Perspectium DataSync Agents support the replication of data from your app to an Amazon Web Services (AWS) S3 bucket, or an AWS S3 Subscriber Agent. By configuring your AWS S3 Subscriber Agent, data from your app can be replicated and then saved as either .json or .xml file(s) in your AWS S3 bucket.
Prerequisites
First, you will need to set up the Perspectium DataSync Agent.
You should also stop running your DataSync Agent before making any Agent configuration changes.
Procedure
To configure your DataSync Agent to run as an AWS S3 Subscriber Agent, follow these steps:
Add the following .jar files to your DataSync Agent's extlib directory:
joda-time (v2.10.3)
aws-java-sdk-core (v1.11.729)
aws-java-sdk-kms (v1.11.729)
aws-java-sdk-s3 (v1.11.729)
While newer versions may work, they have not been tested and it is suggested you use the versions listed above which have been confirmed to work with this release.
Navigate to the directory where you saved your agent.xml file when installing your DataSync Agent.
Open your agent.xml file in a text editing application and delete the following directives nested within the <task> tag:
- <database_type>
- <database_server>
- <database_port>
- <database_user>
- <database_password>
- <database_parms>
- <database_column_max_size>
- <database>
Locate the <task_name> and <handler> directives nested within the <task> tag and update their values as follows:
Directive | Update value to... |
---|---|
<task_name> | s3_agent_subscribe |
<handler> | com.perspectium.replicator.file.S3Subscriber |
Within the <task> tag, nest the following directives:
Directive | Description | Required? |
---|---|---|
<access_key> | Access Key associated with your AWS account NOTE: Cannot be used with <use_instance_credentials/> directive | Yes, ONLY when the DataSync Agent is not installed on an EC2 instance. |
<secret_access_key> | Secret Access Key associated with your AWS account NOTE: Cannot be used with <use_instance_credentials/> directive | Yes, ONLY when the DataSync Agent is not installed on an EC2 instance. |
<use_instance_credentials/> | Checks the IAM roles on an EC2 instance and uploads to the S3 bucket if the instance has the correct permissions NOTE: Cannot be used with <access_key> or <secret_access_key> directive | No |
<region> | Region that your AWS S3 bucket resides in NOTE: If a region is specified for an Agent on an EC2 instance, then the region must match the region of the EC2 instance and the region of the S3 bucket | No |
<s3_bucket> | Name of your AWS S3 bucket, including subdirectories if desired, to specify where the records will be uploaded e.g. bucketName/folder1/folder2. For example, with <s3_bucket>psp-bucket</s3_bucket> will save records into the psp-bucket S3 bucket. With <s3_bucket>psp-bucket/datasync-agent/tables/$table</s3_bucket> configured, if an incident record is being processed and uploaded to the AWS S3 bucket, then the record will be saved in the psp-bucket S3 bucket and in the /datasync-agent/tables/incident directory in that bucket, creating the directories datasync-agent, tables and incident automatically. NOTE: Adding the $table token indicates this token will be replaced by the table name of the record. | Yes |
<file_format> | Format you want to save your data records in e.g., json or xml | Yes |
<s3_bucket_encryption/> | To use AWS server-side encryption when pushing files to the S3 bucket. Configuring this option will have the Agent request S3 to encrypt the data at rest using S3's built-in functionality. | No |
Save the changes you've made to your agent.xml and close the file. An example agent.xml configuration for an AWS S3 Subscriber Agent is shown below:
<?xml version="1.0" encoding="UTF-8"?> <config> <agent> <share /> <subscribe> <task> <task_name>s3_agent_subscribe</task_name> <message_connection password="password" user="user">https://mesh.perspectium.net</message_connection> <instance_connection password="password" user="user">https://myinstance.service-now.com</instance_connection> <handler>com.perspectium.replicator.file.S3Subscriber</handler> <decryption_key>The cow jumped over the moon</decryption_key> <access_key>AccessKey</access_key> <secret_access_key>SecretAccessKey</secret_access_key> <region>us-west-2</region> <s3_bucket>examples3bucket</s3_bucket> <file_format>json</file_format> </task> </subscribe> <polling_interval>40</polling_interval> </agent> </config>
Files saved in the AWS S3 bucket will be named <task_name>.<randomized_unique_identifier>.<file_format>. A randomized unique identifier is used to ensure there are no file naming collisions when saving to the S3 bucket. Using the above configuration example, a file would be named s3_agent_subscribe.00b470b7-901c-4447-9316-023a265d632f.json.
NOTE: In this configuration example, your data records will be saved in your AWS S3 bucket as one file. To save each record from your app as an individual file in your AWS S3 bucket, use the following agent.xml configuration example as a guide:
<?xml version="1.0" encoding="UTF-8"?> <config> <agent> <share /> <subscribe> <task> <task_name>s3_agent_subscribe</task_name> <message_connection password="password" user="user">https://<customer>.perspectium.net</message_connection> <instance_connection password="password" user="user">https://<instance>.service-now.com</instance_connection> <handler>com.perspectium.replicator.file.S3Subscriber</handler> <decryption_key>The cow jumped over the moon</decryption_key> <access_key>AccessKey</access_key> <secret_access_key>SecretAccessKey</secret_access_key> <region>us-west-2</region> <s3_bucket>examples3bucket</s3_bucket> <file_format>json</file_format> <file_prefix>record_</file_prefix> <file_suffix>.json</file_suffix> <one_record_per_file/> </task> </subscribe> <polling_interval>40</polling_interval> </agent> </config>
Saving one record per file supports the following configuration directives:
Directive | Example | Use | Required? |
<file_prefix> | <file_prefix>record_</file_prefix> NOTE: Use the value $table_$d{yyyyMMdd} to set a dynamic file name where table will be the record's table and yyyyMMdd will be the date format i.e. problem_20200530.json. You can modify yyyyMMdd with another date format of your choice. For example, hourly will need a yyyyMMddHH value. For other date format, see Date Format. <file_prefix>$table_$d{yyyyMMdd}</file_prefix> | A prefix for the file name of each record. If this directive is not specified, “psp.replicator.” will be used as the prefix. NOTE: The time period will be configured in this directory. | No |
<file_suffix> | <file_suffix>.xml</file_suffix> | A suffix for the file name of each record. If this directive is not specified, “.json” will be used as the suffix. | No |
In this case, each record will be saved in its own file named<file_prefix><randomized_unique_identifier><file_suffix>. Using the above configuration example, a file would be named record_00b470b7-901c-4447-9316-023a265d632f.xml.
After configuring your agent.xml file to support your AWS S3 Subscriber Agent, start running your DataSync Agent again.