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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

steelman
by New Contributor III
  • 19969 Views
  • 6 replies
  • 8 kudos

Resolved! how to flatten non standard Json files in a dataframe

hello, I have a non standard Json file with a nested file structure that I have issues with. Here is an example of the json file. jsonfile= """[ { "success":true, "numRows":2, "data":{ "58251":{ "invoiceno":"58...

desired format in the dataframe after processing the json file
  • 19969 Views
  • 6 replies
  • 8 kudos
Latest Reply
Deepak_Bhutada
Databricks Employee
  • 8 kudos

@stale stokkereit​ You can use the below function to flatten the struct fieldimport pyspark.sql.functions as F   def flatten_df(nested_df): flat_cols = [c[0] for c in nested_df.dtypes if c[1][:6] != 'struct'] nested_cols = [c[0] for c in nest...

  • 8 kudos
5 More Replies
Adalberto
by New Contributor II
  • 6021 Views
  • 4 replies
  • 2 kudos

Resolved! cannot resolve '(CAST(10000 AS BIGINT) div Khe)' due to data type mismatch:

Hi,I'm trying to create a delta table using SQL but I'm getting this errorError in SQL statement: AnalysisException: cannot resolve '(CAST(10000 AS BIGINT) div Khe)' due to data type mismatch: differing types in '(CAST(10000 AS BIGINT) div Khe)' (big...

  • 6021 Views
  • 4 replies
  • 2 kudos
Latest Reply
Noopur_Nigam
Databricks Employee
  • 2 kudos

Hi @Adalberto Garcia Espinosa​ Do you need khe column to be double? If not, below query is working:%sql CREATE OR REPLACE TABLE Productos(Khe bigint NOT NULL,Fctor_HL_Estiba bigint GENERATED ALWAYS AS (cast(10000 as bigint) div Khe)) seems to be work...

  • 2 kudos
3 More Replies
Ambi
by New Contributor III
  • 6448 Views
  • 5 replies
  • 8 kudos

Resolved! Access azure storage account from databricks notebook using pyspark or SQL

I have a storage account - Azure BLOB StorageThere I had container. Inside the container we had a CSV file. Couldn't read the file using the access Key and Storage account name.Any idea how to read file using PySpark/SQL? Thanks in advance

  • 6448 Views
  • 5 replies
  • 8 kudos
Latest Reply
Atanu
Databricks Employee
  • 8 kudos

@Ambiga D​ you need to mount the storage https://docs.databricks.com/data/data-sources/azure/azure-storage.html#mount-azure-blob-storage-containers-to-dbfs you can follow this,thanks.

  • 8 kudos
4 More Replies
Jeff1
by Contributor II
  • 25708 Views
  • 5 replies
  • 9 kudos

Resolved! How to write *.csv file from DataBricks FileStore

Struggling with how to export a Spark dataframe as a *.csv file to a local computer. I'm successfully using the spark_write_csv funciton (sparklyr R library R) to write the csv file out to my databricks dbfs:FileStore location. Becase (I'm assuming)...

  • 25708 Views
  • 5 replies
  • 9 kudos
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 9 kudos

sparklyr has a different syntax. There is function sdf_coalesce.The code which you paste is for Scala/Python. Additionally, even in python you can only specify folder not file so CSV("dbfs:FileStore/temp/")

  • 9 kudos
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Anonymous
by Not applicable
  • 917 Views
  • 0 replies
  • 2 kudos

www.vandevelde.eu

June Featured Member of the Month ! Werner Stinckens Job Title: Data Engineer @ Van de Velde (www.vandevelde.eu)What are three words your coworkers would use to describe you?Helpful, accurate, inquisitiveWhat is your favorite thing about your curren...

  • 917 Views
  • 0 replies
  • 2 kudos
enri_casca
by New Contributor III
  • 12853 Views
  • 13 replies
  • 2 kudos

Resolved! Couldn't convert string to float when fit model

Hi, I am very new in databricks and I am trying to run quick experiments to understand the best practice for me, my colleagues and the company.I pull the data from snowflakedf = spark.read \  .format("snowflake") \  .options(**options) \  .option('qu...

  • 12853 Views
  • 13 replies
  • 2 kudos
Latest Reply
-werners-
Esteemed Contributor III
  • 2 kudos

can you check this SO topic?

  • 2 kudos
12 More Replies
SailajaB
by Valued Contributor III
  • 13338 Views
  • 5 replies
  • 12 kudos

Resolved! how to convert each row of df to array of rows(list of rows)

Hi,How to convert each row of dataframe to array of rows?Here is our scenario , we need to pass each row of dataframe to one function as dict to apply the key level transformations. But as our data is very huge we can't use collect df.toJson().colle...

  • 13338 Views
  • 5 replies
  • 12 kudos
Latest Reply
SailajaB
Valued Contributor III
  • 12 kudos

@Hubert Dudek​ , Thank you for the reply. We are new to ADB. And using the below code, looking for an optimized way to do itdfJSONString = df.toJSON().collect()stringList = []  for row in dfJSONString:    # ==== Unflatten the JSON string ==== #    js...

  • 12 kudos
4 More Replies
Alix
by New Contributor III
  • 13735 Views
  • 8 replies
  • 3 kudos

Resolved! Remote RPC client disassociated error

Hello,I've been trying to submit a job to a transient cluster, but it is failing with this error :Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in ...

  • 13735 Views
  • 8 replies
  • 3 kudos
Latest Reply
shan_chandra
Databricks Employee
  • 3 kudos

@Alix Métivier​  - The error is thrown from the user code (please investigate the jar file attached to the cluster). at m80.dbruniv_0_1.dbruniv.tFixedFlowInput_1Process(dbruniv.java:941)at m80.dbruniv_0_1.dbruniv.run(dbruniv.java:1654)at m80.dbruniv_...

  • 3 kudos
7 More Replies
cuteabhi32
by New Contributor III
  • 53112 Views
  • 11 replies
  • 1 kudos

Resolved! Trying to check if a column exist in a dataframe or not if not then i have to give NULL if yes then i need to give the column itself by using UDF

from pyspark import SparkContextfrom pyspark import SparkConffrom pyspark.sql.types import *from pyspark.sql.functions import *from pyspark.sql import *from pyspark.sql.types import StringTypefrom pyspark.sql.functions import udfdf1 = spark.read.form...

  • 53112 Views
  • 11 replies
  • 1 kudos
Latest Reply
cuteabhi32
New Contributor III
  • 1 kudos

Thanks i modified my code as per your suggestion and it worked perfectly Thanks again for all your inputsdflist= spark.createDataFrame(list(a.columns), "string").toDF("Name")dfg=dflist.filter(col('name').isin('ref_date')).count()if dfg==1 :  a = a.wi...

  • 1 kudos
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Steamboat_Ski_C
by New Contributor
  • 1104 Views
  • 0 replies
  • 0 kudos

What are Canyon Creek Condos and what do they offer residents?Canyon Creek Condos are a type of housing that is becoming increasingly popular in the U...

What are Canyon Creek Condos and what do they offer residents?Canyon Creek Condos are a type of housing that is becoming increasingly popular in the United States. These types of condos are typically located in rural or suburban areas and offer resid...

  • 1104 Views
  • 0 replies
  • 0 kudos
Data_Cowboy
by New Contributor III
  • 11181 Views
  • 3 replies
  • 1 kudos

Resolved! Plotting in pyspark.pandas Uncaught ReferenceError Plotly is not defined

Hi, I am trying to plot using pyspark.pandas running this sample code: speed = [0.1, 17.5, 40, 48, 52, 69, 88] lifespan = [2, 8, 70, 1.5, 25, 12, 28] index = ['snail', 'pig', 'elephant', 'rabbit', 'giraffe', 'coyote', 'horse'] psdf = ps.Data...

Error Message
  • 11181 Views
  • 3 replies
  • 1 kudos
Latest Reply
Data_Cowboy
New Contributor III
  • 1 kudos

Thank you @Werner Stinckens​ . I was able to find the plotly documentation listed below and setting the output_type and calling displayHTML() helped remedy the error.

  • 1 kudos
2 More Replies
arda_123
by New Contributor III
  • 3991 Views
  • 2 replies
  • 1 kudos

SQL Analytics Map Visualization: Map marker size

Hello all, I am trying to use the Map visualization in SQL Analytics Dashboard in Databricks. Does any one knows how or if we can change the size/radius of the markers based on values in another column. This seems like a very trivial parameter but I ...

  • 3991 Views
  • 2 replies
  • 1 kudos
Latest Reply
arda_123
New Contributor III
  • 1 kudos

Thanks @Kaniz Fatma​ 

  • 1 kudos
1 More Replies
laurencewells
by New Contributor III
  • 6093 Views
  • 5 replies
  • 1 kudos

Autoloader and "cleanSource"

Hi All, We are trying to use the Spark 3 structured streaming feature/option ".option('cleanSource','archive')" to archive processed files. This is working as expected using the standard spark implementation, however does not appear to work using aut...

  • 6093 Views
  • 5 replies
  • 1 kudos
Latest Reply
-werners-
Esteemed Contributor III
  • 1 kudos

https://docs.databricks.com/ingestion/auto-loader/options.html#common-auto-loader-optionscleanSource is not a listed option so it won't do anything.Maybe event retention is something you can use?

  • 1 kudos
4 More Replies
RiyazAliM
by Honored Contributor
  • 8241 Views
  • 3 replies
  • 3 kudos

Is there a way to CONCAT two dataframes on either of the axis (row/column) and transpose the dataframe in PySpark?

I'm reshaping my dataframe as per requirement and I came across this situation where I'm concatenating 2 dataframes and then transposing them. I've done this previously using pandas and the syntax for pandas goes as below:import pandas as pd   df1 = ...

  • 8241 Views
  • 3 replies
  • 3 kudos
Latest Reply
RiyazAliM
Honored Contributor
  • 3 kudos

Hi @Kaniz Fatma​ ,I no longer see the answer you've posted, but I see you were suggesting to use `union`. As per my understanding, union are used to stack the dfs one upon another with similar schema / column names.In my situation, I have 2 different...

  • 3 kudos
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