Difference between == and === in Scala, Spark
Generally speaking, they are just functions.
For different types, "==" and "===" might be defined or "overloaded" for different meanings.
For example, in some test framework, "===" is defined for some special function. See this.
The "==
" is using the equals
methods which checks if the two references point to the same object. The definition of "===
" depends on the context/object. For Spark , "===
" is using the equalTo
method.
See
- for
==
https://spark.apache.org/docs/2.0.0/api/java/org/apache/spark/sql/Column.html#equals(java.lang.Object) - for
===
https://spark.apache.org/docs/2.0.0/api/java/org/apache/spark/sql/Column.html#equalTo(java.lang.Object)
(Since you are referencing Spark:) An important difference for Spark is the return value. For Column:
==
returns a boolean===
returns a column (which contains the result of the comparisons of the elements of two columns)