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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/10/07 08:05:15 UTC

[GitHub] [spark] cloud-fan commented on a change in pull request #25651: [SPARK-28948][SQL] Support passing all Table metadata in TableProvider

cloud-fan commented on a change in pull request #25651: [SPARK-28948][SQL] Support passing all Table metadata in TableProvider
URL: https://github.com/apache/spark/pull/25651#discussion_r331886955
 
 

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 File path: sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableProvider.java
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 @@ -36,26 +35,12 @@
 public interface TableProvider {
 
   /**
-   * Return a {@link Table} instance to do read/write with user-specified options.
+   * Return a {@link Table} instance with the given table options to do read/write.
+   * Implementations should infer the table schema and partitioning.
    *
    * @param options the user-specified options that can identify a table, e.g. file path, Kafka
    *                topic name, etc. It's an immutable case-insensitive string-to-string map.
    */
+  // TODO: this should take a Map<String, String> as table properties.
 
 Review comment:
   Then API is limited to the assumption that schema inference depends on partition inference. This is true for file source, but I'm not sure if it's true to all data sources.
   
   Shall we stick to the current proposal that has 2 `getTable` methods?

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