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https://issues.apache.org/jira/browse/SPARK-17492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan resolved SPARK-17492.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15046
[https://github.com/apache/spark/pull/15046]
> Reading Cataloged Data Sources without Extending SchemaRelationProvider
> -----------------------------------------------------------------------
>
> Key: SPARK-17492
> URL: https://issues.apache.org/jira/browse/SPARK-17492
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Xiao Li
> Fix For: 2.1.0
>
>
> For data sources without extending `SchemaRelationProvider`, we expect users
> to not specify schemas when they creating tables. If the schema is input from
> users, an exception is issued.
> Since Spark 2.1, for any data source, to avoid infer the schema every time,
> we store the schema in the metastore catalog. Thus, when reading a cataloged
> data source table, the schema could be read from metastore catalog. In this
> case, we also got an exception. For example,
> {noformat}
> sql(
> s"""
> |CREATE TABLE relationProvierWithSchema
> |USING org.apache.spark.sql.sources.SimpleScanSource
> |OPTIONS (
> | From '1',
> | To '10'
> |)
> """.stripMargin)
> spark.table(tableName).show()
> {noformat}
> {noformat}
> org.apache.spark.sql.sources.SimpleScanSource does not allow user-specified
> schemas.;
> {noformat}
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