Read Geojson file using Sedona Context in Databricks

[Kunal_Mishra]

Hi Everyone,

I am trying to read a geojson file in Databricks using the following syntax as mentioned in the apache sedona official docs Load Geojson Data

I am using Sedon 1.6.1 Version which supports this feature but i am getting an error as mentioned below

df = sedona.read.format("geojson").option("multiLine", "true").load("PATH/TO/MYFILE.json") .selectExpr("explode(features) as features") # Explode the envelope to get one feature per row. .select("features.*") # Unpack the features struct. .withColumn("prop0", f.expr("properties['prop0']")).drop("properties").drop("type")

 Error :
Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.json.JsonDataSource.readFile(Lorg/apache/hadoop/conf/Configuration;Lorg/apache/spark/sql/execution/datasources/PartitionedFile;Lorg/apache/spark/sql/catalyst/json/JacksonParser;Lorg/apache/spark/sql/types/StructType;)Lscala/collection/Iterator;

I am using the following Jars and Libraries as mentioned below

• geotools-wrapper-1.6.1-28.2.jar
• sedona-spark-shaded-3.4_2.12-1.6.1.jar (Have tried with sedona-spark-shaded-3.5_2.12-1.6.1.jar also)

I have installed the following libraries

• apache-sedona==1.6.1
• geopandas==0.11.1
• keplergl==0.3.2
• pydeck==0.8.0

Kindly assist me as to how can i fix this. For now i am using spark context to read the geojson file and it is working but i want to use the feature of sedona since it will reduce the number of steps to extract the Polygon Coordinates.

[filipniziol]

Hi @Kunal_Mishra ,

The error you are experiencing with Sedona when trying to read a GeoJSON file in Databricks (java.lang.NoSuchMethodError) often indicates a compatibility issue between the Spark version you're using and the Sedona library.

Sedona has specific compatibility requirements with Apache Spark. You need to ensure that the versions of Spark, Scala, and Sedona you are using are all compatible. For example:

• sedona-spark-shaded-3.4_2.12-1.6.1.jar is compatible with Spark 3.4 and Scala 2.12.
• sedona-spark-shaded-3.5_2.12-1.6.1.jar is compatible with Spark 3.5 and Scala 2.12.
  
  

Could you check you Databricks Runtime and make sure it is compatible with the sedona version you are using.
Here is the link to check DBR: 
https://docs.databricks.com/en/release-notes/runtime/index.html