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https://issues.apache.org/jira/browse/SPARK-18437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18437.
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Resolution: Done
Assignee: Hyukjin Kwon
> Inconsistent mark-down for `Note:`/`NOTE:`/`Note that` across
> Scala/Java/R/Python in API documentations
> -------------------------------------------------------------------------------------------------------
>
> Key: SPARK-18437
> URL: https://issues.apache.org/jira/browse/SPARK-18437
> Project: Spark
> Issue Type: Improvement
> Components: Documentation
> Affects Versions: 2.0.1
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
>
> It seems in Scala/Java,
> - {{Note:}}
> - {{NOTE:}}
> - {{Note that}}
> - {{'''Note:'''}}
> are used in a mixed way. The last one seems correct as it marks down
> correctly. This will, for example, mark down it pretty[1].
> Also, it seems some {{'''Note:'''}} s are wrongly placed[2] which looks like
> the {{Note:}} for the last argument (I believe it meant to be for the API).
> For Python,
> - {{Note:}}
> - {{NOTE:}}
> - {{Note that}}
> - {{.. note:}}
> In this case, I also believe the last one marks down pretty[3] rather than
> the others[4][5][6].
> For R, it seems there are also,
> - {{Note:}}
> - {{NOTE:}}
> - {{Note that}}
> - {{@note}}
> In case of R, it seems pretty consistent. {{@note}} only contains the
> information about when the function came out such as {{locate since 1.5.0}}
> without other information[7]. So, I am not too sure for this.
> It would be nicer if they are consistent, at least for Scala/Python/Java.
> [1]
> http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.SparkContext@hadoopFile[K,V,F<:org.apache.hadoop.mapred.InputFormat[K,V]](path:String)(implicitkm:scala.reflect.ClassTag[K],implicitvm:scala.reflect.ClassTag[V],implicitfm:scala.reflect.ClassTag[F]):org.apache.spark.rdd.RDD[(K,V)]
> (copy and paste all the URL here to check)
> [2]
> http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.SparkContext@hadoopRDD[K,V](conf:org.apache.hadoop.mapred.JobConf,inputFormatClass:Class[_<:org.apache.hadoop.mapred.InputFormat[K,V]],keyClass:Class[K],valueClass:Class[V],minPartitions:Int):org.apache.spark.rdd.RDD[(K,V)]
> (copy and paste all the URL here to check)
> [3]
> http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame.describe
> [4]
> http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.functions.date_format
> [5]
> http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.functions.grouping_id
> [6]
> http://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame.head
> [7] http://spark.apache.org/docs/latest/api/R/index.html (clieck {{locate}}
> API for the example)
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