sparksql问题: java.lang.OutOfMemoryError: Unable to acquire 68 bytes of memory, got 0
The problem forme was indeed coalesce(). What I did was exporting thefilenot using coalesce() but parquet instead using df.write.parquet("testP").
Then readbackthefileand export thatwith coalesce(1).
问题二
Exit code: 52
Stack trace: ExitCodeException exitCode=52:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:561)
at org.apache.hadoop.util.Shell.run(Shell.java:478)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:738)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 52