pyspark

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

问题 I run into problems when calling Spark's MinHashLSH's approxSimilarityJoin on a dataframe of (name_id, name) combinations. A summary of the problem I try to solve: I have a dataframe of around 30 million unique (name_id, name) combinations for company names. Some of those names refer to the same company, but are (i) either misspelled, and/or (ii) include additional names. Performing fuzzy string matching for every combination is not possible. To reduce the number of fuzzy string matching

问题 I have given dataframe that looks like this. THIS dataframe is sorted by date, and col1 is just some random value. TEST_schema = StructType([StructField("date", StringType(), True),\ StructField("col1", IntegerType(), True),\ ]) TEST_data = [('2020-08-01',3),('2020-08-02',1),('2020-08-03',-1),('2020-08-04',-1),('2020-08-05',3),\ ('2020-08-06',-1),('2020-08-07',6),('2020-08-08',4),('2020-08-09',5)] rdd3 = sc.parallelize(TEST_data) TEST_df = sqlContext.createDataFrame(TEST_data, TEST_schema)

问题 I have an archive (basically a bundled conda environment + my application) which I can easily use with pyspark in yarn master mode: PYSPARK_PYTHON=./pkg/venv/bin/python3 \ spark-submit \ --conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=./pkg/venv/bin/python3 \ --master yarn \ --deploy-mode cluster \ --archives hdfs:///package.tgz#pkg \ app/MyScript.py This works as expected, no surprise here. Now how could I run this if MyScript.py is inside package.tgz. not on my local filesystem? I would like

问题 I have an archive (basically a bundled conda environment + my application) which I can easily use with pyspark in yarn master mode: PYSPARK_PYTHON=./pkg/venv/bin/python3 \ spark-submit \ --conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=./pkg/venv/bin/python3 \ --master yarn \ --deploy-mode cluster \ --archives hdfs:///package.tgz#pkg \ app/MyScript.py This works as expected, no surprise here. Now how could I run this if MyScript.py is inside package.tgz. not on my local filesystem? I would like

问题 I have a requirement to push logs created from pyspark script to kafka. Iam doing POC so using Kafka binaries in windows machine. My versions are - kafka - 2.4.0, spark - 3.0 and python - 3.8.1. I am using pycharm editor. import sys import logging from datetime import datetime try: from pyspark import SparkContext from pyspark.streaming import StreamingContext from pyspark.streaming.kafka import KafkaUtils except ImportError as e: print("Error importing Spark Modules :", e) sys.exit(1)

问题 I have a requirement to push logs created from pyspark script to kafka. Iam doing POC so using Kafka binaries in windows machine. My versions are - kafka - 2.4.0, spark - 3.0 and python - 3.8.1. I am using pycharm editor. import sys import logging from datetime import datetime try: from pyspark import SparkContext from pyspark.streaming import StreamingContext from pyspark.streaming.kafka import KafkaUtils except ImportError as e: print("Error importing Spark Modules :", e) sys.exit(1)

问题 I have a requirement to push logs created from pyspark script to kafka. Iam doing POC so using Kafka binaries in windows machine. My versions are - kafka - 2.4.0, spark - 3.0 and python - 3.8.1. I am using pycharm editor. import sys import logging from datetime import datetime try: from pyspark import SparkContext from pyspark.streaming import StreamingContext from pyspark.streaming.kafka import KafkaUtils except ImportError as e: print("Error importing Spark Modules :", e) sys.exit(1)

问题 I have a requirement to push logs created from pyspark script to kafka. Iam doing POC so using Kafka binaries in windows machine. My versions are - kafka - 2.4.0, spark - 3.0 and python - 3.8.1. I am using pycharm editor. import sys import logging from datetime import datetime try: from pyspark import SparkContext from pyspark.streaming import StreamingContext from pyspark.streaming.kafka import KafkaUtils except ImportError as e: print("Error importing Spark Modules :", e) sys.exit(1)

问题 I have a requirement to push logs created from pyspark script to kafka. Iam doing POC so using Kafka binaries in windows machine. My versions are - kafka - 2.4.0, spark - 3.0 and python - 3.8.1. I am using pycharm editor. import sys import logging from datetime import datetime try: from pyspark import SparkContext from pyspark.streaming import StreamingContext from pyspark.streaming.kafka import KafkaUtils except ImportError as e: print("Error importing Spark Modules :", e) sys.exit(1)