remibaar opened a new issue, #1137:
URL: https://github.com/apache/sedona/issues/1137
## Expected behavior
When following the install information to use Sedona with Databricks.
When using `ST_H3CellIDs`
I expect to get the H3 indices of the given polygon.
As example I run this SQL query:
```sql
SELECT ST_H3CellIDs(ST_GeomFromText('POLYGON((0 0, 10 0, 10 10, 0 10, 0
0))'), 12, FALSE)
```
## Actual behavior
I get this error:
```
NoSuchMethodException: java.lang.NoSuchMethodError:
com.uber.h3core.H3Core.polygonToCells(Ljava/util/List;Ljava/util/List;I)Ljava/util/List;
```
## Steps to reproduce the problem
I used both the pip installation route, and the pure SQL on Databricks.
- https://sedona.apache.org/1.5.0/setup/install-python/
-
https://sedona.apache.org/1.5.0/setup/databricks/#install-sedona-from-the-init-script
Both result in the same error.
## Settings
Environment Azure Databricks
**Databricks runtime: 13.3 LTS**
Operating System: Ubuntu 22.04.2 LTS
Java: Zulu 8.70.0.23-CA-linux64
Scala: 2.12.15
Python: 3.10.12
R: 4.2.2
Delta Lake: 2.4.0
## Thoughts
I thought H3 might not be included in the shaded version. So I also tried to
add the `h3-4.1.1.jar` to the init script. But this also doesn't solve the
issue.
I finally used these scripts:
**Download jars**
```bash
# Create JAR directory for Sedona
mkdir -p /dbfs/FileStore/sedona/jars
# Remove contents of directory
rm -f /dbfs/FileStore/sedona/jars/*.jar
# Download the dependencies from Maven into DBFS
curl -o /dbfs/FileStore/sedona/jars/geotools-wrapper-1.5.0-28.2.jar
"https://repo1.maven.org/maven2/org/datasyslab/geotools-wrapper/1.5.0-28.2/geotools-wrapper-1.5.0-28.2.jar";
curl -o /dbfs/FileStore/sedona/jars/sedona-spark-shaded-3.4_2.12-1.5.0.jar
"https://repo1.maven.org/maven2/org/apache/sedona/sedona-spark-shaded-3.4_2.12/1.5.0/sedona-spark-shaded-3.4_2.12-1.5.0.jar";
curl -o /dbfs/FileStore/sedona/jars/h3-4.1.1.jar
"https://repo1.maven.org/maven2/com/uber/h3/4.1.1/h3-4.1.1.jar";
```
**Create init script**
```bash
# Create init script
cat > /dbfs/FileStore/sedona/scripts/sedona-init.sh <<'EOF'
#!/bin/bash
#
# File: sedona-init.sh
#
# On cluster startup, this script will copy the Sedona jars to the cluster's
default jar directory.
# In order to activate Sedona functions, remember to add to your spark
configuration the Sedona extensions: "spark.sql.extensions
org.apache.sedona.viz.sql.SedonaVizExtensions,org.apache.sedona.sql.SedonaSqlExtensions"
cp /dbfs/FileStore/sedona/jars/*.jar /databricks/jars
EOF
```
All the other functions of Sedona do work. So Sedona is installed properly,
I am only unable to use the H3 functions.
Did I miss a step in the set-up? I checked the documentation multiple times,
but couldn't find any clue. I hope someone can help me out.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsubscr...@sedona.apache.org.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
