I am trying to group by a data frame by "PRODUCT", "MARKET" and aggregate the rest ones specified in col_list. There are much more column in the list but for simplification lets take the example below.Unfortunatelly I am getting the error:"TypeError:...
The error you're encountering, "TypeError: unhashable type: 'Column'," is likely due to the way you're defining exprs. In Python, sets use curly braces {}, but they require their items to be hashable. Since the result of sum(x).alias(x) is not hashab...
Hello guys. I use pyspark in my daily life. A demand has arisen to collect information in Jira. I was able to do this via Talend ESB, but I wouldn't want to use different tools to get the job done. Do you have any example of how to extract data from ...
Hi,There is also a new Databricks for Jira add-on on the Atlassian Marketplace. It is easy to setup and exports are directly created within Jira. They can be one-time, scheduled, or real-time. It can also export additional Jira data such as Assets, C...
I am trying to connect to my Kafka from spark but getting an error:Kafka Version: 2.4.1Spark Version: 3.3.0I am using jupyter notebook to execute the pyspark code below:```from pyspark.sql.functions import *from pyspark.sql.types import *#import libr...
I noticed that when launching this bunch of code with only one action, I have three jobs that are launched.from pyspark.sql import DataFrame from pyspark.sql.types import StructType, StructField, StringType from pyspark.sql.functions import avgdata:...
The above code will create two jobs.JOB-1. dataframe: DataFrame = spark.createDataFrame(data=data,schema=schema)The createDataFrame function is responsible for inferring the schema from the provided data or using the specified schema.Depending on the...
I am trying to unpivot a PySpark DataFrame, but I don't get the correct results.Sample dataset:# Prepare Data
data = [("Spain", 101, 201, 301), \
("Taiwan", 102, 202, 302), \
("Italy", 103, 203, 303), \
("China", 104, 204, 304...
If i have columns names as below how can i get data unpivottest = "stack(2,'Turnover (Sas m)',Turnover (Sas m),'abc %', abc %) as (kpi_name, kpi_value)"
I want to read data from s3 access point.I successfully accessed using boto3 client to data through s3 access point.s3 = boto3.resource('s3')ap = s3.Bucket('arn:aws:s3:[region]:[aws account id]:accesspoint/[S3 Access Point name]')for obj in ap.object...
I'm reaching out to seek assistance as I navigate an issue. Currently, I'm trying to read JSON files from an S3 Multi-Region Access Point using a Databricks notebook. While reading directly from the S3 bucket presents no challenges, I encounter an "j...
Let's say I want to check if a condition is false then stop the execution of the rest of the script. I tried with two approaches:1) raising exceptionif not data_input_cols.issubset(data.columns):
raise Exception("Missing column or column's name mis...
In Jupyter notebooks or similar environments, you can stop the execution of a notebook at a specific cell by raising an exception. However, you need to handle the exception properly to ensure the execution stops. The issue you're encountering could b...
Hi All, I have a scenario where my Exisiting Delta Table looks like below:Now I have an incremental data with an additional column i.e. owner:Dataframe Name --> scdDFBelow is the code snippet to merge Incremental Dataframe to targetTable, but the new...
I would like to load a csv file directly to a spark dataframe in Databricks. I tried the following code :url = "https://opendata.reseaux-energies.fr/explore/dataset/eco2mix-national-tr/download/?format=csv&timezone=Europe/Berlin&lang=fr&use_labels_fo...
I know it's a 2 years old thread but I needed to find a solution to this very thing today. I had one notebook using SparkContextfrom pyspark import SparkFilesfrom pyspark.sql.functions import *sc.addFile(url) But according to the runtime 14 release n...
Vectorized Pandas UDFs offer improved performance compared to standard PySpark UDFs by leveraging the power of Pandas and operating on entire columns of data at once, rather than row by row.They provide a more intuitive and familiar programming inter...
If you have the following Apache Pig FILTER statement:XCOCD_ACT_Y = FILTER XCOCD BY act_ind == 'Y';the equivalent code in Apache Spark is:XCOCD_ACT_Y_DF = (XCOCD_DF
.filter(col("act_ind") == "Y"))
Translating an Apache Pig FILTER statement to Spark requires understanding the differences in syntax and functionality between the two processing frameworks. While both aim to filter data, Spark uses a different syntax and approach, typically involvi...
Hi there, I read data from Azure Event Hub and after manipulating with data I write the dataframe back to Event Hub (I use this connector for that): #read data
df = (spark.readStream
.format("eventhubs")
.options(**ehConf)
...
I had the same problem when starting with databricks. As outlined above, it is the shuffle partitions setting that results in number of files equal to number of partitions. Thus, you are writing low data volume but get taxed on the amount of write (a...
reading data form url using spark ,community edition ,got a path related error ,any suggestions please ?
url = "https://raw.githubusercontent.com/thomaspernet/data_csv_r/master/data/adult.csv"
from pyspark import SparkFiles
spark.sparkContext.addFil...
I was using String indexer, while fitting, transforming I didn't get any erro. but While runnign show function I am getting error, I mention the error beloworg.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 45.0 failed...
Hey ajay,You can follow this module to unzip your zip file.To give your brief idea about this, it will unzip your file directly into your driver node storage.So If your compressed data is inside DBFS then you first have to move that to drive node and...
