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https://issues.apache.org/jira/browse/SPARK-16054?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15338411#comment-15338411
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Apache Spark commented on SPARK-16054:
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User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/13770
> Verification of DataFrameReader API Usage
> -----------------------------------------
>
> Key: SPARK-16054
> URL: https://issues.apache.org/jira/browse/SPARK-16054
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Xiao Li
>
> Below are potential user errors when using DataFrameReader APIs
> {noformat}
> // not allowed to specify format when reading tables from catalog
> spark.read.format("parquet").table(tableName)
> // not allowed to specify schema when reading tables from catalog
> val schema = StructType(StructField("c1", IntegerType) :: Nil)
> spark.read.schema(schema).table(tableName)
> // not allowed to specify options when reading tables from catalog
> spark.read.options(Map("header" -> "true", "mode" ->
> "dropmalformed")).table(tableName)
> // not allowed to specify the format more than once
> spark.read.format(format).json(path.getCanonicalPath)
> // not allowed to specify schema more than once.
> spark.read.schema(schema1).schema(schema2).json(path.getCanonicalPath)
> {noformat}
> We should issue errors when detecting these user errors.
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