![]() Type cast an integer column to decimal column in pyspark. Can anyone assist me where I am doing it wrong because I looked for solutions provided they are not working for me. You can use the Spark CAST method to convert data frame column data type to. Try this:ĭo you have any other conditions in your WHERE clause? If so, you may not have encountered this error before if those conditions allowed SQL Server to weed out the rows where Column2 cannot be converted to decimal(20,6) before it evaluated the CASE expression. Error converting data type varchar to numeric In my query I am fetching records based on particular codes and then I use the the query fails but using <> the query runs.![]() ISNUMERIC() is not a reliable way of determining whether a varchar value can be converted to a numeric datatype. Asking for help, clarification, or responding to other answers. You are getting the error because in mixed type expressions, SQL Server converts to the more 'restrictive' type (to simplify the logic). You have a value in Column2 that cannot be converted to decimal(20,6). Thanks for contributing an answer to Stack Overflow Please be sure to answer the question.Provide details and share your research But avoid. You have two choices, basically: convert both to numbers or both to strings. ISNUMERIC indicates column2 can be converted (when column1 'ABC') If a comment out the WHERE clause and place the code in question in the select statement the query runs. What is happening there I have already converted to numeric if accountcode valid, but it seems the query is. WHERE CASE Column1 WHEN 'ABC' THEN 1 ELSE CONVERT(decimal(20,6),Column2)END) IS NOT NULLĬolumn1 is varchar(100). Error converting data type varchar to numeric. I have a WHERE clause that worked reliably but is now generating the an error: Error converting data type varchar to numeric. Sorry for the narrative but I can't seem to generate sample data to reproduce my problem.
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