Random number generation not generating random data unless maxValue is specified or is implied from other options

[ronanstokes-db]

Expected Behavior

When you want to generate a random value for a field, you use the option random=True.

Current Behavior

This currently only works if an upper bound (i.e max value) is specified for the column.
Upper bounds are implicitly calculated when using the values option, the uniqueValues option also.

The workaround in the current release is to always specify an upper bound using either the maxValue option, the uniqueValues option or other options such as values that implicitly compute an upper bound for the range of values produced.

Steps to Reproduce (for bugs)

The following code works correctly generating random data on all columns marked as random except for customer_id2

testDataSpec = (
    dg.DataGenerator(spark, name="test_data_set1", rows=10000, partitions=4)
    .withIdOutput()
    .withColumn("customer_id", "long", minValue=100, maxValue=2147483647, random=True)
    .withColumn("customer_id2", "long", random=True)
    .withColumn("code1", IntegerType(), minValue=100, maxValue=200, random=True)
    .withColumn("code2", "integer", minValue=0, maxValue=10, random=True)
    .withColumn("code3", StringType(), values=["online", "offline", "unknown"], random=True)
    .withColumn(
        "code4", StringType(), values=["a", "b", "c"], random=True, percentNulls=0.05
    )
    .withColumn(
        "code5", "string", values=["a", "b", "c"], random=True, weights=[9, 1, 1]
    )
    .withColumn("code6", "integer",  maxValue=10, random=True)
    .withColumn("code7", "integer",  uniqueValues=50, random=True)
)

Context

Your Environment

• dbldatagen version used:
• Databricks Runtime version:
• Cloud environment used: