Sync actions
Last updated
Last updated
When configuring a data sync you must set your sync behaviour. You have two options for this: Full File or Delta.
Full File syncs intake both the source and the destination data and reconcile the records by matching up the sync key. This determines any differences and allows it to perform updates, inserts, ignores, or deletes at the destination.
Delta syncs skip the reconciliation process. In batch syncs, it simply grabs records from the source and inserts it into the destination. In real-time syncs, it may act differently depending on the event type. For example, when using the Cinchy Event Broker/CDC with an insert event, a delta sync will insert the data into the destination, an update event will update, etc.
Delta syncs also have the option to provide an "Action Type Column" for REST API destinations. This reads the value of the source record from a specified column. If the value is INSERT, then it inserts the record, UPDATE, then it updates, DELETE, then it deletes.
When using the Full File synchronization strategy there are four distinct sections that must be configured: the Sync Key and the Sync Record Behaviours, which include actions for New, Dropped, and Changed records. (Image 1).
The sync key is a unique key reference you use for data syncs from the data source into your destination. You can use it to match the data between the source and the target for updates on changed records.
To set this using a config XML, use the following guide:
Elements: <SyncKeyColumnReference>
This is used in the <SyncKey> element when specifying which columns in the Target Table to be utilized as a unique key for the syncing process.
Contained-In: <SyncKey>
Attributes: name. The name of a column in the destination that you are syncing data into.
The Sync Record Behaviour divides into three subsections which defines what action to take on certain records (Image 2).
Values in the attributes section of the config XML for record behaviour are case sensitive.
New Record Behaviour defines what action to take when a new record is found in the sync source. This can be either INSERT or IGNORE.
To set this using a config XML, use the following guide:
type
The type defines the action upon the new record.
It can either be INSERT or IGNORE.
INSERT will insert the new record.
IGNORE will do nothing to the record.
Dropped Record Behaviour defines what action to take when a new record isn't found in the sync source, but exists in the target. This can be either DELETE, IGNORE, or EXPIRE.
To set this using a config XML, use the following guide:
type
The type defines the action upon the dropped record.
It can either be IGNORE, EXPIRE, or DELETE.
IGNORE will do nothing to the record.
EXPIRE will populate a specified expiration timestamp field as the current time. An expirationTimestampField must be provided. This is a reference to a date/time column in the target that should be updated with the execution timestamp if the record is dropped.
DELETE will delete dropped records in the target data set.
expirationTimestampField
This attribute is only applicable if the type is equal to EXPIRE.
The expirationTimestampField is the name of an existing date field to be filled with the current time.
Changed Record Behaviour defines what action to take when a new record with a sync key is found in the sync source and also exists in the target. This can be either Update or Ignore.
To set this using a config XML, use the following guide:
type
The type defines the action upon the new record.
It can either be UPDATE, IGNORE, or CONDITIONAL.
"IGNORE" will do nothing to the record.
"UPDATE" will update the record.
When using the Delta synchronization strategy there is one optional configuration that you can expose when running a sync with a REST API destination (Image 3).
The Action Type Column reads the value of the source record from a specified column. If the value is INSERT, then it inserts the record, UPDATE, then it updates, DELETE, then it deletes.
Added in Cinchy v5.6, the Changed Record Behaviour - Conditional feature allows you to define specific conditions upon which to update your records (Image 4).
You can add multiple Conditions to a single data sync by using the AND/OR and +Rule buttons.
You are able to group your Rules into a rule set by using the +Ruleset button.
If your Condition evaluates to true then it will update your records
Use the The left-most drop down to select either a source or a target column as defined in your Source and Destination tabs
Use The centre drop-down to select from the following options:
\=
!=
Contains
Is Null
Is Not Null
Use the The right-most drop-down to:
Add a plain value (ex: text, numerical, etc.) This will adjust based on the column data type picked in the left-most drop down. For example, if in the source schema the column is a date, then it renders a date picker.
Select either a source or a target column as defined in your Source and Destination tabs (when used in conjunction with the Use Columns checkbox)
For example, the below condition would only update records where the target column "Name" is null (Image 5).
"CONDITIONAL" will open a new UI section allowing you to define Conditions upon which to update your records. for more information on the Conditional behaviour.
