[
https://issues.apache.org/jira/browse/SPARK-23692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16400106#comment-16400106
]
Apache Spark commented on SPARK-23692:
--------------------------------------
User 'caneGuy' has created a pull request for this issue:
https://github.com/apache/spark/pull/20833
> Print metadata of files when infer schema failed
> ------------------------------------------------
>
> Key: SPARK-23692
> URL: https://issues.apache.org/jira/browse/SPARK-23692
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: zhoukang
> Priority: Minor
>
> A trivial modify.
> Currently, when we had no input files to infer schema,we will throw below
> exception.
> For some users it may be misleading.If we can print files' metadata it will
> be more clearer.
> {code:java}
> Caused by: org.apache.spark.sql.AnalysisException: Unable to infer schema for
> Parquet. It must be specified manually.;
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:189)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:189)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$getOrInferFileFormatSchema(DataSource.scala:188)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:387)
> at
> org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
> at
> org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:441)
> at
> org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:425)
> at
> com.xiaomi.matrix.pipeline.jobspark.importer.MatrixAdEventDailyImportJob.<init>(MatrixAdEventDailyImportJob.scala:18)
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
