INVALID_INTERVAL_FORMAT error class
Error parsing ‘<input>’ to interval. Please ensure that the value provided is in a valid format for defining an interval. You can reference the documentation for the correct format.
ARITHMETIC_EXCEPTION
Uncaught arithmetic exception while parsing ‘<input>’.
DAY_TIME_PARSING
Error parsing interval day-time string: <msg>.
INPUT_IS_EMPTY
Interval string cannot be empty.
INPUT_IS_NULL
Interval string cannot be null.
INTERVAL_PARSING
Error parsing interval <interval> string.
INVALID_FRACTION
<unit> cannot have fractional part.
INVALID_PRECISION
Interval can only support nanosecond precision, <value> is out of range.
INVALID_PREFIX
Invalid interval prefix <prefix>.
INVALID_UNIT
Invalid unit <unit>.
INVALID_VALUE
Invalid value <value>.
MISSING_NUMBER
Expect a number after <word> but hit EOL.
MISSING_UNIT
Expect a unit name after <word> but hit EOL.
SECOND_NANO_FORMAT
Interval string does not match second-nano format of ss.nnnnnnnnn.
TIMEZONE_INTERVAL_OUT_OF_RANGE
The interval value must be in the range of [-18, +18] hours with second precision.
UNKNOWN_PARSING_ERROR
Unknown error when parsing <word>.
UNMATCHED_FORMAT_STRING
Interval string does not match <intervalStr> format of <supportedFormat> when cast to <typeName>: <input>.
UNMATCHED_FORMAT_STRING_WITH_NOTICE
Interval string does not match <intervalStr> format of <supportedFormat> when cast to <typeName>: <input>. Set “spark.sql.legacy.fromDayTimeString.enabled” to “true” to restore the behavior before Spark 3.0.
UNRECOGNIZED_NUMBER
Unrecognized number <number>.
UNSUPPORTED_FROM_TO_EXPRESSION
Cannot support (interval ‘<input>’ <from> to <to>) expression.