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Open the wrapper.conf file located in the Agent's conf folder and change the following configuration:

#wrapper.java.maxmemory=64

Removing the “#” and putting a numeric value higher than 64. This numeric value is a size in MB for the Java memory heap space the agent can use. Generally, you would base this value on the memory available on the server where the Agent is running. For example, if the server has 1GB of memory, you can set it to be 512MB here:

wrapper.java.maxmemory=512

Start by enabling the timing feature in the Agent to see the times the Agent takes to get messages from the queue in the Integration Mesh as well the time it takes to build statements and execute those against the database. This will help determine where the performance bottlenecks are. Contact support@perspectium.com for more information.

You can alter the default <connection_request_timeout> by setting it to 120000. This should give your connection plenty more room to handle all the IO of large transaction. You would place it within your agent.xml like so:

<config>
    <agent>
        <subscribe>
            <task>
                <task_name>timeout_example</task_name>
                <message_connection connection_request_timeout="120000" user="XXX" password="XXX" >your_url</message_connection>
                ...
            <task>
        <subscribe>
    </agent>
</config>

This should be placed on the <message_connection> within the task level of the desired connection. This attribute will only be set for the specified <message_connection>, so if you have separate connections for monitoring or replicating data they will use the default unless specified.

Another option is if you have firewall access to both your https and AMQPS connections (https://your_instance.perspectium.net & amqps://your_instance-amqp.perspectium.net) you can try either

• Setting your <max_reads_per_connect> to 1 and use the HTTPS connection

• Setting your <max_reads_per_connect> to 4000 and use the AMQPS connection

You can add a loginTimeout database parameter to the agent.xml configuration file to control the DB connection timeout.

In your agent.xml, under each <task> entry, add <database_parms>loginTimeout=NN</database_parms> where nn is in seconds.

For example:

 <database_parms>loginTimeout=30</database_parms>

If you already have <database_parms> configured, then append the loginTimeout parameter using:

 <database_parms>integratedSecurity=true;loginTimeout=30</database_parms>

The default  in MySQL does not support multibyte characters.  So to properly work with multibyte characters, run the following command in MySQL on the database:

ALTER DATABASE [DBNAME] CHARACTER SET utf8 COLLATE utf8_general_ci;

The reason the you're receiving this error is due to Oracle's parameters for SHARED_POOL_SIZE. Note that when SGA_TARGET is set and the parameter is not specified, then the default is 0 (internally determined by the Oracle Database), but if the parameter is specified, then your specified value indicates a minimum value for the memory pool.

In the case where a value was set for SGA_TARGET, that would be the value you would need to update rather than the SHARED_POOL_SIZE since by setting SGA_TARGET, you are using automatic SGA management. Hence, there is no need to manually set the value of SHARED_POOL_SIZE because Oracle will internally transfer memory between the SGA components.

In the case where you are more concerned with setting a larger value for SGA_TARGET, you can also make a larger value for SHARED_POOL_SIZE but the value must be smaller than SGA_TARGET to avoid encountering the following issue:

SGA_TARGET = 1GB
SHARED_POOL_SIZE = no value

You will encounter an issue when the value of SHARED_POOL_SIZE exceeds the value of SGA_TARGET.

It is recommended to set the SGA_TARGET value at a minimum of 5GB. Therefore, if the SHARED_POOL_SIZE value is at 1GB, the SGA_TARGET will still have at least 4GB for allocation of other memory components that are concurrently stored in SGA_TARGET.

 NOTE: Be sure to restart the Oracle Database after making the described value changes. For additional information, refer to SHARED_POOL_SIZE or SGA_TARGET.

Check the isolation level setting and if it's Read uncommitted. Because the Agent is rapidly processing records and writing many records to the same table, different isolation settings may lock the table preventing the Agent from writing records to the table as it subscribes to and processes records from the Mesh.  

Do one of the following:

• If you are expecting multibyte characters from ServiceNow it is recommended to turn on multibyte encryption within the Perspectium Properties page.

• If you are running a MySQL agent it is recommended to place characterEncoding=UTF-8 within the database_parms tag.

• If you are running a SQL Server agent on Windows then you must be using at least Agent V3.11.0 and include SendStringParametersAsUnicode=true within the Database Parms tag.

The format is:

<!-- MySQL multibyte decryption -->
<database_parms>characterEncoding=UTF-8</database_parms>

<!-- SQL Server multibyte decryption (Windows) -->
<!-- Note: Requires Agent V3.11.0 or greater -->
<database_parms>SendStringParametersAsUnicode=true</database_parms>

Ensure that your database is using the correct character set. Oracle requires the AL32UTF8 character set. MySQL requires utf8mb4 or utf8 character set and utf8_general_ci collation for its character set and collation. 

In MySQL, you can update this by running the following command on the database:

ALTER DATABASE [DBNAME] CHARACTER SET utf8 COLLATE utf8_general_ci;

Also verify that you are using the <byte_padding> option in your agent.xml. To setup byte padding please see DataSync Agent configurations.