Google Cloud provides a custom monitoring agent that collects custom metrics from SAP HANA and sends them to Cloud Monitoring, a monitoring solution built into Google Cloud. With Cloud Monitoring, you can build out dashboards to visualize your SAP HANA metrics and set up alerts based on metric thresholds. For more information, see the Cloud Monitoring documentation.
For a description of the metrics that version 1 of the monitoring agent collects from SAP HANA, see Default metrics and queries in V1.0.
Prerequisites
This guide assumes that you have deployed SAP HANA on Google Cloud using the method described in the SAP HANA Deployment Guide.
Setting the required IAM roles
By default, the monitoring agent uses your Compute Engine virtual machine (VM) instance's default service account. This service account allows binaries running on the VM instance to write metrics to Monitoring.
If you choose to use a different service account, you must manually add the IAM role that provides these permissions to your service account.
To add the required IAM role to your service account:
Go to the IAM & Admin page in the Google Cloud console.
Select your project and click Continue.
Identify the service account to which you want to add a role.
- If the service account isn't already on the principals list, it doesn't have any roles assigned to it. Click Add principal and enter the email address of the service account.
- If the service account is already on the principals list, it has existing roles. Click the current role dropdown list for the service account that you want to edit.
Select Monitoring > Monitoring Metric Writer from the list of available roles.
Click Add or Save to apply the roles to the service account.
Installing the agent
Choosing a deployment location
The monitoring agent can be run directly on one or more nodes in your SAP HANA installation, or indirectly as a service on another VM instance. Choose your deployment location based on your use case.
Downloading and installing the agent
To download and install the agent:
- Establish an SSH connection with your SAP HANA VM instance.
Download and run the installation script:
sudo curl https://storage.googleapis.com/gcm-ext/gcm_install.sh | bash -x
When you run the preceding command, the installation script performs the following operations:Creates the following directories:
/usr/local/lib/gcm
, which will contain the agent binary./etc/gcm.d
, which will contain the queries you want the agent to run./var/spool/gcm
, which contains the metrics that have recently been gathered by the agent. The agent eventually sends these metrics to Cloud Monitoring. After metrics are sent, they are deleted from/var/spool/gcm
.
Downloads the latest release of the agent and saves it to
/usr/local/lib/gcm/
.Creates a symlink to the binary in
/usr/local/bin/gcm
.Creates a basic configuration template,
/etc/default/gcm
.Creates a daemon configuration file,
/etc/systemd/system/gcm.service
.Reloads the
systemd
service definitions.Enables the monitoring agent as a daemon.
Updating the agent
Checking for a new version of the agent
Check the version of your agent:
gcm --version
Check if an update is available:
curl https://storage.googleapis.com/gcm-ext/LATEST
Downloading and updating the agent
To update the agent when a new version is available, follow these steps:
Stop the agent process:
sudo systemctl stop gcm
Update the agent with the following command. The
-C
and-U
options skip the creation of the default configuration file and Linux systemd service definition for the agent:sudo curl https://storage.googleapis.com/gcm-ext/gcm_install.sh | bash -s -- -C -U
Start the agent:
sudo systemctl start gcm
Configuring the agent
After running the install script, configure the VM instances that the agent will monitor and, optionally, the queries that the agent will perform on your database.
Defining the configuration file
When you ran the installation script, it created a configuration template file at the following location:
/etc/default/gcm
Using the configuration file, you can configure the agent to query SAP HANA on one or more VM instances. For each VM instance you want to monitor:
- Add a VM instance definition in the configuration file under
instances
. For each instance, define the name, host, port, user, and password. - To enable the agent to collect metrics from that VM instance, add the VM
instance name under
enabled_instances
.
Define the attributes in the configuration by using the following format:
--- config: timestamps_in_output: no debug_messages: yes skip_default_queries: yes queries_directory: /etc/gcm.d spool_directory: /var/spool/gcm enabled_instances: - [INSTANCE_NAME] - [INSTANCE_NAME_2] project_id: [PROJECT_ID] instances: - name: [INSTANCE_NAME] host: [INSTANCE_IP] port: [PORT_NUMBER] user: [DB_USERNAME] password: [YOUR_PASSWORD] type: [INSTANCE_TYPE] - name: [INSTANCE_NAME_2] host: [INSTANCE_IP_2] ...
The following attributes are required in the configuration file:
[PROJECT_ID]
: The ID of the Google Cloud project that contains the VM instances to be monitored. Specify only one project ID.[INSTANCE_NAME]
: The name of the Compute Engine VM instance you want to monitor.[INSTANCE_IP]
: The internal or external IP of the Compute Engine VM instance you want to monitor. We recommend using internal IPs if possible, because they require less setup than external IPs and are private and secure by default.[DB_USERNAME]
: The SAP HANA database user that you want to use.[PORT_NUMBER]
: The port number of your SAP HANA database. Usually, the port number is39015
for SAP HANA Express or30015
for SAP HANA Platform Edition.[YOUR_PASSWORD]
: The user password for your database user.[INSTANCE_TYPE]
: Entersap_hana
for this field.
Optionally, you can configure the agent using the following flags. These
parameters flags must be set before the config
item:
timestamps_in_output
(boolean). If you're running the agent as a daemon undersystemd
, set this tono
, assystemd
provides timestamps. Default value isno
.debug_messages
(boolean): If set, show debug messages. Default value isyes
.skip_default_queries
(boolean): Skips the default set of queries. Does not affect user-defined queries. Default value isno
.queries_directory
(string): The directory in which to look for user-defined queries. Default value is/etc/gcm.d
.spool_directory
(string): The directory in which to collect spooled metrics. Default value is/var/spool/gcm
.
Defining custom queries
By default, the agent gathers a default set of metrics from your SAP HANA database. For descriptions of these metrics, as well as the queries that generate the metrics, see Default metrics and queries in V1.0.
You can add additional queries by creating one or more custom YAML files in the following directory:
/etc/gcm.d
The following is an example query file:
- root: by_component type: sap_hana description: | Amount of memory (in MiB) used by service components query: | SELECT HOST AS "host", COMPONENT AS "component", SUM(USED_MEMORY_SIZE)/1024/1024 AS "mem_used_mb" FROM M_SERVICE_COMPONENT_MEMORY GROUP BY HOST, COMPONENT; columns: - type: LABEL value_type: STRING name: host - type: LABEL value_type: STRING name: component - type: GAUGE description: Amount of memory (in MiB) used by the service component value_type: DOUBLE name: mem_used_mb
Each YAML file comprises one or more items that represent the results of a given SQL query into your SAP HANA database's metrics. Each item has the following attributes:
root
: A descriptive namespace for a given group of metrics.query
: The SQL query.columns
: The data type, value type, and column name for each field in the query.type
: Describes how the data is reported to Monitoring. You can settype
toLABEL
, which indicates that the type is a column head, or toGAUGE,
one of the metric types defined in the Monitoring API'sMetricKind
enum. Currently,GAUGE
is the only metric type supported by the agent.value_type
: The value type of the metric. The value of this parameter can be any of the value types defined in the Monitoring API'sValueType
enum.name
: The name of the column.
For a full list of the system views that SAP HANA makes available for querying, see the SAP HANA SQL and System Views Reference.
Query results are limited to 1,000 records. Use SQL aggregate functions like SUM, AVG, COUNT, MIN and MAX to limit the number of records returned.
Performing basic operations
This section describes how to perform basic operations with the SAP HANA
monitoring agent. For a full list of configurable options, run gcm --help
.
Managing the monitoring agent daemon
When you ran the installation script, the installer created a
systemd
unit file for the agent, allowing you to manage the agent using
standard systemctl
commands. The following commands start, stop, and poll the
status of the agent, respectively:
sudo systemctl start gcm
sudo systemctl stop gcm
sudo systemctl status gcm
To read the logs generated by systemctl
, query the contents of the systemd
journal by using the following command:
sudo journalctl -u gcm
To see the last few lines that were logged, you can add
the -f
flag, which functions like a pipe to tail -f
:
sudo journalctl -u gcm -f
Suppressing default queries
By default, the agent runs its default queries in addition to any custom queries
you've defined. You can disable this default set of queries by setting the
skip_default_queries
flag to yes
in your config file, or by setting the
--no-defaults
flag when running the tool manually. For more information, see
Defining the configuration file.
Manually collecting and sending metrics
To verify that the agent works as expected, you can manually run commands to run your queries, collect the resulting metrics, and then send them to Cloud Monitoring. To run your queries and collect the resulting metrics exactly once, run the following command:
sudo gcm gather
This command also sends your collected metrics to Cloud Monitoring.
Viewing your metrics in Cloud Monitoring
To display the metrics collected by Cloud Monitoring in your own charts and dashboards:
In the Google Cloud console, go to the Monitoring page.
Select Dashboards > Create Dashboard.
Click Add Chart.
In the Resource Type menu, select Custom Metrics.
In the Metric menu, select by_component/mem_used_mb. Leave the other fields with their default values. You see the chart data in the Preview section of the panel.
Click Save.
You now have a simple dashboard displaying live metrics from your SAP HANA VM instance or instances.
Troubleshooting
Default queries are failing
Make sure that your SAP HANA database user has access to the following SAP HANA system views:
M_CS_ALL_COLUMNS
M_CS_TABLES
M_EXPENSIVE_STATEMENTS
M_HOST_RESOURCE_UTILIZATION
M_SERVICE_COMPONENT_MEMORY
M_SERVICE_MEMORY
Metrics are not being sent to Cloud Monitoring
Make sure that your Google Cloud service account has permission to write metrics to Cloud Monitoring. For details, see Setting the required IAM roles.
Support
For issues with Google Cloud infrastructure or services, contact Customer Care. You can find contact information on the Support Overview page in the Google Cloud console. If Customer Care determines that a problem resides in your SAP systems, you are referred to SAP Support.
For SAP product-related issues, log your support request with SAP support. SAP evaluates the support ticket and, if it appears to be a Google Cloud infrastructure issue, transfers the ticket to the Google Cloud component BC-OP-LNX-GOOGLE or BC-OP-NT-GOOGLE.
Support requirements
Before you can receive support for SAP systems and the Google Cloud infrastructure and services that they use, you must meet the minimum support plan requirements.
For more information about the minimum support requirements for SAP on Google Cloud, see:
- Getting support for SAP on Google Cloud
- SAP Note 2456406 (An SAP user account is required)
Default metrics and queries in V1.0
This section describes the metrics that version 1.0 of the monitoring agent for SAP HANA collects by default and the queries that the agent uses to collect the metrics.
Total memory utilization by services
Metric | Description |
---|---|
instance/mem_used_mb | Amount of memory from the memory pool (in MiB) currently in use by all services |
instance/resident_mem_used_mb | Amount of memory (in MiB) used in total by all the services |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
SUM(TOTAL_MEMORY_USED_SIZE)/1024/1024 AS "mem_used_mb",
SUM(PHYSICAL_MEMORY_SIZE)/1024/1024 AS "resident_mem_used_mb"
FROM M_SERVICE_MEMORY;
Total amount of memory used by all column tables
Metric in Cloud Monitoring | Description |
---|---|
instance/table_mem_used_mb | Amount of memory (in MiB) used in total (sum of memory size in the main, delta, and history parts) by all column-tables |
The Google monitoring agent for SAP HANA uses the following query to collect the above metric from SAP HANA:
SELECT
SUM(MEMORY_SIZE_IN_TOTAL)/1024/1024 AS "table_mem_used_mb"
FROM M_CS_TABLES;
Resource utilization by host
Metric | Description |
---|---|
by_server/mem_available_percent | Amount of memory available to processes (in MiB) |
by_server/mem_total_mb | Total amount of memory (in MiB) on the server |
by_server/mem_available_mb | Free physical memory (in MiB) on the host |
by_server/mem_used_mb | Used physical memory (in MiB) on the host |
by_server/swap_avail_mb | Free swap memory (in MiB) on the host |
by_server/swap_used_mb | Used swap memory (in MiB) on the host |
by_server/instance_mem_used_mb | Amount from the memory pool (in MiB) that is used by instance processes |
by_server/peak_instance_mem_used_mb | Peak amount from the memory pool (in MiB) that has been used by instance processes |
by_server/instance_mem_pool_size_mb | Size of the memory pool (in MiB) for all instance processes |
by_server/instance_code_size_mb | Code size (in MiB), including shared libraries of instance processes |
by_server/instance_shared_size_mb | Shared memory size of instance processes |
by_server/cpu_user_time_msec | CPU time spent (in ms) in user mode |
by_server/cpu_sys_time_msec | CPU time spent (in ms) in kernel mode |
by_server/cpu_wait_io_time_msec | CPU time spent (in ms) in wait IO |
by_server/cpu_idle_time_msec | CPU idle time (in ms) |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
HOST AS "host",
FREE_PHYSICAL_MEMORY/(FREE_PHYSICAL_MEMORY + USED_PHYSICAL_MEMORY)*100 AS "mem_available_percent",
(FREE_PHYSICAL_MEMORY + USED_PHYSICAL_MEMORY)/1024/1024 AS "mem_total_mb",
FREE_PHYSICAL_MEMORY/1024/1024 AS "mem_available_mb",
USED_PHYSICAL_MEMORY/1024/1024 AS "mem_used_mb",
FREE_SWAP_SPACE/1024/1024 AS "swap_avail_mb",
USED_SWAP_SPACE/1024/1024 AS "swap_used_mb",
INSTANCE_TOTAL_MEMORY_USED_SIZE/1024/1024 AS "instance_mem_used_mb",
INSTANCE_TOTAL_MEMORY_PEAK_USED_SIZE/1024/1024 AS "peak_instance_mem_used_mb",
INSTANCE_TOTAL_MEMORY_ALLOCATED_SIZE/1024/1024 AS "instance_mem_pool_size_mb",
INSTANCE_CODE_SIZE/1024/1024 AS "instance_code_size_mb",
INSTANCE_SHARED_MEMORY_ALLOCATED_SIZE/1024/1024 AS "instance_shared_size_mb",
TOTAL_CPU_USER_TIME AS "cpu_user_time_msec",
TOTAL_CPU_SYSTEM_TIME AS "cpu_sys_time_msec",
TOTAL_CPU_WIO_TIME AS "cpu_wait_io_time_msec",
TOTAL_CPU_IDLE_TIME AS "cpu_idle_time_msec"
FROM M_HOST_RESOURCE_UTILIZATION;
Amount of memory used by service components
Metric | Description |
---|---|
by_component/mem_used_mb | Amount of memory from the memory pool (in MiB) currently in use |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
HOST AS "host",
COMPONENT AS "component",
SUM(USED_MEMORY_SIZE)/1024/1024 AS "mem_used_mb"
FROM M_SERVICE_COMPONENT_MEMORY
GROUP BY HOST, COMPONENT;
Memory utilization by services
Metric | Description |
---|---|
by_service/mem_used_mb | Virtual memory size (in MiB) |
by_service/virtual_mem_used_mb | Physical memory size (in MiB) |
by_service/resident_mem_used_mb | Code size (in MiB), including shared libraries |
by_service/code_size_mb | Stack size (in MiB) |
by_service/stack_size_mb | Heap part of memory pool (in MiB) |
by_service/heap_mem_allocated_mb | Amount of pool heap memory in use (in MiB) |
by_service/shared_mem_allocated_mb | Shared memory part of memory pool (in MiB) |
by_service/shared_mem_used | Amount of pool shared memory in use (in MiB) |
by_service/compactors_allocated_mb | Part of the memory pool (in MiB) that can potentially be freed on memory shortage |
by_service/compactors_freeable_mb | Memory which can actually be freed (in MiB) on memory shortage |
by_service/max_mem_pool_size_mb | Maximum configured memory pool size (in MiB) |
by_service/effective_max_mem_pool_size_mb | Effective maximum memory pool size (in MiB) |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
HOST AS "host",
PORT AS "port",
SERVICE_NAME AS "service",
TOTAL_MEMORY_USED_SIZE/1024/1024 AS "mem_used_mb",
LOGICAL_MEMORY_SIZE/1024/1024 AS "virtual_mem_used_mb",
PHYSICAL_MEMORY_SIZE/1024/1024 AS "resident_mem_used_mb",
CODE_SIZE/1024/1024 AS "code_size_mb",
STACK_SIZE/1024/1024 AS "stack_size_mb",
HEAP_MEMORY_ALLOCATED_SIZE/1024/1024 AS "heap_mem_allocated_mb",
HEAP_MEMORY_USED_SIZE/1024/1024 AS "heap_mem_used_mb",
SHARED_MEMORY_ALLOCATED_SIZE/1024/1024 AS "shared_mem_allocated_mb",
SHARED_MEMORY_USED_SIZE/1024/1024 AS "shared_mem_used",
COMPACTORS_ALLOCATED_SIZE/1024/1024 AS "compactors_allocated_mb",
COMPACTORS_FREEABLE_SIZE/1024/1024 AS "compactors_freeable_mb",
ALLOCATION_LIMIT/1024/1024 AS "max_mem_pool_size_mb",
EFFECTIVE_ALLOCATION_LIMIT/1024/1024 AS "effective_max_mem_pool_size_mb"
FROM M_SERVICE_MEMORY;
Runtime data for column tables by schema
Metric | Description |
---|---|
by_schema/mem_total_mb | Total memory used (in MiB) by main, delta, and history parts |
by_schema/mem_main_mb | Current memory consumption (in MiB) in main |
by_schema/mem_delta_mb | Current memory consumption (in MiB) in delta |
by_schema/mem_hist_main_mb | Current memory consumption (in MiB) in history-main |
by_schema/mem_hist_detla_mb | Current memory consumption (in MiB) in history-delta |
by_schema/est_max_mem_total_mb | Estimated maximum memory consumption (in MiB) |
by_schema/records | Record count |
by_schema/records_main | Number of records in the main part of the tables in the schema |
by_schema/records_delta | Number of records in the delta part of the tables in the schema |
by_schema/records_hist_main | Number of records in the history-main part of the tables in the schema |
by_schema/records_hist_delta | Number of records in the history-delta part of the tables in the schema |
by_schema/last_compressed_record_count | Number of entries in main during the last optimize compression run |
by_schema/reads | Number of read accesses |
by_schema/writes | Number of write accesses |
by_schema/merges | Number of delta merges |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
HOST AS "host",
PORT AS "port",
SCHEMA_NAME AS "schema",
SUM(MEMORY_SIZE_IN_TOTAL)/1024/1024 AS "mem_total_mb",
SUM(MEMORY_SIZE_IN_MAIN)/1024/1024 AS "mem_main_mb",
SUM(MEMORY_SIZE_IN_DELTA)/1024/1024 AS "mem_delta_mb",
SUM(MEMORY_SIZE_IN_HISTORY_MAIN)/1024/1024 AS "mem_hist_main_mb",
SUM(MEMORY_SIZE_IN_HISTORY_DELTA)/1024/1024 AS "mem_hist_delta_mb",
SUM(ESTIMATED_MAX_MEMORY_SIZE_IN_TOTAL)/1024/1024 AS "est_max_mem_total_mb",
SUM(RECORD_COUNT) AS "records",
SUM(RAW_RECORD_COUNT_IN_MAIN) AS "records_main",
SUM(RAW_RECORD_COUNT_IN_DELTA) AS "records_delta",
SUM(RAW_RECORD_COUNT_IN_HISTORY_MAIN) AS "records_hist_main",
SUM(RAW_RECORD_COUNT_IN_HISTORY_DELTA) AS "records_hist_delta",
SUM(LAST_COMPRESSED_RECORD_COUNT) AS "last_compressed_record_count",
SUM(READ_COUNT) AS "reads",
SUM(WRITE_COUNT) AS "writes",
SUM(MERGE_COUNT) AS "merges"
FROM M_CS_TABLES
GROUP BY HOST, PORT, SCHEMA_NAME;
Statements with a duration longer than instance-configured threshold
Metric | Description |
---|---|
expensive_statements/duration_msec | Time elapsed (in ms) during execution of the statement |
expensive_statements/records | Number of records |
expensive_statements/lock_waits | Accumulated lock wait count |
expensive_statements/lock_duration_msec | Accumulated lock wait duration (in ms) |
expensive_statements/cpu_time_msec | CPU time (in ms) consumed to compute the statement |
The Google monitoring agent for SAP HANA uses the following query to collect the above metrics from SAP HANA:
SELECT
HOST AS "host",
PORT AS "port",
CONNECTION_ID AS "connection_id",
TRANSACTION_ID AS "transaction_id",
STATEMENT_HASH AS "statement_hash",
DB_USER AS "db_user",
SCHEMA_NAME AS "schema",
APP_USER AS "app_user",
ERROR_CODE AS "error_code",
DURATION_MICROSEC/1000 AS "duration_msec",
RECORDS AS "records",
LOCK_WAIT_COUNT AS "lock_waits",
LOCK_WAIT_DURATION/1000 AS "lock_duration_msec",
CPU_TIME/1000 AS "cpu_time_msec"
FROM M_EXPENSIVE_STATEMENTS;