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Showing posts with the label Apache Spark Sql
Spark - Set Null When Column Not Exist In Dataframe

Spark - Set Null When Column Not Exist In Dataframe

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I'm loading many versions of JSON files to spark DataFrame. some of the files holds columns A,B… Read more Spark - Set Null When Column Not Exist In Dataframe
Removing Duplicate Columns After A Df Join In Spark

Removing Duplicate Columns After A Df Join In Spark

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When you join two DFs with similar column names: df = df1.join(df2, df1['id'] == df2['i… Read more Removing Duplicate Columns After A Df Join In Spark
Spark: How To Parse Json String Of Nested Lists To Spark Data Frame?

Spark: How To Parse Json String Of Nested Lists To Spark Data Frame?

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How to parse JSON string of nested lists to spark data frame in pyspark ? Input data frame: +------… Read more Spark: How To Parse Json String Of Nested Lists To Spark Data Frame?
Pyspark, Compare Two Rows In Dataframe

Pyspark, Compare Two Rows In Dataframe

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I'm attempting to compare one row in a dataframe with the next to see the difference in timesta… Read more Pyspark, Compare Two Rows In Dataframe
Selecting Empty Array Values From A Spark Dataframe

Selecting Empty Array Values From A Spark Dataframe

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Given a DataFrame with the following rows: rows = [ Row(col1='abc', col2=[8], col3=[18]… Read more Selecting Empty Array Values From A Spark Dataframe
Best Way To Get Null Counts, Min And Max Values Of Multiple (100+) Columns From A Pyspark Dataframe

Best Way To Get Null Counts, Min And Max Values Of Multiple (100+) Columns From A Pyspark Dataframe

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Say I have a list of column names and they all exist in the dataframe Cols = ['A', 'B&… Read more Best Way To Get Null Counts, Min And Max Values Of Multiple (100+) Columns From A Pyspark Dataframe