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dataframe takes unusually long time to save as a delta table using sql for a very small dataset with 30k rows. It takes around 2hrs. Is there a solution for this problem?
I am trying to save a dataframe after a series of data manipulations using Udf functions to a delta table. I tried using this code( df .write .format('delta') .mode('overwrite') .option('overwriteSchema', 'true') .saveAsTable('output_table'))but this...
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You should also look into the sql plan if the writing phase is indeed the part that is taking time. Since spark works on lazy evaluation, there might be some other phase that might be taking time
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