I have a TempView in my PySpark notebook. When I run an SQL query on the view, the WHERE condition below doesn’t produce the expected result:

I have a TempView in my PySpark notebook. When I run an SQL query on the view, the WHERE condition below doesn’t produce the expected result:

I have a notebook that reads many parquet files in /source/Year=x/Month=y/Day=z, which is partitioned by the year, month, and day of the date the file was loaded (this is important, it is NOT the date of any particular field in the data itself). There’s a recordTimestamp field that is generally the same as the day before the load date – /source is generated elsewhere each day from an extract. But the recordTimestamp could actually be anything, such as a year old record that was previously not included for whatever reason.

I have a notebook that reads many parquet files in /source/Year=x/Month=y/Day=z, which is partitioned by the year, month, and day of the date the file was loaded (this is important, it is NOT the date of any particular field in the data itself). There’s a recordTimestamp field that is generally the same as the day before the load date – /source is generated elsewhere each day from an extract. But the recordTimestamp could actually be anything, such as a year old record that was previously not included for whatever reason.

I am trying to capitalize 1st letter and lowercase rest of the letters of string in spark sql.

I am trying to capitalize 1st letter and lowercase rest of the letters of string in spark sql.

I am trying to capitalize 1st letter and lowercase rest of the letters of string in spark sql.

I am trying to capitalize 1st letter and lowercase rest of the letters of string in spark sql.

I have a scenario where we need to implement a logic to include the missing dates based on the other fields and compute the value

I’m new to pyspark and trying to explore some new methods of implementation. I’m trying to pass a derived column in a dataframe as an argument to a function which queries and returns a value