SAP HANA System Replication Scale-Up - Cost Optimized Scenario #
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 Scale-Up system replication automation in the cost optimized scenario. It is based on SUSE Linux Enterprise Server for SAP Applications 12 SP4. The concept however can also be used with SUSE Linux Enterprise Server for SAP Applications 12 SP5 or newer.
Disclaimer: This document is part of the SUSE Best Practices series. All documents published in this series were contributed voluntarily by SUSE employees and by third parties. If not stated otherwise inside the document, the articles are intended only to be one example of how a particular action could be taken. Also, SUSE cannot verify either that the actions described in the articles do what they claim to do or that they do not have unintended consequences. All information found in this document has been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. Therefore, we need to specifically state that neither SUSE LLC, its affiliates, the authors, nor the translators may be held liable for possible errors or the consequences thereof.
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 cost optimized scenario.
For an overview of supported scenarios, see Section 1.1.3, “Scale-Up Scenarios and Resource Agents”.
SAP HANA is the only database platform for prominent SAP platforms like SAP S/4HANA. SAP NetWeaver can also use SAP HANA as database back-end. As SAP HANA is only available on the Linux operating system, this triggers lots of Unix-to-Linux and Windows-to-Linux migrations.
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 two 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 Cost Optimized".
From the application perspective the following variants are covered:
plain system replication
multi-tenant database containers
From the infrastructure perspective the following variants are covered:
2-node cluster with disk-based SBD
3-node cluster with diskless SBD
on-premise deployment on physical and virtual machines
public cloud deployment (usually needs additional documentation focusing on the cloud specific implementation details)
See Section 2, “Supported Scenarios and Prerequisites” for details.
1.1.2 Scale-Up Versus Scale-Out #
The first set of scenarios includes the architecture and development of scale-up solutions.
For these scenarios SUSE has developed the scale-up
resource agent package SAPHanaSR
. System replication helps to
replicate the database data from one computer to another to compensate for database failures (single-box replication).
The second set of scenarios includes the architecture and development of
scale-out solutions (multi-box replication). For these scenarios SUSE
has developed the scale-out resource agent package SAPHanaSR-ScaleOut
.
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 SAPHana
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 another document available from the documentation Web page (https://documentation.suse.com/sbp/sap/). The document for performance optimized is named "SAP HANA System Replication Scale-Up - Performance Optimized Scenario".
Figure 4: 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 this document.
Figure 5: SAP HANA System Replication Scale-Up in the Cluster - cost optimized #In the cost optimized scenario the second node is also used for a 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 6: 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.
Figure 7: SAP HANA System Replication Scale-Up in the Cluster - performance optimized multi-target #Multi-tier and multi-target systems are implemented as described in the document for the performance optimized scenario named "SAP HANA System Replication Scale-Up - Performance Optimized Scenario". Multi-tier and multi-target systems are only supported in the performance optimized scenario and not with the cost optimized scenario. They are mentioned here to give an overview of our entire portfolio of solutions.
In the multi-tier and multi-target scenario 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 Cost Optimized Scenario #
SAP allows to run a non-replicated instance of SAP HANA on the system replication site on the secondary site. Such a non-replicated database could be development (DEV), test (TST), or quality assurance system (QAS).
In case of a failure of the primary SAP HANA on the primary site the cluster first tries to restart the failed SAP HANA database locally on this node. If the restart is not possible or if the complete primary node crashed, the takeover process will be triggered.
In case of a takeover the secondary (replica) of this SAP HANA on node 2 is promoted after the shutdown of the non-replicated SAP HANA.
Alternatively you can configure a different resource handling procedure, but we recommend to try to restart SAP HANA locally first, as a takeover with non-preloaded tables can consume much time. Also, the needed graceful stop of the non-replicated system will take additional time. Thus, in many environments, the local restart will be faster.
To achieve an automation of this resource handling process, use the SAP HANA
resource agents included in SAPHanaSR. System replication of the productive database is done
using the resource agents SAPHana
and SAPHanaTopology
. The handling of the non-replicated database
is implemented using the SAPInstance
resource agent.
While SAPHana
and SAPHanaTopology
are driving the automation of the SAP HANA system replication,
SAPInstance
is used for the non-replicated SAP HANA database. In the past, the architecture made use of
SAPDatabase
instead. The move to SAPInstance
was needed to get rid of the error-prone
user secure store keys setup procedure. Find more details in the blog article
"SAP HANA Cost-optimized – An alternative Route is available" at https://suse.com/c/sap-hana-cost-optimized-an-alternative-route-is-available/.
The automated shutdown of the non-replicated SAP HANA database (for example QAS) is achieved by cluster
rules. More precisely, it is an anti-colocation of SAP HANA promoted versus SAP HANA non-replicated. This means
if the primary SAP HANA system (like HA1) fails, the anti-colocation rules for the SAP HANA non-replicated system (like QAS) are triggered
and the SAPInstance
resource agent shuts down the non-replicated SAP HANA database.
The takeover to the secondary site takes up a lot of time, because the non-replicated database needs to be stopped gracefully prior to takeover the productive database. This extended takeover time is the main disadvantage of the cost optimized scenario. Thus the cost optimized scenario might be combined with persistent memory to benefit from SAP HANA’s persistent memory features.
If you want to achieve a very fast takeover, the performance optimized scenario is the better option.
In addition to the description of the concept in this best practice document, read the corresponding SAP documentation such as "Using Secondary Servers for Non-Productive systems". The section is available for example for SAP HANA 2.0 SPS05 at https://help.sap.com/viewer/6b94445c94ae495c83a19646e7c3fd56/2.0.05/en-US/5447545b91a04cf8a0d6133a026f2be5.html.
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 set up 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.
The solution is not designed to manually 'move' the primary or secondary instance using HAWK or any other cluster client commands. In Section 11, “Administration” 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 http://documentation.suse.com/.
Numerous whitepapers, best practices documents, setup guides, and other resources ar available from the SUSE Best Practices Web page under the categories 'SAP Applications on SUSE Linux Enterprise' at https://documentation.suse.com/sbp/sap/.
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/.
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:
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/)
In addition to this guide, check the SUSE SAP Best Practice Guide Errata for other solutions (https://www.suse.com/support/kb/doc/?id=7023713).
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 #
With the SAPHanaSR
resource agent software package, 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 decision 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 Extension 12 (like SBD, IPMI) is supported with SAPHanaSR.
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 Extension 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.
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 Extension cluster product. Of particular concern are the network latency and recommended maximum distance between the nodes. Review our product documentation for SUSE Linux Enterprise High Availability Extension about those recommendations.
Automated registration of a failed primary after takeover prerequisites need to be defined.
As initial 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. Use SAP tools like SAP HANA cockpit or hdbnsutil.For optimal automation, we recommend to set
AUTOMATED_REGISTER="true"
.The cluster automates one single takeover in case of a failed primary. After that happened, the initial state needs to be restored by the administrative procedure outlined in this guide.
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 based, cost optimized and multi-tier).
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.
SUSE Linux Enterprise Server for SAP Applications versions:
You need at least SAPHanaSR version 0.154 and at least SUSE Linux Enterprise Server for SAP Applications 12 SP4.
Intel Optane DCPMM (aka PMEM) is supported since SUSE Linux Enterprise Server for SAP Applications 12 SP4 or newer.
SAP HANA versions:
SAP HANA 1.0 is supported since SPS09 (095) for all mentioned setups. SAP HANA 1.0 does not support the HA/DR provider hook method srConnectionChanged() with multi-target aware parameters. These parameters are needed for the HA/DR hook in the package.
For SAP HANA 1.0 you need version SPS10 rev3, SPS11 or newer if you want to stop tenants during production and you want the cluster to be able to take over. Older SAP HANA versions are marking the system replication as failed if you stop a tenant.
SAP HANA 2.0 SPS04 or later provides the needed HA/DR provider hook method srConnectionChanged() with multi-target aware parameters.
Particularly the SAP HANA system replication cost optimized scenario can benefit from SAP HANA’s persistent memory features. Local restart and take-over are affected by the time SAP HANA needs for shutdown and loading column store. SAP HANA 2.0 SPS04 and later support persistent memory.
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.
In addition to SAP HANA, you need to install the SAP Host Agent on your system.
For information on supported hardware and virtualization, refer to the SUSE release notes and hardware compatibility database: * https://www.suse.com/releasenotes/ * https://www.suse.com/yessearch/
Also, take a look at the SAP HANA product availability matrix, which can for example be found at https://support.sap.com/en/release-upgrade-maintenance.html#section_1969201630
Additional information for deploying the cost optimized scenario in particular public clouds is available either from the respective cloud provider or at SUSE: https://documentation.suse.com/sbp/sap/
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.
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 12 SP4 systems. In addition, a non-replicated SAP HANA is installed and added to the cluster control.
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 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/12-SP4/single-html/SLES4SAP-guide/#cha-s4s-cluster.
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, “Operating System Setup”)
Database installation (see Section 6, “Installing the SAP HANA Databases on both Cluster Nodes”)
SAP HANA system replication setup (see Section 7, “Set Up SAP HANA System Replication”
SAP HANA HA/DR provider hooks (see Section 8, “Set Up SAP HANA HA/DR Providers”)
Cluster configuration (see Section 9, “Configuration of 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. The following minimum setup uses the half-size of RAM for the secondary SAP HANA database which has table preload inactive. 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 the 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):
1 VM with 32GB RAM, 50 GB disk space for the system
1 VM with 48GB RAM, 50 GB 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 96 GB for SAP HANA
1 data disk (for the non-replicated database) with a capacity of 96 GB for SAP HANA
1 additional IP address for takeover
1 additional IP address for non-replicated database
1 optional IP address for HAWK Administration GUI
Requirements with 1 SAP system replication instance per site (1 : 1) - with a majority maker (3 node cluster):
1 VM with 32 GB RAM, 50 GB disk space for the system
1 VM with 48 GB RAM, 50 GB disk space for the system
1 VM with 2 GB RAM, 50 GB disk space for the system
2 data disks (one per site) with a capacity of each 96 GB for SAP HANA
1 data disk (for the non-replicated database) with a capacity of 96 GB for SAP HANA
1 additional IP address for takeover
1 additional IP address for non-replicated database
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. | |
SID | SAP System Identifier of the replicated SAP HANA database | |
Instance Number | Number of the SAP HANA database. For system replication also Instance Number+1 is blocked. | |
SID non-replicated | SAP System Identifier of the non-replicated SAP HANA database | |
Instance Number | Number of the non-replicated SAP HANA database. | |
Network mask | ||
vIP primary | Virtual IP address to be assigned to the primary SAP HANA site | |
vIP non-replicated | Virtual IP address to be assigned to the non-replicated SAP HANA system (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 of the replicated SAP HANA database |
Instance Number |
| Number of the SAP HANA database. For system replication also Instance Number+1 is blocked. |
SID non-replicated |
| SAP System Identifier of the non-replicated SAP HANA database |
Instance Number |
| Number of the non-replicated SAP HANA database. |
Network mask |
| |
vIP primary |
| |
vIP non-replicated |
| (optional) |
Storage | Storage for HDB data and log files is connected “locally” (per node; not shared) | |
SBD |
| STONITH device (two for production) or diskless |
HAWK Port |
| |
NTP Server | pool pool.ntp.org | Address or name of your time server |
5 Operating System Setup #
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 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/12-SP4/html/SLES-all/book-sle-deployment.html). In case of automated installations you can find further information in the AutoYaST Guide (https://documentation.suse.com/sles/12-SP4/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:
1984787 SUSE LINUX Enterprise Server 12: Installation notes
2205917 SAP HANA DB: Recommended OS settings for SLES 12 / SLES for SAP Applications 12.
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 resource agent for SAP HANA scale-up is installed. For the scale-out scenario you need a special resource agent. Follow the instructions below on each node if you have installed the systems based on SAP note 1984787. The pattern High Availability summarizes all tools recommended to be installed on all nodes, including the majority maker.
Install the
High Availability
pattern on all nodessuse01:~> zypper in --type pattern ha_sles
Install the
SAPHanaSR
resource agents on all nodessuse01:~> zypper in SAPHanaSR SAPHanaSR-doc
Optionally the ClusterTools2 package can be installed. It contains cmdline tools for simplifying common administrative tasks.
For more information, see section Installation and Basic Setup of the SUSE Linux Enterprise High Availability Extension 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 pacemaker 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.
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.
Check if the SAP Host Agent is installed on all cluster nodes. If this SAP service is not installed, install it now.
Verify that both databases (of the system replicated pair) are up and all processes of these databases are running correctly.
As Linux user <sid>adm use the command line tool HDB to get an
overview of running HANA processes. The output of HDB
info
should
be similar to the output shown below:
suse02:~> HDB info USER PID ... COMMAND ha1adm 6561 ... -csh ha1adm 6635 ... \_ /bin/sh /usr/sap/HA1/HDB10/HDB info ha1adm 6658 ... \_ ps fx -U ha1 -o user,pid,ppid,pcpu,vsz,rss,args ha1adm 5442 ... sapstart pf=/hana/shared/HA1/profile/HA1_HDB10_suse02 ha1adm 5456 ... \_ /usr/sap/HA1/HDB10/suse02/trace/hdb.sapHA1_HDB10 -d -nw -f /usr/sap/HA1/HDB10/suse ha1adm 5482 ... \_ hdbnameserver ha1adm 5551 ... \_ hdbpreprocessor ha1adm 5554 ... \_ hdbcompileserver ha1adm 5583 ... \_ hdbindexserver ha1adm 5586 ... \_ hdbstatisticsserver ha1adm 5589 ... \_ hdbxsengine ha1adm 5944 ... \_ sapwebdisp_hdb pf=/usr/sap/HA1/HDB10/suse02/wdisp/sapwebdisp.pfl -f /usr/sap/SL ha1adm 5363 ... /usr/sap/HA1/HDB10/exe/sapstartsrv pf=/hana/shared/HA1/profile/HA1_HDB10_suse02 -D -u s
6.2 Installing the Non-Replicated SAP HANA on the Secondary Site #
Stop secondary (unlimited database)
Install the non-replicated SAP HANA with memory limits
Stop the non-replicated SAP HANA
[memorymanager] global_allocation_limit = <size_in_mb_for_non_replicated_hana>
7 Set 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 primary database
Register, limit 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 -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 Enable 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.
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 Register 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-site A>:,}$PWD/data/SSFS_<SID>.DAT rsync -va {<node1-site A>:,}$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.
Add the memory limits to the global.ini. Keep in mind that SUSE cannot provide a sizing guide here. SAP HANA sizing needs to be done according to respective SAP guidelines.
[memorymanager] global_allocation_limit = <size_in_mb_for_secondary_hana>
To allow the SAP HANA secondary with less memory, you need to switch-off table pre-load.
[system_replication] preload_column_tables = false
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 site/1/REPLICATION_MODE=PRIMARY site/1/SITE_NAME=WDF local_site_id=1 ...
7.4 Manual Test of SAP HANA SR Takeover #
Before you integrate your SAP HANA system replication into the 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: Manual Re-Establishment of 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 Set 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.
Procedure
Implement the python hook SAPHanaSR
Configure system replication operation mode
Allow <sid>adm to access the cluster
Start SAP HANA
Test the hook integration
Implement two SAP HANA HA/DR provider hooks. One hook is named SAPHanaSR and shipped with the SAPHanaSR package. The other is named srCostOptMemConfig and needs to be adapted to your database according to your specific username/password and connection.
The steps in this section must be performed on both sites. SAP HANA must be stopped to change the global.ini and allow SAP HANA to integrate the HA/DR hook script during start.
Install the HA/DR hook scripts into a read/writable directory
Integrate the hooks into global.ini (SAP HANA needs to be stopped)
Check integration of the hooks during start-up
8.1 Implementing SAPHanaSR Hook for srConnectionChanged #
Use the hook from the SAPHanaSR package /usr/share/SAPHanaSR/SAPHanaSR.py. The hook must be available on all SAP HANA cluster nodes. See manual page SAPHanaSR.py(7) for details.
Stop SAP HANA either with HDB or using sapcontrol.
~> sapcontrol -nr <instanceNumber> -function StopSystem
[ha_dr_provider_SAPHanaSR] provider = SAPHanaSR path = /usr/share/SAPHanaSR/ execution_order = 1 [trace] ha_dr_saphanasr = info
8.1.1 Configuring System Replication Operation Mode #
When your system is connected as an SAPHanaSR 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, not suitable for the cost optimized scenario)
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 "How To Perform System Replication for SAP HANA ".
Check both global.ini files and add the operation mode if needed.
- section
[ system_replication ]
- entry
operation_mode = logreplay
Path for the global.ini: /hana/shared/<SID>/global/hdb/custom/config/
[system_replication] operation_mode = logreplay
8.1.2 Allowing <sid>adm to Access the Cluster #
The current version of the SAPHanaSR python hook uses the command sudo
to allow
the <sid>adm user to access the cluster attributes. In Linux you can use visudo
to start the vi editor for the /etc/sudoers configuration file.
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. See manual page sudoers(5) for details.
Replace the <sid> by the lowercase SAP system ID (like ha1
).
Basic sudoers entry to allow <sid>adm to use the srHook.
# SAPHanaSR-ScaleUp entries for writing srHook cluster attribute <sid>adm ALL=(ALL) NOPASSWD: /usr/sbin/crm_attribute -n hana_<sid>_site_srHook_*
More specific sudoers entries to meet a high security level.
All Cmnd_Alias entries must be each dmfined as a single line entry. In our example we would have four separate lines with Cmnd_Alias entries, one line for the <sid>adm user and one or more lines for comments. 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.
# 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 <sid>adm ALL=(ALL) NOPASSWD: SOK_SITEA, SFAIL_SITEA, SOK_SITEB, SFAIL_SITEB
8.2 Implementing Hook srCostOptMemConfig for srPostTakeover Method #
The parameters added to global.ini imply that the hook srCostOptMemConfig needs to be installed on the second node. This document provides a sample code (see Section 13.4.3, “srCostOptMemConfig”) which needs to be adapted for your environment. Currently you need to provide a user name / password combination inside the hook. It is recommended to use a database user with minimum permissions.
Copy the example, adapt it to your environment and set restrictive file permissions.
# cd /hana/shared/srHook ## copy the example from the appendix of this document ## set restricted file permissions # chown <sid>adm.users srCostOptMemConfig.py # chmod 500 srCostOptMemConfig.py ## change the connection setting to your local environment # vi srCostOptMemConfig.py dbuser="SYSTEM" dbpwd="<yourPassword>" dbinst="<yourInstanceNr>" dbport="30013"
In the same directory (/hana/shared/srHook) you need to install (link) some Python files from the SAP HANA client software to enable the hook to run the database connect and SQL queries. You need the following files:
dbapi.py
__init__.py
resultrow.py
It is recommended to use symbolic links to have those Python libraries available. Using symbolik links, the files are always up to date if you update SAP HANA.
# cd /hana/shared/srHook # ln -s /hana/shared/<SID>/exe/linuxx86_64/hdb/python_support/hdbcli/dbapi.py . # ln -s /hana/shared/<SID>/exe/linuxx86_64/hdb/python_support/hdbcli/__init__.py . # ln -s /hana/shared/<SID>/exe/linuxx86_64/hdb/python_support/hdbcli/resultrow.py .
Enable the use of srCostOptMemConfig by adpating global.ini on node 2.
[ha_dr_provider_srCostOptMemConfig] provider = srCostOptMemConfig path = /hana/shared/srHook/ execution_order = 2 [trace] ha_dr_saphanasr = info
After changing the global.ini on node 2 and implementing the srCostOptMemConfig hook, you should start the productive SAP HANA secondary database and check if the parameters are working.
As user <sid>adm on node 2, you might perform the following command:
suse02 > cdtrace suse02 > grep srCostOptMemConfig nameserver_*.trc
9 Configuration of the Cluster #
This chapter describes the configuration of the cluster software SUSE Linux Enterprise High Availability Extension, 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 Hook Integration
9.1 Basic Cluster Configuration #
The first step is to set up the basic cluster framework. For convenience, use YaST2 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 Set 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 Initial Cluster Setup 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 Extension 12.
Create an initial setup, using the ha-cluster-init
command, and follow the
dialogs. Do this only on the first cluster node.
suse01:~> ha-cluster-init -u -s <sbddevice>
This command configures the basic cluster framework including:
SSH keys
csync2 to transfer configuration files
SBD (at least one device)
corosync (at least one ring)
HAWK Web interface
As requested by ha-cluster-init
, change the password of the user hacluster.
9.1.3 Adapting the Corosync and SBD Configuration #
It is recommended to add a second corosync ring. If you did not start ha-cluster-init
with the -u option, you need to change corosync to use UCAST communication.
To change to UCAST, stop the already running cluster by using systemctl stop pacemaker
.
After the setup of the corosync configuration and the SBD parameters, start the cluster again.
9.1.3.1 Corosync Configuration #
Check the following blocks in the file /etc/corosync/corosync.conf. See also the example at the end of this document.
totem { ... interface { ringnumber: 0 mcastport: 5405 ttl: 1 } #Transport protocol transport: udpu } nodelist { node { ring0_addr: 192.168.1.11 nodeid: 1 } node { ring0_addr: 192.168.1.12 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 man pages sbd(8) and stonith_sbd(7) for details.
Parameter | Description |
---|---|
SBD_WATCHDOG="yes" | Use watchdog. It is mandatory to use a watchdog. SBD does not work reliable without watchdog. Refer to the SLES manual and SUSE TIDs 7016880 for setting up a watchdog. |
SBD_STARTMODE="clean" | Start mode. If set to one, sbd will only start if the node was previously shut down cleanly or if the slot is empty. |
SBD_PACEMAKER="yes" | Check Pacemaker quorum and node health. |
In the following example, replace /dev/disk/by-id/SBDA and /dev/disk/by-id/SBDB by your real SBD device names.
# /etc/sysconfig/sbd SBD_DEVICE="/dev/disk/by-id/SBDA;/dev/disk/by-id/SBDB" SBD_WATCHDOG_DEV="/dev/watchdog" SBD_PACEMAKER="yes" SBD_STARTMODE="clean" SBD_OPTS=""
In your specific system, the file might have additional parameters not discussed here.
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 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
The timeout values in our example are only start values. They need to be tuned to your environment.
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 list 0 suse01 clear
For more information on SBD configuration parameters, read the section Using SBD as Fencing Mechanism of the Installation and Setup Quick Start for SUSE Linux Enterprise High Availability Extension 12, and the TIDs 7016880 and 7008216.
Now it is time to restart the cluster at the first node again
(systemctl start pacemaker
).
9.1.4 Cluster Configuration 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>
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:~ # systemctl start pacemaker suse02:~ # systemctl start pacemaker
Check the cluster status.
First, check if all nodes have used the SBD devices.
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 list 0 suse01 clear 1 suse02 clear
You can also call cs_show_sbd_devices
again.
Next, check if all nodes have joined the cluster.
To do so, call crm_mon
. Use the option "-r" to also see the resources that are
configured but stopped.
# crm_mon -r
The command will show the "empty" cluster and will print something similar to the screen output below. The most interesting information for now is that there are two nodes in the status "online", and the message "partition with quorum".
Stack: corosync Current DC: suse01 (version 1.1.19+20180928.0d2680780-1.8-1.1.19+20180928.0d2680780) - partition with quorum Last updated: Fri Nov 29 12:41:16 2019 Last change: Fri Nov 29 12:40:22 2019 by root via crm_attribute on suse02 2 nodes configured 1 resource configured 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 section Configuring and Managing Cluster Resources (Command Line) of the
Administration Guide for SUSE Linux Enterprise High Availability Extension 12.
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 msgwait timeout.
suse01:~ # vi crm-bs.txt # enter the following to crm-bs.txt property $id="cib-bootstrap-options" \ stonith-enabled="true" \ stonith-action="reboot" \ stonith-timeout="150s" rsc_defaults $id="rsc-options" \ resource-stickiness="1000" \ migration-threshold="3" op_defaults $id="op-options" \ timeout="600"
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 with an appropriate value for the parameter_pcmk_delay_max_.
# vi crm-sbd.txt # enter the following to crm-sbd.txt primitive stonith-sbd stonith:external/sbd \ params pcmk_delay_max="30"
Again, add the configuration to the cluster.
suse01:~ # crm configure load update crm-sbd.txt
For an advanced SBD setup, refer to the SUSE Linux Enterprise High Availability Extension product documentation (for example, visit https://documentation.suse.com/sle-ha/12-SP4/html/SLE-HA-all/cha-ha-storage-protect.html#pro-ha-storage-protect-fencing). If the preferred node running the primary HANA database always should win in case of split-brain, look up the "Predictable Static Delays" configuration example. See also Section 13.4.1, “Example for Deterministic SBD STONITH”.
For fencing with IPMI/ILO, see Section 9.2.3, “Using IPMI as Fencing Mechanism”.
9.2.3 Using IPMI as Fencing Mechanism #
This section is only relevant if the recommended disk-based or diskless SBD fencing is not used.
For details about IPMI/ILO fencing, read the cluster product documentation (https://documentation.suse.com/sle-ha/12-SP4/html/SLE-HA-all/book-sleha.html). An example for an IPMI STONITH resource can be found in Section 13.4.2, “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 Extension product also supports additional fencing mechanism not covered here.
For further information about fencing, read the Administration Guide for SUSE Linux Enterprise High Availability Extension at https://documentation.suse.com/sle-ha/12-SP4/html/SLE-HA-all/book-sleha.html.
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_SAPHanaTopology_HA1_HDB10 ocf:suse:SAPHanaTopology \ op monitor interval="10" timeout="600" \ op start interval="0" timeout="600" \ op stop interval="0" timeout="300" \ params SID="HA1" InstanceNumber="10" clone cln_SAPHanaTopology_HA1_HDB10 rsc_SAPHanaTopology_HA1_HDB10 \ meta clone-node-max="1" interleave="true"
Additional information about all parameters can be found with the command:
man ocf_suse_SAPHanaTopology
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 SAPHana #
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-saphana.txt, and load it with the following command:
crm configure load update crm-saphana.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 takeover 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 fail-over. 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 can be found with the following command:
man ocf_suse_SAPHana
# vi crm-saphana.txt # enter the following to crm-saphana.txt primitive rsc_SAPHana_HA1_HDB10 ocf:suse:SAPHana \ op start interval="0" timeout="3600" \ op stop interval="0" timeout="3600" \ op promote interval="0" timeout="3600" \ op monitor interval="60" role="Master" timeout="700" \ op monitor interval="61" role="Slave" timeout="700" \ params SID="HA1" InstanceNumber="10" PREFER_SITE_TAKEOVER="false" \ DUPLICATE_PRIMARY_TIMEOUT="7200" AUTOMATED_REGISTER="false" ms msl_SAPHana_HA1_HDB10 rsc_SAPHana_HA1_HDB10 \ meta clone-max="2" clone-node-max="1" interleave="true"
Now add the configuration to the cluster.
suse01:~ # crm configure load update crm-saphana.txt
The most important parameters here are again SID and InstanceNumber. Beside these parameters, typical tuneables are the timeout values for the operations (start, promote, monitors, stop). The parameter AUTOMATED_REGISTER can be used to adapt the level of system replication automation.
9.2.7 Virtual IP Address for the Primary Site #
The last resource to be added for SAPHanaSR is covering the virtual IP address.
# vi crm-vip.txt # enter the following to crm-vip.txt primitive rsc_ip_HA1_HDB10 ocf:heartbeat:IPaddr2 \ op monitor interval="10s" timeout="20s" \ 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.
9.2.8 Constraints for SAPHanaSR #
Two constraints are organizing the correct placement of the virtual IP address for the client database access and the start order between the two resource agents SAPHana 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 \ msl_SAPHana_HA1_HDB10:Master order ord_SAPHana_HA1_HDB10 Optional: cln_SAPHanaTopology_HA1_HDB10 \ msl_SAPHana_HA1_HDB10
Load the file to the cluster.
suse01:~ # crm configure load update crm-cs.txt
9.2.9 Adding the Cluster Resource for the Non-Replicated SAP HANA Database #
For the non-replicated SAP HANA database, a new resource is added to the cluster.
In previous versions of this document we used the resource agent SAPDatabase
to control that
database. The new architecture now uses SAPInstance
to start, stop and monitor this
cluster component. The reason for that change is that SAPDatabase
is using the
SAP host agent API. The SAP host agent itself needs user secure keys to
communicate with the cluster. This configuration is too complex and error-prone.
SAPInstance
uses the sapstartsrv API to do the work. This should solve the issue.
The new concept has already been published in a SUSE towardsZeroDoentime blog at:
https://suse.com/c/sap-hana-cost-optimized-an-alternative-route-is-available/
# vi crm-si.txt # enter the following to crm-si.txt primitive rsc_SAP_QAS_HDB20 ocf:heartbeat:SAPInstance \ params InstanceName="QAS_HDB20_suse02" \ MONITOR_SERVICES="hdbindexserver|hdbnameserver" \ START_PROFILE="/usr/sap/QAS/SYS/profile/QAS_HDB20_suse02" \ op start interval="0" timeout="600" \ op monitor interval="120" timeout="700" \ op stop interval="0" timeout="300" \ meta priority="100"
Load the resource definition into the cluster
suse01:~ # crm configure load update crm-si.txt
9.2.10 Adding Cluster Rules for Automatic Shutdown of the Non-Replicated SAP HANA #
In the following example, again suse01 and suse02 are used as the two active cluster nodes.
# vi crm-con.txt # enter the following to crm-con.txt location loc_QAS_never_on_suse01 rsc_SAP_QAS_HDB20 -inf: suse01 colocation col_QAS_never_with_HA1ip -inf: rsc_SAP_QAS_HDB20:Started \ rsc_ip_HA1_HDB10 order ord_QASstop_before_HA1-promote mandatory: rsc_SAP_QAS_HDB20:stop \ msl_SAPHana_HA1_HDB10:promote
Load the resource definition into the cluster
suse01:~ # crm configure load update crm-con.txt
10 Testing the Cluster #
The lists of tests will be further enhanced with a next update of this document.
For any cluster setup testing is crucial. Make sure that all test cases derived from your organizations or from customer expectations are fully implemented and successfully passed. Otherwise the project is likely to fail in production.
If not described differently, the test prerequisite is always that both nodes are booted, normal members of the cluster and that the HANA RDBMS is running. There are no left-over migration constraints or resource failures contained in the cluster information base (CIB). The system replication is in sync (SOK).
This can be checked, for example, with the following command sequence:
# crm_mon -1r # crm configure show | grep cli- # SAPHanaSR-showAttr # cs_clusterstate -i
See also the manual pages SAPHanaSR-showAttr(8)
, crm_mon(8)
, crm(8)
, cs_clusterstate(8)
,
SAPHanaSR_maintenance_examples(7)
.
10.1 Test Cases for Semi-Automation #
For the following test descriptions, we assume the following parameter values:
* PREFER_SITE_TAKEOVER="false"
* AUTOMATED_REGISTER="false".
The following tests are designed to run in a sequence. Each test depends on the exit state of the preceding tests.
10.1.1 Tests for Primary Database or Node #
10.1.1.1 Test: Stop Primary Database on Site A (Node 1) #
Primary Database
Stop Primary on site A (node 1)
Stop the SAP HANA database as user <sid>adm
suse01# HDB stop
Primary restarts on site A (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
If takeover occurs:
non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
No recovery needed, if no takeover did occur
Recovery after takeover:
Register site A to site B
Resource cleanup for site A
10.1.1.2 Test: Stop Primary Database on Site B (Node 2) #
Primary Database
Stop Primary on site B (node 2)
Stop the SAP HANA database as user <sid>adm
suse01# HDB stop
Primary restarts on site B (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
Non-replicated database still stopped on node 2 (site B)
If takeover occurs:
Secondary database is promoted as primary
non-replicated database is started on node 2 (site B)
No recovery needed if no takeover did occur
Recovery after takeover:
Register site B to site A
Resource cleanup for site B
10.1.1.3 Test: Crash Primary Database on Site A (Node 1) #
Primary Database
Kill Primary on site A (node 1)
Kill (send signal to) the SAP HANA database as user <sid>adm
suse01# HDB kill-9
Primary restarts on site A (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
If takeover occurs:
Non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
No recovery needed if no takeover did occur
Recovery after takeover:
Register site A to site B
Resource cleanup for site A
10.1.1.4 Test: Crash Primary Database on Site B (Node 2) #
Primary Database
Kill Primary on site B (node 2)
Kill Primary on site B (node 2) as user <sid>adm
suse02# HDB kill-9
Primary restarts on site B (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
Non-replicated database still stopped on node 2 (site B)
No recovery needed if no takeover did occur
Recovery after takeover:
Register site B to site A
Resource cleanup for site B
10.1.1.5 Test: Crash Primary Node on Site A (Node 1) #
Cluster Node
Crash node 1 (site A)
Crash the node by proc-sysrq-trigger as user root
suse01# sync; echo b > /proc/sysrq-trigger
Non-replicated SAP HANA stopped on node 2
Cluster takeover to site B
Non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
Recovery after takeover:
Optionally clean up sbd slot for node 1
Start cluster framework on node 1
Wait until node 1 joins the cluster
Register site A to site B
10.1.1.6 Test: Crash Primary Node on Site B (Node 2) #
Cluster Node
Crash node 2 (site B)
Crash the node by proc-sysrq-trigger as user root
suse02# sync; echo b > /proc/sysrq-trigger
Cluster takeover to site A
Non-replicated database not available (no takeover to site A)
Recovery after takeover:
Optionally clean up sbd slot for node 2
Start cluster framework on node 2
Wait until node 2 joins the cluster
Register site B to site A
10.1.2 Tests for Secondary Database or Node #
10.1.2.1 Test: Stop the Secondary Database on Site B (Node 2) #
Secondary Database
Stop secondary database on node 2 (site B)
Stop the secondary SAP HANA database as user <sid>adm
suse02# HDB stop
Cluster restarts Secondary on node 2 (site B)
non-replicated database not affected on node 2 (site B)
Wait and see
Resource cleanup for site B
10.1.2.2 Test: Crash the Secondary Database on Site B (Node 2) #
Secondary Database
Crash secondary database on node 2 (site B)
Kill (send signal to) the secondary SAP HANA database as user <sid>adm
suse02# HDB kill-9
Cluster restarts Secondary on node 2 (site B)
Non-replicated database not affected on node 2 (site B)
Wait and see
Resource cleanup for site B
10.1.2.3 Test: Crash the Secondary Node on Site B (Node2) #
Cluster Node
Crash node 2 (site B)
Crash the node by proc-sysrq-trigger as user root
suse02# sync; echo b > /proc/sysrq-trigger
No takeover of node 2 resources to site A
Non-replicated database not available (no takeover to site A)
Recovery after node 2 is back:
Optionally clean up sbd slot for node 2
Start cluster framework on node 2
Wait until node 2 joins the cluster
10.1.3 Tests for Non-Replicated Database #
10.1.3.1 Test: Stop Non-Replicated Database on SiteB (Node 2) #
Non-Replicated Database
Stop non-replicated database node 2 (site B)
Kill (send signal to) the secondary SAP HANA database as user <sid>adm
suse02# HDB stop
Cluster restarts non-replicated database on node 2 (site B)
Secondary database is not affected
Clean up non-replicated database resource
10.1.3.2 Test: Crash Non-Replicated Database on Site B (Node 2) #
Non-Replicated Database
Crash non-replicated database on node 2 (site B)
Kill (send signal to) the non-replicated SAP HANA database as user <sid>adm
suse02# HDB kill-9
Cluster restarts non-replicated database on node 2 (site B)
Secondary database is not affected
Clean up non-replicated database resource
10.1.4 Tests for Other Components #
10.1.4.1 Test: Failure of Dedicated Replication LAN #
Replication Network
Pull LAN port down or block network packets for system replication. Corosync network still available.
System replication status fall down to status SFAIL
Primary stays on node 1 (site A)
No cluster takeover
Non-replicated database not affected on node 2 (site B)
Reestablish network connection
Wait until System replication status is SOK again
10.1.5 Test Maintenance Procedures #
Also test the maintenance procedures mentioned in section Section 11.3, “Maintenance”.
10.2 Test Cases for Full Automation #
For the following test descriptions, we assume the following parameter values:
* PREFER_SITE_TAKEOVER="false"
* AUTOMATED_REGISTER="true".
The following tests are designed to run in a sequence. Each test depends on the exit state of the preceding tests.
10.2.1 Tests for Primary Database or Node #
10.2.1.1 Test: Stop Primary Database on Site A (Node 1) #
Primary Database
Stop primary database on site A (node 1)
Stop the SAP HANA database as user <sid>adm
suse01# HDB stop
Primary restarts on site A (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
If takeover occurs:
Non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
SiteA is automatically registered to SiteB
No recovery needed, if no takeover did occur
Recovery after takeover:
Resource cleanup for site A
10.2.1.2 Test: Stop Primary Database on Site B (Node 2) #
Primary Database
Stop primary database on site B (node 2)
Stop the SAP HANA database as user <sid>adm
suse01# HDB stop
Primary restarts on site B (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
Non-replicated database still stopped on node 2 (site B)
If takeover occurs:
Secondary database is promoted as primary
non-replicated database is started on node 2 (site B)
SiteB is automatically registered to SiteA
No recovery needed if no takeover did occur
Recovery after takeover:
Resource cleanup for site B
10.2.1.3 Test: Crash Primary Database on Site A (Node 1) #
Primary Database
Kill primary database on site A (node 1)
Kill (send signal to) the SAP HANA database as user <sid>adm
suse01# HDB kill-9
Primary restarts on site A (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
If takeover occurs:
Non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
SiteA is registered to SiteB
No recovery needed if no takeover did occur
Recovery after takeover:
Resource cleanup for site A
10.2.1.4 Test: Crash Primary Database on Site B (Node 2) #
Primary Database
Kill primary database on site B (node 2)
Kill primary database on site B (node 2) as user <sid>adm
suse02# HDB kill-9
Primary restarts on site B (PREFER_SITE_TAKEOVER=false) until failcount >= migration-threshold
Non-replicated database still stopped on node 2 (site B)
If takeover occurs:
Secondary database is promoted as primary
Non-replicated database is started on node 2 (site B)
SiteB is automatically registered to SiteA
No recovery needed if no takeover did occur
Recovery after takeover:
Resource cleanup for site B
10.2.1.5 Test: Crash Primary Node on Site A (Node 1) #
Cluster Node
Crash node 1 (site A)
Crash the node by proc-sysrq-trigger as user root
suse01# sync; echo b > /proc/sysrq-trigger
Non-replicated SAP HANA stopped on node 2
Cluster takeover to site B
Non-replicated database is stopped on node 2 (site B)
Secondary database is promoted as primary
Later, when node 1 joins the cluster again:
SiteA is registered to SiteB
Recovery after takeover:
Optionally clean up sbd slot for node 1
Start cluster framework on node 1
Wait until node 1 joins the cluster
10.2.1.6 Test: Crash Primary Node on Site B (Node 2) #
Cluster Node
Crash node 2 (site B) as user root
Crash the node by proc-sysrq-trigger
suse02# sync; echo b > /proc/sysrq-trigger
Cluster takeover to site A
Non-replicated database not available (no takeover to site A)
Later, when node 2 joins the cluster again:
SiteB is registered to SiteA
Non-replicated database will be started
Recovery after takeover:
Optionally clean up sbd slot for node 2
Start cluster framework on node 2
Wait until node 2 joins the cluster
10.2.2 Tests for Secondary Database or Node #
10.2.2.1 Test: Stop the Secondary Database on Site B (Node 2) #
Secondary Database
Stop secondary database on node 2 (site B)
Stop the secondary SAP HANA database as user <sid>adm
suse02# HDB stop
Cluster restarts Secondary on node 2 (site B)
Non-replicated database not affected on node 2 (site B)
Wait and see
Resource cleanup for site B
10.2.2.2 Test: Crash the Secondary Database on Site B (Node 2) #
Secondary Database
Crash secondary database on node 2 (site B)
Kill (send signal to) the secondary SAP HANA database as user <sid>adm
suse02# HDB kill-9
Cluster restarts Secondary on node 2 (site B)
Non-replicated database not affected on node 2 (site B)
Wait and see
Resource cleanup for site B
10.2.2.3 Test: Crash the Secondary Node on Site B (Node2) #
Cluster Node
Crash node 2 (site B)
Crash the node by proc-sysrq-trigger as user root
suse02# sync; echo b > /proc/sysrq-trigger
No takeover of node 2 resources to site A
Non-replicated database not available (no takeover to site A)
Recovery after node 2 is back:
Optionally clean up sbd slot for node 2
Start cluster framework on node 2
Wait until node 2 joins the cluster
10.2.3 Tests for Non-Replicated Database #
10.2.3.1 Test: Stop Non-Replicated Database on SiteB (Node 2) #
Non-Replicated Database
Stop non-replicated database node 2 (site B)
Kill (send signal to) the secondary SAP HANA database as user <sid>adm
suse02# HDB stop
Cluster restarts non-replicated database on node 2 (site B)
Secondary database is not affected
Clean up non-replicated database resource
10.2.3.2 Test: Crash Non-Replicated Database on Site B (Node 2) #
Non-Replicated Database
Crash non-replicated database on node 2 (site B)
Kill (send signal to) the non-replicated SAP HANA database as user <sid>adm
suse02# HDB kill-9
Cluster restarts non-replicated database on node 2 (site B)
Secondary database is not affected
Clean up non-replicated database resource
10.2.4 Tests for Other Components #
10.2.4.1 Test: Failure of Dedicated Replication LAN #
Replication Network
Pull LAN port down or block network packets for system replication, Corosync network still available.
System replication status fall down to status SFAIL
Primary stays on node 1 (site A)
No cluster takeover
Non-replicated database not affected on node 2 (site B)
Reestablish network connection
Wait until system replication status is SOK again
10.2.5 Test Maintenance Procedures #
Also, test the maintenance procedures mentioned in section Section 11.3, “Maintenance”.
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=”false”, AUTOMATED_REGISTER=”false” and DUPLICATE_PRIMARY_TIMEOUT=”7200”.
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.
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.
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 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 cost optimized scenario the use of HAWK should follow the guidance given in this guide.
11.2.2 SAP HANA Studio #
Database-specific administration and checks can be done with SAP HANA studio. 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.
Stack: corosync Current DC: suse01 (version 1.1.19+20180928.0d2680780-1.8-1.1.19+20180928.0d2680780) - partition with quorum Last updated: Fri Sep 13 11:55:12 2020 Last change: Fri Sep 13 11:55:06 2020 by root via crm_attribute on suse02 2 nodes configured 6 resources configured Online: [ suse01 suse02 ] Full list of resources: rsc_stonith_sbd (stonith:external/sbd): Started suse01 rsc_SAPInst_QAS_HDB20 (ocf::heartbeat:SAPInstance): Started suse02 Clone Set: cln_SAPHanaTopology_HA1_HDB10 [rsc_SAPHanaTopology_HA1_HDB10] Started: [ suse01 suse02 ] Master/Slave Set: msl_SAPHana_HA1_HDB10 [rsc_SAPHana_HA1_HDB10] Masters: [ suse01 ] Slaves: [ suse02 ] rsc_ip_HA1_HDB10 (ocf::heartbeat:IPaddr2): Started suse01
See the manual page crm_mon(8) for details. If you have installed the ClusterTools2 package, also have a look at manual pages cs_clusterstate(8) and cs_show_hana_info(8).
11.2.4 SAPHanaSR Command Line Tools #
To show some SAPHana or SAPHanaTopology resource agent internal
values, call the program SAPHanaSR-showAttr
. The internal
values, the storage location and their parameter names may change in a next
version of this document. The command SAPHanaSR-showAttr
will always fetch the values
from the correct storage location.
Do not use cluster commands like crm_attribute
to fetch the values
directly from the cluster. If you use such commands, your methods will be
broken when you need to move an attribute to a different storage place
or even out of the cluster. At first SAPHanaSR-showAttr is a test
program only and should not be used for automated system monitoring.
suse01:~ # SAPHanaSR-showAttr Host \ Attr clone_state remoteHost roles ... site srmode sync_state ... --------------------------------------------------------------------------------- suse01 PROMOTED suse02 4:P:master1:... WDF sync PRIM ... suse02 DEMOTED suse01 4:S:master1:... ROT sync SOK ...
SAPHanaSR-showAttr
also supports other output formats such as script. The script
format is intended to allow running filters. The SAPHanaSR package beginning with
version 0.153 additionally provides a filter engine SAPHanaSR-filter
. Combining
SAPHanaSR-showAttr
with output format script and SAPHanaSR-filter
, you can define
effective queries:
suse01:~ # SAPHanaSR-showAttr --format=script | \ SAPHanaSR-filter --search='remote' Mon Nov 11 20:55:45 2019; Hosts/suse01/remoteHost=suse02 Mon Nov 11 20:55:45 2019; Hosts/suse02/remoteHost=suse01
SAPHanaSR-replay-archive
can help to analyze the SAPHanaSR attribute values from
hb_report
(crm_report
) archives. This allows post mortem analyses.
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 | \ SAPHanaSR-filter --search='roles' --filterDouble Mon Nov 11 20:38:01 2019; Hosts/suse01/roles=4:P:master1:master:worker:master Mon Nov 11 20:38:01 2019; Hosts/suse02/roles=4:S:master1:master:worker:master Mon Nov 11 21:11:37 2019; Hosts/suse01/roles=1:P:master1::worker: Mon Nov 11 21:12:43 2019; Hosts/suse02/roles=4:P: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). See manual pages SAPHanaSR-showAttr(8), SAPHanaSR-replay-archive(8) and crm_report(8) for more information.
11.2.5 SAP HANA LandscapeHostConfiguration #
To check the status of an SAPHana database and to find out if the cluster should react, use the script landscapeHostConfiguration 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 SAPHana 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 the SUSE Linux Enterprise High Availability Extension, it is recommended to register your systems to either a local SUSE Manager, to the Subscription Management Tool (SMT), 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/12-SP4/html/SLES-all/smt-client.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 OS 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 Extension Administration Guide, chapter Upgrading Your Cluster and Updating Software Packages at https://documentation.suse.com/sle-ha/12-SP4/html/SLE-HA-all/cha-ha-migration.html
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
msl_SAPHana_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
11.3.3 Migrating an SAP HANA Primary #
In the following procedures we assume the primary runs on node1 and the secondary on node2. The goal is to "exchange" the roles of the nodes: the primary should then run on node2 and the secondary should run on node1.
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 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-name>
- 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 HANA database is stopped.
Start the takeover process on the secondary SAP HANA database system. Enter the command in our example on node2 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-name>
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-name> off
The following paragraphs explain how to use the cluster to partially automate the
migration. For the described attribute query using SAPHanaSR-showAttr
and
SAPHanaSR-filter
you need at least SAPHanaSR
with package version 0.153.
Create a "move away" from this node rule by using the force option.
crm resource move <multi-state-resource-name> 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.
NoteThe crm resource command move was previously named migrate. The migrate command is still valid but already known as obsolete.
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".suse01:~ # SAPHanaSR-showAttr --format=script | \ SAPHanaSR-filter --search='roles' Mon Nov 11 20:38:50 2019; Hosts/suse01/roles=1:P:master1::worker: Mon Nov 11 20:38:50 2019; Hosts/suse02/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-name>
NoteThe crm resource command clear was previously named unmigrate. The unmigrate command is still valid but already known as obsolete.
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".suse01:~ # SAPHanaSR-showAttr --format=script | \ SAPHanaSR-filter --search='roles' Mon Nov 11 20:38:50 2019; Hosts/suse01/roles=4:S:master1::worker: Mon Nov 11 20:38:50 2019; Hosts/suse02/roles=4:P:master1:master:worker:master
You should revert the SAP HANA roles back soon, to get the non-replicated database also up and running again.
11.3.4 Revert to Original SAP HANA Roles After Takeover to Secondary Site #
Register the former primary as new secondary as user <sid>adm.
suse01 > hdbnsutil -sr_register --name=WDF \ --remoteHost=suse02 --remoteInstance=10 \ --replicationMode=syncmem --operationMode=logreplay
Clean up the failcount for SAP HANA resource as user root.
# crm configure show rsc_SAPHana_HA1_HDB10 | grep AUTOMATED_REGISTER # crm resource cleanup msl_SAPHana_HA1_HDB10 suse01
Recover the SAP HANA global.ini back to initial state, as user <sid>adm.
suse02 > cdcoc suse02 > cp global.ini global.ini.bak suse02 > vi global.ini [memorymanager] global_allocation_limit = <size_in_mb_for_secondary_hana> ... [system_replication] preload_column_tables = false
Move the SAP HANA Primary back to suse01, as root user.
# crm resource move <multi-state-resource-name> force
Wait until the cluster has finished the transition and is idle. Then remove the migration constraint from CIB.
# crm resource clear <multi-state-resource-name>
11.4 Support #
There are two channels available for opening support requests. For issues which might also need SAP to investigate, the preferred method is to open an SAP ticket on support queue BC-OP-LNX-SUSE. See SAP note 1056161; find the link in Section 12.5, “SAP Notes”.
The other channel is to use the SUSE support only. SUSE customer center (SCC) is the central access point for managing support entitlements and for opening support requests. It is available at https://scc.suse.com/login.
More information on how to access support can be foud at https://www.suse.com/support/ and https://www.suse.com/support/faq/.
The SUSE Linux Enterprise Server for SAP Applications product documentation explains how to collect information usually needed during a support request: https://documentation.suse.com/sles/12-SP4/html/SLES-all/cha-adm-support.html.
See also manual pages crm_report(8), supportconfg(8), cs_show_hana_info(8), ha_related_suse_tids(7).
In addition, there are SUSE support Technical Information Documents (TIDs) available, for example:
Diagnostic Data Collection Master TID (7024037)
Indepth HANA Cluster Debug Data Collection (PACEMAKER, SAP) (7022702)
SLES for SAP - How To Engage SAP and SUSE to address Product Issues (7021182)
The SUSE support knowledgebase containing the TIDs is available at https://www.suse.com/support/kb/.
12 Useful Links, Manuals, and SAP Notes #
12.1 SUSE Best Practices and More #
- Best Practices for SAP on SUSE Linux Enterprise
- Blog series of articles under the tag #towardsZeroDowntime
- Blog article "SAP HANA Cost-optimized – An alternative Route is available"
https://suse.com/c/sap-hana-cost-optimized-an-alternative-route-is-available/
- Blog article "Fail-Safe Operation of SAP HANA®: SUSE Extends Its High Availability Solution"
12.2 SUSE Product Documentation #
- SUSE product manuals and documentation
- Current online documentation for SUSE Linux Enterprise Server for SAP Applications 12
- Current online documentation for SUSE Linux Enterprise High Availability Extension 12
- System Analysis and Tuning Guide for SUSE Linux Enterprise Server 12
https://documentation.suse.com/sles/12-SP4/html/SLES-all/book-sle-tuning.html
- Storage Administration Guide for SUSE Linux Enterprise Server 12
https://documentation.suse.com/sles/12-SP4/single-html/SLES-storage/#stor-admin
- Release notes
- TID Estimate correct multipath timeout
- TID How to load the correct watchdog kernel module
- TID Addressing file system performance issues on NUMA machines
- TID Overcommit Memory in SLES
- SUSE Linux Enterprise Tech Specs
- XFS file system
https://www.suse.com/communities/conversations/xfs-the-file-system-of-choice/
- SUSE YES certified hardware database
12.3 Manual Pages #
- crm
crm.8
- crm_simulate
crm_simulate.8
- cs_clusterstate
cs_clusterstate.8
- ocf_suse_SAPHana
ocf_suse_SAPHana.7
- ocf_suse_SAPHanaTopology
ocf_suse_SAPHanaTopology.7
- sbd
sbd.8
- stonith_sbd
stonith_sbd.7
- SAPHanaSR
SAPHanaSR.7
- SAPHanaSR-showAttr
SAPHanaSR-showAttr.8
- SAPHanaSR-replay-archive
SAPHanaSR-replay-archive.8
- SAPHanaSR_maintenance_examples
SAPHanaSR_maintenance_examples.8
12.4 SAP Product Documentation #
- SAP HANA Installation and Update Guide
http://help.sap.com/hana/SAP_HANA_Server_Installation_Guide_en.pdf
- SAP HANA Administration Guide
http://help.sap.com/hana/SAP_HANA_Administration_Guide_en.pdf
- SAP HANA and Persistent Memory
https://blogs.sap.com/2020/01/30/sap-hana-and-persistent-memory/
- SAP HANA HA/DR Provider Hook Methods
- SAP Product Availability Matrix
https://support.sap.com/en/release-upgrade-maintenance.html#section_1969201630
12.5 SAP Notes #
- 1056161 - SUSE Priority Support for SAP applications
- 1984787 - SUSE LINUX Enterprise Server 12: Installation notes
- 2205917 - SAP HANA DB: Recommended OS settings for SLES 12 / SLES for SAP Applications 12
- 1876398 - Network configuration for System Replication in HANA SP6
- 611361 - Hostnames of SAP servers
- 1275776 - Preparing SLES for Sap Environments
- 1514967 - SAP HANA: Central Note
- 1523337 - SAP In-Memory Database 1.0: Central Note
- 2380229 - SAP HANA Platform 2.0 - Central Note
- 1501701 - Single Computing Unit Performance and Sizing
- 1944799 - SAP HANA Guidelines for SLES Operating System Installation
- 1890444 - Slow HANA system due to CPU power save mode
- 1888072 - SAP HANA DB: Indexserver crash in strcmp sse42
- 1846872 - "No space left on device" error reported from HANA
13 Examples #
13.1 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 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)
13.2 Example Cluster Configuration #
The following example shows a complete crm configuration for a two-node cluster (suse01, suse02) and a replicated SAP HANA database with SID HA1 and instance number 10. The stand-alone database has SID QAS and instance number 20.The virtual IP address in the example is 192.168.1.20
node suse01 node suse02 primitive rsc_SAPHanaTopology_HA1_HDB10 ocf:suse:SAPHanaTopology \ op monitor interval=10 timeout=300 \ op start interval=0 timeout=300 \ op stop interval=0 timeout=300 \ params SID=HA1 InstanceNumber=10 primitive rsc_SAPHana_HA1_HDB10 ocf:suse:SAPHana \ op monitor interval=61 role=Slave timeout=700 \ op start interval=0 timeout=3600 \ op stop interval=0 timeout=3600 \ op promote interval=0 timeout=3600 \ op monitor interval=60 role=Master timeout=700 \ params SID=HA1 InstanceNumber=10 PREFER_SITE_TAKEOVER=false \ DUPLICATE_PRIMARY_TIMEOUT=7200 AUTOMATED_REGISTER=false primitive rsc_SAP_QAS_HDB20 ocf:heartbeat:SAPInstance \ params InstanceName="QAS_HDB20_sapqasdb" \ MONITOR_SERVICES="hdbindexserver|hdbnameserver" \ START_PROFILE="/usr/sap/QAS/SYS/profile/QAS_HDB20_sapqasdb" \ op start interval="0" timeout="600" \ op monitor interval="120" timeout="700" \ op stop interval="0" timeout="300" \ 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=30 ms msl_SAPHana_HA1_HDB10 rsc_SAPHana_HA1_HDB10 \ meta clone-max=2 clone-node-max=1 interleave=true clone cln_SAPHanaTopology_HA1_HDB10 rsc_SAPHanaTopology_HA1_HDB10 \ meta clone-node-max=1 interleave=true location loc_QAS_never_on_suse01 rsc_SAP_QAS_HDB20 -inf: suse01 colocation col_QAS_never_with_HA1ip -inf: rsc_SAP_QAS_HDB20:Started \ rsc_ip_HA1_HDB10 order ord_QASstop_before_HA1-promote Mandatory: rsc_SAP_QAS_HDB20:stop \ msl_SAPHana_HA1_HDB10:promote colocation col_saphana_ip_HA1_HDB10 2000: \ rsc_ip_HA1_HDB10:Started msl_SAPHana_HA1_HDB10:Master order ord_SAPHana_HA1_HDB10 Optional: \ cln_SAPHanaTopology_HA1_HDB10 msl_SAPHana_HA1_HDB10 property cib-bootstrap-options: \ cluster-infrastructure=corosync \ stonith-enabled=true \ stonith-action=reboot \ stonith-timeout=150s rsc_defaults rsc-options: \ resource-stickiness=1000 \ migration-threshold=3 op_defaults op-options \ timeout=600 \ record-pending=true
13.3 Example for /etc/corosync/corosync.conf #
The following file shows a typical corosync configuration with one ring. Review the SUSE product documentation about details and about additional rings.
# 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 } 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 nodeid: 1 } node { ring0_addr: 192.168.1.12 nodeid: 2 } } quorum { # Enable and configure quorum subsystem (default: off) # see also corosync.conf.5 and votequorum.5 provider: corosync_votequorum expected_votes: 2 two_node: 1 }
13.4 Examples for Alternate STONITH Methods #
13.4.1 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
13.4.2 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
13.4.3 srCostOptMemConfig #
This hook is given "as-is". It must be installed at node 2 as /hana/shared/srHook/srCostOptMemConfig.py to undo the changes to global_allocation_limit and preload_column_tables in case of a takeover.
#!/usr/bin/env python2 """ Sample for a HA/DR hook provider for method srPostTakeover(). When using your own code in here, please copy this file to location on /hana/shared outside the HANA installation. To configure your own changed version of this file, please add to your global.ini lines similar to this: [ha_dr_provider_<className>] provider = <className> path = /hana/shared/srHook/ execution_order = 2 For all hooks, 0 must be returned in case of success. Set the following variables: * dbinst Instance Number [e.g. 00 - 99 ] * dbuser Username [ e.g. SYSTEM ] * dbpwd * user password [ e.g. SLES4sap ] * dbport port where db listens for SQL connctions [e.g 30013 or 30015] """ # # parameter section # dbuser="SYSTEM" dbpwd="<yourPassword1234>" dbinst="00" dbport="30013" # # prepared SQL statements to remove memory allocation limit # and pre-load of column tables # stmnt1 = "ALTER SYSTEM ALTER CONFIGURATION ('global.ini','SYSTEM') UNSET ('memorymanager','global_allocation_limit') WITH RECONFIGURE" stmnt2 = "ALTER SYSTEM ALTER CONFIGURATION ('global.ini','SYSTEM') UNSET ('system_replication','preload_column_tables') WITH RECONFIGURE" # # loading classes and libraries # import os, time, dbapi from hdb_ha_dr.client import HADRBase, Helper # # class definition srCostOptMemConfig # class srCostOptMemConfig(HADRBase): def __init__(self, *args, **kwargs): # delegate construction to base class super(srCostOptMemConfig, self).__init__(*args, **kwargs) def about(self): return {"provider_company" : "<customer>", "provider_name" : "srCostOptMemConfig", # provider name = class name "provider_description" : "Replication takeover script to set parameters to default.", "provider_version" : "1.0"} def postTakeover(self, rc, **kwargs): """Post takeover hook.""" self.tracer.info("%s.postTakeover method called with rc=%s" % (self.__class__.__name__, rc)) if rc == 0: # normal takeover succeeded conn = dbapi.connect('localhost',dbport,dbuser,dbpwd) cursor = conn.cursor() cursor.execute(stmnt1) cursor.execute(stmnt2) return 0 elif rc == 1: # waiting for force takeover conn = dbapi.connect('localhost',dbport,dbuser,dbpwd) cursor = conn.cursor() cursor.execute(stmnt1) cursor.execute(stmnt2) return 0 elif rc == 2: # error, something went wrong return 0
14 Legal notice #
Copyright © 2006–2024 SUSE LLC and contributors. All rights reserved.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or (at your option) version 1.3; with the Invariant Section being this copyright notice and license. A copy of the license version 1.2 is included in the section entitled "GNU Free Documentation License".
SUSE, the SUSE logo and YaST are registered trademarks of SUSE LLC in the United States and other countries. For SUSE trademarks, see https://www.suse.com/company/legal/.
Linux is a registered trademark of Linus Torvalds. All other names or trademarks mentioned in this document may be trademarks or registered trademarks of their respective owners.
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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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.