i am new in using spark , i try to run this code on pyspark
from pyspark import SparkConf, SparkContext
import collections
conf = SparkConf().setMaster("local").setAppName("RatingsHistogram")
sc = SparkContext(conf = conf)
but he till me this erore message
Using Python version 3.5.2 (default, Jul 5 2016 11:41:13)
SparkSession available as 'spark'.
>>> from pyspark import SparkConf, SparkContext
>>> import collections
>>> conf = SparkConf().setMaster("local").setAppName("RatingsHistogram")
>>> sc = SparkContext(conf = conf)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\spark\python\pyspark\context.py", line 115, in __init__
SparkContext._ensure_initialized(self, gateway=gateway, conf=conf)
File "C:\spark\python\pyspark\context.py", line 275, in _ensure_initialized
callsite.function, callsite.file, callsite.linenum))
ValueError: Cannot run multiple SparkContexts at once; existing SparkContext(app=PySparkShell, master=local[*]) created by getOrCreate at C:\spark\bin\..\python\pyspark\shell.py:43
>>>
i have version spark 2.1.1 and python 3.5.2 , i search and found it is problem in sc ,he could not read it but no when till why , any one have help here
You can try out this
sc = SparkContext.getOrCreate();
You can try:
sc = SparkContext.getOrCreate(conf=conf)
Your previous session is still on. You can run
sc.stop()
it can run through Jupyter lab also. but you have to use as your previous session is still running and local can not run two sessions at a time
sc = SparkContext.getOrCreate( conf =conf)
Related
I am building project in pycharm IDE using pyspark.
The Spark install successfully and can be call easily from command prompt.
The Interpreter also configured correctly in project setting. I also tried with pip install pyspark.
The main.py looks like:-
import os
os.environ["SPARK_HOME"] = "/usr/local/spark"
from pyspark import SparkContext
import pyspark
from pyspark.sql import SparkSession
from pyspark.sql.types import *
import pyspark.sql.functions as F
from genericFunc import genericFunction
from config import constants
spark = genericFunction.start_data_pipeline()
inputDf = genericFunction.read_json(constants.INPUT_FOLDER_PATH+"file-000.json")
inputDf1 = genericFunction.read_json(constants.INPUT_FOLDER_PATH+" file-001.json")
and the generic function looks like:-
from pyspark.sql import SparkSession
print('w')
def start_data_pipeline():
#setting up spark session
'''
This function will set the spark session and return it to the __main__
function.
'''
try:
spark = SparkSession\
.builder\
.appName("Nike ETL")\
.getOrCreate()
return spark
except Exception as e:
raise
def read_json(file_name):
#setting up spark session
'''
This function will set the spark session and return it to the __main__
function.
'''
try:
spark = start_data_pipeline()
spark = spark.read \
.option("header", "true") \
.option("inferSchema", "true")\
.json(file_name)
return spark
except Exception as e:
raise
def load_as_csv(df,file_name):
#setting up spark session
'''
This function will set the spark session and return it to the __main__
function.
'''
try:
df.repartition(1).write.format('com.databricks.spark.csv')\
.save(file_name, header = 'true')
except Exception as e:
raise
Error:
Error:
Unresolved reference 'genericFunc'
"C:\Users\MY PC\PycharmProjects\pythonProject1\venv\Scripts\python.exe" C:/Capgemini/cv/tulsi/test-tulsi/main.py
Traceback (most recent call last):
File "C:/Capgemini/cv/tulsi/test-naveen/main.py", line 6, in <module>
from pyspark import SparkContext
ImportError: No module named pyspark
Process finished with exit code 1
Please help
The problem is that PyCharm creates its own virtual environment (venv) before running a python project and that venv do not have the packages installed - in this case pyspark. So you need to point PyCharm to the correct python shell where the packages are available.
You should go to File -> Settings -> Project -> Python Interpreter
and change the Python Interpreter to correct python that has the packages. To find your python run this your python shell
>>> import os
>>> import sys
>>> os.path.dirname(sys.executable)
'C:\\Doc\\'
I succesfully instaled Spark and Pyspark in my machine, added path variables, etc. but keeps facing import problems.
This is the code:
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.config("spark.hadoop.hive.exec.dynamic.partition", "true") \
.config("spark.hadoop.hive.exec.dynamic.partition.mode", "nonstrict") \
.enableHiveSupport() \
.getOrCreate()
And this is the error message:
"C:\...\Desktop\Clube\venv\Scripts\python.exe" "C:.../Desktop/Clube/services/ce_modelo_analise.py"
Traceback (most recent call last):
File "C:\...\Desktop\Clube\services\ce_modelo_analise.py", line 1, in <module>
from pyspark.sql import SparkSession
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\__init__.py", line 51, in <module>
from pyspark.context import SparkContext
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\context.py", line 31, in <module>
from pyspark import accumulators
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\accumulators.py", line 97, in <module>
from pyspark.serializers import read_int, PickleSerializer
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\serializers.py", line 71, in <module>
from pyspark import cloudpickle
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\cloudpickle.py", line 145, in <module>
_cell_set_template_code = _make_cell_set_template_code()
File "C:\Spark\spark-2.4.0-bin-hadoop2.7\python\pyspark\cloudpickle.py", line 126, in _make_cell_set_template_code
return types.CodeType(
TypeError: 'bytes' object cannot be interpreted as an integer
If I remove the import line, those problems disappear. As I said before, my path variables are set:
and
Also, Spark is running correctly in cmd:
Going deeper I found the problem: I'm using Spark in version 2.4, which works with Python 3.7 tops.
As I was using Python 3.10, the problem was happening.
So if you're experiencing the same kind of issue, try to change your versions.
When I perform the following actions.I met this problem in centos 7.0 and spark 2.1.0. I am a freshman in spark. How to fix it？
>>> from pyspark.sql import SQLContext
>>> ssc = SQLContext(sc)
>>> df = ssc.jsonFile('file:///root/work/person.json')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'SQLContext' object has no attribute 'jsonFile'
Use SparkSession with the newer version of Spark and read using
df = spark.read.json('path to json).
jsonFile has been deprecated, please use sqlContext.read.json
I used the jupyter notebook, pyspark, then, my first command was:
rdd = sc.parallelize([2, 3, 4])
Then, it showed that
NameError Traceback (most recent call last)
<ipython-input-1-c540c4a1d203> in <module>()
----> 1 rdd = sc.parallelize([2, 3, 4])
NameError: name 'sc' is not defined.
How to fix this error 'sc' is not defined.
Have you initialized the SparkContext?
You could try this:
#Initializing PySpark
from pyspark import SparkContext, SparkConf
# #Spark Config
conf = SparkConf().setAppName("sample_app")
sc = SparkContext(conf=conf)
Try this
import findspark
findspark.init()
import pyspark # only run after findspark.init()
from pyspark import SparkContext, SparkConf
# #Spark Config
conf = SparkConf().setAppName("sample_app")
sc = SparkContext(conf=conf)
myrdd = sc.parallelize([('roze', 60), ('Mary', 80), ('stella', 34)])
when I code the spark sql API hiveContext.sql()
from pyspark import SparkConf,SparkContext
from pyspark.sql import SQLContext,HiveContext
conf = SparkConf().setAppName("spark_sql")
sc = SparkContext(conf = conf)
hc = HiveContext(sc)
#rdd = sc.textFile("test.txt")
sqlContext = SQLContext(sc)
res = hc.sql("use teg_uee_app")
#for each in res.collect():
# print(each[0])
sc.stop()
I got the following error:
enFile "spark_sql.py", line 23, in <module>
res = hc.sql("use teg_uee_app")
File "/spark/python/pyspark/sql/context.py", line 580, in sql
return DataFrame(self._ssql_ctx.sql(sqlQuery), self)
File "/spark/python/pyspark/sql/context.py", line 683, in _ssql_ctx
self._scala_HiveContext = self._get_hive_ctx()
File "/spark/python/pyspark/sql/context.py", line 692, in _get_hive_ctx
return self._jvm.HiveContext(self._jsc.sc())
TypeError: 'JavaPackage' object is not callable
how do I add SPARK_CLASSPATH or SparkContext.addFile?I don't have idea.
Maybe this will help you: When using HiveContext I have to add three jars to the spark-submit arguments:
spark-submit --jars /usr/lib/spark/lib/datanucleus-api-jdo-3.2.6.jar,/usr/lib/spark/lib/datanucleus-core-3.2.10.jar,/usr/lib/spark/lib/datanucleus-rdbms-3.2.9.jar ...
Of course the paths and versions depend on your cluster setup.
In my case this turned out to be a classpath issue - I had a Hadoop jar on the classpath that was a wrong version of Hadoop than I was running.
Make sure you only set the executor and/or driver classpaths in one place and that there's no system-wide default applied somewhere such as .bashrc or Spark's conf/spark-env.sh.