SAP HANA alert monitoring is used to monitor the status of system resources and services that are running in the HANA system. Alert monitoring is used to handle critical alerts like CPU usage, disk full, FS reaching threshold, etc. The monitoring component of HANA system continuously collects information about health, usage and performance of all the components of HANA database. It raises an alert when any of the component breaches the set threshold value.

The priority of alert raised in HANA system tells the criticality of problem and it depends on the check that is performed on the component. Example − If CPU usage is 80%, a low priority alert will be raised. However, if it reaches 96%, system will raise a high priority alert.

The System Monitor is the most common way to monitor HANA system and to verify the availability of all your SAP HANA system components. System monitor is used to check all key component and services of a HANA system.

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You can also drill down into details of an individual system in Administration Editor. It tells about Data Disk, Log disk, Trace Disk, alerts on resource usage with priority.

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Alert tab in Administrator editor is used to check the current and all alerts in HANA system.

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It also tells about the time when an alert is raised, description of the alert, priority of the alert, etc.

SAP HANA monitoring dashboard tells the key aspects of system health and configuration −

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High and Medium priority alerts.
Memory and CPU usage
Data backups

SAP HANA – Persistent Layer

SAP HANA database persistence layer is responsible to manage logs for all the transactions to provide standard data back up and system restore function.

It ensures that database can be restored to the most recent committed state after a restart or after a system crash and transactions are executed completely or completely undone. SAP HANA Persistent Layer is part of Index server and it has data and transaction log volumes for HANA system and in-memory data is regularly saved to these volumes. There are services in HANA system that has their own persistence. It also provides save points and logs for all the database transactions from the last save point.

Why does SAP HANA database need a Persistent Layer?

Main memory is volatile therefore data is lost during a restart or power outage.
Data needs to be stored in persisted medium.
Backup & Restore is available.
It ensures that the database is restored to the most recent committed state after a restart and that transaction are either completely executed or completely undone.

Data and Transaction Log Volumes

Database can always be restored to its most recent state, to ensure these changes to data in the database are regularly copied to disk. Log files containing data changes and certain transaction events are also saved regularly to disk. Data and logs of a system are stored in Log volumes.

Data volumes stores SQL data and undo log information and also SAP HANA information modeling data. This information is stored in data pages, which are called Blocks. These blocks are written to data volumes at regular time interval, which is known as save point.

Log volumes store the information about data changes. Changes that are made between two log points are written to Log volumes and called log entries. They are saved to log buffer when transaction is committed.
Savepoints
In SAP HANA database, changed data is automatically saved from memory to disk. These regular intervals are called savepoints and by default they are set to occur every five minutes. Persistence Layer in SAP HANA database performs these savepoint at regular interval. During this operation changed data is written to disk and redo logs are also saved to disk as well.

The data belonging to a Savepoint tells consistent state of the data on disk and remains there until the next savepoint operation has completed. Redo log entries are written to the log volumes for all changes to persistent data. In the event of a database restart, data from the last completed savepoint can be read from the data volumes, and redo log entries written to the log volumes.

Frequency of savepoint can be configured by global.ini file. Savepoints can be initiated by other operations like database shut down or system restart. You can also run savepoint by executing the below command −
ALTER System SAVEPOINT
To save data and redo logs to log volumes, you should ensure that there is enough disk space available to capture these, otherwise the system will issue a disk full event and database will stop working.

During the HANA system installation, following default directories are created as the storage location for data and log volumes −

/usr/sap/<SID>/SYS/global/hdb/data
/usr/sap/<SID>/SYS/global/hdb/log

These directories are defined in global.ini file and can be changed at later stage.

Note that Savepoints do not affect the performance of transactions executed in HANA system. During a savepoint operation, transactions continue to run as normal. With HANA system running on proper hardware, impact of savepoints on the performance of system is negligible.

So, this brings us to the end of blog. This Tecklearn ‘Alert Monitoring and Logging in SAP Hana’ blog helps you with commonly asked questions if you are looking out for a job in SAP Hana and SAP Domain. If you wish to learn SAP Hana and build a career in SAP domain, then check out our interactive, SAP HANA Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/sap-hana-training-certification/

SAP HANA Training

About the Course

SAP HANA is an in-memory computing application that is designed and developed to boost the business processes, deliver smart solutions, and simplify both hardware and software environments. Our Sap Hana Training course will help you understand and learn the fundamentals and will also felicitate on training hands-on for the better grasp on the course. Further, we have the highly qualified professionals who will train you about Sap Hana Studio, Modelling, Security features and its various other aspects. You will understand why SAP HANA is a fundamentally different database engine upon the completion of this SAP HANA course.

Why Should you take SAP HANA Training?

The average Sap Hana Consultant salary $165,750 per year or $85 per hour. (neuvoo.com).
SAP HANA is the highest growing technology; hence, there is no surprise in plenty of career opportunities in this field. Since it is one among the fastest-growing products in the history of SAP, it is considered by the industries as a ground-breaking key for in-memory databases.
SAP HANA currently has more than 6,500 customers globally.

What you will Learn in this Course?

Introduction to SAP HANA

Fundamentals of SAP HANA
Capabilities of SAP HANA
Limitations of SAP HANA

Key Features of SAP HANA

Key Features: High Performance functionalities In-Memory computing, Columnar store database, Data Compression and Massive Parallel Processing
Using SAP HANA for Non-SAP Applications

Architecture of SAP HANA

Detailed Architecture of SAP HANA Database
Concept of SAP HANA Landscapes and Scenarios

Overview of HANA Studio

SAP HANA System – Perspectives, Administration, Modelling, Development Plan
HANA Database SQL Basics and Database SQL Script
Types of statements and data types
Operators, expressions and basic query execution
Sub-queries, Types of Joins, Expressions and Loops
Catalog – Schema, Table, Views, Functions, Stored Procedures, Index, Synonyms, Sequences, Triggers

Data Provisioning

Data Provisioning with Flat File upload
Provisioning – SDA (Smart Data Access)
Joins Types in HANA

SAP HANA Modelling

Types of Models
Attribute Views, Joins and Using Filter Operations
Creating Restricted and Calculated Columns
Using Hierarchies
Analytic Views – Star Schema design and Multi-Dimensional Modelling
Variables and Input parameters

Calculation Views

Dimension Calculation View
Information View
SAP HANA Variables
Introduction to Input Parameters

SAP Project

Using HANA analytical view building of COPA (Controlling and Profitability Analysis) model
SAP HANA COPA for evaluation of market segments and classification of markets according to the products, customers or any combination of it

Dimension Calculation View

Dimension Calculation View – Star Join Calculation view
Using Projection, Join, Aggregation, Union and Rank

In-depth Modelling

Refactoring information models
Schema Mapping
Propagate to schematics and Show Lineage
Schema Mapping
Generating Time Data
Union Pruning
Using Time Travel
Migrating deprecated Information models
Using Currency Conversion
Web based Modelling Work bench

Analytic Privileges and Decision Tables

Classical Analytic Privileges
SQL Analytic Privileges
Dynamic analytic Privileges.
Turning Business Rules into Decision tables
Table Functions

SAP HANA Table Function

Query Optimizing Technique related to SAP HANA Tables
Web Based Modelling work bench

SAP HANA on Cloud

SAP Analytics with SAP Reporting environment SAP BOBJ – tools, WEBI, LUMIRA, DASHBOARD (integration between sap Hana and bob)

Advanced Topics Overview

SAP HANA Dynamic tiering
Delta Merge
SDI (Smart Data Integration)
SDA (Smart Data Access)

DATA Provisioning

SLT – SAP Landscape Transformation
BODS – Business Objects Data Services

Analytical Privileges

Classical XML Based Analytical Privileges
SQL Analytical Privileges

HANA Administration and Security

Hana Administration
Security in SAP HANA – User Management

Got a question for us? Please mention it in the comments section and we will get back to you.

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