Fabric Notebook with a default lakhouse (Silver) and another lakehouse mounted (Gold)

[DebbieE]

I am creating a dataframe with data from silver lakehouse so this is the default one. dev_silver_lk

But I want to create a dimension Delta Parquet file in the gold lakehouse dev_gold_lk

I have also mounted this Data lake to the notebook (They both are in public preview as I have Schemas ticked)

And I just cant seem to do it? 

Surely this should be possible? 

I suspect it might be because my Lakehouse has Preview schemas? I tried this and it didnt work in Pyspark Notebook

gold_lh = "dev_timesheet_gold_lh"

target_path = gold_lh + "/Tables/dimCustomer"

from delta.tables import DeltaTable

dfBlockersKey_reordered.write.format("delta").mode("overwrite").save(target_path)

But I just get Py4JJavaError: An error occurred while calling o17332.save. : Operation failed: "Bad Request", 400, HEAD,

[PanuO]

Try providing full ABFSS path:

DELTA_TABLE_PATH = "abfss://(workspace id)@onelake.dfs.fabric.microsoft.com/(lakehouse id)/Tables/(tablename)"

delta_table = DeltaTable.forPath(spark, DELTA_TABLE_PATH)
...

[v-nmadadi-msft]

Hi @DebbieE  ,
Thanks for reaching out to the Microsoft fabric community forum.

Currently Lakehouse with schema enabled have some limitations as they are still in public preview,

source: Lakehouse schemas (Preview) - Microsoft Fabric | Microsoft Learn

Please try performing the operation with schemas disabled to see if the issue still occurs.


If this post helps, then please consider Accepting as solution to help the other members find it more quickly and consider giving a KUDOS. Feel free to reach out if you need further assistance.
Thank you

[Liam_McCauley]

You could try saveAsTable:

dfBlockersKey_reordered.write \
    .format("delta") \
    .mode("overwrite") \
    .saveAsTable("dev_timesheet_gold_lh.dimCustomer")