Github user clockfly commented on a diff in the pull request: https://github.com/apache/spark/pull/14921#discussion_r77292448 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala --- @@ -314,12 +314,8 @@ case class DataSource( /** * Create a resolved [[BaseRelation]] that can be used to read data from or write data into this * [[DataSource]] - * - * @param checkPathExist A flag to indicate whether to check the existence of path or not. - * This flag will be set to false when we create an empty table (the - * path of the table does not exist). */ - def resolveRelation(checkPathExist: Boolean = true): BaseRelation = { + def resolveRelation(): BaseRelation = { --- End diff -- @gatorsmile I means write path. When createRelation() is called on a RelationProvider, RelationProvider may do some extra check to make sure the options provided are valid. We'd better enforce the check when trying to create a managed table. For example, JdbcRelationProvider will validate the options ``` class JdbcRelationProvider extends RelationProvider with DataSourceRegister { override def shortName(): String = "jdbc" /** Returns a new base relation with the given parameters. */ override def createRelation( sqlContext: SQLContext, parameters: Map[String, String]): BaseRelation = { val jdbcOptions = new JDBCOptions(parameters) if (jdbcOptions.partitionColumn != null && (jdbcOptions.lowerBound == null || jdbcOptions.upperBound == null || jdbcOptions.numPartitions == null)) { sys.error("Partitioning incompletely specified") } val partitionInfo = if (jdbcOptions.partitionColumn == null) { null } else { JDBCPartitioningInfo( jdbcOptions.partitionColumn, jdbcOptions.lowerBound.toLong, jdbcOptions.upperBound.toLong, jdbcOptions.numPartitions.toInt) } val parts = JDBCRelation.columnPartition(partitionInfo) val properties = new Properties() // Additional properties that we will pass to getConnection parameters.foreach(kv => properties.setProperty(kv._1, kv._2)) JDBCRelation(jdbcOptions.url, jdbcOptions.table, parts, properties)(sqlContext.sparkSession) } } ```
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