I must perform an aggregation within a sliding window in Pyspark. In particular, I must do the following operations: Consider 100 days worth data at a time GroupBy a given column of ID Take the last value of the aggregation Sum the values and return the result These tasks must be computed in a sliding ..
Installed spark (spark-3.1.1-bin-hadoop2.7) downloaded java jdk to "C:Program FilesJavajdk1.8.0_281" downloaded anaconda downloaded winutils.exe to C:sparkspark-3.1.1-bin-hadoop2.7bin 5.I have set the Windows Environment variables to, SPARK_HOME=C:sparkspark-3.1.1-bin-hadoop2.7 HADOOP_HOME=C:sparkspark-3.1.1-bin-hadoop2.7 PYSPARK_DRIVER_PYTHON=jupyter PYSPARK_DRIVER_PYTHON_OPTS=notebook JAVA_HOME="C:Program FilesJavajdk1.8.0_281" (I have tried the suggestion of changing the above to c:Progra~1Javajdk1.8.0_281 and that doesnt work either) I am able to launch jupyter notebook. I then copy ..
I have Windows 10 and I followed this guide to install Spark and make it work on my OS, as long as using Jupyter Notebook tool. I used this command to instantiate the master and import the packages I needed for my job: pyspark –packages graphframes:graphframes:0.8.1-spark3.0-s_2.12 –master local However, later, I figured out that any ..
I have some issue ow with my script Pyspark am trying to handle with that problem since 3 weeks now. i really cant understand what can cause this …. the job of my script is : matching some addresses from two files , i can see that the job is done but when he is ..
Error: AnalysisException: Path does not exist: file:/D:/sk – Add/Main/2020/Main_2012-01.txt; Code1 with error: for i in os.listdir(): if j.endswith(‘.txt’): print(i) df= spark.read.text(i) Code2 with same err: path=r"D:sk – AddMain20" for i in os.listdir(): if j.endswith(‘.txt’): print(i) df= spark.read.text(path+”+i) Code3 without error: df1=spark.read.text(r’D:sk – AddMain20Main_2020-12.txt’) Why is it adding file:/ prefix for my file name and causing ..
os.environ["JAVA_HOME"] = "C:/Java/jdk1.8.0_281" os.environ["PATH"] = os.environ["JAVA_HOME"] + "/bin:" + os.environ["PATH"] os.environ["SPARK_HOME"] = "C:/spark/spark-2.4.3-bin-hadoop2.7" os.environ["HADOOP_HOME"] = "C:/sparkHadoop" # Hadoop folder has bin folder and inside it is winutils.exe os.environ["PYSPARK_DRIVER_PYTHON"] = ‘jupyter’ os.environ["PYSPARK_DRIVER_PYTHON_OPTS"] = "lab" my_spark = SparkSession.builder .appName("Spark NLP") .master("local") .config("spark.driver.memory","6G") .config("spark.driver.maxResultSize", "0") .config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.7.2") .config("spark.kryoserializer.buffer.max", "1000M") .getOrCreate() import sparknlp from sparknlp.base import * #Spark NLP ..
I have a problem, when use yarn-client. With master=local[*] all right! I use Java 8 (jre8u202), spark on yarn – 2.4.0, on my computer – 2.3.2 (becouse 2.4.0 version on my computer do not work and i have problem: Python worker failed to connect back), pySpark – 2.3.2, Scala – 2.12.0, hadoop – 2.6. Also, ..
I keep having this error during installation to of spark on windows 10. "’spark-shell’ is not recognized as an internal or external command, operable program or batch file." I checked several previous questions and tried everything still having same issue. I then tried installing java jre and jdk tried both (i am not sure if ..
I have not faced this problem with any of other software on mysystem. Able to install and run everything in window terminal/command prompt and Git-Bash Recently, I started learning Spark. Installed Spark setting everything JAVA_HOME, SCALA_HOME, hadoop winutils file. Spark-shell and pyspark-shell both are running perfect in command prompt/window terminal and in Jupyter through pyspark ..
I am getting data in json format on a kafka topic. I am connecting to it via Pyspark and creating dataframe over it and doing required transformations and finally writing the dataframe in json string format in Kafka topic. But I am getting following error for that: Traceback (most recent call last): File "C:Python37-32librunpy.py", line ..