[ https://issues.apache.org/jira/browse/SPARK-14051?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-14051: ------------------------------------ Assignee: Apache Spark > Implement `Double.NaN==Float.NaN` in `row.equals` for consistency > ----------------------------------------------------------------- > > Key: SPARK-14051 > URL: https://issues.apache.org/jira/browse/SPARK-14051 > Project: Spark > Issue Type: Bug > Components: SQL > Reporter: Dongjoon Hyun > Assignee: Apache Spark > Priority: Minor > > Since SPARK-9079 and SPARK-9145, `NaN = NaN` returns true and works well. The > only exception case is direct comparison between `Row(Float.NaN)` and > `Row(Double.NaN)`. The following is the example: the last expression should > be true for consistency. > {code} > scala> > Seq((1d,1f),(Double.NaN,Float.NaN)).toDF("a","b").registerTempTable("tmp") > scala> sql("select a,b,a=b from tmp").collect() > res1: Array[org.apache.spark.sql.Row] = Array([1.0,1.0,true], [NaN,NaN,true]) > scala> val row_a = sql("select a from tmp").collect() > row_a: Array[org.apache.spark.sql.Row] = Array([1.0], [NaN]) > scala> val row_b = sql("select b from tmp").collect() > row_b: Array[org.apache.spark.sql.Row] = Array([1.0], [NaN]) > scala> row_a(0) == row_b(0) > res2: Boolean = true > scala> row_a(1) == row_b(1) > res3: Boolean = false > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org