conect opened a new issue, #807: URL: https://github.com/apache/sedona/issues/807
## Expected behavior Geojson is read and then written as dataframe to Postgresql DB ## Actual behavior Following error occurs: java.lang.IllegalArgumentException: Can't get JDBC type for array<tinyint> at org.apache.spark.sql.errors.QueryExecutionErrors$.cannotGetJdbcTypeError(QueryExecutionErrors.scala:674) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$getJdbcType$2(JdbcUtils.scala:181) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getJdbcType(JdbcUtils.scala:181) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$savePartition$5(JdbcUtils.scala:705) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$savePartition$5$adapted(JdbcUtils.scala:705) ## Steps to reproduce the problem ``` SparkSession spark = SparkSession.builder() .master("local[*]") // Delete this if run in cluster mode .appName("readTestScala") // Change this to a proper name // Enable Sedona custom Kryo serializer .config("spark.serializer", KryoSerializer.class.getName()) .config("spark.kryo.registrator", SedonaKryoRegistrator.class.getName()) .getOrCreate(); // org.apache.sedona.core.serde.SedonaKryoRegistrator SedonaSQLRegistrator.registerAll(spark); SedonaVizRegistrator.registerAll(spark); SpatialRDD spatialRDD1 = GeoJsonReader.readToGeometryRDD(JavaSparkContext.fromSparkContext(spark.sparkContext()),"./src/main/resources/features.json",false,false); spatialRDD1.CRSTransform("epsg:4326","epsg:3857"); Dataset<Row> d2 = Adapter.toDf(spatialRDD1,spark); d2.show(); System.out.println(d2.schema()); d2.write() .format("jdbc") .mode(SaveMode.Append ) .option("url", "jdbc:postgresql://somedb") .option("dbtable", "sometable") .option("user", "someuser") .option("password", "somepw") .save(); ``` ## Settings Sedona version = <dependency> <groupId>org.apache.sedona</groupId> <artifactId>sedona-python-adapter-3.0_2.12</artifactId> <version>1.3.1-incubating</version> </dependency> <dependency> <groupId>org.apache.sedona</groupId> <artifactId>sedona-viz-3.0_2.12</artifactId> <version>1.3.1-incubating</version> </dependency> Apache Spark version = <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.12</artifactId> <version>3.2.1</version> </dependency> Apache Flink version = ? API type = Java JRE version = 1.8 Environment = Standalone -- 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