![]() Please note that you need to have the correct column name ( mydates) in the select clause of the query, and adjust the code according to your specific use case and column names. Make sure to import the necessary functions ( date_format) and create a SparkSession before running the code.īy using this modified code, the query will filter the mytable dataframe to only include rows where the mydates field matches the yyyyMMdd format of the last day of the previous month. dayofmonth () Function with column name as argument extracts nth day of month from da. ![]() dayofyear () Function with column name as argument extracts nth day of year from date in pyspark. This allows you to compare the two dates in the desired format. In order to get day of month, day of year and day of week from date in pyspark we will be using dayofmonth (), dayofyear () and dayofweek () function respectively. In this modified code, the date_format function is used to format both the mydates field and the result of last_day(add_months(current_date(), -1)) to the 'yyyyMMdd' format. Here's an example of how you can modify the code to achieve the desired date format: from import date_formatĭf = spark.sql("select * from mytable where date_format(mydates, 'yyyyMMdd') = date_format(last_day(add_months(current_date(), -1)), 'yyyyMMdd')") To modify the date format in the SQL query, you can use the date_format function provided by Spark SQL. Spark = ()ĭf = spark.sql("select * from xxxxx where date_format(mydates, 'yyyyMMdd') = date_format(last_day(add_months(current_date(), -1)), 'yyyyMMdd')") I have updated this question in line with the suggested answer, however I'm still getting yyyy-MM-dd. Whereas the previous code did return results, but with date format on field 'mydates' as yyyy-MM-dd and I would like yyyyMMdd. I didn't get an error with the above, however it didnt' return any results. I tried the following df = sql("select * from mytable where mydates = last_day(add_months(current_date(),'yyyyMMdd'-1))") ![]() However, I would like the code to return the 'mydates' field with the following format The following PySpark code will return the following date format on the field 'mydates'Īs yyyy-MM-dd df = sql("select * from mytable where mydates = last_day(add_months(current_date(),-1))") ![]()
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