Bulk Operations
Perform actions on multiple records at once.
Last updated
Perform actions on multiple records at once.
Last updated
Using bulk operations in Xano is largely the same between operation types. Each function expects an array of data or a custom query that it will use to apply the bulk operation, with the exception of Clear All Records.
For operations like Bulk Delete, use the custom query expression to determine which records to delete.
For operations that expect an array, this array just needs to contain JSON objects with the ID of the record to target, and any associated data, such as each field to be edited in or added to the record.
Clear All Records will delete every record in the table.
Each conditional has four different components.
Conditional Type
The conditional type determines how this condition is weighted in the final return. You can choose between AND and OR. AND conditionals require the present conditional and any others before it to be satisfied, such as "where the date is before today AND the user is an admin". OR conditionals do not require any other conditionals to be satisfied, such as "if the user is an admin OR if the user is a manager".
Left Value
This is the first value you're using in the conditional. In a database query, this is usually going to be a column that you want to check against.
Operators
Please note that operators may differ based on where you are building the expression. Database queries will have different operators available than regular conditional statements.
Equals (==) - an exact match
Not Equals (!=) - does not equal
Equals with type matching (===) - an exact value match and an exact type match
Ex. Variable var_1 has a value of 123, with a type of text. You set up a conditional statement to check if var_1 === 123, but your value in the conditional statement is of type integer. This would return false, because the types do not match.
Not equals with type matching (!==) - does not equal value or type, similar to ===
Greater than (>) - the value on the left is greater than the value on the right
Greater than or equals (≥) - the value on the left is greater than or equals to the value on the right.
Less than (<) - the value on the left is less than the value on the right.
Less than or equals (≤) - the value on the left is less than or equals to the value on the right.
LIKE - Used for comparing text. Like is case-insensitive and compares if a text string is like another text string. It can be thought of as equals for text but upper case and lower case does not matter.
NOT LIKE - Used for comparing text. Not Like is case-insensitive and compares if a text string is not like another. It is like not equals for text but upper case and lower case does not matter.
INCLUDES - Used for comparing text. Includes is a flexible operator and is case-insensitive. It is able to determine if there is a partial match in a text string.
DOES NOT INCLUDE - Used for comparing text. Does not include determines if a text string is not included in another text string.
IN - If a single value is found in an array (list). Start with the single value on the left side and the right side should contain the array.
NOT IN - If a single value is not found in an array (list). The single value should be on the left side and the array on the right side.
REGEX MATCHES - Regular Expression used for finding patterns in text.
REGEX DOES NOT MATCH - Regular Expression used for finding a pattern that does not match in text.
OVERLAPS - Used for comparing two arrays. Overlaps determines if any values in one array are present in the second array.
DOES NOT OVERLAP - Used for comparing two arrays. Does not overlaps determines if no values in the first array are present in the second array.
CONTAINS - Contains is an advanced filter used for JSON and arrays. It looks for an exact schema match.
DOES NOT CONTAIN - Does not contain is the opposite of contains. It determines if there is not an exact schema match.
The right value is whatever you are checking against the left value. This could be a hardcoded value, a variable, or even a database field from the same record.