Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
Hi,I have multiple datasets in my data lake that feature valid_from and valid_to columns indicating validity of rows.If a row is valid currently, this is indicated by valid_to=9999-12-31 00:00:00.Example:Loading this into a Spark dataframe works fine...
Be aware, that in Databricks 15.2 LTS this behavior is broken.I cannot find the code, but most likely related to the following option:https://github.com/apache/spark/commit/c1c710e7da75b989f4d14e84e85f336bc10920e0#diff-f9ddcc6cba651c6ebfd34e29ef049c3...
Hi @Hubert Dudek,Pandas API doesn't support abfss protocol.You have three options:If you need to use pandas, you can write the excel to the local file system (dbfs) and then move it to ABFSS (for example with dbutils)Write as csv directly in abfss...
I have a dataframe that inexplicably takes forever to write to an MS SQL Server even though other dataframes, even much larger ones, write nearly instantly. I'm using this code:my_dataframe.write.format("jdbc")
.option("url",sqlsUrl)
.optio...
Had a similar issue. I can do 1-4 million rows in 1 minute via SSIS ETL on SQL server. Table is 15 fields long. Looking at your code it seems you have many fields but nothing like 300-400 fields which can affect performance. You can check SQL Server ...
I am curious what is going on under-the-hood when using `multiprocessing` module to parallelize an function call and apply it to a Pandas DataFrame along the row axis. Specifically, how does it work with DataBricks Architecture / Compute. My cluster ...
@Keval Shah :When using the multiprocessing module in Python to parallelize a function call and apply it to a Pandas DataFrame along the row axis, the following happens under the hood:The Pool object is created with the specified number of processes...
I trained my model and was able to get the batch prediction from that model as specified below. But I want to also get the probability scores for each prediction. Do you have any idea? Thank you!logged_model = path_to_model# Load model as a PyFuncMod...
Now you can log the model using this parameter:mlflow.sklearn.log_model(
..., # the usual params
pyfunc_predict_fn="predict_proba"
) which will return probabilities for the first class apparently when using the model for inference (e.g. when...
Dataframes to Pandas conversion step is failing with exception ""java.lang.IndexOutOfBoundsException: index: 16384, length: 4 (expected: range(0, 16384))", PFB screenshot for more details
Hi @Vindhya D Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers you...
Hi Everyone, I would like to a Pandas Dataframe to /dbfs/FileStore/ using to_csv method.Usually it would just write the Dataframe to the path described but It has been giving me "FileNotFoundError: [Errno 2] No such file or directory: '/dbfs/FileStor...
I am attempting to save a pandas DataFrame to as csv to a directory I created in Databricks workspace or in the `cwd`. import pandas as pd
import os
df.to_csv("data.csv", index=False)
df.to_csv(str(os.getcwd()) + "/data.csv", index=False)
...
Hi @Keval Shah ,You can save your dataframe to csv in dbfs storage.Please refer below code that might help you-df = pd.read_csv(StringIO(data), sep=',')
#print(df)
df.to_csv('/dbfs/FileStore/ajay/file1.txt')
Hi Everyone,I am wondering if anyone has experience using the bamboolib library within Databricks. I am currently using it for a client to display table data on the UI and potentially allow users to edit existing rows and insert new ones. While I hav...
Hi @Chhaya Vishwakarma I'm sorry you could not find a solution to your problem in the answers provided.Our community strives to provide helpful and accurate information, but sometimes an immediate solution may only be available for some issues.I sug...
Hi, I want to run df=pd.read_csv('/dbfs/FileStore/airlines1.csv') while trying to run getting error likeFileNotFoundError: [Errno 2] No such file or directory: '/dbfs/FileStore/airlines1.csv'Could you please help me out how to run pandas dataframe in...
Hi @Tinendra Kumar Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Tha...
Assume that I have a Spark DataFrame, and I want to see if records satisfy a condition.Example dataset:# Prepare Data
data = [('A', 1), \
('A', 2), \
('B', 3)
]
# Create DataFrame
columns= ['col_1', 'col_2']
df = spark.createDataF...
Hi all, i want to plot multiple charts from a pandas datafreame. However, when i run the code below it says "Command result size exceeds limit: Exceeded 20971520 bytes (current = 20973124)". If I move line 11 and place at 21 (outside of the functi...
Hi, I have a few questions about "Pandas API on Spark". Thanks for your time to read my questions1) Input to these functions are Pandas DataFrame or PySpark DataFrame?2) When I use any pandas function (like isna, size, apply, where, etc ), does it ru...
Hi @Mohammad Saber , Pandas dataset lives in the single machine, and is naturally iterable locally within the same machine. However, pandas-on-Spark dataset lives across multiple machines, and they are computed in a distributed manner. It is difficu...
Along withh several other issues I'm encountering, I am finding pandas dataframe to_sql being very slowI am writing to an Azure SQL database and performance is woeful. This is a test database and it has S3 100DTU and one user, me as it's configuratio...
Hi @Peter McLarty Does @Debayan Mukherjee response answer your question? If yes, would you be happy to mark it as best so that other members can find the solution more quickly?We'd love to hear from you.Thanks!
i need to convert a spark dataframe to pandas dataframe with arrow optimization spark.conf.set("spark.sql.execution.arrow.enabled", "true")data_df=df.toPandas()but getting one of the below error randomly while doing so Exception: arrow is not support...
Can you confirm this is a known issue?Running into same issue, example to test in 1 cell.# using Arrow fails on HighConcurrency-cluster with PassThrough in runtime 10.4 (and 10.5 and 11.0)
spark.conf.set("spark.sql.execution.arrow.pyspark.enabled",...
