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Posted to issues@spark.apache.org by "Punit Shah (Jira)" <ji...@apache.org> on 2020/09/16 14:56:00 UTC
[jira] [Comment Edited] (SPARK-32888) reading a parallized rdd with
two identical records results in a zero count df when read via
spark.read.csv
[ https://issues.apache.org/jira/browse/SPARK-32888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17196985#comment-17196985 ]
Punit Shah edited comment on SPARK-32888 at 9/16/20, 2:55 PM:
--------------------------------------------------------------
Why do we remove lines that are the same as the header? The result of this behaviour differs from reading csv files directly as opposed to from rdds.
[~viirya] would appreciate comment.... thanks...
was (Author: bullsoverbears):
Why do we remove lines that are the same as the header? The result of this behaviour differs from reading csv files directly as opposed to from rdds.
> reading a parallized rdd with two identical records results in a zero count df when read via spark.read.csv
> -----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-32888
> URL: https://issues.apache.org/jira/browse/SPARK-32888
> Project: Spark
> Issue Type: Documentation
> Components: Spark Core
> Affects Versions: 2.4.5, 2.4.6, 2.4.7, 3.0.0, 3.0.1
> Reporter: Punit Shah
> Assignee: L. C. Hsieh
> Priority: Minor
> Fix For: 2.4.8, 3.0.2, 3.1.0
>
>
> * Imagine a two-row csv file like so (where the header and first record are duplicate rows):
> aaa,bbb
> aaa,bbb
> * The following is pyspark code
> * create a parallelized rdd like: {color:#FF0000}prdd = spark.read.text("test.csv").rdd.flatMap(lambda x : x){color}
> * {color:#172b4d}create a df like so: {color:#de350b}mydf = spark.read.csv(prdd, header=True){color}{color}
> * {color:#172b4d}{color:#de350b}df.count(){color:#172b4d} will result in a record count of zero (when it should be 1){color}{color}{color}
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