[HIVEMALL-312] Changed default constructor accessor to public for Spark
## What changes were proposed in this pull request?
Changed default constructor accessor to public for Spark
```
Exception in thread "main" org.apache.spark.sql.AnalysisException: No handler for UDF/UDAF/UDTF 'hivemall.factorization.fm.FMPredictGenericUDAF': java.lang.IllegalAccessException: Class org.apache.spark.sql.hive.HiveShim$HiveFunctionWrapper can not access a member of class hivemall.factorization.fm.FMPredictGenericUDAF with modifiers "private"; line 6 pos 0Exception in thread "main" org.apache.spark.sql.AnalysisException: No handler for UDF/UDAF/UDTF 'hivemall.factorization.fm.FMPredictGenericUDAF': java.lang.IllegalAccessException: Class org.apache.spark.sql.hive.HiveShim$HiveFunctionWrapper can not access a member of class hivemall.factorization.fm.FMPredictGenericUDAF with modifiers "private"; line 6 pos 0 at sun.reflect.Reflection.ensureMemberAccess(Reflection.java:102) at java.lang.Class.newInstance(Class.java:436) at org.apache.spark.sql.hive.HiveShim$HiveFunctionWrapper.createFunction(HiveShim.scala:220) at org.apache.spark.sql.hive.HiveUDAFFunction.newEvaluator(hiveUDFs.scala:343) at org.apache.spark.sql.hive.HiveUDAFFunction.org$apache$spark$sql$hive$HiveUDAFFunction$$finalHiveEvaluator$lzycompute(hiveUDFs.scala:366) at org.apache.spark.sql.hive.HiveUDAFFunction.org$apache$spark$sql$hive$HiveUDAFFunction$$finalHiveEvaluator(hiveUDFs.scala:365) at org.apache.spark.sql.hive.HiveUDAFFunction.dataType$lzycompute(hiveUDFs.scala:394) at org.apache.spark.sql.hive.HiveUDAFFunction.dataType(hiveUDFs.scala:394) at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionExpression$1$$anonfun$apply$2.apply(HiveSessionCatalog.scala:85) at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionExpression$1$$anonfun$apply$2.apply(HiveSessionCatalog.scala:71) at scala.util.Try.getOrElse(Try.scala:79) at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionExpression$1.apply(HiveSessionCatalog.scala:71) at org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionExpression$1.apply(HiveSessionCatalog.scala:71) at
```
## What type of PR is it?
Bug Fix, Hot fix
## What is the Jira issue?
https://issues.apache.org/jira/browse/HIVEMALL-312
## How was this patch tested?
unit tests
Author: Makoto Yui <myui@apache.org>
Closes #242 from myui/HIVEMALL-312.
diff --git a/core/src/main/java/hivemall/factorization/fm/FFMPredictGenericUDAF.java b/core/src/main/java/hivemall/factorization/fm/FFMPredictGenericUDAF.java
index b1c99c1..e0acc7f 100644
--- a/core/src/main/java/hivemall/factorization/fm/FFMPredictGenericUDAF.java
+++ b/core/src/main/java/hivemall/factorization/fm/FFMPredictGenericUDAF.java
@@ -49,7 +49,9 @@
+ " - Returns a prediction value in Double")
public final class FFMPredictGenericUDAF extends AbstractGenericUDAFResolver {
- private FFMPredictGenericUDAF() {}
+ public FFMPredictGenericUDAF() {
+ super();
+ }
@Override
public Evaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) throws SemanticException {
diff --git a/core/src/main/java/hivemall/factorization/fm/FMPredictGenericUDAF.java b/core/src/main/java/hivemall/factorization/fm/FMPredictGenericUDAF.java
index fd49eec..4f81f41 100644
--- a/core/src/main/java/hivemall/factorization/fm/FMPredictGenericUDAF.java
+++ b/core/src/main/java/hivemall/factorization/fm/FMPredictGenericUDAF.java
@@ -60,7 +60,9 @@
value = "_FUNC_(Float Wj, array<float> Vjf, float Xj) - Returns a prediction value in Double")
public final class FMPredictGenericUDAF extends AbstractGenericUDAFResolver {
- private FMPredictGenericUDAF() {}
+ public FMPredictGenericUDAF() {
+ super();
+ }
@Override
public Evaluator getEvaluator(TypeInfo[] typeInfo) throws SemanticException {
