cloud-fan commented on a change in pull request #32407:
URL: https://github.com/apache/spark/pull/32407#discussion_r624635432
##########
File path:
sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/functions/ScalarFunction.java
##########
@@ -23,39 +23,76 @@
/**
* Interface for a function that produces a result value for each input row.
* <p>
- * To evaluate each input row, Spark will first try to lookup and use a "magic
method" (described
- * below) through Java reflection. If the method is not found, Spark will call
- * {@link #produceResult(InternalRow)} as a fallback approach.
+ * To evaluate each input row, Spark will first try to lookup and use either a
static or
+ * non-static "magic method" (described below) through Java reflection. If
neither of the
+ * magic methods is not found, Spark will call {@link
#produceResult(InternalRow)} as a fallback
+ * approach. In other words, the precedence is as follow:
+ * <ul>
+ * <li>static magic method</li>
+ * <li>non-static magic method</li>
+ * <li>{@link #produceResult(InternalRow)}</li>
+ * </ul>
* <p>
* The JVM type of result values produced by this function must be the type
used by Spark's
* InternalRow API for the {@link DataType SQL data type} returned by {@link
#resultType()}.
+ * The mapping between {@link DataType} and the corresponding JVM type is
defined below.
* <p>
* <b>IMPORTANT</b>: the default implementation of {@link #produceResult}
throws
* {@link UnsupportedOperationException}. Users can choose to override this
method, or implement
- * a "magic method" with name {@link #MAGIC_METHOD_NAME} which takes
individual parameters
- * instead of a {@link InternalRow}. The magic method will be loaded by Spark
through Java
- * reflection and will also provide better performance in general, due to
optimizations such as
- * codegen, removal of Java boxing, etc.
- *
- * For example, a scalar UDF for adding two integers can be defined as follow
with the magic
+ * a static magic method with name {@link #STATIC_MAGIC_METHOD_NAME}, or
non-static magic
Review comment:
SGTM, let's fix https://issues.apache.org/jira/browse/SPARK-35281 first
and see how much speedup the new static UDF API can provide.
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