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Showing posts with the label Apache Spark Sql
Spark: How To Transpose And Explode Columns With Nested Arrays

Spark: How To Transpose And Explode Columns With Nested Arrays

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I applied an algorithm from the question below(in NOTE) to transpose and explode nested spark dataf… Read more Spark: How To Transpose And Explode Columns With Nested Arrays
Compare Two Dataframes Pyspark

Compare Two Dataframes Pyspark

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I'm trying to compare two data frames with have same number of columns i.e. 4 columns with id a… Read more Compare Two Dataframes Pyspark
Add Column To Pyspark Dataframe Based On A Condition

Add Column To Pyspark Dataframe Based On A Condition

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My data.csv file has three columns like given below. I have converted this file to python spark dat… Read more Add Column To Pyspark Dataframe Based On A Condition
How To Get 1000 Records From Dataframe And Write Into A File Using Pyspark?

How To Get 1000 Records From Dataframe And Write Into A File Using Pyspark?

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I am having 100,000+ of records in dataframe. I want to create a file dynamically and push 1000 rec… Read more How To Get 1000 Records From Dataframe And Write Into A File Using Pyspark?
Pyspark: How To Flatten Nested Arrays By Merging Values In Spark

Pyspark: How To Flatten Nested Arrays By Merging Values In Spark

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I have 10000 jsons with different ids each has 10000 names. How to flatten nested arrays by mergin… Read more Pyspark: How To Flatten Nested Arrays By Merging Values In Spark
Ambiguous Behavior While Adding New Column To Structtype

Ambiguous Behavior While Adding New Column To Structtype

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I defined a function in PySpark which is- def add_ids(X): schema_new = X.schema.add('id_col… Read more Ambiguous Behavior While Adding New Column To Structtype