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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

SaraCorralLou
by New Contributor III
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Resolved! Differences between lit(None) or lit(None).cast('string')

I want to define a column with null values in my dataframe using pyspark. This column will later be used for other calculations.What is the difference between creating it in these two different ways?df.withColumn("New_Column", lit(None))df.withColumn...

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Anonymous
Not applicable
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Hi @Sara Corral​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedback ...

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cfregly
by Contributor
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srisre111
New Contributor II
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I am trying to store a dataframe as table in databricks and encountering the following error, can someone help? "typeerror: field date: can not merge type <class 'pyspark.sql.types.stringtype'> and <class 'pyspark.sql.types.doubletype'>"

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dan11
by New Contributor II
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sql: how to convert datatype of column?

Bricklayers, I want to port this sql statement from sqlite to databricks: select cast(myage as number) as my_integer_age from ages; Does databricks allow me to do something like this?

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raela
Databricks Employee
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@dan11 We don't support number in Spark SQL. Try using int, double, float, and your query should be fine. To run SQL in a notebook, just prepend any cell with %sql. %sql select cast(myage as double) as my_integer_age from ages;

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