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Posted to issues@spark.apache.org by "Abhishek Verma (JIRA)" <ji...@apache.org> on 2018/11/13 14:51:01 UTC
[jira] [Updated] (SPARK-26039) Reading an empty folder as ORC
causes an Analysis Exception
[ https://issues.apache.org/jira/browse/SPARK-26039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Abhishek Verma updated SPARK-26039:
-----------------------------------
Description:
{\{val df = spark.read.format("orc").load(orcEmptyFolderPath) }}
{{org.apache.spark.sql.AnalysisException: Unable to infer schema for ORC. It must be specified manually.; at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:184) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178) ... 49 elided}}
{{try
{ spark.read.format("orc").load(path) }
catch { case ex: org.apache.spark.sql.AnalysisException =>
{ null }
}}}
was:
{\{val df = spark.read.format("orc").load(orcFolderPath) }}
{{org.apache.spark.sql.AnalysisException: Unable to infer schema for ORC. It must be specified manually.; at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:184) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178) ... 49 elided}}
{{try
{ spark.read.format("orc").load(path) }
catch { case ex: org.apache.spark.sql.AnalysisException =>
{ null }
}}}
> Reading an empty folder as ORC causes an Analysis Exception
> -----------------------------------------------------------
>
> Key: SPARK-26039
> URL: https://issues.apache.org/jira/browse/SPARK-26039
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 2.3.0
> Reporter: Abhishek Verma
> Priority: Minor
>
>
>
> {\{val df = spark.read.format("orc").load(orcEmptyFolderPath) }}
>
> {{org.apache.spark.sql.AnalysisException: Unable to infer schema for ORC. It must be specified manually.; at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:184) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178) ... 49 elided}}
>
> {{try
> { spark.read.format("orc").load(path) }
> catch { case ex: org.apache.spark.sql.AnalysisException =>
> { null }
> }}}
>
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