ajDBDeleteRecord function
AlchemyJ Excel Library, AlchemyJ Community Edition, AlchemyJ Enterprise Edition
Description
The ajDBDeleteRecord function deletes records in a database table satisfying the criteria specified in filter_condition. Please take note that to run this function from Excel, you would need to set up the Data Source Connection in ##ExternalResources.
Syntax
ajDBDeleteRecord(table_name, [column_headers], [data], [filter_type], [filter_condition], [table_schema], [data_source_id], [run_condition], [run_by_function_point_only])
Argument Name | Argument Type | Description |
---|---|---|
table_name (required) | String | The name of the table where the records should be deleted from. |
column_headers (Optional) | Range / Array | The columns to be matched. It can be a range of single row or column that each cell for a column. The cell value can be the actual column name or a data name which is defined in DB Schema. All key columns need to be specified. CLOB and BLOB columns are not supported. |
data (Optional) | Range / Array | The range for the key field value(s) of the record to be deleted. The orientation can either be landscape or portrait. The orientation should be the same as column_headers. |
filter_type (optional) | Double | The type of filtering. 3 types are supported 0, 1 and 2. You would need to either provide filter_type+filter_condition or the DB Schema to call this function. Otherwise, an error will be raised. |
filter_condition (optional) | Range / Array | The range that defines the filter condition. filter_type = 0. The range defines the WHERE clause of a SQL statement. The range will be concatenated into a single string. For example, Name = 'peter' and class = 'B'. filter_type = 1. The range defines the filter condition in the Kendo grid style. Click Insert Snippet\Filter Condition (Filter Type 1) to add the preset required format. filter_type =2. The range defines a filter condition similar to the format used in MS Query. Click Insert Snippet\Filter Condition (Filter Type 2) to add the preset required format. Refer to the Filter Condition snippet to see how you can use this snippet to define the required fields for filter type 1, 2. |
table_schema (optional) | Range / Array | The range that defines the DB Schema. You need to either provide the filter_type+filter_condition or the DB Schema to call this function. When the DB Schema is provided, the key column(s) must be included in the Column_headers and Data. Otherwise, an error will be raised. |
data_source_id (optional) | String | The data source shall be used in this database operation. It shall be defined in ##ExternalResources worksheet. The default value is "primary". |
run_condition (optional) | Boolean | The function will run when the value is TRUE. Otherwise, it will not run. The default value is TRUE. |
run_by_function_point_only (optional) | Boolean | If it equals FALSE, the function can be executed through ‘Excel Calculation’ (can be either Automatic or Manual, Calculate Now or Calculate Sheet) or Preview Function Point. If it equals TRUE, the function can be executed with Preview Function Point (AlchemyJ ribbon \ Preview Function Point) only. The default value is TRUE. |
The function will return:
1) Return Value: Number of affected records.
2) Return Type: Single Value / Multiple values (array formula)
Example
We will use the following table in our examples. The table name is tb_customer. It has 5 columns and 5 rows.
Example 1
This example deletes records from a tb_customer which Customer Level is 1.
Example 2
This example deletes records where customer level equals 1 or 2 using filter_type 1. The filter condition table was created via AlchemyJ ribbon Insert Snippet and select Filter Condition (Filter Type 1) .
Example 3
This example deletes records where gender equals "F" and customer level greater than 2 using filter_type 2. The filter condition table was created via AlchemyJ ribbon Insert Snippet and select Filter Condition (Filter Type 2) .
Example 4
This example deletes records using the DB Schema. column_headers and data need to be specified when using the DB Schema and the key columns must be specified in the column_headers.
Click here to download the use case workbooks for further reference.
Error Scenarios
It will return #VALUE! when missing any required parameter or mismatch parameter type. Besides, system will raise error for below scenario(s).
Error Scenario |
---|
DB connection error. |
Table name is empty. |
Filter type is invalid, it must be 0, 1, or 2. |
Data name in filter condition does not exist in the provided table schema. |
Total number of filter condition columns is not even number. |
Data name in filter condition is empty. |
Operator in filter condition is empty. |
Invalid operator value in filter condition. |
And/Or in filter condition is invalid. |
Content in filter condition range does not meet the expected format of specified filter type. |
Either filter condition or table schema must be provided. |
Table name does not exist in provided DB Schema. |
The table schema columns are invalid. |
The table schema range does not include a header or a row of data. |
The provided column header cannot be found in the specified table schema range. |
Column header is not a single row range or a single column range. |
Number of columns in column_headers does not match with the number of data columns. |
Some data columns are empty. |
Data is provided without table_schema. |
Table schema does not have key order column. |
Value for Key column is empty. |
The filter condition does not include key column. |