Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/20531#discussion_r167026621
--- Diff: docs/sql-programming-guide.md ---
@@ -1676,7 +1676,7 @@ Using the above optimizations with Arrow will produce
the same results as when A
enabled. Note that even with Arrow, `toPandas()` results in the collection
of all records in the
DataFrame to the driver program and should be done on a small subset of
the data. Not all Spark
data types are currently supported and an error can be raised if a column
has an unsupported type,
-see [Supported Types](#supported-sql-arrow-types). If an error occurs
during `createDataFrame()`,
+see [Supported SQL Types](#supported-sql-arrow-types). If an error occurs
during `createDataFrame()`,
--- End diff --
Nice catch!
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
