[ https://issues.apache.org/jira/browse/SPARK-32640?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takeshi Yamamuro updated SPARK-32640: ------------------------------------- Labels: correction (was: ) > Spark 3.1 log(NaN) returns null instead of NaN > ---------------------------------------------- > > Key: SPARK-32640 > URL: https://issues.apache.org/jira/browse/SPARK-32640 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.1.0 > Reporter: Thomas Graves > Assignee: Wenchen Fan > Priority: Major > Labels: correction > Fix For: 3.1.0 > > > I was testing Spark 3.1.0 and I noticed that if you take the log(NaN) it now > returns a null whereas in Spark 3.0 it returned a NaN. I'm not an expert in > this but I thought NaN was correct. > Spark 3.1.0 Example: > >>> df.selectExpr(["value", "log1p(value)"]).show() > +--------------+-----------------+ > | value| LOG1P(value)| > +--------------+-----------------+ > |-3.4028235E38| null| > |3.4028235E38|88.72283906194683| > | 0.0| 0.0| > | -0.0| -0.0| > | 1.0|0.6931471805599453| > | -1.0| null| > | NaN| null| > +--------------+-----------------+ > > Spark 3.0.0 example: > > +-------------+------------------+ > | value| LOG1P(value)| > +-------------+------------------+ > |-3.4028235E38| null| > | 3.4028235E38| 88.72283906194683| > | 0.0| 0.0| > | -0.0| -0.0| > | 1.0|0.6931471805599453| > | -1.0| null| > | NaN| NaN| > +-------------+------------------+ > > Note it also does the same for log1p, log2, log10 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org