'Pyspark join on multiple aliased table columns
Python doesn't like the ampersand below.
I get the error:& is not a supported operation for types str and str. Please review your code.
Any idea how to get this right? I've never tried to join more than 1 column for aliased tables. Thx!!
df_initial_sample = df_crm.alias('crm').join(df_cngpt.alias('cng'), on= (("crm.id=cng.id") & ("crm.cpid = cng.cpid")), how = "inner")
Solution 1:[1]
Try using as below -
df_initial_sample = df_crm.alias('crm').join(df_cngpt.alias('cng'), on= (["id"] and ["cpid"]), how = "inner")
Solution 2:[2]
Your join condition is overcomplicated. It can be as simple as this
df_initial_sample = df_crm.join(df_cngpt, on=['id', 'cpid'], how = 'inner')
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | DKNY |
| Solution 2 | pltc |
