Tony Mao created SPARK-26675: -------------------------------- Summary: Error happened during creating avro files Key: SPARK-26675 URL: https://issues.apache.org/jira/browse/SPARK-26675 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 2.4.0 Reporter: Tony Mao
Run cmd {code:java} spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 /nke/reformat.py {code} code in reformat.py {code:java} df = spark.read.option("multiline", "true").json("file:///nke/example1.json") df.createOrReplaceTempView("traffic") a = spark.sql("""SELECT store.*, store.name as store_name, store.dataSupplierId as store_dataSupplierId, trafficSensor.*, trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as trafficSensor_dataSupplierId, readings.* FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as trafficSensor, explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""") b = a.drop("trafficSensors", "trafficSensorReadings", "name", "dataSupplierId") b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro") {code} Error message: {code:java} Traceback (most recent call last): File "/nke/reformat.py", line 18, in <module> b.select("store_name", "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro") File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 736, in save File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__ File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o45.save. : java.lang.NoSuchMethodError: org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema; at org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185) at org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176) at org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99) at org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174) at org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118) at org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102) at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:668) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:276) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238){code} at java.lang.Thread.run(Thread.java:748) -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org