ci: Fix java feature server Dockerfile to use updated builder (feast-dev#3152)

Signed-off-by: Achal Shah <[email protected]>

Signed-off-by: Achal Shah <[email protected]>

Author: achals

go/embedded/online_features.go

@@ -378,12 +378,12 @@ func (s *OnlineFeatureService) StopGrpcServer() {
 }
 
 /*
-	Read Record Batch from memory managed by Python caller.
-	Python part uses C ABI interface to export this record into C Data Interface,
-	and then it provides pointers (dataPtr & schemaPtr) to the Go part.
-	Here we import this data from given pointers and wrap the underlying values
-	into Go Arrow Interface (array.Record).
-	See export code here https://github.com/feast-dev/feast/blob/master/sdk/python/feast/embedded_go/online_features_service.py
+Read Record Batch from memory managed by Python caller.
+Python part uses C ABI interface to export this record into C Data Interface,
+and then it provides pointers (dataPtr & schemaPtr) to the Go part.
+Here we import this data from given pointers and wrap the underlying values
+into Go Arrow Interface (array.Record).
+See export code here https://github.com/feast-dev/feast/blob/master/sdk/python/feast/embedded_go/online_features_service.py
 */
 func readArrowRecord(data DataTable) (arrow.Record, error) {
 	return cdata.ImportCRecordBatch(

go/internal/feast/onlineserving/serving.go

@@ -21,11 +21,11 @@ import (
 )
 
 /*
-	FeatureVector type represent result of retrieving single feature for multiple rows.
-	It can be imagined as a column in output dataframe / table.
-	It contains of feature name, list of values (across all rows),
-	list of statuses and list of timestamp. All these lists have equal length.
-	And this length is also equal to number of entity rows received in request.
+FeatureVector type represent result of retrieving single feature for multiple rows.
+It can be imagined as a column in output dataframe / table.
+It contains of feature name, list of values (across all rows),
+list of statuses and list of timestamp. All these lists have equal length.
+And this length is also equal to number of entity rows received in request.
 */
 type FeatureVector struct {
 	Name       string
@@ -40,11 +40,11 @@ type FeatureViewAndRefs struct {
 }
 
 /*
-	We group all features from a single request by entities they attached to.
-	Thus, we will be able to call online retrieval per entity and not per each feature View.
-	In this struct we collect all features and views that belongs to a group.
-	We also store here projected entity keys (only ones that needed to retrieve these features)
-	and indexes to map result of retrieval into output response.
+We group all features from a single request by entities they attached to.
+Thus, we will be able to call online retrieval per entity and not per each feature View.
+In this struct we collect all features and views that belongs to a group.
+We also store here projected entity keys (only ones that needed to retrieve these features)
+and indexes to map result of retrieval into output response.
 */
 type GroupedFeaturesPerEntitySet struct {
 	// A list of requested feature references of the form featureViewName:featureName that share this entity set
@@ -59,11 +59,12 @@ type GroupedFeaturesPerEntitySet struct {
 }
 
 /*
-	Return
-		(1) requested feature views and features grouped per View
-		(2) requested on demand feature views
-	existed in the registry
+Return
 
+	(1) requested feature views and features grouped per View
+	(2) requested on demand feature views
+
+existed in the registry
 */
 func GetFeatureViewsToUseByService(
 	featureService *model.FeatureService,
@@ -124,10 +125,12 @@ func GetFeatureViewsToUseByService(
 }
 
 /*
-	Return
-		(1) requested feature views and features grouped per View
-		(2) requested on demand feature views
-	existed in the registry
+Return
+
+	(1) requested feature views and features grouped per View
+	(2) requested on demand feature views
+
+existed in the registry
 */
 func GetFeatureViewsToUseByFeatureRefs(
 	features []string,

go/internal/feast/transformation/transformation.go

@@ -20,10 +20,10 @@ import (
 )
 
 /*
-	TransformationCallback is a Python callback function's expected signature.
-	The function should accept name of the on demand feature view and pointers to input & output record batches.
-	Each record batch is being passed as two pointers: pointer to array (data) and pointer to schema.
-	Python function is expected to return number of rows added to the output record batch.
+TransformationCallback is a Python callback function's expected signature.
+The function should accept name of the on demand feature view and pointers to input & output record batches.
+Each record batch is being passed as two pointers: pointer to array (data) and pointer to schema.
+Python function is expected to return number of rows added to the output record batch.
 */
 type TransformationCallback func(ODFVName string, inputArrPtr, inputSchemaPtr, outArrPtr, outSchemaPtr uintptr, fullFeatureNames bool) int
 

java/infra/docker/feature-server/Dockerfile

@@ -2,7 +2,7 @@
 # Build stage 1: Builder
 # ============================================================
 
-FROM maven:3.6-jdk-11 as builder
+FROM maven:3-jdk-11 as builder
 
 WORKDIR /build