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Posted to issues@spark.apache.org by "Hossein Falaki (JIRA)" <ji...@apache.org> on 2017/07/18 03:31:00 UTC
[jira] [Created] (SPARK-21450) List of NA is flattened inside a
SparkR struct type
Hossein Falaki created SPARK-21450:
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Summary: List of NA is flattened inside a SparkR struct type
Key: SPARK-21450
URL: https://issues.apache.org/jira/browse/SPARK-21450
Project: Spark
Issue Type: Bug
Components: SparkR
Affects Versions: 2.2.0
Reporter: Hossein Falaki
Consider the following two cases copied from {{test_sparkSQL.R}}:
{code}
df <- as.DataFrame(list(list("col" = "{\"date\":\"21/10/2014\"}")))
schema <- structType(structField("date", "date"))
s1 <- collect(select(df, from_json(df$col, schema)))
s2 <- collect(select(df, from_json(df$col, schema2, dateFormat = "dd/MM/yyyy")))
{code}
If you inspect s1 using {{str(s1)}} you will find:
{code}
'data.frame': 2 obs. of 1 variable:
$ jsontostructs(col):List of 2
..$ : logi NA
{code}
But for s2, running {{str(s2)}} results in:
{code}
'data.frame': 2 obs. of 1 variable:
$ jsontostructs(col):List of 2
..$ :List of 1
.. ..$ date: Date, format: "2014-10-21"
.. ..- attr(*, "class")= chr "struct"
{code}
I assume this is not intentional and is just a subtle bug. Do you think otherwise? [~shivaram] and @ felixcheung
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