[jira] [Commented] (SPARK-29068) CSV read reports incorrect row count
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https://issues.apache.org/jira/browse/SPARK-29068?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16929158#comment-16929158
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Sandeep Katta commented on SPARK-29068:
---
looks similar to
[SPARK-29058|https://issues.apache.org/jira/browse/SPARK-29058], anyways I
will look into this issue
> CSV read reports incorrect row count
>
>
> Key: SPARK-29068
> URL: https://issues.apache.org/jira/browse/SPARK-29068
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.4.4
>Reporter: Thomas Diesler
>Priority: Major
>
> Reading the [SFNY example
> data|https://github.com/jadeyee/r2d3-part-1-data/blob/master/part_1_data.csv]
> in Java like this ...
> {code:java}
> Path srcdir = Paths.get("src/test/resources");
> Path inpath = srcdir.resolve("part_1_data.csv");
> SparkSession session = getOrCreateSession();
> Dataset dataset = session.read()
> //.option("header", true)
> .option("mode", "DROPMALFORMED")
> .schema(new StructType()
> .add("insf", IntegerType, false)
> .add("beds", DoubleType, false)
> .add("baths", DoubleType, false)
> .add("price", IntegerType, false)
> .add("year", IntegerType, false)
> .add("sqft", IntegerType, false)
> .add("prcsqft", IntegerType, false)
> .add("elevation", IntegerType, false))
> .csv(inpath.toString());
> {code}
> Incorrectly reports 495 instead of 492 rows. It seems to include the three
> header rows in the count.
> Also, without DROPMALFORMED it creates 495 rows with three null value rows.
> This also seems to be incorrect because the schema explicitly requires non
> null values for all fields.
> This code works fine with Spark-2.1.0
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[jira] [Commented] (SPARK-29068) CSV read reports incorrect row count
[
https://issues.apache.org/jira/browse/SPARK-29068?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16928686#comment-16928686
]
HondaWei commented on SPARK-29068:
--
[~tdiesler], May you provide your test CSV data?
thanks!
> CSV read reports incorrect row count
>
>
> Key: SPARK-29068
> URL: https://issues.apache.org/jira/browse/SPARK-29068
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.4.4
>Reporter: Thomas Diesler
>Priority: Major
>
> Reading the [SFNY example
> data|https://github.com/jadeyee/r2d3-part-1-data/blob/master/part_1_data.csv]
> in Java like this ...
> {code:java}
> Path srcdir = Paths.get("src/test/resources");
> Path inpath = srcdir.resolve("part_1_data.csv");
> SparkSession session = getOrCreateSession();
> Dataset dataset = session.read()
> //.option("header", true)
> .option("mode", "DROPMALFORMED")
> .schema(new StructType()
> .add("insf", IntegerType, false)
> .add("beds", DoubleType, false)
> .add("baths", DoubleType, false)
> .add("price", IntegerType, false)
> .add("year", IntegerType, false)
> .add("sqft", IntegerType, false)
> .add("prcsqft", IntegerType, false)
> .add("elevation", IntegerType, false))
> .csv(inpath.toString());
> {code}
> Incorrectly reports 495 instead of 492 rows. It seems to include the three
> header rows in the count.
> Also, without DROPMALFORMED it creates 495 rows with three null value rows.
> This also seems to be incorrect because the schema explicitly requires non
> null values for all fields.
> This code works fine with Spark-2.1.0
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