Get metrics from Oracle Database servers in real time to visualize and monitor availability and performance.
To use the Oracle integration, either install the Oracle Instant Client libraries, or download the Oracle JDBC driver (Linux only). Due to licensing restrictions, these libraries are not included in the Datadog Agent, but can be downloaded directly from Oracle.
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Follow the Oracle Instant Client installation for Linux.
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Verify the following:
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Both the Instant Client Basic and SDK packages are installed. Find them on Oracle's download page.
After the Instant Client libraries are installed, ensure the runtime linker can find the libraries. For example, using
ldconfig:# Put the library location in an ld configuration file. sudo sh -c "echo /usr/lib/oracle/12.2/client64/lib > \ /etc/ld.so.conf.d/oracle-instantclient.conf" # Update the bindings. sudo ldconfig
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Both packages are decompressed into a single directory that is available to all users on the given machine (for example,
/opt/oracle):mkdir -p /opt/oracle/ && cd /opt/oracle/ unzip /opt/oracle/instantclient-basic-linux.x64-12.1.0.2.0.zip unzip /opt/oracle/instantclient-sdk-linux.x64-12.1.0.2.0.zip
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Follow the Oracle Windows installation guide to configure your Oracle Instant Client.
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Verify the following:
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The Microsoft Visual Studio 2017 Redistributable or the appropriate version is installed for the Oracle Instant Client.
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Both the Instant Client Basic and SDK packages from Oracle's download page are installed.
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Both packages are extracted into a single directory that is available to all users on the given machine (for example,
C:\oracle).
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NOTE: This method only works on Linux.
Java 8 or higher is required on your system for JPype, one of the libraries used by the Agent when using JDBC driver.
Once it is installed, complete the following steps:
- Download the JDBC Driver JAR file.
- Add the path to the downloaded file in your
$CLASSPATHor the check configuration file underjdbc_driver_path(see the sample oracle.yaml).
Create a read-only datadog user with proper access to your Oracle Database Server. Connect to your Oracle database with an administrative user, such as SYSDBA or SYSOPER, and run:
-- Enable Oracle Script.
ALTER SESSION SET "_ORACLE_SCRIPT"=true;
-- Create the datadog user. Replace the password placeholder with a secure password.
CREATE USER datadog IDENTIFIED BY <PASSWORD>;
-- Grant access to the datadog user.
GRANT CONNECT TO datadog;
GRANT SELECT ON GV_$PROCESS TO datadog;
GRANT SELECT ON gv_$sysmetric TO datadog;
GRANT SELECT ON sys.dba_data_files TO datadog;
GRANT SELECT ON sys.dba_tablespaces TO datadog;
GRANT SELECT ON sys.dba_tablespace_usage_metrics TO datadog;
Note: If you're using Oracle 11g, there's no need to run the following line:
ALTER SESSION SET "_ORACLE_SCRIPT"=true;
Log in to the root database as an Administrator to create a datadog user and grant permissions:
alter session set container = cdb$root;
CREATE USER c##datadog IDENTIFIED BY password CONTAINER=ALL;
GRANT CREATE SESSION TO c##datadog CONTAINER=ALL;
Grant select any dictionary to c##datadog container=all;
GRANT SELECT ON GV_$PROCESS TO c##datadog CONTAINER=ALL;
GRANT SELECT ON gv_$sysmetric TO c##datadog CONTAINER=ALL;
To configure this check for an Agent running on a host:
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Edit the
oracle.d/conf.yamlfile, in theconf.d/folder at the root of your Agent's configuration directory. Update theserverandportto set the masters to monitor. See the sample oracle.d/conf.yaml for all available configuration options.init_config: instances: ## @param server - string - required ## The IP address or hostname of the Oracle Database Server. # - server: localhost:1521 ## @param service_name - string - required ## The Oracle Database service name. To view the services available on your server, ## run the following query: `SELECT value FROM v$parameter WHERE name='service_names'` # service_name: <SERVICE_NAME> ## @param username - string - required ## The username for the Datadog user account. # username: <USERNAME> ## @param password - string - required ## The password for the Datadog user account. # password: <PASSWORD>
To skip default metric checks for an instance and only run custom queries with an existing metrics gathering user, insert the tag only_custom_queries with a value of true. This allows a configured instance of the Oracle integration to skip the system, process, and tablespace metrics from running, and allows custom queries to be run without having the permissions described in the Datadog user creation section. If this configuration entry is omitted, the user you specify is required to have those table permissions to run a custom query.
init_config:
instances:
## @param server - string - required
## The IP address or hostname of the Oracle Database Server.
#
- server: localhost:1521
## @param service_name - string - required
## The Oracle Database service name. To view the services available on your server,
## run the following query:
## `SELECT value FROM v$parameter WHERE name='service_names'`
#
service_name: "<SERVICE_NAME>"
## @param user - string - required
## The username for the user account.
#
user: <USER>
## @param password - string - required
## The password for the user account.
#
password: "<PASSWORD>"
## @param only_custom_queries - string - optional
## Set this parameter to any value if you want to only run custom
## queries for this instance.
#
only_custom_queries: true-
To connect to Oracle through TCPS (TCP with SSL), uncomment the
protocolconfiguration option and selectTCPS. Update theserveroption to set the TCPS server to monitor.init_config: instances: ## @param server - string - required ## The IP address or hostname of the Oracle Database Server. # - server: localhost:1522 ## @param service_name - string - required ## The Oracle Database service name. To view the services available on your server, ## run the following query: ## `SELECT value FROM v$parameter WHERE name='service_names'` # service_name: "<SERVICE_NAME>" ## @param user - string - required ## The username for the user account. # user: <USER> ## @param password - string - required ## The password for the user account. # password: "<PASSWORD>" ## @param protocol - string - optional - default: TCP ## The protocol to connect to the Oracle Database Server. Valid protocols include TCP and TCPS. ## ## When connecting to Oracle Database via JDBC, `jdbc_truststore` and `jdbc_truststore_type` are required. ## More information can be found from Oracle Database's whitepaper: ## ## https://www.oracle.com/technetwork/topics/wp-oracle-jdbc-thin-ssl-130128.pdf # protocol: TCPS
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Update the
sqlnet.ora,listener.ora, andtnsnames.orato allow TCPS connections on your Oracle Database.
If you are connecting to Oracle Database using the Oracle Instant Client, verify that the Datadog Agent is able to connect to your database. Use the sqlplus command line tool with the information inputted in your configuration options:
sqlplus <USER>/<PASSWORD>@(DESCRIPTION=(ADDRESS_LIST=(ADDRESS=(PROTOCOL=TCPS)(HOST=<HOST>)(PORT=<PORT>))(SERVICE_NAME=<SERVICE_NAME>)))If you are connecting to Oracle Database using JDBC, you also need to specify jdbc_truststore_path, jdbc_truststore_type, and jdbc_truststore_password (optional) if there is a password on the truststore.
Note: SSO truststores don't require passwords.
# In the `instances:` section
...
## @param jdbc_truststore_path - string - optional
## The JDBC truststore file path.
#
jdbc_truststore_path: /path/to/truststore
## @param jdbc_truststore_type - string - optional
## The JDBC truststore file type. Supported truststore types include JKS, SSO, and PKCS12.
#
jdbc_truststore_type: SSO
## @param jdbc_truststore_password - string - optional
## The password for the truststore when connecting via JDBC.
#
# jdbc_truststore_password: <JDBC_TRUSTSTORE_PASSWORD>For more information about connecting to the Oracle Database through TCPS on JDBC, see the official Oracle whitepaper.
For containerized environments, see the Autodiscovery Integration Templates for guidance on applying the parameters below.
| Parameter | Value |
|---|---|
<INTEGRATION_NAME> |
oracle |
<INIT_CONFIG> |
blank or {} |
<INSTANCE_CONFIG> |
{"server": "%%host%%:1521", "service_name":"<SERVICE_NAME>", "username":"datadog", "password":"<PASSWORD>"} |
Run the Agent's status subcommand and look for oracle under the Checks section.
Providing custom queries is also supported. Each query must have three parameters:
| Parameter | Description |
|---|---|
metric_prefix |
This is what each metric starts with. |
query |
This is the SQL to execute. It can be a simple statement or a multi-line script. All rows of the result are evaluated. |
columns |
This is a list representing each column, ordered sequentially from left to right. There are two required pieces of data: a. type - This is the submission method (gauge, count, etc.). b. name - This is the suffix to append to the metric_prefix in order to form the full metric name. If type is tag, this column is instead considered as a tag which is applied to every metric collected by this particular query. |
Optionally use the tags parameter to apply a list of tags to each metric collected.
The following:
self.gauge('oracle.custom_query.metric1', value, tags=['tester:oracle', 'tag1:value'])
self.count('oracle.custom_query.metric2', value, tags=['tester:oracle', 'tag1:value'])is what the following example configuration would become:
- metric_prefix: oracle.custom_query
query: | # Use the pipe if you require a multi-line script.
SELECT columns
FROM tester.test_table
WHERE conditions
columns:
# Put this for any column you wish to skip:
- {}
- name: metric1
type: gauge
- name: tag1
type: tag
- name: metric2
type: count
tags:
- tester:oracleSee the sample oracle.d/conf.yaml for all available configuration options.
Create a query configuration to help identify database locks:
- To include a custom query, modify
conf.d\oracle.d\conf.yaml. Uncomment thecustom_queriesblock, add the required queries and columns, and restart the Agent.
init_config:
instances:
- server: localhost:1521
service_name: orcl11g.us.oracle.com
user: datadog
password: xxxxxxx
jdbc_driver_path: /u01/app/oracle/product/11.2/dbhome_1/jdbc/lib/ojdbc6.jar
tags:
- db:oracle
custom_queries:
- metric_prefix: oracle.custom_query.locks
query: |
select blocking_session, username, osuser, sid, serial# as serial, wait_class, seconds_in_wait
from v_$session
where blocking_session is not NULL order by blocking_session
columns:
- name: blocking_session
type: gauge
- name: username
type: tag
- name: osuser
type: tag
- name: sid
type: tag
- name: serial
type: tag
- name: wait_class
type: tag
- name: seconds_in_wait
type: tag- To access
v_$session, give permission toDATADOGand test the permissions.
SQL> grant select on sys.v_$session to datadog;
##connecting with the DD user to validate the access:
SQL> show user
USER is "DATADOG"
##creating a synonym to make the view visible
SQL> create synonym datadog.v_$session for sys.v_$session;
Synonym created.
SQL> select blocking_session,username,osuser, sid, serial#, wait_class, seconds_in_wait from v_$session
where blocking_session is not NULL order by blocking_session;
- Once configured, you can create a monitor based on
oracle.custom_query.locksmetrics.
See metadata.csv for a list of metrics provided by this integration.
The Oracle Database check does not include any events.
See service_checks.json for a list of service checks provided by this integration.
- Verify that both the Oracle Instant Client and SDK files are located in the same directory. The structure of the directory should look similar:
|____sdk/
|____network/
|____libociei.dylib
|____libocci.dylib
|____libocci.dylib.10.1
|____adrci
|____uidrvci
|____libclntsh.dylib.19.1
|____ojdbc8.jar
|____BASIC_README
|____liboramysql19.dylib
|____libocijdbc19.dylib
|____libocci.dylib.19.1
|____libclntsh.dylib
|____xstreams.jar
|____libclntsh.dylib.10.1
|____libnnz19.dylib
|____libclntshcore.dylib.19.1
|____libocci.dylib.12.1
|____libocci.dylib.18.1
|____libclntsh.dylib.11.1
|____BASIC_LICENSE
|____SDK_LICENSE
|____libocci.dylib.11.1
|____libclntsh.dylib.12.1
|____libclntsh.dylib.18.1
|____ucp.jar
|____genezi
|____SDK_README
- See further Linux installation documentation on Oracle.
- Verify the Microsoft Visual Studio
<YEAR>Redistributable requirement is met for your version. See the Windows downloads page for more details. - See further Windows installation documentation on Oracle.
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If you encounter a
JVMNotFoundException:JVMNotFoundException("No JVM shared library file ({jpype._jvmfinder.JVMNotFoundException: No JVM shared library file (libjvm.so) found. Try setting up the JAVA_HOME environment variable properly.})"- Ensure that the
JAVA_HOMEenvironment variable is set and pointing to the correct directory. - Add the environment variable to
/etc/environment:JAVA_HOME=/path/to/java - Then restart the Agent.
- Ensure that the
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If you encounter this error
Unsupported major.minor version 52.0it means that you're running a Java version that is too old. You need to either update your system Java or additionally install a newer version and point yourJAVA_HOMEvariable to the new install as explained above. -
Verify your environment variables are set correctly by running the following command from the Agent. Ensure the displayed output matches the correct value.
sudo -u dd-agent -- /opt/datadog-agent/embedded/bin/python -c "import os; print(\"JAVA_HOME:{}\".format(os.environ.get(\"JAVA_HOME\")))"
Need help? Contact Datadog support.
