copying and pasting your code code in a jup notebook works fine. that is,
using my own version of Range which is simply a list of numbers
how bout this.. does this work fine?
list(map(lambda x: (x, clustered(x, numRows)),[1,2,3,4]))
If it does, i'd look in what's inside your Range and what you get out of
it. I suspect something wrong in there
If there was something with the clustered function, then you should be able
to take it out of the map() and still have the code working..
Could you try that as well?
kr
On Fri, Dec 11, 2020 at 5:04 PM Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> Sorry, part of the code is not that visible
>
> rdd = sc.parallelize(Range). \
> map(lambda x: (x, uf.clustered(x, numRows), \
> uf.scattered(x,10000), \
> uf.randomised(x,10000), \
> uf.randomString(50), \
> uf.padString(x," ",50), \
> uf.padSingleChar("x",4000)))
>
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Fri, 11 Dec 2020 at 16:56, Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
>
>> Thanks Sean,
>>
>> This is the code
>>
>> numRows = 100000 ## do in increment of 50K rows otherwise you blow up
>> driver memory!
>> #
>> ## Check if table exist otherwise create it
>>
>>
>> rows = 0
>> sqltext = ""
>> if (spark.sql(f"SHOW TABLES IN {DB} like '{tableName}'").count() == 1):
>> rows = spark.sql(f"""SELECT COUNT(1) FROM
>> {fullyQualifiedTableName}""").collect()[0][0]
>> print ("number of rows is ",rows)
>> else:
>> print(f"\nTable {fullyQualifiedTableName} does not exist, creating table ")
>> sqltext = """
>> CREATE TABLE {DB}.{tableName}(
>> ID INT
>> , CLUSTERED INT
>> , SCATTERED INT
>> , RANDOMISED INT
>> , RANDOM_STRING VARCHAR(50)
>> , SMALL_VC VARCHAR(50)
>> , PADDING VARCHAR(4000)
>> )
>> STORED AS PARQUET
>> """
>> spark.sql(sqltext)
>>
>> start = 0
>> if (rows == 0):
>> start = 1
>> else:
>> maxID = spark.sql(f"SELECT MAX(id) FROM
>> {fullyQualifiedTableName}").collect()[0][0]
>> start = maxID + 1
>> end = start + numRows - 1
>> print ("starting at ID = ",start, ",ending on = ",end)
>> Range = range(start, end+1)
>> ## This traverses through the Range and increment "x" by one unit each time,
>> and that x value is used in the code to generate random data through Python
>> functions in a class
>> print(numRows)
>> print(uf.clustered(200,numRows))
>> rdd = sc.parallelize(Range). \
>> map(lambda x: (x, uf.clustered(x, numRows), \
>> uf.scattered(x,10000), \
>> uf.randomised(x,10000), \
>> uf.randomString(50), \
>> uf.padString(x," ",50), \
>> uf.padSingleChar("x",4000)))
>> df = rdd.toDF(). \
>> withColumnRenamed("_1","ID"). \
>> withColumnRenamed("_2", "CLUSTERED"). \
>> withColumnRenamed("_3", "SCATTERED"). \
>> withColumnRenamed("_4", "RANDOMISED"). \
>> withColumnRenamed("_5", "RANDOM_STRING"). \
>> withColumnRenamed("_6", "SMALL_VC"). \
>> withColumnRenamed("_7", "PADDING")
>>
>>
>> And this is the run with error
>>
>>
>> Started at
>>
>> 11/12/2020 14:42:45.45
>>
>> number of rows is 4500000
>>
>> starting at ID = 4500001 ,ending on = 4600000
>>
>> 100000
>>
>> 0.00199
>>
>> 20/12/11 14:42:56 ERROR Executor: Exception in task 0.0 in stage 7.0 (TID
>> 33)
>>
>> org.apache.spark.api.python.PythonException: Traceback (most recent call
>> last):
>>
>> File
>> "C:\spark-3.0.1-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py",
>> line 605, in main
>>
>> File
>> "C:\spark-3.0.1-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\worker.py",
>> line 597, in process
>>
>> File
>> "C:\spark-3.0.1-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\serializers.py",
>> line 271, in dump_stream
>>
>> vs = list(itertools.islice(iterator, batch))
>>
>> File "C:\spark-3.0.1-bin-hadoop2.7\python\pyspark\rdd.py", line 1440,
>> in takeUpToNumLeft
>>
>> yield next(iterator)
>>
>> File
>> "C:\spark-3.0.1-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\util.py", line
>> 107, in wrapper
>>
>> return f(*args, **kwargs)
>>
>> File "C:/Users/admin/PycharmProjects/pythonProject2/pilot/src/main.py",
>> line 101, in <lambda>
>>
>> map(lambda x: (x, uf.clustered(x, numRows), \
>>
>> NameError: name 'numRows' is not defined
>>
>> Regards,
>>
>> Mich
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Fri, 11 Dec 2020 at 16:47, Sean Owen <sro...@gmail.com> wrote:
>>
>>> Looks like a simple Python error - you haven't shown the code that
>>> produces it. Indeed, I suspect you'll find there is no such symbol.
>>>
>>> On Fri, Dec 11, 2020 at 9:09 AM Mich Talebzadeh <
>>> mich.talebza...@gmail.com> wrote:
>>>
>>>> Hi,
>>>>
>>>> This used to work but not anymore.
>>>>
>>>> I have UsedFunctions.py file that has these functions
>>>>
>>>> import random
>>>> import string
>>>> import math
>>>>
>>>> def randomString(length):
>>>> letters = string.ascii_letters
>>>> result_str = ''.join(random.choice(letters) for i in range(length))
>>>> return result_str
>>>>
>>>> def clustered(x,numRows):
>>>> return math.floor(x -1)/numRows
>>>>
>>>> def scattered(x,numRows):
>>>> return abs((x -1 % numRows))* 1.0
>>>>
>>>> def randomised(seed,numRows):
>>>> random.seed(seed)
>>>> return abs(random.randint(0, numRows) % numRows) * 1.0
>>>>
>>>> def padString(x,chars,length):
>>>> n = int(math.log10(x) + 1)
>>>> result_str = ''.join(random.choice(chars) for i in range(length-n)) +
>>>> str(x)
>>>> return result_str
>>>>
>>>> def padSingleChar(chars,length):
>>>> result_str = ''.join(chars for i in range(length))
>>>> return result_str
>>>>
>>>> def println(lst):
>>>> for ll in lst:
>>>> print(ll[0])
>>>>
>>>> Now in the main().py module I import this file as follows:
>>>>
>>>> import UsedFunctions as uf
>>>>
>>>> Then I try the following
>>>>
>>>> import UsedFunctions as uf
>>>>
>>>> numRows = 100000 ## do in increment of 100K rows
>>>> rdd = sc.parallelize(Range). \
>>>> map(lambda x: (x, uf.clustered(x, numRows), \
>>>> uf.scattered(x,10000), \
>>>> uf.randomised(x,10000), \
>>>> uf.randomString(50), \
>>>> uf.padString(x," ",50), \
>>>> uf.padSingleChar("x",4000)))
>>>> The problem is that now it throws error for numRows as below
>>>>
>>>>
>>>> File
>>>> "C:/Users/admin/PycharmProjects/pythonProject2/pilot/src/main.py", line
>>>> 101, in <lambda>
>>>> map(lambda x: (x, uf.clustered(x, numRows), \
>>>> NameError: name 'numRows' is not defined
>>>>
>>>> I don't know why this error is coming!
>>>>
>>>> Appreciate any ideas
>>>>
>>>> Thanks,
>>>>
>>>> Mich
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>
