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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/08/16 16:00:00 UTC
[jira] [Assigned] (SPARK-25134) Csv column pruning with checking of
headers throws incorrect error
[ https://issues.apache.org/jira/browse/SPARK-25134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25134:
------------------------------------
Assignee: Apache Spark
> Csv column pruning with checking of headers throws incorrect error
> ------------------------------------------------------------------
>
> Key: SPARK-25134
> URL: https://issues.apache.org/jira/browse/SPARK-25134
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.1
> Environment: spark master branch at a791c29bd824adadfb2d85594bc8dad4424df936
> Reporter: koert kuipers
> Assignee: Apache Spark
> Priority: Minor
>
> hello!
> seems to me there is some interaction between csv column pruning and the checking of csv headers that is causing issues. for example this fails:
> {code:scala}
> Seq(("a", "b")).toDF("columnA", "columnB").write
> .format("csv")
> .option("header", true)
> .save(dir)
> spark.read
> .format("csv")
> .option("header", true)
> .option("enforceSchema", false)
> .load(dir)
> .select("columnA")
> .show
> {code}
> the error is:
> {code:bash}
> 291.0 (TID 319, localhost, executor driver): java.lang.IllegalArgumentException: Number of column in CSV header is not equal to number of fields in the schema:
> [info] Header length: 1, schema size: 2
> {code}
> if i remove the project it works fine. if i disable column pruning it also works fine.
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