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"Trigger" is the mechanism to activate/ Extract information from the source system for use in Target system . In DBSync the Trigger section is as shown below, Trigger facilitates the information to be read from the source system through a mechanism called Query Builder.
There are a advanced version of query building mechanism , where complex queries involving across multiple objects are created , result set can also be viewed at run-time making it convenient for the user to change the query as and when.
DBSync offers a very convenient way of building queries ranging from simple ones to very complex queries. The query builder can be used to build simple query ,mostly basing on a single object.
- Initially, when the user lands on this Workflow detail page , he/she will have to select the Data source and the object on which the query is to be built
- He/She can add N number of condition for the query being built by clicking on "Add New Condition"
- For adding a condition user has to select the field, select the operator and enter the value with in ' '
- Basing on the number of conditions added , the filter logic is auto populated and by chance if he/she wishes to change the logic they can do by entering the value
- Clicking on the preview button adjacent to filter logic will show the result set in Query Result section.
The below table demonstrates the operators supported and meanings of each operations .
S.No |
Operator Name |
Operator Description |
1 |
equals |
|
2 |
not equals to |
|
3 |
greater than |
|
4 |
greater than equals |
|
5 |
less |
|
6 |
less than equals |
|
7 |
like |
|
The advanced query builder lets the user to build complex queries , the advanced query builder contains three section
- Schema , which loads up the whole of source schema with whole table, can be expanded to show the columns with respective data types
- Query Builder, where query will be pre loaded for Templates loaded from Template library and a user can write their own queries .
- Query Result , which will show the result for relational data models and for XML structures the data is shown in tree format.