04-13-2023 06:09 AM
Hello, I'm using databricks-connect 9.1 and I started having issues since last week in all functions that have a "collect()". Everything was working before :
myList = df1.select("id").rdd.flatMap(lambda x: x).collect()
here the error :
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: java.io.StreamCorruptedException: invalid type code: 0E
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1700)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2431)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2355)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2213)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1669)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:2119)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1657)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2431)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2355)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2213)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1669)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:503)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:461)
at org.apache.spark.sql.util.ProtoSerializer.$anonfun$deserializeObject$1(ProtoSerializer.scala:6631)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at org.apache.spark.sql.util.ProtoSerializer.deserializeObject(ProtoSerializer.scala:6616)
at com.databricks.service.SparkServiceRPCHandler.execute0(SparkServiceRPCHandler.scala:728)
at com.databricks.service.SparkServiceRPCHandler.$anonfun$executeRPC0$1(SparkServiceRPCHandler.scala:477)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.service.SparkServiceRPCHandler.executeRPC0(SparkServiceRPCHandler.scala:372)
at com.databricks.service.SparkServiceRPCHandler$$anon$2.call(SparkServiceRPCHandler.scala:323)
at com.databricks.service.SparkServiceRPCHandler$$anon$2.call(SparkServiceRPCHandler.scala:309)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at com.databricks.service.SparkServiceRPCHandler.$anonfun$executeRPC$1(SparkServiceRPCHandler.scala:359)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.service.SparkServiceRPCHandler.executeRPC(SparkServiceRPCHandler.scala:336)
at com.databricks.service.SparkServiceRPCServlet.doPost(SparkServiceRPCServer.scala:167)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:707)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:790)
at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:799)
at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:550)
at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:190)
at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:501)
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141)
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:127)
at org.eclipse.jetty.server.Server.handle(Server.java:516)
at org.eclipse.jetty.server.HttpChannel.lambda$handle$1(HttpChannel.java:388)
at org.eclipse.jetty.server.HttpChannel.dispatch(HttpChannel.java:633)
at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:380)
at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:277)
at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:311)
at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:105)
at org.eclipse.jetty.io.ChannelEndPoint$1.run(ChannelEndPoint.java:104)
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:338)
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:315)
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:173)
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:131)
at org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:383)
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:882)
at org.eclipse.jetty.util.thread.QueuedThreadPool$Runner.run(QueuedThreadPool.java:1036)
at java.lang.Thread.run(Thread.java:750)
I'm using python 3.8.14 with databricks-connect==9.1.24
Have you ever had this issue ? I think it's probably comes for databricks-connect
04-15-2023 05:46 PM
@Julien Larcher :
Yes, it is possible that the issue you are experiencing with the StreamCorruptedException is related to Databricks Connect. This error occurs when the data being sent over the network is corrupted or the receiving end is unable to deserialize the received data.
One possible solution is to upgrade to the latest version of Databricks Connect, which at the time of writing is version 10.2. You can try upgrading by running the following command:
pip install databricks-connect==10.2.*
If upgrading Databricks Connect does not resolve the issue, you could also try the following:
04-15-2023 10:17 PM
Hi @Julien Larcher
Thank you for posting your question in our community! We are happy to assist you.
To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your question?
This will also help other community members who may have similar questions in the future. Thank you for your participation and let us know if you need any further assistance!
Join our fast-growing data practitioner and expert community of 80K+ members, ready to discover, help and collaborate together while making meaningful connections.
Click here to register and join today!
Engage in exciting technical discussions, join a group with your peers and meet our Featured Members.