I use Sparkling Water 1.6.3, Spark 1.6.I use Java Oracle 8 or
OpenJDK-7:(every time I get this error when I transform Spark DataFrame into
H2O DataFrame. Spark cluster dies..):ERROR:py4j.java_gateway:Error while
sending or receiving.Traceback (most recent call last): File
".../Spark1.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 746,
in send_command raise Py4JError("Answer from Java side is
empty")Py4JError: Answer from Java side is emptyERROR:py4j.java_gateway:An
error occurred while trying to connect to the Java serverTraceback (most
recent call last): File
".../Spark1.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 690,
in start self.socket.connect((self.address, self.port)) File
"/usr/local/anaconda/lib/python2.7/socket.py", line 228, in meth return
getattr(self._sock,name)(*args)error: [Errno 111] Connection
refusedERROR:py4j.java_gateway:An error occurred while trying to connect to
the Java serverTraceback (most recent call last):My
conf-file:spark.serializer org.apache.spark.serializer.KryoSerializer
spark.kryoserializer.buffer.max 1500mbspark.driver.memory
65gspark.driver.extraJavaOptions -XX:-PrintGCDetails -XX:PermSize=35480m
-XX:-PrintGCTimeStamps -XX:-PrintTenuringDistribution
spark.python.worker.memory 65gspark.local.dir
/data/spark-tmpspark.ext.h2o.client.log.dir /data/h2ospark.logConf
falsespark.master local[*]spark.driver.maxResultSize 0spark.eventLog.enabled
Truespark.eventLog.dir /data/spark_logIn the code I use "persist" data
(amount of data is 5.7 GB).There is nothing in the h2olog-files.I guess that
there is enough memory.Could anyone help me?Thanks!
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