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From "DEQUN (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (PHOENIX-3333) Support Spark 2.0
Date Mon, 14 Nov 2016 12:25:59 GMT

    [ https://issues.apache.org/jira/browse/PHOENIX-3333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15663791#comment-15663791
] 

DEQUN edited comment on PHOENIX-3333 at 11/14/16 12:25 PM:
-----------------------------------------------------------

I'm new to git, maven and phoenix. Could you show me  how to use this path or how to build
spark_2.0 branch?


was (Author: sd10):
I'm new to git, maven and phoenix. Could you show me  tutorial how to use this path or how
to build spark_2.0 branch?

> Support Spark 2.0
> -----------------
>
>                 Key: PHOENIX-3333
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3333
>             Project: Phoenix
>          Issue Type: Improvement
>    Affects Versions: 4.8.0
>         Environment: spark 2.0 ,phoenix 4.8.0 , os is centos 6.7 ,hadoop is hdp 2.5
>            Reporter: dalin qin
>         Attachments: PHOENIX-3333-interim.patch
>
>
> spark version is  2.0.0.2.5.0.0-1245
> As mentioned by Josh , I believe spark 2.0 changed their api so that failed phoenix.
Please come up with update version to adapt spark's change.
> In [1]: df = sqlContext.read \
>    ...:   .format("org.apache.phoenix.spark") \
>    ...:   .option("table", "TABLE1") \
>    ...:   .option("zkUrl", "namenode:2181:/hbase-unsecure") \
>    ...:   .load()
> ---------------------------------------------------------------------------
> Py4JJavaError                             Traceback (most recent call last)
> <ipython-input-1-e5dfb7bbb28b> in <module>()
> ----> 1 df = sqlContext.read   .format("org.apache.phoenix.spark")   .option("table",
"TABLE1")   .option("zkUrl", "namenode:2181:/hbase-unsecure")   .load()
> /usr/hdp/2.5.0.0-1245/spark2/python/pyspark/sql/readwriter.pyc in load(self, path, format,
schema, **options)
>     151             return self._df(self._jreader.load(self._spark._sc._jvm.PythonUtils.toSeq(path)))
>     152         else:
> --> 153             return self._df(self._jreader.load())
>     154
>     155     @since(1.4)
> /usr/hdp/2.5.0.0-1245/spark2/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py in __call__(self,
*args)
>     931         answer = self.gateway_client.send_command(command)
>     932         return_value = get_return_value(
> --> 933             answer, self.gateway_client, self.target_id, self.name)
>     934
>     935         for temp_arg in temp_args:
> /usr/hdp/2.5.0.0-1245/spark2/python/pyspark/sql/utils.pyc in deco(*a, **kw)
>      61     def deco(*a, **kw):
>      62         try:
> ---> 63             return f(*a, **kw)
>      64         except py4j.protocol.Py4JJavaError as e:
>      65             s = e.java_exception.toString()
> /usr/hdp/2.5.0.0-1245/spark2/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py in get_return_value(answer,
gateway_client, target_id, name)
>     310                 raise Py4JJavaError(
>     311                     "An error occurred while calling {0}{1}{2}.\n".
> --> 312                     format(target_id, ".", name), value)
>     313             else:
>     314                 raise Py4JError(
> Py4JJavaError: An error occurred while calling o43.load.
> : java.lang.NoClassDefFoundError: org/apache/spark/sql/DataFrame
>         at java.lang.Class.getDeclaredMethods0(Native Method)
>         at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
>         at java.lang.Class.getDeclaredMethod(Class.java:2128)
>         at java.io.ObjectStreamClass.getPrivateMethod(ObjectStreamClass.java:1475)
>         at java.io.ObjectStreamClass.access$1700(ObjectStreamClass.java:72)
>         at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:498)
>         at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:472)
>         at java.security.AccessController.doPrivileged(Native Method)
>         at java.io.ObjectStreamClass.<init>(ObjectStreamClass.java:472)
>         at java.io.ObjectStreamClass.lookup(ObjectStreamClass.java:369)
>         at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1134)
>         at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
>         at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
>         at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
>         at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
>         at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
>         at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:43)
>         at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
>         at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:295)
>         at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288)
>         at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108)
>         at org.apache.spark.SparkContext.clean(SparkContext.scala:2037)
>         at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:366)
>         at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:365)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>         at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
>         at org.apache.spark.rdd.RDD.map(RDD.scala:365)
>         at org.apache.phoenix.spark.PhoenixRDD.toDataFrame(PhoenixRDD.scala:119)
>         at org.apache.phoenix.spark.PhoenixRelation.schema(PhoenixRelation.scala:59)
>         at org.apache.spark.sql.execution.datasources.LogicalRelation.<init>(LogicalRelation.scala:40)
>         at org.apache.spark.sql.SparkSession.baseRelationToDataFrame(SparkSession.scala:382)
>         at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:143)
>         at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:122)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:498)
>         at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
>         at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
>         at py4j.Gateway.invoke(Gateway.java:280)
>         at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128)
>         at py4j.commands.CallCommand.execute(CallCommand.java:79)
>         at py4j.GatewayConnection.run(GatewayConnection.java:211)
>         at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.ClassNotFoundException: org.apache.spark.sql.DataFrame
>         at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>         at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>         at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
>         at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
>         ... 45 more



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