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Hi @JoeCrozier ,
Thanks for using Fabric Community.
Unfortunately I am unable to find any way to save a dataframe as table using spark R even after searching every where in google. I am not sure whether we can do this directly or not.
But I found an alternative way inorder to avoid manual step, you can use below code snippet in pyspark to load the files from csv to table in lakehouse.
Code Snippet -
df = spark.read.format("csv").option("header","true").load("Files/year/month/date/sales.csv")
# df now is a Spark DataFrame containing CSV data from "Files/year/month/date/sales.csv".
display(df)
df.write.format("delta").save("Tables/actual_weather")
Above code can be executed along with your existing code, but make sure that above code is written in pyspark not in spark R.
Hope this is helpful. Please let me know incase of further queries.
Hi @JoeCrozier ,
Thanks for using Fabric Community.
Unfortunately I am unable to find any way to save a dataframe as table using spark R even after searching every where in google. I am not sure whether we can do this directly or not.
But I found an alternative way inorder to avoid manual step, you can use below code snippet in pyspark to load the files from csv to table in lakehouse.
Code Snippet -
df = spark.read.format("csv").option("header","true").load("Files/year/month/date/sales.csv")
# df now is a Spark DataFrame containing CSV data from "Files/year/month/date/sales.csv".
display(df)
df.write.format("delta").save("Tables/actual_weather")
Above code can be executed along with your existing code, but make sure that above code is written in pyspark not in spark R.
Hope this is helpful. Please let me know incase of further queries.
Thank you. Yea I posted this on reddit as well and got the same answer. He seemed to suggest "you can do all this in R" but then didnt know specifics and said to use python anyway.
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