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https://issues.apache.org/jira/browse/SPARK-17811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15555996#comment-15555996
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Miao Wang commented on SPARK-17811:
-----------------------------------
> df <- data.frame(Date = as.POSIXlt(as.Date(c(rep("2016-01-10", 10), "NA",
> "NA"))), id = 1:12)
> re <- createDataFrame(df)
> collect(select(re, "Date"))
Date
1 2016-01-09 16:00:00
2 2016-01-09 16:00:00
3 2016-01-09 16:00:00
4 2016-01-09 16:00:00
5 2016-01-09 16:00:00
6 2016-01-09 16:00:00
7 2016-01-09 16:00:00
8 2016-01-09 16:00:00
9 2016-01-09 16:00:00
10 2016-01-09 16:00:00
11 1969-12-31 16:00:00
12 1969-12-31 16:00:00
It seems that when creating dataframe, it adds default value for POSIXlt type
but not Date type if fields are "NA". I trying to find a proper fix.
> SparkR cannot parallelize data.frame with NA or NULL in Date columns
> --------------------------------------------------------------------
>
> Key: SPARK-17811
> URL: https://issues.apache.org/jira/browse/SPARK-17811
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.0.1
> Reporter: Hossein Falaki
>
> To reproduce:
> {code}
> df <- data.frame(Date = as.Date(c(rep("2016-01-10", 10), "NA", "NA")), id =
> 1:12)
> dim(createDataFrame(df))
> {code}
> We don't seem to have this problem with POSIXlt
> {code}
> df <- data.frame(Date = as.POSIXlt(as.Date(c(rep("2016-01-10", 10), "NA",
> "NA"))), id = 1:12)
> dim(createDataFrame(df))
> {code}
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