[
https://issues.apache.org/jira/browse/SPARK-15909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Liam Fisk updated SPARK-15909:
------------------------------
Description:
PySpark behaves differently if the SparkContext is created within the REPL (vs
initialised by the shell).
My conf/spark-env.sh file contains:
{code}
#!/bin/bash
export SPARK_LOCAL_IP=172.20.30.158
export LIBPROCESS_IP=172.20.30.158
export MESOS_NATIVE_JAVA_LIBRARY=/usr/local/lib/libmesos.so
{code}
And when running pyspark it will correctly initialize my SparkContext. However,
when I run:
{code}
from pyspark import SparkContext, SparkConf
sc.stop()
conf = (
SparkConf()
.setMaster("mesos://zk://foo:2181/mesos")
.setAppName("Jupyter PySpark")
)
sc = SparkContext(conf=conf)
{code}
my `spark.driver.uri` and URL classpath will point to localhost (preventing my
mesos cluster from accessing the appropriate files)
was:
PySpark behaves differently if the SparkContext is created within the REPL (vs
initialised by the shell).
My conf/spark-env.sh file contains:
{code}
#!/bin/bash
export SPARK_LOCAL_IP=172.20.30.158
export LIBPROCESS_IP=172.20.30.158
export MESOS_NATIVE_JAVA_LIBRARY=/usr/local/lib/libmesos.so
{code}
And when running pyspark it will correctly initialize my SparkContext. However,
when I run:
{code}
from pyspark import SparkContext, SparkConf
sc.stop()
conf = (
SparkConf()
.setMaster("mesos://zk://foo:2181/mesos")
.setAppName("Jupyter PySpark")
)
sc = SparkContext(conf=conf)
{code}
it will point to localhost (preventing my mesos cluster from accessing the
appropriate files)
> PySpark classpath uri incorrectly set
> -------------------------------------
>
> Key: SPARK-15909
> URL: https://issues.apache.org/jira/browse/SPARK-15909
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.1
> Reporter: Liam Fisk
>
> PySpark behaves differently if the SparkContext is created within the REPL
> (vs initialised by the shell).
> My conf/spark-env.sh file contains:
> {code}
> #!/bin/bash
> export SPARK_LOCAL_IP=172.20.30.158
> export LIBPROCESS_IP=172.20.30.158
> export MESOS_NATIVE_JAVA_LIBRARY=/usr/local/lib/libmesos.so
> {code}
> And when running pyspark it will correctly initialize my SparkContext.
> However, when I run:
> {code}
> from pyspark import SparkContext, SparkConf
> sc.stop()
> conf = (
> SparkConf()
> .setMaster("mesos://zk://foo:2181/mesos")
> .setAppName("Jupyter PySpark")
> )
> sc = SparkContext(conf=conf)
> {code}
> my `spark.driver.uri` and URL classpath will point to localhost (preventing
> my mesos cluster from accessing the appropriate files)
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