我从AWS S3加载AVRO文件并将其写回镶木地板。
from pyspark.sql import SparkSession
from pyspark.sql.types import *
spark = SparkSession.builder.appName("AvroParquet").enableHiveSupport().getOrCreate()
in_path = "s3://my-bucket/avro-path/*.avro"
out_path = "s3://my-bucket/parquet-path/output.parquet"
df = spark.read.format("com.databricks.spark.avro").load(in_path)
df.write.save(out_path, format="parquet")
由于某些原因，我在撰写镶木地板时得到此NullPointerException。可能在阅读avro时看java.io.ObjectInputStream.readObject0。
App > Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: org.apache.spark.SparkException: Task failed while writing rows
App > at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:270)
App > at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
App > at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
App > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
App > at org.apache.spark.scheduler.Task.run(Task.scala:85)
App > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
App > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
App > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
App > at java.lang.Thread.run(Thread.java:745)
App > Caused by: java.io.IOException: java.lang.NullPointerException
App > at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1284)
App > at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:174)
App > at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:65)
App > at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:65)
App > at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:89)
App > at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
App > at com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:145)
App > at com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:143)
App > at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
App > at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
App > at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134)
App > at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:106)
App > at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
App > at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
App > at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
App > at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:262)
App > at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:261)
App > at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:261)
App > at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1359)
App > at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:267)
App > ... 8 more
App > Caused by: java.lang.NullPointerException
App > at com.databricks.spark.avro.DefaultSource$SerializableConfiguration.tryOrIOException(DefaultSource.scala:217)
App > at com.databricks.spark.avro.DefaultSource$SerializableConfiguration.readObject(DefaultSource.scala:207)
App > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
App > at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
App > at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
App > at java.lang.reflect.Method.invoke(Method.java:606)
App > at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
App > at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
App > at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
App > at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
App > at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
App > at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
App > at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$10.apply(TorrentBroadcast.scala:254)
App > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1321)
App > at org.apache.spark.broadcast.TorrentBroadcast$.unBlockifyObject(TorrentBroadcast.scala:255)
App > at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:189)
App > at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1277)
刚刚从1.6移动到2.0并且不确定问题是什么。使用包com.databricks:spark-avro_2.11:3.0.1。
似乎与https://github.com/databricks/spark-avro/issues/147有关，但应该用3.0.1修复。
答案 0 :(得分：2)
这个问题似乎与我的Spark配置设置有关，因为我能够在本地和通过EMR的Spark设置写入镶木地板。我在Github中创建了一个问题：https://github.com/databricks/spark-avro/issues/188。