Fix long overflow in extended_string_to_timestamp

[emavgl]

Problem: Casting a very long string of numbers into timestamp cause long overflow exception.

How to reproduce:

sample_data_json = '''
[
{"input_value": "-5355957305054330880"},
{"input_value": "9223372036854775807"},
{"input_value": "1.547035982469E12"}
]
'''

df = spark.read.json(sc.parallelize([sample_data_json]))

display(df.withColumn("converted", F.col("input_value").cast(T.LongType())).withColumn("to_timestamp", extended_string_to_timestamp(F.col("input_value"), "to_timestamp")))

Fix:

• Add extra condition that returns None if the input value exceed the maximum allowed timestamp value in seconds (MAX_TIMESTAMP_MS)

Bump to new version of spooq --> 3.3.7