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  3. Spark Scala

SPRKSCL1101

org.apache.spark.sql.functions.broadcast, org.apache.spark.broadcast

PreviousSPRKSCL1100NextSPRKSCL1102

Last updated 5 months ago

This issue code has been deprecated since

Message: Broadcast is not supported

Category: Warning

Description

This issue appears when the SMA detects a use of the function, which is not supported by Snowpark. This function is not supported because Snowflake does not support .

Scenario

Input

Below is an example of the org.apache.spark.sql.functions.broadcast function used to create a broadcast object to use on each Spark cluster:

    var studentData = Seq(
      ("James", "Orozco", "Science"),
      ("Andrea", "Larson", "Bussiness"),
    )

    var collegeData = Seq(
      ("Arts", 1),
      ("Bussiness", 2),
      ("Science", 3)
    )

    val dfStudent = studentData.toDF("FirstName", "LastName", "CollegeName")
    val dfCollege = collegeData.toDF("CollegeName", "CollegeCode")

    dfStudent.join(
      broadcast(dfCollege),
      Seq("CollegeName")
    )

Output

The SMA adds the EWI SPRKSCL1101 to the output code to let you know that this function is not supported by Snowpark.

    var studentData = Seq(
      ("James", "Orozco", "Science"),
      ("Andrea", "Larson", "Bussiness"),
    )

    var collegeData = Seq(
      ("Arts", 1),
      ("Bussiness", 2),
      ("Science", 3)
    )

    val dfStudent = studentData.toDF("FirstName", "LastName", "CollegeName")
    val dfCollege = collegeData.toDF("CollegeName", "CollegeCode")

    dfStudent.join(
      /*EWI: SPRKSCL1101 => Broadcast is not supported*/
      broadcast(dfCollege),
      Seq("CollegeName")
    )

Recommended fix

Since Snowflake manages the storage and the workload on the clusters making broadcast objects inapplicable. This means that the use of broadcast could not be required at all, but each case should require further analysis.

For the proposed input the fix is to adapt the join to use directly the dataframe collegeDF without the use of broadcast for the dataframe.

    var studentData = Seq(
      ("James", "Orozco", "Science"),
      ("Andrea", "Larson", "Bussiness"),
    )

    var collegeData = Seq(
      ("Arts", 1),
      ("Bussiness", 2),
      ("Science", 3)
    )

    val dfStudent = studentData.toDF("FirstName", "LastName", "CollegeName")
    val dfCollege = collegeData.toDF("CollegeName", "CollegeCode")

    dfStudent.join(
      dfCollege,
      Seq("CollegeName")
    ).show()

Additional recommendations

The recommended approach is replace a Spark dataframe broadcast by a Snowpark regular dataframe or by using a dataframe method as .

The provides insight about Snowflake storage management.

Snowpark could be useful in how to adapt a particular broadcast scenario.

For more support, you can email us at or post an issue .

Spark Conversion Core 2.3.22
org.apache.spark.sql.functions.broadcast
broadcast variables
Join
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Dataframe reference
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in the SMA