Hi Stephen
I’m using emr-4.7.1 (Spark 1.6.1) EMR cluster to run pyspark through zeppelin.
I’ve downloaded the spark-riak-connector Jar file (Version: 1.6.0 ( 16d483 |
zip | jar ) / Date: 2016-09-07 / License: Apache-2.0 / Scala version: 2.10)
from https://spark-packages.org/package/basho/spark-riak-connector onto the EMR
master node.
My complete zeppelin script is as follows:
%dep
z.reset()
z.load("/home/hadoop/spark-riak-connector_2.10-1.6.0.jar")
%pyspark
import riak, datetime, time, random
host='172.31.00.00’
pb_port = '8087'
hostAndPort = ":".join([host, pb_port])
client = riak.RiakClient(host=host, pb_port=pb_port)
table=client.table("test")
%pyspark
site = 'AA'
species = 'fff'
start_date = int(time.time())
events = []
for i in range(9):
measurementDate = start_date + i
value = random.uniform(-20, 110)
events.append([site, species, measurementDate, value])
end_date = measurementDate
for e in events:
print e
testRDD = sc.parallelize(events)
df = testRDD.toDF(['site', 'species','measurementDate','value'])
df.show()
%pyspark
df.write \
.format('org.apache.spark.sql.riak') \
.option('spark.riak.connection.host', '172.31.41.86:8087') \
.mode('Append') \
.save('test')
If i run pyspark from the masternode directly with –jars
"/home/hadoop/spark-riak-connector_2.10-1.6.0.jar" it gives me the same error
message as above.
If i run pyspark from the masternode directly without the --jar file argument
it will give the error as below (same in zeppelin), so it seems the package is
found.
py4j.protocol.Py4JJavaError: An error occurred while calling o61.save.
: java.lang.ClassNotFoundException: Failed to find data source:
org.apache.spark.sql.riak. Please find packages at http://spark-packages.org
at
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:77)
at
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:219)
...
Thanks for the help!
Kind Regards,
Joris van Agtmaal
+(0) 6 25 39 39 06
From: Stephen Etheridge [mailto:[email protected]]
Sent: 13 September 2016 14:45
To: Agtmaal, Joris van <[email protected]>
Cc: [email protected]; Manu Marchal <[email protected]>
Subject: Re: RIAK TS installed nodes not connecting
Hi Joris,
I have looked at the tutorial you have been following but I confess I am
confused. In the example you are following I do not see where the spark and
sql contexts are created. I use PySpark through the Jupyter notebook and I
have to specify a path to the connector on invoking the jupyter notebook. Is it
possible for you to share all your code (and how you are invoking zeppelin)
with me so I can trace everything through?
regards
Stephen
On Mon, Sep 12, 2016 at 3:27 PM, Agtmaal, Joris van
<[email protected]<mailto:[email protected]>> wrote:
Hi
I’m new to Riak and followed the installation instructions to get it working on
an AWS cluster (3 nodes).
So far ive been able to use Riak in pyspark (zeppelin) to create/read/write
tables, but i would like to use the dataframes directly from spark, using the
Spark-Riak Connector.
When following the example found here:
http://docs.basho.com/riak/ts/1.4.0/add-ons/spark-riak-connector/quick-start/#python
But i run into trouble on this last part:
host= my_ip_adress_of_riak_node
pb_port = '8087'
hostAndPort = ":".join([host, pb_port])
client = riak.RiakClient(host=host, pb_port=pb_port)
df.write \
.format('org.apache.spark.sql.riak') \
.option('spark.riak.connection.host', hostAndPort) \
.mode('Append') \
.save('test')
Important to note that i’m using a local download of the Jar file that is
loaded into the pyspark interpreter in zeppeling through:
%dep
z.reset()
z.load("/home/hadoop/spark-riak-connector_2.10-1.6.0.jar")
Here is the error message i get back:
Py4JJavaError: An error occurred while calling o569.save. :
java.lang.NoClassDefFoundError: com/basho/riak/client/core/util/HostAndPort at
com.basho.riak.spark.rdd.connector.RiakConnectorConf$.apply(RiakConnectorConf.scala:76)
at
com.basho.riak.spark.rdd.connector.RiakConnectorConf$.apply(RiakConnectorConf.scala:89)
at org.apache.spark.sql.riak.RiakRelation$.apply(RiakRelation.scala:115) at
org.apache.spark.sql.riak.DefaultSource.createRelation(DefaultSource.scala:51)
at
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) at
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139) at
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606) at
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) at
py4j.Gateway.invoke(Gateway.java:259) at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at
py4j.commands.CallCommand.execute(CallCommand.java:79) at
py4j.GatewayConnection.run(GatewayConnection.java:209) at
java.lang.Thread.run(Thread.java:745) (<class 'py4j.protocol.Py4JJavaError'>,
Py4JJavaError(u'An error occurred while calling o569.save.\n', JavaObject
id=o570), <traceback object at 0x7f7021bb0200>)
Hope somebody can help out.
thanks, joris
_______________________________________________
riak-users mailing list
[email protected]<mailto:[email protected]>
http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com
--
{ "name" : "Stephen Etheridge",
"title" : "Solution Architect, EMEA",
"Organisation" : "Basho Technologies, Inc",
"Telephone" : "07814 406662",
"email" : "mailto:[email protected]<mailto:[email protected]>",
"github" : "http://github.com/datalemming";,
"twitter" : "@datalemming"}
_______________________________________________
riak-users mailing list
[email protected]
http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com
