From e67e454a3dbae6fed8267ba8849e455012064d25 Mon Sep 17 00:00:00 2001 From: Dewey Dunnington Date: Thu, 6 Feb 2025 04:29:01 +0000 Subject: [PATCH] lint --- docs/tutorial/sql.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorial/sql.md b/docs/tutorial/sql.md index c286e08867..009a21c87e 100644 --- a/docs/tutorial/sql.md +++ b/docs/tutorial/sql.md @@ -1662,7 +1662,7 @@ You can use `StructuredAdapter` and the `spatialRDD.spatialPartitioningWithoutDu ```java spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE) // Specify the desired number of partitions as 10, though the actual number may vary - // spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE, 10) + // spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE, 10) Dataset spatialDf = StructuredAdapter.toSpatialPartitionedDf(spatialRDD, sedona) ```