jiayuasu commented on code in PR #1744:
URL: https://github.com/apache/sedona/pull/1744#discussion_r1908425801
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docs/tutorial/sql.md:
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@@ -858,6 +858,10 @@ The algorithm is available as a Scala and Python function
called on a spatial da
The first parameter is the dataframe, the next two are the epsilon and
min_points parameters of the DBSCAN algorithm.
+!!!Note
+ The sparkContext's checkpoint directory must be set to use DBSCAN.
Sedona's DBSCAN implementation uses Graphframes
+ which requires a checkpoint directory to be set. This can be done by
calling `sparkContext.setCheckpointDir("path/to/checkpoint")`.
Review Comment:
@james-willis then we need to explain what a checkPointDir is via our doc.
We should give examples about how to set this dir (locally, on S3, HDFS, ...).
Distributed DBSCAN is highly anticipated by the community so we should make it
easy to get started.
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