This section explains how to set up WSO2 Data Analytics Server to collect and analyze runtime statistics from the API Manager.
- WSO2 API Manager
- WSO2 Data Analytics Server
- An RDBMS instance (MySQL, MsSQL, Oracle, H2 etc.)
- API_Manager_Analytics.car file
- DB scripts
Configuring WSO2 DAS
- Download WSO2 Data Analytics Server from this location: http://wso2.com/products/data-analytics-server/.
If APIM and DAS run on the same machine, open the
<DAS_HOME>/repository/conf/carbon.xmlfile and increase the default service port of DAS by setting the offset value as follows:
This increments all ports used by the server by 1, which means the WSO2 DAS server will run on port 9444. Port offset is used to increment the default port by a given value. It avoids possible port conflicts when multiple WSO2 products run on same host.
Define the datasource declaration according to your RDBMS in the
This DB is used to push the summarized data after analyzing is done by WSO2 DAS. Later, WSO2 API Manager uses this DB to fetch the summary data and display it on the API Manager dashboard. MySQL databases are used here as an example. However, it is also possible to configure it with H2,Oracle etc. Note that you should always use the
WSO2AM_STATS_DBas the datasoure name.
The auto commit option should be disabled when working with WSO2 DAS. Set this in the JDBC URL or by adding
<defaultAutoCommit>false</defaultAutoCommit>under the datasource
<configuration>property as shown below:
Configuring the MySQL database
- If you are using MySQL as the database, download and paste the MySQL driver to the
Import the correct schema declaration script from the DB scripts folder to the above database. For example, use the
mysql.sqlto create schemas in the database.
Similar to WSO2 Business Activity Monitor (BAM), WSO2 DAS does not automatically create the table structure in the database. Therefore, it needs to be done manually as
-Dsetupdoes not work.
Uploading the API Manager analytics file
WSO2 DAS uses SparkSQL to analyze the data. All definitions about the data published from WSO2 API Manager and the way it should be analyzed using Spark are shipped to WSO2 DAS as a
- Download the API_Manager_Analytics.car file.
- Start the WSO2 DAS server and log in to the Management Console.
- Navigate to the Carbon Applications section under Manage and click Add.
- Point to the downloaded file and upload.
Configuring WSO2 API Manager
- Start the API Manager server and log in to the Admin Dashboard (
- Click Configure Analytics under the Settings section.
- Select the Enable check box to enable statistical data publishing.
- Set the event receiver configurations according to the DAS server.
- Click Add URL Group to save the configuration.
- Clear all settings under the Data Analyzer Configurations section. Enter the URL, username and password you configured above in the
WSO2AM_STATS_DBdatasource in WSO2 DAS.
- Click Save.
If you are using MySQL as the database, copy and paste the MySQL driver library to the
Invoking the sample
Invoke an API to generate traffic and see the statistics.
- Log in to the API Publisher and deploy the sample CalculatorAPI.
- Log in to the API Store and subscribe to the API you created.
- Invoke the sample using the API Store or the cURL command and wait a few minutes for the analytics to be generated.
- In the API Publisher, click API Usage under the All Statistics section.
Purging Data (optional)
Data purging is an option to remove historical data in WSO2 DAS. This is important since it is not possible to delete tables or table data in WSO2 DAS. By purging data, you can achieve high performance on data analysing without removing analysed summary data. Only data from the stream data fired by APIM is purged and it is contained in the following tables:
There are two ways to purge data in DAS,
Using the admin console
- Navigate to the Data-explorer and select one of the above tables.
- Click Schedule Data Purge.
- On the dialog box that appears, set the time and days within which you want to purge data and save.
- Repeat the steps for all of the tables above and wait for the data to be purged.
Using the global method
- Open the
Change the contents under the <analytics-data-purging> property as shown below,
- Save your changes.