ruanqizhen opened a new issue, #1743:
URL: https://github.com/apache/sedona/issues/1743
## Actual behavior
I'm attempting to apply DBSCAN to my data, but I'm encountering an error. To
troubleshoot, I tested it with the example data provided in the Sedona
documentation and received the same error. Can anyone suggest what might be
causing the issue and how I can resolve it?
It was running on AWS Glue, the error message:
> An error occurred while calling
z:org.apache.sedona.stats.clustering.DBSCAN.dbscan. Checkpoint directory has
not been set in the SparkContext.
The code:
```python
from sedona.spark import *
from sedona.stats.clustering.dbscan import dbscan
config = (
SedonaContext.builder()
.config(
"spark.jars.packages",
"org.apache.sedona:sedona-spark-shaded-3.0_2.12:1.7.0,"
"org.datasyslab:geotools-wrapper:1.7.0-28.2",
)
.getOrCreate()
)
spark = SedonaContext.create(config)
import pyspark.sql.functions as F
import pyspark.sql.types as T
from pyspark.sql import Row
data = [
Row(wkt="POINT (2.5 4)", id=3),
Row(wkt="POINT (3 4)", id=2),
Row(wkt="POINT (3 5)", id=5),
Row(wkt="POINT (1 3)", id=9),
Row(wkt="POINT (2.5 4.5)", id=7),
Row(wkt="POINT (1 2)", id=1),
Row(wkt="POINT (1.5 2.5)", id=4),
Row(wkt="POINT (1.2 2.5)", id=8),
Row(wkt="POINT (1 2.5)", id=11),
Row(wkt="POINT (1 5)", id=10),
Row(wkt="POINT (5 6)", id=12),
Row(wkt="POINT (12.8 4.5)", id=6),
Row(wkt="POINT (4 3)", id=13),
]
df = spark.createDataFrame(data)
df = df.withColumn(
"geometry", F.expr("ST_GeomFromWKT(wkt)")
)
dbscan(df, 0.15, 1).write.mode(
"overwrite"
).parquet(
"s3://omf-internal-usw2/test/"
)
```
## Settings
Sedona version = 1.7.0
Apache Spark version = 3.3
Apache Flink version = ?
API type = Python
Scala version = 2.12
JRE version = ?
Python version = 3
Environment = AWS Glue 4.0
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