SPRKSCL1119

org.apache.spark.sql.Column.endsWith

Message: org.apache.spark.sql.Column.endsWith has a workaround, see documentation for more info

Category: Warning

Description

This issue appears when the SMA detects a use of the function, which has a workaround.

Scenario

Input

Below is an example of the org.apache.spark.sql.Column.endsWith function, first used with a literal string argument and then with a column object argument.

val df1 = Seq(
  ("Alice", "alice@example.com"),
  ("Bob", "bob@example.org"),
  ("David", "david@example.com")
).toDF("name", "email")
val result1 = df1.filter(col("email").endsWith(".com"))

val df2 = Seq(
  ("Alice", "alice@example.com", ".com"),
  ("Bob", "bob@example.org", ".org"),
  ("David", "david@example.org", ".com")
).toDF("name", "email", "suffix")
val result2 = df2.filter(col("email").endsWith(col("suffix")))

Output

The SMA adds the EWI SPRKSCL1119 to the output code to let you know that this function is not directly supported by Snowpark, but it has a workaround.

val df1 = Seq(
  ("Alice", "alice@example.com"),
  ("Bob", "bob@example.org"),
  ("David", "david@example.com")
).toDF("name", "email")
/*EWI: SPRKSCL1119 => org.apache.spark.sql.Column.endsWith has a workaround, see documentation for more info*/
val result1 = df1.filter(col("email").endsWith(".com"))

val df2 = Seq(
  ("Alice", "alice@example.com", ".com"),
  ("Bob", "bob@example.org", ".org"),
  ("David", "david@example.org", ".com")
).toDF("name", "email", "suffix")
/*EWI: SPRKSCL1119 => org.apache.spark.sql.Column.endsWith has a workaround, see documentation for more info*/
val result2 = df2.filter(col("email").endsWith(col("suffix")))

Recommended fix

val df1 = Seq(
  ("Alice", "alice@example.com"),
  ("Bob", "bob@example.org"),
  ("David", "david@example.com")
).toDF("name", "email")
val result1 = df1.filter(endswith(col("email"), lit(".com")))

val df2 = Seq(
  ("Alice", "alice@example.com", ".com"),
  ("Bob", "bob@example.org", ".org"),
  ("David", "david@example.org", ".com")
).toDF("name", "email", "suffix")
val result2 = df2.filter(endswith(col("email"), col("suffix")))

Additional recommendations

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Last updated 5 months ago

val df1 = Seq( ("Alice", "alice@example.com"), ("Bob", "bob@example.org"), ("David", "david@example.com") ).toDF("name", "email") val result1 = df1.filter(col("email").endsWith(".com")) val df2 = Seq( ("Alice", "alice@example.com", ".com"), ("Bob", "bob@example.org", ".org"), ("David", "david@example.org", ".com") ).toDF("name", "email", "suffix") val result2 = df2.filter(col("email").endsWith(col("suffix")))

val df1 = Seq( ("Alice", "alice@example.com"), ("Bob", "bob@example.org"), ("David", "david@example.com") ).toDF("name", "email") /*EWI: SPRKSCL1119 => org.apache.spark.sql.Column.endsWith has a workaround, see documentation for more info*/ val result1 = df1.filter(col("email").endsWith(".com")) val df2 = Seq( ("Alice", "alice@example.com", ".com"), ("Bob", "bob@example.org", ".org"), ("David", "david@example.org", ".com") ).toDF("name", "email", "suffix") /*EWI: SPRKSCL1119 => org.apache.spark.sql.Column.endsWith has a workaround, see documentation for more info*/ val result2 = df2.filter(col("email").endsWith(col("suffix")))

val df1 = Seq( ("Alice", "alice@example.com"), ("Bob", "bob@example.org"), ("David", "david@example.com") ).toDF("name", "email") val result1 = df1.filter(endswith(col("email"), lit(".com"))) val df2 = Seq( ("Alice", "alice@example.com", ".com"), ("Bob", "bob@example.org", ".org"), ("David", "david@example.org", ".com") ).toDF("name", "email", "suffix") val result2 = df2.filter(endswith(col("email"), col("suffix")))