Best way to get the max value in a Spark dataframe column
Best way to get the max value in a Spark dataframe column Ask ion Asked 8 years 1 month ago Modified 1 year ago Viewed 396k times 133 I m trying to figure out the best way to get the largest value in a Spark dataframe column Consider the following example df spark createDataFrame 1 4 2 5 3 6 A B df show
Spark SQL Array Functions Complete List Spark By Examples, Spark SQL provides built in standard array functions defines in DataFrame API these come in handy when we need to make operations on array ArrayType column All these accept input as array column and several other arguments based on the function
Spark SQL Built in Functions Apache Spark
Size expr Returns the size of an array or a map The function returns null for null input if spark sql legacy sizeOfNull is set to false or spark sql ansi enabled is set to true Otherwise the function returns 1 for null input With the default settings the function returns 1 for null input
PySpark max Different Methods Explained Spark By Examples, 6 Agg Max Use the DataFrame agg function to get the max from the column in the dataframe This method is known as aggregation which allows to group the values within a column or multiple columns It takes the parameter as a dictionary with the key being the column name and the value being the aggregate function sum count min max e t c Using agg max df agg discount max fee
Select column name per row for max value in PySpark
Select column name per row for max value in PySpark, 1 Possible duplicate of how to get the name of column with maximum value in pyspark dataframe Suresh May 31 2019 at 16 59 Add a comment 5 Answers Sorted by 11 You can use UDF on each row for row wise computation and use struct to pass multiple columns to udf Hope this helps
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Functions Spark SQL Built in Functions Apache Spark
Functions Spark SQL Built in Functions Apache Spark Arguments expr1 expr2 the two expressions must be same type or can be casted to a common type and must be a type that can be ordered For example map type is not orderable so it is not supported For complex types such array struct the data types of fields must be orderable Examples
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4 Answers Sorted by 6 Since Spark 2 4 you can use array min to find the minimum value in an array To use this function you will first have to cast your arrays of strings to arrays of integers Casting will also take care of the empty strings by converting them into null values DF select id array min expr cast complete1 as array Get minimum value from an Array in a Spark DataFrame column. Apache Spark November 23 2023 The min function is used to get the minimum value of the DataFrame column and max function is used to get the maximum value of the column These functions are also available on RDD to get the min max values Column names or Column s that have the same data type Examples df select array age age alias arr collect Row arr 2 2 Row arr 5 5 df select array df age df age alias arr collect Row arr 2 2 Row arr 5 5 pyspark sql functions approx count distinct pyspark sql functions array contains
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