foreach()
function in Spark is used to apply a function to each row of a DataFrame or Dataset. It is an action that triggers the execution of the function on each element of the distributed dataset. Unlike transformations (e.g., map()
, filter()
), foreach()
does not return a new DataFrame or Dataset but is used for side effects, such as writing data to an external system or printing rows.
foreach()
in DataFrame/Dataset APIs.foreach()
is an action, meaning it triggers the execution of the Spark job.foreach()
with a User-Defined Functionoutput.txt
.foreach()
with Accumulatorsforeach()
triggers the execution of the entire DataFrame lineage, so use it carefully for large datasets.foreach()
is used for side effects, ensure the function does not introduce unintended behavior (e.g., modifying shared state).foreach()
function is used to apply a function to each row of a DataFrame or Dataset for side effects.foreach()
is an action, it triggers the execution of the entire DataFrame lineage. Use it judiciously for large datasets.foreach()
in DataFrame/Dataset APIs.