scio / apache beam java.lang.IllegalArgumentException:无法序列化方法

时间:2017-09-18 11:19:30

标签: scala apache-beam dataflow json4s spotify-scio

我正在尝试使用数据流将一些数据从pub sub移动到云存储。我需要为scio / beam提供时间戳,以便它可以将数据分组到窗口中。

我有一个简单的案例类来模拟我的事件,它看起来像这样(删除了一些字段)

case class DataEvent(source: String,                      
                     record: AnyRef,
                     timestampUtc: DateTime,
                     publishedUtc: DateTime)

我的管道从此开始。 pub子中的事件以json格式表示,我使用json4s反序列化:

sc
                 .pubsubSubscription[String]("subscription")
                 .map(event => parse(event).camelizeKeys.extract[DataEvent])
                 .timestampBy({ event => event.timestampUtc.toInstant })

在相同的范围内,我有一个定义Json4s的implcit格式

 implicit val formats: Formats = new DefaultFormats {
      override def dateFormatter = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSS'Z'")
    } ++ org.json4s.ext.JodaTimeSerializers.all

我正在使用jodatis支持的json4s.ext,注意案例类中的日期时间是joda时间。此扩展库似乎存在一些问题,因为我得到以下异常:

java.lang.IllegalArgumentException: unable to serialize anonymous function map@{PubSubToGcsJob.scala:78}
java.lang.IllegalArgumentException: unable to serialize anonymous function map@{PubSubToGcsJob.scala:78}
    at org.apache.beam.sdk.util.SerializableUtils.serializeToByteArray(SerializableUtils.java:53)
    at org.apache.beam.sdk.util.SerializableUtils.clone(SerializableUtils.java:90)
    at org.apache.beam.sdk.transforms.ParDo$SingleOutput.<init>(ParDo.java:591)
    at org.apache.beam.sdk.transforms.ParDo.of(ParDo.java:435)
    at com.spotify.scio.values.PCollectionWrapper$class.parDo(PCollectionWrapper.scala:58)
    at com.spotify.scio.values.SCollectionImpl.parDo(SCollection.scala:1181)
    at com.spotify.scio.values.SCollection$class.map(SCollection.scala:359)
    at com.spotify.scio.values.SCollectionImpl.map(SCollection.scala:1181)
    at PubSubToGcsJob$.main(PubSubToGcsJob.scala:78)
    at PubSubToGcsJob.main(PubSubToGcsJob.scala)
    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)
Caused by: java.io.NotSerializableException: org.json4s.ext.IntervalSerializer$$anon$1
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1184)
    at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
    at scala.collection.immutable.List$SerializationProxy.writeObject(List.scala:468)
    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 java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
    at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
    at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
    at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
    at org.apache.beam.sdk.util.SerializableUtils.serializeToByteArray(SerializableUtils.java:49)
    at org.apache.beam.sdk.util.SerializableUtils.clone(SerializableUtils.java:90)
    at org.apache.beam.sdk.transforms.ParDo$SingleOutput.<init>(ParDo.java:591)
    at org.apache.beam.sdk.transforms.ParDo.of(ParDo.java:435)
    at com.spotify.scio.values.PCollectionWrapper$class.parDo(PCollectionWrapper.scala:58)
    at com.spotify.scio.values.SCollectionImpl.parDo(SCollection.scala:1181)
    at com.spotify.scio.values.SCollection$class.map(SCollection.scala:359)
    at com.spotify.scio.values.SCollectionImpl.map(SCollection.scala:1181)
    at PubSubToGcsJob$.main(PubSubToGcsJob.scala:78)
    at PubSubToGcsJob.main(PubSubToGcsJob.scala)
    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)

我尝试了一下我在哪里制作了timestampUtc和publishedUtc字符串的类型,只是解析了我的管道中的字符串,如下所示:

val formatter = DateTimeFormat.forPattern("yyyy-MM-dd'T'HH:mm:ss.SSS'Z'")

and in the pipeline

                 .timestampBy({ event => formatter.parseDateTime(event.timestampUtc).toInstant })

但是我得到了一个类似的例外:

java.lang.IllegalArgumentException: unable to serialize org.apache.beam.sdk.transforms.WithTimestamps$AddTimestampsDoFn@7b7a1a8f
java.lang.IllegalArgumentException: unable to serialize org.apache.beam.sdk.transforms.WithTimestamps$AddTimestampsDoFn@7b7a1a8f
    at org.apache.beam.sdk.util.SerializableUtils.serializeToByteArray(SerializableUtils.java:53)
    at org.apache.beam.sdk.util.SerializableUtils.clone(SerializableUtils.java:90)
... etc

为什么会发生这种情况,我该如何解决?

由于

1 个答案:

答案 0 :(得分:1)

当lambda函数从其闭包中提取无法序列化的内容时,会发生这种情况。在这种情况下,我怀疑是val formatter

一种解决方法是将val移动到伴随对象,以便在worker上进行静态初始化,而无需通过ser / de进行操作。例如:

object Util { val formatter = ... }

有关更多详细信息,请参见: https://www.lyh.me/lambda-serialization.html