Operations like dataframe.show() , sQLContext.read.json works fine , but most functions gives "JavaPackage object is not callable error" . eg : when i do
dataFrame.withColumn(field_name, monotonically_increasing_id())
I get an error
File "/tmp/spark-cd423f35-9572-45ee-b159-1b2732afa2a6/userFiles-3a6e1729-95f4-468b-914c-c706369bf2a6/Transformations.py", line 64, in add_id_column
self.dataFrame = self.dataFrame.withColumn(field_name, monotonically_increasing_id())
File "/home/himaprasoon/apps/spark-1.6.0-bin-hadoop2.6/python/pyspark/sql/functions.py", line 347, in monotonically_increasing_id
return Column(sc._jvm.functions.monotonically_increasing_id())
TypeError: 'JavaPackage' object is not callable
I am using apache-zeppelin interpreter and have added py4j to python path.
When I do
import py4j
print(dir(py4j))
the import succeeds
['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', 'compat', 'finalizer', 'java_collections', 'java_gateway', 'protocol', 'version']
When I tried
print(sc._jvm.functions)
in pyspark shell it prints
<py4j.java_gateway.JavaClass object at 0x7fdaf9727ba8>
But when I try this in my interpreter it prints
<py4j.java_gateway.JavaPackage object at 0x7f07cc3f77f0>
In zeppelin interpreter code
java_import(gateway.jvm, "org.apache.spark.sql.*")
was not getting executed. Adding this to the import fixed the issue