[jira] [Created] (SPARK-41903) Support data type ndarray

["Sandeep Singh (Jira)" <ji...@apache.org>]

Sandeep Singh created SPARK-41903:
-------------------------------------

             Summary: Support data type ndarray
                 Key: SPARK-41903
                 URL: https://issues.apache.org/jira/browse/SPARK-41903
             Project: Spark
          Issue Type: Sub-task
          Components: Connect
    Affects Versions: 3.4.0
            Reporter: Sandeep Singh


{code:java}
import numpy as np
from pyspark.sql.functions import lit

dtype_to_spark_dtypes = [
    (np.int8, [("CAST(1 AS TINYINT)", "tinyint")]),
    (np.int16, [("CAST(1 AS SMALLINT)", "smallint")]),
    (np.int32, [("CAST(1 AS INT)", "int")]),
    (np.int64, [("CAST(1 AS BIGINT)", "bigint")]),
    (np.float32, [("CAST(1.0 AS FLOAT)", "float")]),
    (np.float64, [("CAST(1.0 AS DOUBLE)", "double")]),
    (np.bool_, [("true", "boolean")]),
]
for dtype, spark_dtypes in dtype_to_spark_dtypes:
    self.assertEqual(self.spark.range(1).select(lit(dtype(1))).dtypes, spark_dtypes){code}
{code:java}
Traceback (most recent call last):
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_functions.py", line 1064, in test_lit_np_scalar
    self.assertEqual(self.spark.range(1).select(lit(dtype(1))).dtypes, spark_dtypes)
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/utils.py", line 332, in wrapped
    return getattr(functions, f.__name__)(*args, **kwargs)
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/functions.py", line 198, in lit
    return Column(LiteralExpression._from_value(col))
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/expressions.py", line 266, in _from_value
    return LiteralExpression(value=value, dataType=LiteralExpression._infer_type(value))
  File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/expressions.py", line 262, in _infer_type
    raise ValueError(f"Unsupported Data Type {type(value).__name__}")
ValueError: Unsupported Data Type int8
{code}



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