Github user weiqingy commented on a diff in the pull request:
https://github.com/apache/spark/pull/15522#discussion_r83772075
--- Diff: docs/sql-programming-guide.md ---
@@ -422,7 +422,7 @@ In the simplest form, the default data source
(`parquet` unless otherwise config
You can also manually specify the data source that will be used along with
any extra options
that you would like to pass to the data source. Data sources are specified
by their fully qualified
name (i.e., `org.apache.spark.sql.parquet`), but for built-in sources you
can also use their short
-names (`json`, `parquet`, `jdbc`). DataFrames loaded from any data source
type can be converted into other types
+names (`json`, `parquet`, `jdbc`, `orc`, `libsvm`, `csv`). DataFrames
loaded from any data source type can be converted into other types
--- End diff --
Yes. Done.
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