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Showing posts with the label Apache Spark Sql
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
Pyspark 2.1: Importing Module With Udf's Breaks Hive Connectivity

Pyspark 2.1: Importing Module With Udf's Breaks Hive Connectivity

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I'm currently working with Spark 2.1 and have a main script that calls a helper module that con… Read more Pyspark 2.1: Importing Module With Udf's Breaks Hive Connectivity
Spark: How To Transform Json String With Multiple Keys, From Data Frame Rows?

Spark: How To Transform Json String With Multiple Keys, From Data Frame Rows?

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I'm looking for a help, how to parse json string with multiple keys to json struct, see require… Read more Spark: How To Transform Json String With Multiple Keys, From Data Frame Rows?
Spark Dataframe In Python - Execution Stuck When Using Udfs

Spark Dataframe In Python - Execution Stuck When Using Udfs

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I have a spark job written in Python which is reading data from the CSV files using DataBricks CSV … Read more Spark Dataframe In Python - Execution Stuck When Using Udfs
Hourly Aggregation In Pyspark

Hourly Aggregation In Pyspark

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I'm looking for a way to aggregate by hour my data. I want firstly to keep only hours in my evt… Read more Hourly Aggregation In Pyspark
Converting Complex Rdd To A Flatten Rdd With Pyspark

Converting Complex Rdd To A Flatten Rdd With Pyspark

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I have the following CSV (sample) id timestamp routeid creationdate parameter… Read more Converting Complex Rdd To A Flatten Rdd With Pyspark