The column template can contain an ordered list of column names. When converting CSV to an object, the column names will be used as the property names. Alternatively, the column names can be taken from the first row of the CSV.
-When converting to CSV, the column template is used to identify which properties to extract from the object and in what order.
-If the template is blank then the node can use a simple comma separated list of properties supplied in msg.columns to
- determine what to extract. If that is not present then all the object properties are output in the order in which the properties are found in the first row.
When converting to CSV, the columns template is used to identify which properties to extract from the object and in what order.
+If the columns template is blank then you can use a simple comma separated list of properties supplied in msg.columns to
+ determine what to extract and in what order. If neither are present then all the object properties are output in the order
+ in which the properties are found in the first row.
If the input is an array then the columns template is only used to optionally generate a row of column titles.
If 'parse numerical values' option is checked, string numerical values will be returned as numbers, ie. middle value '1,"1.5",2'.
If 'include empty strings' option is checked, empty strings will be returned in result, ie. middle value '"1","",3'.