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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