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Read more about the article Spark SQL – Select Columns From DataFrame
Apache Spark

Spark SQL – Select Columns From DataFrame

In Spark SQL, select() function is used to select one or multiple columns, nested columns, column by index, all columns, from the list, by regular expression from a DataFrame. select()…

1 Comment
March 14, 2021
Apache Spark

Spark Cast String Type to Integer Type (int)

In Spark SQL, in order to convert/cast String Type to Integer Type (int), you can use cast() function of Column class, use this function with withColumn(), select(), selectExpr() and SQL…

3 Comments
March 12, 2021
PySpark

PySpark Convert String Type to Double Type

In PySpark SQL, using the cast() function you can convert the DataFrame column from String Type to Double Type or Float Type. This function takes the argument string representing the…

0 Comments
March 12, 2021
Apache Spark

Spark select() vs selectExpr() with Examples

Spark SQL select() and selectExpr() are used to select the columns from DataFrame and Dataset, In this article, I will explain select() vs selectExpr() differences with examples. Both these are…

0 Comments
August 29, 2020
Read more about the article PySpark Select Columns From DataFrame
PySpark

PySpark Select Columns From DataFrame

In PySpark, select() function is used to select single, multiple, column by index, all columns from the list and the nested columns from a DataFrame, PySpark select() is a transformation…

6 Comments
August 14, 2020

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