pyspark

问题 I am using pyenv to create a virtual environment. My pyenv packages are located under the project bio in /.pyenv/versions/bio/lib/python3.7/site-packages I installed findspark using below pip install findspark #it was installed successfully. I am able to see the below files in the packages directory. findspark-1.4.2.dist-info findspark.py However, when I launch Jupyter notebook from the pyenv directory, I get an error message import findspark findspark.init() ImportError: No module named

问题 I have a 2 dataframes looks like the following: First df1 TEST_schema = StructType([StructField("description", StringType(), True),\ StructField("date", StringType(), True)\ ]) TEST_data = [('START',20200622),('END',20201018)] rdd3 = sc.parallelize(TEST_data) df1 = sqlContext.createDataFrame(TEST_data, TEST_schema) df1.show() +-----------+--------+ |description| date| +-----------+--------+ | START|20200701| | END|20201003| +-----------+--------+ And second df2 TEST_schema = StructType(

问题 is there any generic functions to assign column names in pyspark ?instead of _1,_2,_3....... it has to give col_1,col_2,col_3 +---+---+---+---+---+---+---+---+---+---+---+---+ | _1| _2| _3| _4| _5| _6| _7| _8| _9|_10|_11|_12| +---+---+---+---+---+---+---+---+---+---+---+---+ | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| |

问题 is there any generic functions to assign column names in pyspark ?instead of _1,_2,_3....... it has to give col_1,col_2,col_3 +---+---+---+---+---+---+---+---+---+---+---+---+ | _1| _2| _3| _4| _5| _6| _7| _8| _9|_10|_11|_12| +---+---+---+---+---+---+---+---+---+---+---+---+ | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| |

问题 is there any generic functions to assign column names in pyspark ?instead of _1,_2,_3....... it has to give col_1,col_2,col_3 +---+---+---+---+---+---+---+---+---+---+---+---+ | _1| _2| _3| _4| _5| _6| _7| _8| _9|_10|_11|_12| +---+---+---+---+---+---+---+---+---+---+---+---+ | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| |

问题 is there any generic functions to assign column names in pyspark ?instead of _1,_2,_3....... it has to give col_1,col_2,col_3 +---+---+---+---+---+---+---+---+---+---+---+---+ | _1| _2| _3| _4| _5| _6| _7| _8| _9|_10|_11|_12| +---+---+---+---+---+---+---+---+---+---+---+---+ | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 1| 0| 1| 0| 0| 0| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| | | 0| 0| 0| 0| 0| 1| 1| 0| 1| 1| 0| |

问题 Referencing here and here, I expect that I should be able to change the name by which a file is referenced in Spark by using an octothorpe - that is, if I call spark-submit --files local-file-name.json#spark-file-name.json , I should then be able to reference the file as spark-file-name.json . However, this doesn't appear to be the case: $ cat ../differentDirectory/local-file-name.json { "name": "Adam", "age": 25 } $ cat testing1.py import os import json import time from pyspark import

问题 Referencing here and here, I expect that I should be able to change the name by which a file is referenced in Spark by using an octothorpe - that is, if I call spark-submit --files local-file-name.json#spark-file-name.json , I should then be able to reference the file as spark-file-name.json . However, this doesn't appear to be the case: $ cat ../differentDirectory/local-file-name.json { "name": "Adam", "age": 25 } $ cat testing1.py import os import json import time from pyspark import

问题 I am new to aws and trying to create a transient cluster on AWS emr to run a Python script. I just want to run the python script that will process the file and auto terminate the cluster post completion. I have also created a keypair and specified the same. Command below : aws emr create-cluster --name "test1-cluster" --release-label emr-5.5.0 --name pyspark_analysis --ec2-attributes KeyName=k-key-pair --applications Name=Hadoop Name=Hive Name=Spark --instance-groups --use-default-roles -

问题 I am trying to convert spark dataframe to pandas dataframe. I am trying to in Jupyter notebook on EMR. and I am trying following error. Pandas library is installed on master node under my user. And using spark shell (pyspark) I am able to convert df to padnas df on that master node. following command has been executed on all the master nodes pip --no-cache-dir install pandas --user Following is working on master node. But not from pyspark notebook import Pandas as pd Error No module named