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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2017/01/26 20:20:24 UTC
[jira] [Created] (SPARK-19375) na.fill() should not change the data
type of column
Davies Liu created SPARK-19375:
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Summary: na.fill() should not change the data type of column
Key: SPARK-19375
URL: https://issues.apache.org/jira/browse/SPARK-19375
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0, 2.0.2, 1.6.3, 1.5.2, 1.4.1, 1.3.1, 2.2.0
Reporter: Davies Liu
When these function are called, a column of numeric type will be converted into DoubleType, which will cause unexpected type casting and also precision loss for LongType.
{code}
def fill(value: Double)
def fill(value: Double, cols: Array[String])
def fill(value: Double, cols: Seq[String])
{code}
Workaround
{code}
fill(Map("name" -> v))
{code}
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