Fix Online Serving unable to retrieve feature data after Feature Set update.

ingestion/src/test/java/feast/ingestion/ImportJobTest.java

@@ -217,7 +217,9 @@ public void runPipeline_ShouldWriteToRedisCorrectlyGivenValidSpecAndFeatureRow()
                                   .map(FeatureSpec::getName)
                                   .collect(Collectors.toList())
                                   .contains(field.getName()))
-                      .map(field -> field.toBuilder().clearName().build())
+                      .map(
+                          field ->
+                              field.toBuilder().setName(TestUtil.hash(field.getName())).build())
                       .collect(Collectors.toList());
               randomRow =
                   randomRow

ingestion/src/test/java/feast/test/TestUtil.java

@@ -19,6 +19,7 @@
 import static feast.common.models.FeatureSet.getFeatureSetStringRef;
 
 import com.google.common.collect.ImmutableList;
+import com.google.common.hash.Hashing;
 import com.google.common.io.Files;
 import com.google.protobuf.ByteString;
 import com.google.protobuf.Message;
@@ -517,4 +518,8 @@ public static void waitUntilAllElementsAreWrittenToStore(
       }
     }
   }
+
+  public static String hash(String input) {
+    return Hashing.murmur3_32().hashString(input, StandardCharsets.UTF_8).toString();
+  }
 }

storage/api/src/main/java/feast/storage/common/testing/TestUtil.java

@@ -16,6 +16,7 @@
  */
 package feast.storage.common.testing;
 
+import com.google.common.hash.Hashing;
 import com.google.protobuf.ByteString;
 import com.google.protobuf.Timestamp;
 import feast.proto.core.FeatureSetProto.FeatureSet;
@@ -24,6 +25,7 @@
 import feast.proto.types.FeatureRowProto.FeatureRow.Builder;
 import feast.proto.types.FieldProto.Field;
 import feast.proto.types.ValueProto.*;
+import java.nio.charset.StandardCharsets;
 import java.time.Instant;
 import java.util.concurrent.ThreadLocalRandom;
 import org.apache.commons.lang3.RandomStringUtils;
@@ -191,4 +193,8 @@ public static Field field(String name, Object value, ValueType.Enum valueType) {
         throw new IllegalStateException("Unexpected valueType: " + value.getClass());
     }
   }
+
+  public static String hash(String input) {
+    return Hashing.murmur3_32().hashString(input, StandardCharsets.UTF_8).toString();
+  }
 }

storage/connectors/redis/src/main/java/feast/storage/connectors/redis/retriever/FeatureRowDecoder.java

@@ -16,12 +16,17 @@
  */
 package feast.storage.connectors.redis.retriever;
 
+import com.google.common.hash.Hashing;
 import feast.proto.core.FeatureSetProto.FeatureSetSpec;
 import feast.proto.core.FeatureSetProto.FeatureSpec;
 import feast.proto.types.FeatureRowProto.FeatureRow;
 import feast.proto.types.FieldProto.Field;
+import feast.proto.types.ValueProto.Value;
+import feast.storage.connectors.redis.writer.RedisCustomIO;
+import java.nio.charset.StandardCharsets;
 import java.util.Comparator;
 import java.util.List;
+import java.util.Map;
 import java.util.stream.Collectors;
 import java.util.stream.IntStream;
 
@@ -36,60 +41,102 @@ public FeatureRowDecoder(String featureSetRef, FeatureSetSpec spec) {
   }
 
   /**
-   * A feature row is considered encoded if the feature set and field names are not set. This method
-   * is required for backward compatibility purposes, to allow Feast serving to continue serving non
-   * encoded Feature Row ingested by an older version of Feast.
+   * Check if encoded feature row can be decoded by v1 Decoder. The v1 Decoder requires that the
+   * Feature Row to have both it's feature set reference and fields names are not set. The no. of
+   * fields in the feature row should also match up with the number of fields in the Feature Set
+   * spec. NOTE: This method is deprecated and will be removed in Feast v0.7.
    *
    * @param featureRow Feature row
    * @return boolean
    */
-  public boolean isEncoded(FeatureRow featureRow) {
+  @Deprecated
+  private boolean isEncodedV1(FeatureRow featureRow) {
     return featureRow.getFeatureSet().isEmpty()
-        && featureRow.getFieldsList().stream().allMatch(field -> field.getName().isEmpty());
+        && featureRow.getFieldsList().stream().allMatch(field -> field.getName().isEmpty())
+        && featureRow.getFieldsList().size() == spec.getFeaturesList().size();
   }
 
   /**
-   * Validates if an encoded feature row can be decoded without exception.
+   * Check if encoded feature row can be decoded by Decoder. The v2 Decoder requires that a Feature
+   * Row to have both it feature set reference and fields names are set.
    *
    * @param featureRow Feature row
    * @return boolean
    */
-  public boolean isEncodingValid(FeatureRow featureRow) {
-    return featureRow.getFieldsList().size() == spec.getFeaturesList().size();
+  private boolean isEncodedV2(FeatureRow featureRow) {
+    return !featureRow.getFieldsList().stream().anyMatch(field -> field.getName().isEmpty());
   }
 
   /**
-   * Decoding feature row by repopulating the field names based on the corresponding feature set
-   * spec.
+   * Decode feature row encoded by {@link RedisCustomIO}. NOTE: The v1 Decoder will be removed in
+   * Feast 0.7
    *
+   * @throws IllegalArgumentException if unable to the decode the given feature row
    * @param encodedFeatureRow Feature row
    * @return boolean
    */
   public FeatureRow decode(FeatureRow encodedFeatureRow) {
-    final List<Field> fieldsWithoutName = encodedFeatureRow.getFieldsList();
+    if (isEncodedV1(encodedFeatureRow)) {
+      // TODO: remove v1 feature row decoder in Feast 0.7
+      // Decode Feature Rows using the v1 Decoder.
+      final List<Field> fieldsWithoutName = encodedFeatureRow.getFieldsList();
+      List<String> featureNames =
+          spec.getFeaturesList().stream()
+              .sorted(Comparator.comparing(FeatureSpec::getName))
+              .map(FeatureSpec::getName)
+              .collect(Collectors.toList());
 
-    List<String> featureNames =
-        spec.getFeaturesList().stream()
-            .sorted(Comparator.comparing(FeatureSpec::getName))
-            .map(FeatureSpec::getName)
-            .collect(Collectors.toList());
-    List<Field> fields =
-        IntStream.range(0, featureNames.size())
-            .mapToObj(
-                featureNameIndex -> {
-                  String featureName = featureNames.get(featureNameIndex);
-                  return fieldsWithoutName
-                      .get(featureNameIndex)
-                      .toBuilder()
-                      .setName(featureName)
-                      .build();
-                })
-            .collect(Collectors.toList());
-    return encodedFeatureRow
-        .toBuilder()
-        .clearFields()
-        .setFeatureSet(featureSetRef)
-        .addAllFields(fields)
-        .build();
+      List<Field> fields =
+          IntStream.range(0, featureNames.size())
+              .mapToObj(
+                  featureNameIndex -> {
+                    String featureName = featureNames.get(featureNameIndex);
+                    return fieldsWithoutName
+                        .get(featureNameIndex)
+                        .toBuilder()
+                        .setName(featureName)
+                        .build();
+                  })
+              .collect(Collectors.toList());
+
+      return encodedFeatureRow
+          .toBuilder()
+          .clearFields()
+          .setFeatureSet(featureSetRef)
+          .addAllFields(fields)
+          .build();
+    }
+    if (isEncodedV2(encodedFeatureRow)) {
+      // Decode Feature Rows using the v2 Decoder.
+      // v2 Decoder input Feature Rows should use a hashed name as the field name and
+      // should not have feature set reference set.
+      // Decoding reverts the field name to a unhashed string and set feature set reference.
+      Map<String, Value> nameHashValueMap =
+          encodedFeatureRow.getFieldsList().stream()
+              .collect(Collectors.toMap(field -> field.getName(), field -> field.getValue()));
+
+      List<String> featureNames =
+          spec.getFeaturesList().stream().map(FeatureSpec::getName).collect(Collectors.toList());
+
+      List<Field> fields =
+          featureNames.stream()
+              .map(
+                  name -> {
+                    String nameHash =
+                        Hashing.murmur3_32().hashString(name, StandardCharsets.UTF_8).toString();
+                    Value value =
+                        nameHashValueMap.getOrDefault(nameHash, Value.newBuilder().build());
+                    return Field.newBuilder().setName(name).setValue(value).build();
+                  })
+              .collect(Collectors.toList());
+
+      return encodedFeatureRow
+          .toBuilder()
+          .clearFields()
+          .setFeatureSet(featureSetRef)
+          .addAllFields(fields)
+          .build();
+    }
+    throw new IllegalArgumentException("Failed to decode FeatureRow row: Possible data corruption");
   }
 }

storage/connectors/redis/src/main/java/feast/storage/connectors/redis/retriever/RedisClusterOnlineRetriever.java

@@ -158,17 +158,11 @@ private List<Optional<FeatureRow>> getFeaturesFromRedis(
 
       // decode feature rows from data bytes using decoder.
       FeatureRow featureRow = FeatureRow.parseFrom(featureRowBytes);
-      if (decoder.isEncoded(featureRow)) {
-        if (decoder.isEncodingValid(featureRow)) {
-          featureRow = decoder.decode(featureRow);
-        } else {
-          // decoding feature row failed: data corruption could have occurred
-          throw Status.DATA_LOSS
-              .withDescription(
-                  "Failed to decode FeatureRow from bytes retrieved from redis"
-                      + ": Possible data corruption")
-              .asRuntimeException();
-        }
+      try {
+        featureRow = decoder.decode(featureRow);
+      } catch (IllegalArgumentException e) {
+        // decoding feature row failed: data corruption could have occurred
+        throw Status.DATA_LOSS.withCause(e).withDescription(e.getMessage()).asRuntimeException();
       }
       featureRows.add(Optional.of(featureRow));
     }

storage/connectors/redis/src/main/java/feast/storage/connectors/redis/retriever/RedisOnlineRetriever.java

@@ -151,15 +151,11 @@ private List<Optional<FeatureRow>> getFeaturesFromRedis(
 
       // decode feature rows from data bytes using decoder.
       FeatureRow featureRow = FeatureRow.parseFrom(featureRowBytes);
-      if (decoder.isEncoded(featureRow) && decoder.isEncodingValid(featureRow)) {
+      try {
         featureRow = decoder.decode(featureRow);
-      } else {
+      } catch (IllegalArgumentException e) {
         // decoding feature row failed: data corruption could have occurred
-        throw Status.DATA_LOSS
-            .withDescription(
-                "Failed to decode FeatureRow from bytes retrieved from redis"
-                    + ": Possible data corruption")
-            .asRuntimeException();
+        throw Status.DATA_LOSS.withCause(e).withDescription(e.getMessage()).asRuntimeException();
       }
       featureRows.add(Optional.of(featureRow));
     }

storage/connectors/redis/src/main/java/feast/storage/connectors/redis/writer/RedisCustomIO.java

@@ -18,6 +18,7 @@
 
 import com.google.common.collect.Iterators;
 import com.google.common.collect.Lists;
+import com.google.common.hash.Hashing;
 import feast.proto.core.FeatureSetProto.EntitySpec;
 import feast.proto.core.FeatureSetProto.FeatureSetSpec;
 import feast.proto.core.FeatureSetProto.FeatureSpec;
@@ -29,7 +30,9 @@
 import feast.storage.api.writer.FailedElement;
 import feast.storage.api.writer.WriteResult;
 import feast.storage.common.retry.Retriable;
+import feast.storage.connectors.redis.retriever.FeatureRowDecoder;
 import io.lettuce.core.RedisException;
+import java.nio.charset.StandardCharsets;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -203,28 +206,45 @@ private byte[] getKey(FeatureRow featureRow, FeatureSetSpec spec) {
         return redisKeyBuilder.build().toByteArray();
       }
 
+      /**
+       * Encode the Feature Row as bytes to store in Redis in encoded Feature Row encoding. To
+       * reduce storage space consumption in redis, feature rows are "encoded" by hashing the fields
+       * names and not unsetting the feature set reference. {@link FeatureRowDecoder} is
+       * rensponsible for reversing this "encoding" step.
+       */
       private byte[] getValue(FeatureRow featureRow, FeatureSetSpec spec) {
         List<String> featureNames =
             spec.getFeaturesList().stream().map(FeatureSpec::getName).collect(Collectors.toList());
-        Map<String, Field> fieldValueOnlyMap =
+
+        Map<String, Field.Builder> fieldValueOnlyMap =
             featureRow.getFieldsList().stream()
                 .filter(field -> featureNames.contains(field.getName()))
                 .distinct()
                 .collect(
                     Collectors.toMap(
-                        Field::getName,
-                        field -> Field.newBuilder().setValue(field.getValue()).build()));
+                        Field::getName, field -> Field.newBuilder().setValue(field.getValue())));
 
         List<Field> values =
             featureNames.stream()
                 .sorted()
                 .map(
-                    featureName ->
-                        fieldValueOnlyMap.getOrDefault(
-                            featureName,
-                            Field.newBuilder()
-                                .setValue(ValueProto.Value.getDefaultInstance())
-                                .build()))
+                    featureName -> {
+                      Field.Builder field =
+                          fieldValueOnlyMap.getOrDefault(
+                              featureName,
+                              Field.newBuilder().setValue(ValueProto.Value.getDefaultInstance()));
+
+                      // Encode the name of the as the hash of the field name.
+                      // Use hash of name instead of the name of to reduce redis storage consumption
+                      // per feature row stored.
+                      String nameHash =
+                          Hashing.murmur3_32()
+                              .hashString(featureName, StandardCharsets.UTF_8)
+                              .toString();
+                      field.setName(nameHash);
+
+                      return field.build();
+                    })
                 .collect(Collectors.toList());
 
         return FeatureRow.newBuilder()