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From cloud-fan <>
Subject [GitHub] spark pull request #15046: [SPARK-17492] [SQL] Fix Reading Cataloged Data So...
Date Sun, 18 Sep 2016 08:42:41 GMT
Github user cloud-fan commented on a diff in the pull request:
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
    @@ -318,24 +319,28 @@ case class DataSource(
       def resolveRelation(): BaseRelation = {
         val caseInsensitiveOptions = new CaseInsensitiveMap(options)
    -    val relation = (providingClass.newInstance(), userSpecifiedSchema) match {
    +    val relation = (providingClass.newInstance(), inputSchema) match {
           // TODO: Throw when too much is given.
           case (dataSource: SchemaRelationProvider, Some(schema)) =>
             dataSource.createRelation(sparkSession.sqlContext, caseInsensitiveOptions, schema)
           case (dataSource: RelationProvider, None) =>
             dataSource.createRelation(sparkSession.sqlContext, caseInsensitiveOptions)
           case (_: SchemaRelationProvider, None) =>
             throw new AnalysisException(s"A schema needs to be specified when using $className.")
    -      case (_: RelationProvider, Some(_)) =>
    -        throw new AnalysisException(s"$className does not allow user-specified schemas.")
    +      case (dataSource: RelationProvider, Some(_)) =>
    +        if (isSchemaFromUsers) {
    +          throw new AnalysisException(s"$className does not allow user-specified schemas.")
    +        } else {
    +          dataSource.createRelation(sparkSession.sqlContext, caseInsensitiveOptions)
    --- End diff --
    If the `RelationProvider` doesn't allow user-specified schema, can we assume it's cheap
to infer schema for it? Then we can simply check if the given schema matches the schema of
relation returned by `createRelation`

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