Type Checking Functions
less than a minute
These type checking converters return a boolean value indicating whether the input is of the specified type. They are useful for conditional processing based on data types.
Syntax: IsBool|IsDouble|IsInt|IsList|IsMap|IsString(value)
- value: the field to check the type of
Note: JSON numeric values are parsed as floats/doubles by default.
IsInt()will returnfalsefor JSON numbers like42, even though they appear to be integers. UseIsDouble()to check for JSON numeric values.
Input
{
"_type": "log",
"body": {
"bool_val": true,
"int_val": 42,
"float_val": 3.14,
"string_val": "text",
"list_val": [1, 2, 3],
"map_val": {"key": "value"},
"run": 26
},
"resource": {...},
"timestamp": 1727750400000
}
Statement
set(body["is_bool"], IsBool(body["bool_val"]))
set(body["is_int"], IsInt(body["int_val"]))
set(body["is_double"], IsDouble(body["float_val"]))
set(body["is_string"], IsString(body["string_val"]))
set(body["is_list"], IsList(body["list_val"]))
set(body["is_map"], IsMap(body["map_val"]))
Output
{
"_type": "log",
"body": {
"bool_val": true,
"int_val": 42,
"float_val": 3.14,
"string_val": "text",
"list_val": [1, 2, 3],
"map_val": {"key": "value"},
"is_bool": true,
"is_int": false,
"is_double": true,
"is_string": true,
"is_list": true,
"is_map": true,
"run": 26
},
"resource": {...},
"timestamp": 1727750400000
}
Each type checking function correctly identified the type of its corresponding field. Note that is_int is false because JSON numbers are parsed as doubles.