merge statement in 2 data frame

Vineet S 305

Hi ,

how to use merge statement in 2 dataframe

df1=spark.sql("" sellect cole1,col2 from table1""")

df2=spark.sql("" sellect cole1,col2 from table2""")

expected results

merge into table2 using tabl1 on table1.col1=table2.col1 when not matched then insert*

Smaran Thoomu 12,105 Reputation points Microsoft Vendor

2024-07-08T05:10:49.18+00:00
Hi @Vineet S

Thanks for the question and using MS Q&A platform.To use the merge statement in two dataframes in PySpark, you can use the merge function available in the pyspark.sql.functions module. Here is an example code snippet that demonstrates how to use the merge function:

from pyspark.sql.functions import col

In this example, we first load data from table1 and table2 into two dataframes df1 and df2. We then define the merge condition as df1.col1 == df2.col1. We perform the merge operation using the join function and select the columns we want to keep in the merged dataframe. Finally, we insert the new rows into table2 using the write function.

Note that the merge function is not available in PySpark as of version 3.2.0. However, you can achieve similar functionality using the join function and selecting the columns you want to keep in the merged dataframe.

I hope this helps! Let me know if you have any further questions.
Smaran Thoomu 12,105 Reputation points Microsoft Vendor

2024-07-09T10:53:09.3966667+00:00

@Vineet S We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

1 answer