[ https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17039508#comment-17039508 ]
Thomas Humphries commented on SPARK-26675: ------------------------------------------ *bump 2020* - issue still occurs with Spark 2.4.3 and Avro 2.12, using any of PySpark, Scala jar (2.12.8), or Java jar (1.8). Any use of {code:java} df.write.format("avro") {code} results in: {code:java} Exception in thread "main" 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) {code} ... etc as per OP. > 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, SQL > Affects Versions: 2.4.0 > Reporter: Tony Mao > Priority: Major > > 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) > at java.lang.Thread.run(Thread.java:748){code} > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org