Two versions of Spark running against same code
https://towardsdatascience.com/your-first-apache-spark-ml-model-d2bb82b599dd
version spark-2.4.6-bin-hadoop2.7 is producing error for toPandas(). See
error stack below
Jupyter Notebook
import findspark
findspark.init('/home/spark-3.0.0-bin-hadoop2.7')
cell "spark"
cell output
SparkSession - in-memory
SparkContext
Spark UI
Version
v3.0.0
Master
local[*]
AppName
Titanic Data
import findspark
findspark.init('/home/spark-2.4.6-bin-hadoop2.7')
cell "spark"
cell output
SparkSession - in-memory
SparkContext
Spark UI
Version
v2.4.6
Master
local[*]
AppName
Titanic Data
cell "df.show(5)"
+-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+
|PassengerId|Survived|Pclass| Name| Sex|Age|SibSp|Parch|
Ticket| Fare|Cabin|Embarked|
+-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+
| 1| 0| 3|Braund, Mr. Owen ...| male| 22| 1| 0|
A/5 21171| 7.25| null| S|
| 2| 1| 1|Cumings, Mrs. Joh...|female| 38| 1| 0|
PC 17599|71.2833| C85| C|
| 3| 1| 3|Heikkinen, Miss. ...|female| 26| 0|
0|STON/O2. 3101282| 7.925| null| S|
| 4| 1| 1|Futrelle, Mrs. Ja...|female| 35| 1| 0|
113803| 53.1| C123| S|
| 5| 0| 3|Allen, Mr. Willia...| male| 35| 0| 0|
373450| 8.05| null| S|
+-----------+--------+------+--------------------+------+---+-----+-----+----------------+-------+-----+--------+
only showing top 5 rows
cell "df.toPandas()"
cell output
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
/home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a,
**kw)
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
/home/spark-2.4.6-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py
in get_return_value(answer, gateway_client, target_id, name)
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
Py4JJavaError: An error occurred while calling o33.collectToPython.
: java.lang.IllegalArgumentException: Unsupported class file major version
55
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237)
at
org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:50)
at
org.apache.spark.util.FieldAccessFinder$$anon$4$$anonfun$visitMethodInsn$7.apply(ClosureCleaner.scala:845)
at
org.apache.spark.util.FieldAccessFinder$$anon$4$$anonfun$visitMethodInsn$7.apply(ClosureCleaner.scala:828)
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at
scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
at
scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
at
scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at
org.apache.spark.util.FieldAccessFinder$$anon$4.visitMethodInsn(ClosureCleaner.scala:828)
at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175)
at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238)
at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631)
at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355)
at
org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:272)
at
org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:271)
at scala.collection.immutable.List.foreach(List.scala:392)
at
org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:271)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:163)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2326)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:990)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
at org.apache.spark.rdd.RDD.collect(RDD.scala:989)
at
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:299)
at
org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3263)
at
org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3260)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
at
org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3260)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native
Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Thread.java:834)
During handling of the above exception, another exception occurred:
IllegalArgumentException Traceback (most recent call last)
<ipython-input-10-a516097529d7> in <module>
----> 1 df.toPandas()
/home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/dataframe.py in
toPandas(self)
2153
2154 # Below is toPandas without Arrow optimization.
-> 2155 pdf = pd.DataFrame.from_records(self.collect(),
columns=self.columns)
2156 column_counter = Counter(self.columns)
2157
/home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/dataframe.py in
collect(self)
533 """
534 with SCCallSiteSync(self._sc) as css:
--> 535 sock_info = self._jdf.collectToPython()
536 return list(_load_from_socket(sock_info,
BatchedSerializer(PickleSerializer())))
537
/home/spark-2.4.6-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py
in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
/home/spark-2.4.6-bin-hadoop2.7/python/pyspark/sql/utils.py in deco(*a,
**kw)
77 raise QueryExecutionException(s.split(': ', 1)[1],
stackTrace)
78 if s.startswith('java.lang.IllegalArgumentException: '):
---> 79 raise IllegalArgumentException(s.split(': ', 1)[1],
stackTrace)
80 raise
81 return deco
IllegalArgumentException: 'Unsupported class file major version 55'
On Fri, 19 Jun 2020, 08:06 Stephen Boesch, <java...@gmail.com> wrote:
> afaik It has been there since Spark 2.0 in 2015. Not certain about
> Spark 1.5/1.6
>
> On Thu, 18 Jun 2020 at 23:56, Anwar AliKhan <anwaralikhan...@gmail.com>
> wrote:
>
>> I first ran the command
>> df.show()
>>
>> For sanity check of my dataFrame.
>>
>> I wasn't impressed with the display.
>>
>> I then ran
>> df.toPandas() in Jupiter Notebook.
>>
>> Now the display is really good looking .
>>
>> Is toPandas() a new function which became available in Spark 3.0 ?
>>
>>
>>
>>
>>
>>
