I am trying to use Spark 2.4.3 built for Hadoop 2.7.3 to talk to Cassandra.
table_df = sqlContext.read \
.format("org.apache.spark.sql.cassandra")\
.options(table="xxxx", keyspace="yyy")\
.load()
When I call table_dr.show(); it is throwing the following exception.
Note that the pyspark submit JVM is running inside a container. I have a proxy that forwards traffic to spark.driver.port on the HOST to the container. Help me understand what this TorrentBroadcast issue is all about. Thanks
Py4JJavaError: An error occurred while calling o70.showString. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, 172.16.104.84, executor 0): java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0 at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1333) at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:207) at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66) at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66) at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96) at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:84) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0
