Batch Split Connector
Batch Split Connector
In CData Arc, data travels through flows as Messages that consist of a body and metadata headers. For example, if one connector passes a file to another, the file is transmitted as a Message that contains the file in the body and metadata about the file and associated connectors as headers. Messages can be grouped together in Batch Groups, which allow multiple messages to travel together as a single unit. Some uses for Batch Groups include moving data between systems and processing multiple purchase orders at once. When a Message is part of a Batch Group, it is referred to as a Batch Message.
The Batch Split connector splits Batch Groups that arrive in the Send folder (the Input tab of the connector settings pane) into individual messages. When a Batch Group is split, the individual messages are passed down the flow through the Output tab, where they can be processed by other connectors as needed.
Note: The Batch Split connector can only accept Batch Groups as inputs. If the connector receives an individual message as an input, it throws an error message.
This section contains all of the configurable connector properties.
Settings that determine how the connector can be accessed.
- Connector Id The static, unique identifier for the connector.
- Connector Type Displays the connector name and a description of what it does.
- Connector Description An optional field to provide a free-form description of the connector and its role in the flow.
Settings that specify Batch Grouping options.
- Correlation Id Header When the connector splits a Batch Group, it generates a value for the header based on the Batch Group MessageId, then assigns the same header and value to each individual message. If a message already has a Correlation Id Header and value, it does not receive the header and value that is assigned to the rest of the messages.
- Save to Sent Folder Check this to copy files processed by the connector to the Sent folder for the connector.
- Sent Folder Scheme Instructs the connector to group messages in the Sent folder according to the selected interval. For example, the Weekly option instructs the connector to create a new subfolder each week and store all messages for the week in that folder. The blank setting tells the connector to save all messages directly in the Sent folder. For connectors that process many messages, using subfolders helps keep messsages organized and improves performance.
- Log Level The verbosity of logs generated by the connector. When you request support, set this to Debug.
- Log Subfolder Scheme Instructs the connector to group files in the Logs folder according to the selected interval. For example, the Weekly option instructs the connector to create a new subfolder each week and store all logs for the week in that folder. The blank setting tells the connector to save all logs directly in the Logs folder. For connectors that process many transactions, using subfolders helps keep logs organized and improves performance.
- Log Messages Check this to have the log entry for a processed file include a copy of the file itself. If you disable this, you might not be able to download a copy of the file from the Input or Output tabs.
Miscellaneous settings are for specific use cases.
- Other Settings Enables you to configure hidden connector settings in a semicolon-separated list (for example,
setting1=value1;setting2=value2). Normal connector use cases and functionality should not require the use of these settings.
- Send When checked, the connector automatically splits Batch Groups as soon as they arrive in the Send folder (Input tab). If you uncheck this, you must manually instruct the connector to split Batch Groups.
Settings related to the allocation of resources to the connector.
- Max Workers The maximum number of worker threads consumed from the threadpool to process files on this connector. If set, this overrides the default setting on the Settings > Automation page.
- Max Files The maximum number of files sent by each thread assigned to the connector. If set, this overrides the default setting on the Settings > Automation page.
Settings related to configuring alerts and Service Level Agreements (SLAs).
Connector Email Settings
Before you can execute SLAs, you need to set up email alerts for notifications. Clicking Configure Alerts opens a new browser window to the Settings page where you can set up system-wide alerts. See Alerts for more information.
Service Level Agreement (SLA) Settings
SLAs enable you to configure the volume you expect connectors in your flow to send or receive, and to set the time frame in which you expect that volume to be met. CData Arc sends emails to warn the user when an SLA is not met, and marks the SLA as At Risk, which means that if the SLA is not met soon, it will be marked as Violated. This gives the user an opportunity to step in and determine the reasons the SLA is not being met, and to take appropriate actions. If the SLA is still not met at the end of the at-risk time period, the SLA is marked as violated, and the user is notified again.
To define an SLA, click Add Expected Volume Criteria.
- If your connector has separate send and receive actions, use the radio buttons to specify which direction the SLA pertains to.
- Set Expect at least to the minimum number of transactions (the volume) you expect to be processed, then use the Every fields to specify the time frame.
- By default, the SLA is in effect every day. To change that, uncheck Everyday then check the boxes for the days of the week you want.
- Use And set status to ‘At Risk’ to indicate when the SLA should be marked as at risk.
- By default, notifications are not sent until an SLA is in violation. To change that, check Send an ‘At Risk’ notification.
The following example shows an SLA configured for a connector that expects to receive 1000 files every day Monday-Friday. An at-risk notification is sent 1 hour before the end of the time period if the 1000 files have not been received.