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using Spark SQL or particularly %SQL in a databricks notebook, is there a way to use pagination or offset or skip ?

User16783853501
New Contributor II
New Contributor II

using Spark SQL or particularly %SQL in a databricks notebook, is there a way to use pagination or offset or skip ? 

2 REPLIES 2

aladda
Honored Contributor II
Honored Contributor II

Can you clarify what are you looking for and what your use case is? Are you asking whether there's a preference for using Spark SQL or just direct SQL with %sql or something else?

sajith_appukutt
Honored Contributor II

There is no offset support yet. Here are a few possible workarounds

  • If you data is all in one partition ( rarely the case 🙂 ) , you could create a column with monotonically_increasing_id and apply filter conditions. if there are multiple partitions, monotonically_increasing_id won't be consecutive

  • Use except ( in your case sql equivalent of code below) . This however would be an expensive operation
df1 = df.limit(10); 
df2 = df.except(df1); 
df2.limit(20);

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