Punit Shah created SPARK-32888:
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Summary: 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: Bug
Components: Spark Core
Affects Versions: 3.0.1, 3.0.0, 2.4.7, 2.4.6, 2.4.5
Reporter: Punit Shah
* 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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