scala - create substring column in spark dataframe

Scala - create substring column in spark dataframe

To create a substring column in a Spark DataFrame, you can use the withColumn method along with the substring function from the org.apache.spark.sql.functions package. Here's how you can do it:

import org.apache.spark.sql.functions._ // Sample DataFrame val df = Seq( ("John Doe", 30), ("Jane Smith", 35), ("Alice Johnson", 40) ).toDF("name", "age") // Create a new column "substring_name" containing the first 4 characters of the "name" column val dfWithSubstring = df.withColumn("substring_name", substring(col("name"), 1, 4)) dfWithSubstring.show()

Output:

+-------------+---+---------------+ | name|age|substring_name| +-------------+---+---------------+ | John Doe| 30| John| | Jane Smith| 35| Jane| |Alice Johnson| 40| Alic| +-------------+---+---------------+

In this example:

  • We import the substring function from the org.apache.spark.sql.functions package.
  • We use the withColumn method to create a new column called "substring_name".
  • Inside the withColumn method, we use the substring function to extract the first 4 characters of the "name" column, starting from index 1.

You can adjust the substring length and starting index according to your requirements.

Examples

  1. Search Query: "Scala Spark dataframe substring column example"

    • Description: This query aims to find examples of Scala code snippets demonstrating how to create a substring column in a Spark DataFrame using Spark's DataFrame API in Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  2. Search Query: "Scala Spark dataframe substring column documentation"

    • Description: This query seeks official or detailed documentation explaining how to use substring functions in Spark DataFrame columns within Scala context.
    • Code Implementation:
      // Documentation reference: // https://spark.apache.org/docs/latest/api/scala/org/apache/spark/sql/functions$.html#substring(col:org.apache.spark.sql.Column,startPos:int,length:int):org.apache.spark.sql.Column // Example usage: import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  3. Search Query: "Scala Spark substring column example"

    • Description: This query looks for general examples of using substring operations in Scala with Spark.
    • Code Implementation:
      val str = "Hello World" val substr = str.substring(0, 5) // Returns "Hello"

  4. Search Query: "Spark DataFrame substring Scala"

    • Description: This query targets resources specifically focusing on Spark DataFrame operations involving substring in Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  5. Search Query: "Scala Spark DataFrame add substring column"

    • Description: This query intends to find resources demonstrating how to add a new column with substring values to a Spark DataFrame in Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  6. Search Query: "Scala Spark DataFrame manipulate column substring"

    • Description: This query looks for examples of manipulating column values using substring operations in Spark DataFrames with Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  7. Search Query: "Scala Spark DataFrame extract substring"

    • Description: This query aims to extract substrings from DataFrame columns in Spark using Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  8. Search Query: "Scala Spark DataFrame select substring"

    • Description: This query focuses on selecting substring values from DataFrame columns in Spark using Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  9. Search Query: "Scala Spark DataFrame column string manipulation"

    • Description: This query seeks examples of string manipulation techniques on DataFrame columns in Spark using Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

  10. Search Query: "Scala Spark DataFrame substring function usage"

    • Description: This query looks for usage examples of the substring function in Spark DataFrame operations with Scala.
    • Code Implementation:
      import org.apache.spark.sql.functions._ val df = // Your DataFrame // Creating a new column 'substring_col' by applying substring operation on 'original_col' val newDF = df.withColumn("substring_col", substring(col("original_col"), 1, 5))

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