lamber-ken edited a comment on issue #1034: Datasource Writer throws error on resolving struct fields URL: https://github.com/apache/incubator-hudi/issues/1034#issuecomment-556906589 hi, @alphairys, according to your describion, I can not get the error. My steps are bellow. ``` export SPARK_HOME=/work/BigData/install/spark/spark-2.3.3-bin-hadoop2.6 ${SPARK_HOME}/bin/spark-shell --packages org.apache.hudi:hudi-spark-bundle:0.5.0-incubating --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' import org.apache.hudi.QuickstartUtils._ import scala.collection.JavaConversions._ import org.apache.spark.sql.SaveMode._ import org.apache.hudi.DataSourceReadOptions._ import org.apache.hudi.DataSourceWriteOptions._ import org.apache.hudi.config.HoodieWriteConfig._ val tableName = "tmp" val basePath = "file:///tmp/tmp" var datas = List("{ \"deviceId\": \"aaaaa\", \"eventTimeMilli\": 1574297893836, \"location\": { \"latitude\": 2.5, \"longitude\": 3.5 }}"); val df = spark.read.json(spark.sparkContext.parallelize(datas, 2)) df.write.format("org.apache.hudi"). option(RECORDKEY_FIELD_OPT_KEY, "deviceId"). option(PRECOMBINE_FIELD_OPT_KEY, "eventTimeMilli"). option(TABLE_NAME, tableName). mode(Append). save(basePath); ```
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