing, configure a primitive per-cluster node. Each resource is responsible to fence exactly one cluster node. Adapt the IP addresses and login user / password of the remote management boards to the STONITH resource agent. We recommend to create a special STONITH user instead of providing root access to the management board. Location rules must guarantee that a host should never run its own STONITH resource.
9.2.4 Using other fencing mechanisms #
This section is only relevant if the recommended disk-based or diskless SBD fencing is not used.
We recommend to use SBD (best practice) or IPMI (second choice) as STONITH mechanism. The SUSE Linux Enterprise High Availability product also supports additional fencing mechanism not covered here.
For further information about fencing, read the Administration Guide for SUSE Linux Enterprise High Availability at https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-administration/. For public cloud environments, refer to your cloud provider’s documentation on supported fencing mechanisms.
9.2.5 SAPHanaTopology #
This step is to define the resources needed, to analyze the SAP HANA topology for the replicated pair. Prepare the changes in a text file, for example crm-saphanatop.txt, and load it with the command:
crm configure load update crm-saphanatop.txt
# vi crm-saphanatop.txt # enter the following to crm-saphanatop.txt primitive rsc_SAPHanaTop_HA1_HDB10 ocf:suse:SAPHanaTopology \ op start interval=0 timeout=600 \ op stop interval=0 timeout=300 \ op monitor interval=50 timeout=600 \ params SID=HA1 InstanceNumber=10 clone cln_SAPHanaTop_HA1_HDB10 rsc_SAPHanaTop_HA1_HDB10 \ meta clone-node-max=1 interleave=true
Additional information about all parameters can be found in manual page ocf_suse_SAPHanaTopology(7).
Again, add the configuration to the cluster.
suse01:~ # crm configure load update crm-saphanatop.txt
The most important parameters here are SID and InstanceNumber, which are quite self explaining in the SAP context. Beside these parameters, typical tuneables are the timeout values or the operations (start, monitor, stop).
9.2.6 SAPHanaFilesystem #
This step is to define the resources to monitor the filesystem used by HANA, e.g. /hana/shared/<SID>. The RA just monitors the filesystem, but neither does mount nor umount it. Mounting and umounting is done by the OS thru /etc/fstab. Prepare the changes in a text file, for example crm-saphanafil.txt, and load it with the command:
crm configure load update crm-saphanafil.txt
# vi crm-saphanafil.txt # enter the following to crm-saphanafil.txt primitive rsc_SAPHanaFil_HA1_HDB10 ocf:suse:SAPHanaFilesystem \ op start interval=0 timeout=10 \ op stop interval=0 timeout=20 \ op monitor interval=120 timeout=120 \ params SID=HA1 InstanceNumber=10 ON_FAIL_ACTION="fence" clone cln_SAPHanaFil_HA1_HDB10 rsc_SAPHanaFil_HA1_HDB10 \ meta clone-node-max=1 interleave=true
Additional information about all parameters can be found in manual page ocf_suse_SAPHanaFilesystem(7).
Again, add the configuration to the cluster.
suse01:~ # crm configure load update crm-saphanafil.txt
The most important parameters here are SID and InstanceNumber, which are quite self explaining in the SAP context. ON_FAIL_ACTION defines how the RA should react on monitor failures. Beside these parameters, typical tuneables are the timeout values or the operations (start, monitor, stop).
9.2.7 SAPHanaController #
This step is to define the resource needed, to control the replicated SAP HANA pair. Edit the changes in a text file, for example crm-saphanacon.txt, and load it with the following command:
crm configure load update crm-saphanacon.txt
Parameter | Performance Optimized | Cost Optimized | Multi-Tier |
---|---|---|---|
PREFER_SITE_TAKEOVER | true | false | false / true |
AUTOMATED_REGISTER | false / true | false / true | false |
DUPLICATE_PRIMARY_TIMEOUT | 7200 | 7200 | 7200 |
Parameter | Description |
---|---|
PREFER_SITE_TAKEOVER | Defines whether RA should prefer to take over to the secondary instance instead of restarting the failed primary locally. |
AUTOMATED_REGISTER | Defines whether a former primary should be automatically registered to be secondary of the new primary. With this parameter you can adapt the level of system replication automation. If set to |
DUPLICATE_PRIMARY_TIMEOUT | Time difference needed between two primary time stamps if a dual-primary situation occurs. If the time difference is less than the time gap, the cluster holds one or both instances in a "WAITING" status. This is to give an administrator the chance to react on a failover. If the complete node of the former primary crashed, the former primary will be registered after the time difference is passed. If "only" the SAP HANA RDBMS has crashed, the former primary will be registered immediately. After this registration to the new primary, all data will be overwritten by the system replication. |
Additional information about all parameters of the SAPHanaController RA can be found in manual page ocf_suse_SAPHanaController(7).
# vi crm-saphanacon.txt # enter the following to crm-saphanacon.txt primitive rsc_SAPHanaCon_HA1_HDB10 ocf:suse:SAPHanaController \ op start interval=0 timeout=3600 \ op stop interval=0 timeout=3600 \ op promote interval=0 timeout=900 \ op demote interval=0 timeout=320 \ op monitor interval=60 role=Promoted timeout=700 \ op monitor interval=61 role=Unpromoted timeout=700 \ params SID=HA1 InstanceNumber=10 PREFER_SITE_TAKEOVER=true \ DUPLICATE_PRIMARY_TIMEOUT=7200 AUTOMATED_REGISTER=false \ meta priority=100 clone mst_SAPHanaCon_HA1_HDB10 rsc_SAPHanaCon_HA1_HDB10 \ meta clone-node-max=1 promotable=true interleave=true maintenance=true
Now add the configuration to the cluster.
suse01:~ # crm configure load update crm-saphanacon.txt
The most important parameters here are again SID and InstanceNumber. Beside these parameters the timeout values for the operations (start, promote, monitors, stop) are typical tuneables.
9.2.8 Adding a virtual IP address for the primary site #
The last resource to be added is covering the virtual IP address. For details, see manual page ocf_heartbeat_IPaddr2(7).
# vi crm-vip.txt # enter the following to crm-vip.txt primitive rsc_ip_HA1_HDB10 ocf:heartbeat:IPaddr2 \ op monitor interval=10 timeout=20 \ params ip=192.168.1.20
Load the file to the cluster.
suse01:~ # crm configure load update crm-vip.txt
In most on-premise installations, only the parameter ip needs to be set to the virtual IP address to be presented to the client systems. Public cloud environments often need specific settings.
9.2.9 Constraints for SAPHanaSR-angi #
Two constraints are organizing the correct placement of the virtual IP address for the client database access and the start order between the resource agents SAPHanaController and SAPHanaTopology.
# vi crm-cs.txt # enter the following to crm-cs.txt colocation col_saphana_ip_HA1_HDB10 2000: rsc_ip_HA1_HDB10:Started \ mst_saphana_HA1_HDB10:Promoted order ord_saphana_HA1_HDB10 Optional: cln_SAPHanaTop_HA1_HDB10 \ mst_SAPHanaCon_HA1_HDB10
Load the file to the cluster.
suse01:~ # crm configure load update crm-cs.txt
9.2.10 Activating multi-state resource for cluster operation #
The multi state resource was added to the cluster with in maintenance mode. To get the resource operated by the cluster the maintenance must be ended by the command:
# crm resource refresh mst_SAPHanaCon_HA1_HDB10 # cs_wait_for_idle -s 5 # crm resource maintenance mst_SAPHanaCon_HA1_HDB10 off
The command cs_wait_for_idle
is part of the package ClusterTools2
.
For more details, see manual pages cs_wait_for_idle(8), crm(8),
SAPHanaSR_maintenance_examples(7).
9.2.11 Active/active read-enabled scenario #
This step is optional. If you have an active/active SAP HANA system replication with a read-enabled secondary, it is possible to integrate the needed second virtual IP address into the cluster. This is been done by adding a second virtual IP address resource and a location constraint binding the address to the secondary site.
# vi crm-re.txt # enter the following to crm-re.txt primitive rsc_ip_HA1_HDB10_readenabled ocf:heartbeat:IPaddr2 \ op monitor interval=10 timeout=20 \ params ip=192.168.1.21 colocation col_saphana_ip_HA1_HDB10_readenabled 2000: \ rsc_ip_HA1_HDB10_readenabled:Started mst_SAPHanaCon_HA1_HDB10:Unpromoted
10 Testing the cluster #
The lists of tests will be further enhanced in one of the next updates of this document.
As with any cluster testing is crucial. Make sure that all test cases derived from customer expectations are implemented and passed fully. Otherwise the project is likely to fail in production.
The test prerequisite, if not described differently, is always that both nodes are booted, normal members of the cluster and the HANA RDBMS is running. The system replication is in sync (SOK).
10.1 Test cases for semi-automation #
In the following test descriptions we assume
PREFER_SITE_TAKEOVER="true"
and AUTOMATED_REGISTER="false".
The following tests are designed to be run in sequence and depend on the exit state of the preceding tests.
10.1.1 Test: Stop primary database on site A (node 1) #
Primary Database
The primary SAP HANA database is stopped during normal cluster operation.
Stop the primary SAP HANA database gracefully as <sid>adm.
suse01:~> HDB stop
Manually register the old primary (on node 1) with the new primary after takeover (on node 2) as <sid>adm.
suse01:~> hdbnsutil -sr_register --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=WDF
Restart the SAP HANA database (now secondary) on node 1 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse01
The cluster detects the stopped primary SAP HANA database (on node 1) and marks the resource failed.
The cluster promotes the secondary SAP HANA database (on node 2) to take over as primary.
The cluster migrates the IP address to the new primary (on node 2).
After some time the cluster shows the sync_state of the stopped primary (on node 1) as SFAIL.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.2 Test: Stop primary database on site B (node 2) #
- Component:
Primary Database
- Description:
The primary SAP HANA database is stopped during normal cluster operation.
Stop the database gracefully as <sid>adm.
suse02:~> HDB stop
Manually register the old primary (on node 2) with the new primary after takeover (on node 1) as <sid>adm.
suse02:~> hdbnsutil -sr_register --remoteHost=suse01 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=ROT
Restart the SAP HANA database (now secondary) on node 2 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the stopped primary SAP HANA database (on node 2) and marks the resource failed.
The cluster promotes the secondary SAP HANA database (on node 1) to take over as primary.
The cluster migrates the IP address to the new primary (on node 1).
After some time the cluster shows the sync_state of the stopped primary (on node 2) as SFAIL.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.3 Test: Crash primary database on site A (node 1) #
- Component:
Primary Database
- Description:
Simulate a complete break-down of the primary database system.
Kill the primary database system using signals as <sid>adm.
suse01:~> HDB kill-9
Manually register the old primary (on node 1) with the new primary after takeover (on node 2) as <sid>adm.
suse01:~> hdbnsutil -sr_register --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=WDF
Restart the SAP HANA database (now secondary) on node 1 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse01
The cluster detects the stopped primary SAP HANA database (on node 1) and marks the resource failed.
The cluster promotes the secondary SAP HANA database (on node 2) to take over as primary.
The cluster migrates the IP address to the new primary (on node 2).
After some time the cluster shows the sync_state of the stopped primary (on node 1) as SFAIL.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.4 Test: Crash primary database on site B (node 2) #
- Component:
Primary Database
- Description:
Simulate a complete break-down of the primary database system.
Kill the primary database system using signals as <sid>adm.
suse02:~> HDB kill-9
Manually register the old primary (on node 2) with the new primary after takeover (on node 1) as <sid>adm.
suse02:~> hdbnsutil -sr_register --remoteHost=suse01 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=ROT
Restart the SAP HANA database (now secondary) on node 2 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the stopped primary SAP HANA database (on node 2) and marks the resource failed.
The cluster promotes the secondary SAP HANA database (on node 1) to take over as primary.
The cluster migrates the IP address to the new primary (on node 1).
After some time the cluster shows the sync_state of the stopped primary (on node 2) as SFAIL.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.5 Test: Crash primary node on site A (node 1) #
- Component:
Cluster node of primary site
- Description:
Simulate a crash of the primary site node running the primary SAP HANA database.
Crash the primary node by sending a 'fast-reboot' system request.
suse01:~ # sync; echo b > /proc/sysrq-trigger
If SBD fencing is used, pacemaker will not automatically restart after being fenced. In this case clear the fencing flag on all SBD devices and subsequently start pacemaker.
suse01:~ # sbd -d /dev/disk/by-id/SBDA message suse01 clear suse01:~ # sbd -d /dev/disk/by-id/SBDB message suse01 clear ...
Start the cluster framework
suse01:~ # crm cluster start
Manually register the old primary (on node 1) with the new primary after takeover (on node 2) as <sid>adm.
suse01:~> hdbnsutil -sr_register --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=WDF
Restart the SAP HANA database (now secondary) on node 1 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse01
The cluster detects the failed node (node 1) and declares it UNCLEAN and sets the secondary node (node 2) to status "partition with quorum".
The cluster fences the failed node (node 1).
The cluster declares the failed node (node 1) OFFLINE.
The cluster promotes the secondary SAP HANA database (on node 2) to take over as primary.
The cluster migrates the IP address to the new primary (on node 2).
After some time the cluster shows the sync_state of the stopped primary (on node 2) as SFAIL.
If SBD fencing is used, then the manual recovery procedure will be used to clear the fencing flag and restart pacemaker on the node.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.6 Test: Crash primary node on site B (node 2) #
- Component:
Cluster node of secondary site
- Description:
Simulate a crash of the secondary site node running the primary SAP HANA database.
Crash the secondary node by sending a 'fast-reboot' system request.
suse02:~ # sync; echo b > /proc/sysrq-trigger
If SBD fencing is used, pacemaker will not automatically restart after being fenced. In this case clear the fencing flag on all SBD devices and subsequently start pacemaker.
suse02:~ # sbd -d /dev/disk/by-id/SBDA message suse02 clear suse02:~ # sbd -d /dev/disk/by-id/SBDB message suse02 clear ...
Start the cluster Framework
suse02:~ # crm cluster start
Manually register the old primary (on node 2) with the new primary after takeover (on node 1) as <sid>adm.
suse02:~> hdbnsutil -sr_register --remoteHost=suse01 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=ROT
Restart the SAP HANA database (now secondary) on node 2 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the failed secondary node (node 2) and declares it UNCLEAN and sets the primary node (node 1) to status "partition with quorum".
The cluster fences the failed secondary node (node 2).
The cluster declares the failed secondary node (node 2) OFFLINE.
The cluster promotes the secondary SAP HANA database (on node 1) to take over as primary.
The cluster migrates the IP address to the new primary (on node 1).
After some time the cluster shows the sync_state of the stopped secondary (on node 2) as SFAIL.
If SBD fencing is used, then the manual recovery procedure will be used to clear the fencing flag and restart pacemaker on the node.
Because AUTOMATED_REGISTER="false" the cluster does not restart the failed SAP HANA database or register it against the new primary.
After the manual register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.7 Test: Stop the secondary database on site B (node 2) #
- Component:
Secondary SAP HANA database
- Description:
The secondary SAP HANA database is stopped during normal cluster operation.
Stop the secondary SAP HANA database gracefully as <sid>adm.
suse02:~> HDB stop
Refresh the failed resource status of the secondary SAP HANA database (on node 2) as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the stopped secondary database (on node 2) and marks the resource failed.
The cluster detects the broken system replication and marks it as failed (SFAIL).
The cluster restarts the secondary SAP HANA database on the same node (node 2).
The cluster detects that the system replication is in sync again and marks it as ok (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.8 Test: Crash the secondary database on site B (node 2) #
- Component:
Secondary SAP HANA database
- Description:
Simulate a complete break-down of the secondary database system.
Kill the secondary database system using signals as <sid>adm.
suse02:~> HDB kill-9
Clean up the failed resource status of the secondary SAP HANA database (on node 2) as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the stopped secondary database (on node 2) and marks the resource failed.
The cluster detects the broken system replication and marks it as failed (SFAIL).
The cluster restarts the secondary SAP HANA database on the same node (node 2).
The cluster detects that the system replication is in sync again and marks it as ok (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.1.9 Test: Crash the secondary node on site B (node2) #
- Component:
Cluster node of secondary site
- Description:
Simulate a crash of the secondary site node running the secondary SAP HANA database.
Crash the secondary node by sending a 'fast-reboot' system request.
suse02:~ # sync; echo b > /proc/sysrq-trigger
If SBD fencing is used, pacemaker will not automatically restart after being fenced. In this case clear the fencing flag on all SBD devices and subsequently start pacemaker.
suse02:~ # sbd -d /dev/disk/by-id/SBDA message suse02 clear suse02:~ # sbd -d /dev/disk/by-id/SBDB message suse02 clear ...
Start the cluster framework.
suse02:~ # crm cluster start
The cluster detects the failed secondary node (node 2) and declares it UNCLEAN and sets the primary node (node 1) to status "partition with quorum".
The cluster fences the failed secondary node (node 2).
The cluster declares the failed secondary node (node 2) OFFLINE.
After some time the cluster shows the sync_state of the stopped secondary (on node 2) as SFAIL.
If SBD fencing is used, then the manual recovery procedure will be used to clear the fencing flag and restart pacemaker on the node.
When the fenced node (node 2) rejoins the cluster the former secondary SAP HANA database is started automatically.
The cluster detects that the system replication is in sync again and marks it as ok (SOK).
10.1.10 Test: Failure of replication LAN #
- Component:
Replication LAN
- Description:
Loss of replication LAN connectivity between the primary and secondary node.
Break the connection between the cluster nodes on the replication LAN.
Re-establish the connection between the cluster nodes on the replication LAN.
After some time the cluster shows the sync_state of the secondary (on node 2) as SFAIL.
The primary SAP HANA database (node 1) "HDBSettings.sh systemReplicationStatus.py" shows "CONNECTION TIMEOUT" and the secondary SAP HANA database (node 2) is not able to reach the primary database (node 1).
The primary SAP HANA database continues to operate as “normal”, but no system replication takes place and is therefore no longer a valid take over destination.
When the LAN connection is re-established, HDB automatically detects connectivity between the SAP HANA databases and restarts the system replication process
The cluster detects that the system replication is in sync again and marks it as ok (SOK).
10.2 Test cases for full automation #
In the following test descriptions we assume PREFER_SITE_TAKEOVER="true" and AUTOMATED_REGISTER="true".
The following tests are designed to be run in sequence and depend on the exit state of the preceding tests.
10.2.1 Test: Stop the primary database on site A #
Primary Database
The primary SAP HANA database is stopped during normal cluster operation.
Stop the primary SAP HANA database gracefully as <sid>adm.
suse01:~> HDB stop
Not needed, everything is automated
Refresh the cluster resources on node 1 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse01
The cluster detects the stopped primary SAP HANA database (on node 1) and marks the resource failed.
The cluster promotes the secondary SAP HANA database (on node 2) to take over as primary.
The cluster migrates the IP address to the new primary (on node 2).
After some time the cluster shows the sync_state of the stopped primary (on node 1) as SFAIL.
Because AUTOMATED_REGISTER="true" the cluster does restart the failed SAP HANA database and register it against the new primary.
After the automated register and resource refresh the system replication pair is marked as in sync (SOK).
The cluster "failed actions" are cleaned up after following the recovery procedure.
10.2.2 Test: Crash the primary node on site B (node 2) #
Cluster node of site B
Simulate a crash of the site B node running the primary SAP HANA database.
Crash the secondary node by sending a 'fast-reboot' system request.
suse02:~ # sync; echo b > /proc/sysrq-trigger
If SBD fencing is used, pacemaker will not automatically restart after being fenced. In this case clear the fencing flag on all SBD devices and subsequently start pacemaker.
suse02:~ # sbd -d /dev/disk/by-id/SBDA message suse02 clear suse02:~ # sbd -d /dev/disk/by-id/SBDB message suse02 clear ...
Start the cluster framework.
suse02:~ # crm cluster start
Refresh the cluster resources on node 2 as root.
# crm resource refresh rsc_SAPHanaCon_HA1_HDB10 suse02
The cluster detects the failed primary node (node 2) and declares it UNCLEAN and sets the primary node (node 2) to status "partition with quorum".
The cluster fences the failed primary node (node 2).
The cluster declares the failed primary node (node 2) OFFLINE.
The cluster promotes the secondary SAP HANA database (on node 1) to take over as primary.
The cluster migrates the IP address to the new primary (on node 1).
After some time the cluster shows the sync_state of the stopped secondary (on node 2) as SFAIL.
If SBD fencing is used, then the manual recovery procedure will be used to clear the fencing flag and restart pacemaker on the node.
When the fenced node (node 2) rejoins the cluster the former primary became a secondary.
Because AUTOMATED_REGISTER="true" the cluster does restart the failed SAP HANA database and register it against the new primary.
The cluster detects that the system replication is in sync again and marks it as ok (SOK).
11 Administration #
11.1 Dos and don’ts #
In your project, you should:
Define STONITH before adding other resources to the cluster.
Do intensive testing.
Tune the timeouts of operations of SAPHana and SAPHanaTopology.
Start with the parameter values PREFER_SITE_TAKEOVER=”true”, AUTOMATED_REGISTER=”false” and DUPLICATE_PRIMARY_TIMEOUT=”7200”.
Always wait for pending cluster actions to finish before doing something.
Set up a test cluster for testing configuration changes and administrative procedure before applying them on the production cluster.
In your project, avoid:
Rapidly changing/changing back a cluster configuration, such as setting nodes to standby and online again or stopping/starting the multi-state resource.
Creating a cluster without proper time synchronization or unstable name resolutions for hosts, users and groups.
Using site names other than the ones already known by the cluster when manually re-registering a site.
Adding location rules for the clone, multi-state or IP resource. Only location rules mentioned in this setup guide are allowed. For public cloud refer to the cloud specific documentation.
Using SAP tools for attempting start/stop/takeover actions on a database while the cluster is in charge of managing that database. Same for unregistering/disabling system replication.
As "migrating" or "moving" resources in crm-shell, HAWK or other tools would add client-prefer location rules, support is limited to maintenance procedures described in this document. See Section 10, “Testing the cluster” and Section 11.3, “Maintenance” for proven procedures.
11.2 Monitoring and tools #
You can use the High Availability Web Console (HAWK), SAP HANA Cockpit, SAP HANA Studio and different command line tools for cluster status requests.
11.2.1 HAWK – cluster status and more #
You can use a Web browser to check the cluster status.
If you set up the cluster using ha-cluster-init and you have installed all packages as described above, your system will provide a very useful Web interface. You can use this graphical Web interface to get an overview of the complete cluster status, perform administrative tasks or configure resources and cluster bootstrap parameters. Read the product manuals for a complete documentation of this user interface. For the SAP HANA system replication performance optimized scenario the use of HAWK should follow the guidance given in this guide.
11.2.2 SAP HANA Cockpit #
Database-specific administration and checks can be done with SAP HANA Cockpit. Before trying start/stop/takeover for the database, make sure the cluster is not in charge of managing the respective resource. See also Section 11.3, “Maintenance”.
11.2.3 Cluster command line tools #
A simple overview can be obtained by calling crm_mon
. Using option
-r
shows also stopped but already configured resources. Option -1
tells crm_mon
to output the status once instead of periodically.
# crm_mon -1r Stack: corosync Current DC: suse01 (version 2.0.1+20190417.13d370ca9-3.6.1-2.0.1+20190417.13d370ca9) - partition with quorum Last updated: Thu Feb 6 12:20:03 2024 Last change: Thu Feb 6 12:19:43 2024 by root via crm_attribute on suse01 2 nodes configured 6 resources configured Online: [ suse01 suse02 ] Full list of resources: stonith-sbd (stonith:external/sbd): Started suse01 Clone Set: cln_SAPHanaTop_HA1_HDB10 [rsc_SAPHanaTop_HA1_HDB10] Started: [ suse01 suse02 ] Clone Set: cln_SAPHanaFil_HA1_HDB10 [rsc_SAPHanaFil_HA1_HDB10] Started: [ suse01 suse02 ] Clone Set: mst_SAPHanaCon_HA1_HDB10 [rsc_SAPHanaCon_HA1_HDB10] (promotable) Masters: [ suse01 ] Slaves: [ suse02 ] rsc_ip_HA1_HDB10 (ocf::heartbeat:IPaddr2): Started suse01
See the manual page crm_mon(8) for details.
11.2.4 SAPHanaSR command line tools #
To show SAPHanaController and SAPHanaTopology resource agent internal values,
you can call the program SAPHanaSR-showAttr
. The internal values, the attribute
location and their parameter names may change. The command SAPHanaSR-showAttr
will always fetch the values from the correct attribute location.
Do not use cluster commands like crm_attribute
to fetch the values
directly from the cluster. SAPHanaSR-showAttr should not be used for automated
system monitoring.
suse01:~ # SAPHanaSR-showAttr Global cib-time prim sec sid topology ------------------------------------------------------ global Mon May 08 09:10:11 2023 WDF JWD HA1 ScaleUp Resource maintenance ---------------------------------- mst_SAPHana_HA1_HDB10 false Sites lpt lss mns opMode srHook srMode srPoll srr --------------------------------------------------------------- ROT 30 4 suse02 logreplay SOK sync SOK S WDF 1683529811 4 suse01 logreplay PRIM sync PRIM P Hosts clone_state roles score site srah ---------------------------------------------------------------- suse01 PROMOTED master1:master:worker:master 150 WDF - suse02 DEMOTED master1:master:worker:master 100 ROT -
SAPHanaSR-showAttr
also supports other output formats such as script. The script
format is intended to allow running filters. Based on SAPHanaSR-showAttr
output
format script you can define effective queries:
suse01:~ # SAPHanaSR-showAttr --format=script | grep "/remoteHost=" Thu Feb 6 12:28:10 2020; Hosts/suse01/remoteHost=suse02 Thu Feb 6 12:28:10 2020; Hosts/suse02/remoteHost=suse01
SAPHanaSR-replay-archive
can help to analyze the SAPHanaSR attribute values from
crm_report
archives. This allows post mortem analysis.
In our example, the administrator killed the primary SAP HANA instance using the command
HDB kill-9
. This happened around 9:10 pm.
suse01:~ # hb_report -f 19:00 INFO: suse01# The report is saved in ./hb_report-1-11-11-2019.tar.bz2 INFO: suse01# Report timespan: 11/11/19 19:00:00 - 11/11/19 21:05:33 INFO: suse01# Thank you for taking time to create this report. suse01:~ # SAPHanaSR-replay-archive --format=script \ ./hb_report-1-11-11-2019.tar.bz2 | grep "/roles=" Mon Nov 11 20:38:01 2019; Hosts/suse01/roles=master1:master:worker:master Mon Nov 11 20:38:01 2019; Hosts/suse02/roles=master1:master:worker:master Mon Nov 11 21:11:37 2019; Hosts/suse01/roles=master1::worker: Mon Nov 11 21:12:43 2019; Hosts/suse02/roles=master1:master:worker:master
In the above example the attributes indicate that at the beginning suse01 was running primary (4:P) and suse02 was running secondary (4:S).
At 21:11 (CET) suddenly the primary on suse01 died - it was falling down to 1:P.
The cluster did jump-in and initiated a takeover. At 21:12 (CET) the former secondary was detected as new running master (changing from 4:S to 4:P).
11.2.5 SAP HANA LandscapeHostConfiguration #
To check the status of an HANA database and to find out if the cluster should react, you can use the script landscapeHostConfiguration.py to be called as Linux user <sid>adm.
suse01:~> HDBSettings.sh landscapeHostConfiguration.py | Host | Host | ... NameServer | NameServer | IndexServer | IndexServer | | | Active | ... Config Role | Actual Role | Config Role | Actual Role | | ------ | ------ | ... ------------ | ----------- | ----------- | ----------- | | suse01 | yes | ... master 1 | master | worker | master | overall host status: ok
Following the SAP HA guideline, the SAP HANA resource agent interprets the return codes in the following way:
Return Code | Interpretation |
---|---|
4 | SAP HANA database is up and OK. The cluster does interpret this as a correctly running database. |
3 | SAP HANA database is up and in status info. The cluster does interpret this as a correctly running database. |
2 | SAP HANA database is up and in status warning. The cluster does interpret this as a correctly running database. |
1 | SAP HANA database is down. If the database should be up and is not down by intention, this could trigger a takeover. |
0 | Internal Script Error – to be ignored. |
11.3 Maintenance #
To receive updates for the operating system or SUSE Linux Enterprise High Availability, it is recommended to register your systems to either a local SUSE Manager, to Repository Mirroring Tool (RMT), or remotely with SUSE Customer Center. For more information, visit the respective Web pages: https://www.suse.com/products/suse-manager/ https://documentation.suse.com/sles/15-SP6/html/SLES-all/book-rmt.html https://scc.suse.com/docs/help Examples for maintenance tasks are also given in manual page SAPHanaSR_maintenance_examples(7).
11.3.1 Updating the operating system and cluster #
For an update of SUSE Linux Enterprise Server for SAP Applications packages including cluster software, follow the rolling update procedure defined in the product documentation of the SUSE Linux Enterprise High Availability Administration Guide, chapter Upgrading Your Cluster and Updating Software Packages at https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-administration/#cha-ha-migration.
11.3.2 Updating SAP HANA - seamless SAP HANA maintenance #
For updating SAP HANA database systems in system replication, you need to follow the defined SAP processes. This section describes the steps required before and after the update procedure to get the system replication automated again.
SUSE has optimized the SAP HANA maintenance process in the cluster. The improved procedure only sets the multi-state resource to maintenance and keeps the rest of the cluster (SAPHanaTopology clones and IPaddr2 vIP resource) still active. Using the updated procedure allows a seamless SAP HANA maintenance in the cluster, as the virtual IP address can automatically follow the running primary.
Prepare the cluster not to react on the maintenance work to be done on
the SAP HANA database systems. Set the multi-state resource to maintenance
.
- Pre-Update Tasks
For the multi-state-resource set the maintenance mode as follows:
# crm resource maintenance <multi-state-resource>
The <multi-state-resource> in the guide at hand is
mst_SAPHanaCon_HA1_HDB10
.- Update
Process the SAP Update for both SAP HANA database systems. This procedure is described by SAP.
- Post-Update Tasks
Expect the primary/secondary roles to be exchanged after the maintenance. Therefore, tell the cluster to forget about these states and to reprobe the updated SAP HANA database systems.
# crm resource refresh <multi-state-resource>
After the SAP HANA update is complete on both sites, tell the cluster about the end of the maintenance process. This allows the cluster to actively control and monitor the SAP again.
# crm resource maintenance <multi-state-resource> off
Optionally, you could completety remove the maintenance attribute from the resource. For more details see manual page SAPHanaSR_maintenance_examples(7) and crm(8).
11.3.3 Migrating an SAP HANA primary #
In the following procedures, we assume the primary runs on node 1 and the secondary on node 2. The goal is to "exchange" the roles of the nodes: the primary should then run on node 2 and the secondary should run on node 1.
There are different methods to get the exchange of the roles done. The following procedure shows how to tell the cluster to "accept" a role change via native SAP HANA commands.
- Pre-Migration Tasks
Set the multi-state resource to
maintenance
. This can be done on any cluster node.# crm resource maintenance <multi-state-resource>
- Manual Takeover Process
Stop the primary SAP HANA database system. Enter the command in our example on node1 as user <sid>adm.
~> HDB stop
Before proceeding, make sure the primary SAP HANA database is stopped.
Start the takeover process on the secondary SAP HANA database system. Enter the command in our example on node 2 as user <sid>adm.
~> hdbnsutil -sr_takeover
Register the former primary to become the new secondary. Enter the command in our example on node1 as user <sid>adm.
~> hdbnsutil -sr_register --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=sync --name=WDF \ --operationMode=logreplay
Start the new secondary SAP HANA database system. Enter the command in our example on node1 as user <sid>adm.
~> HDB start
- Post-Migration Tasks
Wait some time until
SAPHanaSR-showAttr
shows both SAP HANA database systems to be up again (field roles must start with the digit 4). The new secondary should have role "S" (for secondary).Tell the cluster to forget about the former multi-state roles and to re-monitor the failed master. The command can be submitted on any cluster node as user root.
# crm resource refresh <multi-state-resource>
Set the multi-state resource to the status managed again. The command can be submitted on any cluster node as user root.
# crm resource maintenance <multi-state-resource> off
The following paragraphs explain how to use the cluster to partially automate the migration.
Create a "move away" from this node rule by using the force option.
# crm resource move <multi-state-resource> force
Because of the "move away" (force) rule, the cluster will stop the current primary. After that, run a promote on the secondary site if the system replication was in sync before. You should not migrate the primary if the status of the system replication is not in sync (SFAIL).
ImportantMigration without the force option will cause a takeover without the former primary to be stopped. Only the migration with force option is supported.
Wait until the secondary has completely taken over to be the new primary role. You see this using the command line tool
SAPHanaSR-showAttr
. Now check for the attributes "roles" for the new primary. It must start with "4:P".
{sapnode1}:~ # SAPHanaSR-showAttr --format=script | grep "/roles=" Mon Jun 21 19:38:50 2021; Hosts/{sapnode1}/roles=*1:P*:master1::worker: Mon Jun 21 19:38:50 2021; Hosts/{sapnode2}/roles=*4:P*:master1:master:worker:master
If you have set up the parameter value
AUTOMATED_REGISTER="true"
, you can skip this step. In other cases you now need to register the old primary. Enter the command in our example on node1 as user <sid>adm.~> hdbnsutil -sr_register --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=sync --operationMode=logreplay \ --name=WDF
Clear the ban rules of the resource to allow the cluster to start the new secondary.
# crm resource clear <multi-state-resource>
Wait until the new secondary has started. You see this using the command line tool
SAPHanaSR-showAttr
and check for the attributes "roles" for the new primary. It must start with "4:S".
{sapnode1}:~ # SAPHanaSR-showAttr --format=script | grep "/roles=" Mon Jun 21 19:38:50 2021; Hosts/{sapnode1}/roles=*4:S*:master1::worker: Mon Jun 21 19:38:50 2021; Hosts/{sapnode2}/roles=*4:P*:master1:master:worker:master
12 Examples #
12.1 Example ha-cluster-init
configuration #
suse01:~ # ha-cluster-init -u Generating SSH key Configuring csync2 Generating csync2 shared key (this may take a while)...done csync2 checking files...done Configure Corosync (unicast): This will configure the cluster messaging layer. You will need to specify a network address over which to communicate (default is eth0's network, but you can use the network address of any active interface). Address for ring0 [192.168.1.11] Port for ring0 [5405] Configure SBD: If you have shared storage, for example a SAN or iSCSI target, you can use it avoid split-brain scenarios by configuring SBD. This requires a 1 MB partition, accessible to all nodes in the cluster. The device path must be persistent and consistent across all nodes in the cluster, so /dev/disk/by-id/* devices are a good choice. Note that all data on the partition you specify here will be destroyed. Do you wish to use SBD (y/n)? y Path to storage device (e.g. /dev/disk/by-id/...), or "none" []/dev/disk/by-id/SBDA WARNING: All data on /dev/disk/by-id/SBDA will be destroyed! Are you sure you wish to use this device (y/n)? y Initializing SBD......done Hawk cluster interface is now running. To see cluster status, open: https://192.168.1.11:7630/ Log in with username 'hacluster', password 'linux' You should change the hacluster password to something more secure! Waiting for cluster........done Loading initial cluster configuration Configure Administration IP Address: Optionally configure an administration virtual IP address. The purpose of this IP address is to provide a single IP that can be used to interact with the cluster, rather than using the IP address of any specific cluster node. Do you wish to configure a virtual IP address (y/n)? n Done (log saved to /var/log/ha-cluster-bootstrap.log)
12.2 Example cluster configuration #
The following complete crm configuration is for a two-node cluster (suse01, suse02) and an SAP HANA database with SID HA1 and instance number 10. Priority fencing prefers the SAP HANA primary in case of split-brain. The virtual IP address in the example is 192.168.1.20.
node suse01 node suse02 primitive rsc_SAPHanaTop_HA1_HDB10 ocf:suse:SAPHanaTopology \ op start interval=0 timeout=600 \ op stop interval=0 timeout=600 \ op monitor interval=50 timeout=600 \ params SID=HA1 InstanceNumber=10 primitive rsc_SAPHanaFil_HA1_HDB10 ocf:suse:SAPHanaFilesystem \ op start interval=0 timeout=10 \ op stop interval=0 timeout=20 \ op monitor interval=120 timeout=120 ON_FAIL_ACTION="fence" \ params SID=HA1 InstanceNumber=10 primitive rsc_SAPHanaCon_HA1_HDB10 ocf:suse:SAPHana \ op start interval=0 timeout=3600 \ op stop interval=0 timeout=3600 \ op promote interval=0 timeout=900 \ op demote interval=0 timeout=320 \ op monitor interval=60 role=Promoted timeout=700 \ op monitor interval=61 role=Unpromoted timeout=700 \ params SID=HA1 InstanceNumber=10 PREFER_SITE_TAKEOVER=true \ DUPLICATE_PRIMARY_TIMEOUT=7200 AUTOMATED_REGISTER=false \ meta priority=100 primitive rsc_ip_HA1_HDB10 ocf:heartbeat:IPaddr2 \ op monitor interval=10 timeout=20 \ params ip=192.168.1.20 primitive stonith-sbd stonith:external/sbd \ params pcmk_delay_max=15 clone mst_SAPHanaCon_HA1_HDB10 rsc_SAPHanaCon_HA1_HDB10 \ meta clone-node-max=1 promotable=true interleave=true clone cln_SAPHanaTop_HA1_HDB10 rsc_SAPHanaTop_HA1_HDB10 \ meta clone-node-max=1 interleave=true clone cln_SAPHanaFil_HA1_HDB10 rsc_SAPHanaFil_HA1_HDB10 \ meta clone-node-max=1 interleave=true colocation col_saphana_ip_HA1_HDB10 2000: \ rsc_ip_HA1_HDB10:Started mst_SAPHanaCon_HA1_HDB10:Promoted order ord_saphana_HA1_HDB10 Optional: \ cln_SAPHanaTop_HA1_HDB10 mst_SAPHanaCon_HA1_HDB10 property cib-bootstrap-options: \ cluster-infrastructure=corosync \ stonith-enabled=true \ stonith-action=reboot \ stonith-timeout=150 \ priority-fencing-delay=30 rsc_defaults rsc-options: \ resource-stickiness=1000 \ migration-threshold=5000 op_defaults op-options \ timeout=600 \ record-pending=true
12.3 Example for /etc/corosync/corosync.conf #
The following file shows a typical corosync configuration with two rings. Review the SUSE product documentation about details. See also manual pages corosync.conf(5) and votequorum(5).
# Read the corosync.conf.5 manual page totem { version: 2 secauth: on crypto_hash: sha1 crypto_cipher: aes256 cluster_name: suse-ha clear_node_high_bit: yes token: 5000 token_retransmits_before_loss_const: 10 join: 60 consensus: 6000 max_messages: 20 interface { ringnumber: 0 mcastport: 5405 ttl: 1 } interface { ringnumber: 1 mcastport: 5407 ttl: 1 } rrp_mode: passive transport: udpu } logging { fileline: off to_stderr: no to_logfile: no logfile: /var/log/cluster/corosync.log to_syslog: yes debug: off timestamp: on logger_subsys { subsys: QUORUM debug: off } } nodelist { node { ring0_addr: 192.168.1.11 ring1_addr: 192.168.2.11 nodeid: 1 } node { ring0_addr: 192.168.1.12 ring1_addr: 192.168.2.12 nodeid: 2 } } quorum { provider: corosync_votequorum expected_votes: 2 two_node: 1 }
12.4 Examples for alternate STONITH methods #
12.4.1 Example for deterministic SBD STONITH #
These SBD resources make sure that node suse01 will win in case of split-brain.
primitive rsc_sbd_suse01 stonith:external/sbd \ params pcmk_host_list=suse02 pcmk_delay_base=0 primitive rsc_sbd_suse02 stonith:external/sbd \ params pcmk_host_list=suse01 pcmk_delay_base=30
12.4.2 Example for the IPMI STONITH method #
primitive rsc_suse01_stonith stonith:external/ipmi \ params hostname="suse01" ipaddr="192.168.1.101" userid="stonith" \ passwd="k1llm3" interface="lanplus" \ op monitor interval=1800 timeout=30 ... primitive rsc_suse02_stonith stonith:external/ipmi \ params hostname="suse02" ipaddr="192.168.1.102" userid="stonith" \ passwd="k1llm3" interface="lanplus" \ op monitor interval=1800 timeout=30 ... location loc_suse01_stonith rsc_suse01_stonith -inf: suse01 location loc_suse02_stonith rsc_suse02_stonith -inf: suse02
12.5 Example for checking legacy SystemV integration #
Check if the SAP hostagent is installed on all cluster nodes.
As Linux user root, use the commands systemctl
and saphostctrl
to check the SAP hostagent:
# systemctl status sapinit * sapinit.service - LSB: Start the sapstartsrv Loaded: loaded (/etc/init.d/sapinit; generated; vendor preset: disabled) Active: active (exited) since Wed 2022-02-09 17:25:36 CET; 3 weeks 0 days ago Docs: man:systemd-sysv-generator(8) Tasks: 0 CGroup: /system.slice/sapinit.service # /usr/sap/hostctrl/exe/saphostctrl -function ListInstances Inst Info : HA1 - 10 - suse01 - 753, patch 819, changelist 2069355
The SystemV style sapinit is running and the hostagent recognises the installed database.
As Linux user <sid>adm, use the command line tool HDB
to get an
overview of running SAP HANA processes. The output of HDB info
should
be similar to the output shown below:
suse01:ha1adm> HDB info USER PID PPID ... COMMAND ha1adm 13017 ... -sh ha1adm 13072 ... \_ /bin/sh /usr/sap/HA1/HDB10/HDB info ha1adm 13103 ... \_ ps fx -U ha1adm -o user:8,pid:8,ppid:8,pcpu:5,vsz:10,rss:10,args ha1adm 9268 ... hdbrsutil --start --port 31003 --volume 2 --volumesuffix mnt00001/hdb00002.00003 --identifier 1580897137 ha1adm 8911 ... hdbrsutil --start --port 31001 --volume 1 --volumesuffix mnt00001/hdb00001 --identifier 1580897100 ha1adm 8729 ... sapstart pf=/hana/shared/HA1/profile/HA1_HDB10_suse01 ha1adm 8738 ... \_ /usr/sap/HA1/HDB10/suse01/trace/hdb.sapHA1_HDB10 -d -nw -f /usr/sap/HA1/HDB10/suse01/daemon.ini pf=/usr/sap/HA1/SYS/profile/HA1_HDB10_suse01 ha1adm 8756 ... \_ hdbnameserver ha1adm 9031 ... \_ hdbcompileserver ha1adm 9034 ... \_ hdbpreprocessor ha1adm 9081 ... \_ hdbindexserver -port 31003 ha1adm 9084 ... \_ hdbxsengine -port 31007 ha1adm 9531 ... \_ hdbwebdispatcher ha1adm 8574 ... /usr/sap/HA1/HDB10/exe/sapstartsrv pf=/hana/shared/HA1/profile/HA1_HDB10_suse01 -D -u ha1adm
13 References #
For more detailed information, have a look at the documents listed below.
13.1 SUSE Product Documentation #
- Best Practices for SAP on SUSE Linux Enterprise
- SUSE product manuals and documentation
- Release notes
- Online documentation of SLES for SAP
- Online documentation of SUSE Linux Enterprise High Availability
https://documentation.suse.com/sle-ha/15-SP6/single-html/SLE-HA-administration/
- Deployment guide for SUSE Linux Enterprise Server
https://documentation.suse.com/sles/15-SP6/single-html/SLES-deployment/
- Tuning guide for SUSE Linux Enterprise Server
https://documentation.suse.com/sbp/all/single-html/SBP-performance-tuning/
- Storage administration guide for SUSE Linux Enterprise Server
https://documentation.suse.com/sles/15-SP6/single-html/SLES-storage/
- SUSE Linux Enterprise Server Persistent Memory Guide
https://documentation.suse.com/sles/15-SP6/html/SLES-all/cha-nvdimm.html
- SUSE Linux Enterprise kernel specs
https://www.suse.com/releasenotes/x86_64/SUSE-SLES/15-SP4/index.html#kernel-limits
- SUSE Linux Enterprise file system specs
https://www.suse.com/releasenotes/x86_64/SUSE-SLES/15-SP4/index.html#file-system-comparison
- XFS file system
- SUSE YES certified hardware database
- SUSE Manager Product Page
- SUSE Manager Documentation
https://documentation.suse.com/external-tree/en-us/suma/4.1/suse-manager/index.html
- RMT = Repository Mirroring Tool documentation
https://documentation.suse.com/sles/15-SP6/html/SLES-all/book-rmt.html
- SUSE Customer Center Fequently Asked Questions
13.7 Pacemaker #
- Pacemaker Project Documentation
14 Legal notice #
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Documents published as part of the SUSE Best Practices series have been contributed voluntarily by SUSE employees and third parties. They are meant to serve as examples of how particular actions can be performed. They have been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. SUSE cannot verify that actions described in these documents do what is claimed or whether actions described have unintended consequences. SUSE LLC, its affiliates, the authors, and the translators may not be held liable for possible errors or the consequences thereof.
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If you publish printed copies (or copies in media that commonly have printed covers) of the Document, numbering more than 100, and the Document’s license notice requires Cover Texts, you must enclose the copies in covers that carry, clearly and legibly, all these Cover Texts: Front-Cover Texts on the front cover, and Back-Cover Texts on the back cover. Both covers must also clearly and legibly identify you as the publisher of these copies. The front cover must present the full title with all words of the title equally prominent and visible. You may add other material on the covers in addition. Copying with changes limited to the covers, as long as they preserve the title of the Document and satisfy these conditions, can be treated as verbatim copying in other respects.
If the required texts for either cover are too voluminous to fit legibly, you should put the first ones listed (as many as fit reasonably) on the actual cover, and continue the rest onto adjacent pages.
If you publish or distribute Opaque copies of the Document numbering more than 100, you must either include a machine-readable Transparent copy along with each Opaque copy, or state in or with each Opaque copy a computer-network location from which the general network-using public has access to download using public-standard network protocols a complete Transparent copy of the Document, free of added material. If you use the latter option, you must take reasonably prudent steps, when you begin distribution of Opaque copies in quantity, to ensure that this Transparent copy will remain thus accessible at the stated location until at least one year after the last time you distribute an Opaque copy (directly or through your agents or retailers) of that edition to the public.
It is requested, but not required, that you contact the authors of the Document well before redistributing any large number of copies, to give them a chance to provide you with an updated version of the Document.
4. MODIFICATIONS#
You may copy and distribute a Modified Version of the Document under the conditions of sections 2 and 3 above, provided that you release the Modified Version under precisely this License, with the Modified Version filling the role of the Document, thus licensing distribution and modification of the Modified Version to whoever possesses a copy of it. In addition, you must do these things in the Modified Version:
Use in the Title Page (and on the covers, if any) a title distinct from that of the Document, and from those of previous versions (which should, if there were any, be listed in the History section of the Document). You may use the same title as a previous version if the original publisher of that version gives permission.
List on the Title Page, as authors, one or more persons or entities responsible for authorship of the modifications in the Modified Version, together with at least five of the principal authors of the Document (all of its principal authors, if it has fewer than five), unless they release you from this requirement.
State on the Title page the name of the publisher of the Modified Version, as the publisher.
Preserve all the copyright notices of the Document.
Add an appropriate copyright notice for your modifications adjacent to the other copyright notices.
Include, immediately after the copyright notices, a license notice giving the public permission to use the Modified Version under the terms of this License, in the form shown in the Addendum below.
Preserve in that license notice the full lists of Invariant Sections and required Cover Texts given in the Document’s license notice.
Include an unaltered copy of this License.
Preserve the section Entitled "History", Preserve its Title, and add to it an item stating at least the title, year, new authors, and publisher of the Modified Version as given on the Title Page. If there is no section Entitled "History" in the Document, create one stating the title, year, authors, and publisher of the Document as given on its Title Page, then add an item describing the Modified Version as stated in the previous sentence.
Preserve the network location, if any, given in the Document for public access to a Transparent copy of the Document, and likewise the network locations given in the Document for previous versions it was based on. These may be placed in the "History" section. You may omit a network location for a work that was published at least four years before the Document itself, or if the original publisher of the version it refers to gives permission.
For any section Entitled "Acknowledgements" or "Dedications", Preserve the Title of the section, and preserve in the section all the substance and tone of each of the contributor acknowledgements and/or dedications given therein.
Preserve all the Invariant Sections of the Document, unaltered in their text and in their titles. Section numbers or the equivalent are not considered part of the section titles.
Delete any section Entitled "Endorsements". Such a section may not be included in the Modified Version.
Do not retitle any existing section to be Entitled "Endorsements" or to conflict in title with any Invariant Section.
Preserve any Warranty Disclaimers.
If the Modified Version includes new front-matter sections or appendices that qualify as Secondary Sections and contain no material copied from the Document, you may at your option designate some or all of these sections as invariant. To do this, add their titles to the list of Invariant Sections in the Modified Version’s license notice. These titles must be distinct from any other section titles.
You may add a section Entitled "Endorsements", provided it contains nothing but endorsements of your Modified Version by various parties—for example, statements of peer review or that the text has been approved by an organization as the authoritative definition of a standard.
You may add a passage of up to five words as a Front-Cover Text, and a passage of up to 25 words as a Back-Cover Text, to the end of the list of Cover Texts in the Modified Version. Only one passage of Front-Cover Text and one of Back-Cover Text may be added by (or through arrangements made by) any one entity. If the Document already includes a cover text for the same cover, previously added by you or by arrangement made by the same entity you are acting on behalf of, you may not add another; but you may replace the old one, on explicit permission from the previous publisher that added the old one.
The author(s) and publisher(s) of the Document do not by this License give permission to use their names for publicity for or to assert or imply endorsement of any Modified Version.
5. COMBINING DOCUMENTS#
You may combine the Document with other documents released under this License, under the terms defined in section 4 above for modified versions, provided that you include in the combination all of the Invariant Sections of all of the original documents, unmodified, and list them all as Invariant Sections of your combined work in its license notice, and that you preserve all their Warranty Disclaimers.
The combined work need only contain one copy of this License, and multiple identical Invariant Sections may be replaced with a single copy. If there are multiple Invariant Sections with the same name but different contents, make the title of each such section unique by adding at the end of it, in parentheses, the name of the original author or publisher of that section if known, or else a unique number. Make the same adjustment to the section titles in the list of Invariant Sections in the license notice of the combined work.
In the combination, you must combine any sections Entitled "History" in the various original documents, forming one section Entitled "History"; likewise combine any sections Entitled "Acknowledgements", and any sections Entitled "Dedications". You must delete all sections Entitled "Endorsements".
6. COLLECTIONS OF DOCUMENTS#
You may make a collection consisting of the Document and other documents released under this License, and replace the individual copies of this License in the various documents with a single copy that is included in the collection, provided that you follow the rules of this License for verbatim copying of each of the documents in all other respects.
You may extract a single document from such a collection, and distribute it individually under this License, provided you insert a copy of this License into the extracted document, and follow this License in all other respects regarding verbatim copying of that document.
7. AGGREGATION WITH INDEPENDENT WORKS#
A compilation of the Document or its derivatives with other separate and independent documents or works, in or on a volume of a storage or distribution medium, is called an "aggregate" if the copyright resulting from the compilation is not used to limit the legal rights of the compilation’s users beyond what the individual works permit. When the Document is included in an aggregate, this License does not apply to the other works in the aggregate which are not themselves derivative works of the Document.
If the Cover Text requirement of section 3 is applicable to these copies of the Document, then if the Document is less than one half of the entire aggregate, the Document’s Cover Texts may be placed on covers that bracket the Document within the aggregate, or the electronic equivalent of covers if the Document is in electronic form. Otherwise they must appear on printed covers that bracket the whole aggregate.
8. TRANSLATION#
Translation is considered a kind of modification, so you may distribute translations of the Document under the terms of section 4. Replacing Invariant Sections with translations requires special permission from their copyright holders, but you may include translations of some or all Invariant Sections in addition to the original versions of these Invariant Sections. You may include a translation of this License, and all the license notices in the Document, and any Warranty Disclaimers, provided that you also include the original English version of this License and the original versions of those notices and disclaimers. In case of a disagreement between the translation and the original version of this License or a notice or disclaimer, the original version will prevail.
If a section in the Document is Entitled "Acknowledgements", "Dedications", or "History", the requirement (section 4) to Preserve its Title (section 1) will typically require changing the actual title.
9. TERMINATION#
You may not copy, modify, sublicense, or distribute the Document except as expressly provided for under this License. Any other attempt to copy, modify, sublicense or distribute the Document is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance.
10. FUTURE REVISIONS OF THIS LICENSE#
The Free Software Foundation may publish new, revised versions of the GNU Free Documentation License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. See http://www.gnu.org/copyleft/.
Each version of the License is given a distinguishing version number. If the Document specifies that a particular numbered version of this License "or any later version" applies to it, you have the option of following the terms and conditions either of that specified version or of any later version that has been published (not as a draft) by the Free Software Foundation. If the Document does not specify a version number of this License, you may choose any version ever published (not as a draft) by the Free Software Foundation.
ADDENDUM: How to use this License for your documents#
Copyright (c) YEAR YOUR NAME. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License”.
If you have Invariant Sections, Front-Cover Texts and Back-Cover Texts, replace the “ with…Texts.” line with this:
with the Invariant Sections being LIST THEIR TITLES, with the Front-Cover Texts being LIST, and with the Back-Cover Texts being LIST.
If you have Invariant Sections without Cover Texts, or some other combination of the three, merge those two alternatives to suit the situation.
If your document contains nontrivial examples of program code, we recommend releasing these examples in parallel under your choice of free software license, such as the GNU General Public License, to permit their use in free software.