[
https://issues.apache.org/jira/browse/SPARK-41900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ruifeng Zheng resolved SPARK-41900.
-----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 39551
[https://github.com/apache/spark/pull/39551]
> Support data type int8
> ----------------------
>
> Key: SPARK-41900
> URL: https://issues.apache.org/jira/browse/SPARK-41900
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Priority: Major
> Fix For: 3.4.0
>
>
> {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}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
