From b825d8a0439d6dce6898dbe4e50377e277f35a3f Mon Sep 17 00:00:00 2001 From: hyukjinkwon Date: Sun, 29 Apr 2018 16:07:24 +0800 Subject: [PATCH] Fix a broken link for Arrow's supported types in the programming guide --- docs/sql-programming-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index e8ff1470970f7..836ce990205a9 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -1703,7 +1703,7 @@ 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 SQL Types](#supported-sql-arrow-types). If an error occurs during `createDataFrame()`, +see [Supported SQL Types](#supported-sql-types). If an error occurs during `createDataFrame()`, Spark will fall back to create the DataFrame without Arrow. ## Pandas UDFs (a.k.a. Vectorized UDFs)