API calls for getting all versions of entities

java/src/main/java/com/logicalclocks/hsfs/FeatureStore.java

@@ -96,6 +96,20 @@ public FeatureGroup getFeatureGroup(String name) throws FeatureStoreException, I
     return getFeatureGroup(name, DEFAULT_VERSION);
   }
 
+  /**
+   * Get a list of all versions of a feature group from the feature store.
+   *
+   * @param name    the name of the feature group
+   * @return FeatureGroup
+   * @throws FeatureStoreException
+   * @throws IOException
+   */
+  public scala.collection.Seq<FeatureGroup> getFeatureGroups(@NonNull String name)
+      throws FeatureStoreException, IOException {
+    return JavaConverters.asScalaBufferConverter(featureGroupApi.getFeatureGroups(this, name))
+        .asScala().toSeq();
+  }
+
   /**
    * Get a on-demand feature group object from the feature store.
    *
@@ -124,6 +138,20 @@ public OnDemandFeatureGroup getOnDemandFeatureGroup(String name) throws FeatureS
     return getOnDemandFeatureGroup(name, DEFAULT_VERSION);
   }
 
+  /**
+   * Get a list of all versions of an on-demand feature group from the feature store.
+   *
+   * @param name    the name of the feature group
+   * @return OnDemandFeatureGroup
+   * @throws FeatureStoreException
+   * @throws IOException
+   */
+  public scala.collection.Seq<OnDemandFeatureGroup> getOnDemandFeatureGroups(@NonNull String name)
+      throws FeatureStoreException, IOException {
+    return JavaConverters.asScalaBufferConverter(featureGroupApi.getOnDemandFeatureGroups(this, name))
+        .asScala().toSeq();
+  }
+
   public Dataset<Row> sql(String query) {
     return SparkEngine.getInstance().sql(query);
   }
@@ -194,7 +222,7 @@ public Expectation.ExpectationBuilder createExpectation() {
    */
   public TrainingDataset getTrainingDataset(@NonNull String name, @NonNull Integer version)
       throws FeatureStoreException, IOException {
-    return trainingDatasetApi.get(this, name, version);
+    return trainingDatasetApi.getTrainingDataset(this, name, version);
   }
 
   /**
@@ -211,6 +239,19 @@ public TrainingDataset getTrainingDataset(String name) throws FeatureStoreExcept
     return getTrainingDataset(name, DEFAULT_VERSION);
   }
 
+  /**
+   * Get all versions of a training dataset object from the selected feature store.
+   *
+   * @param name    name of the training dataset
+   * @return TrainingDataset
+   * @throws FeatureStoreException
+   * @throws IOException
+   */
+  public scala.collection.Seq<TrainingDataset> getTrainingDatasets(@NonNull String name)
+      throws FeatureStoreException, IOException {
+    return JavaConverters.asScalaBufferConverter(trainingDatasetApi.get(this, name, null)).asScala().toSeq();
+  }
+
   public scala.collection.Seq<Expectation> createExpectations(scala.collection.Seq<Expectation> expectations)
       throws FeatureStoreException, IOException {
     List<Expectation> newExpectations = new ArrayList<>();

java/src/main/java/com/logicalclocks/hsfs/metadata/FeatureGroupApi.java

@@ -32,6 +32,7 @@
 import org.slf4j.LoggerFactory;
 
 import java.io.IOException;
+import java.util.Arrays;
 import java.util.List;
 
 import static com.logicalclocks.hsfs.metadata.HopsworksClient.PROJECT_PATH;
@@ -48,6 +49,14 @@ public class FeatureGroupApi {
 
   private static final Logger LOGGER = LoggerFactory.getLogger(FeatureGroupApi.class);
 
+  public List<FeatureGroup> getFeatureGroups(FeatureStore featureStore, String fgName)
+      throws FeatureStoreException, IOException {
+    FeatureGroup[] offlineFeatureGroups =
+        getInternal(featureStore, fgName, null, FeatureGroup[].class);
+
+    return Arrays.asList(offlineFeatureGroups);
+  }
+
   public FeatureGroup getFeatureGroup(FeatureStore featureStore, String fgName, Integer fgVersion)
       throws IOException, FeatureStoreException {
     FeatureGroup[] offlineFeatureGroups =
@@ -60,6 +69,14 @@ public FeatureGroup getFeatureGroup(FeatureStore featureStore, String fgName, In
     return resultFg;
   }
 
+  public List<OnDemandFeatureGroup> getOnDemandFeatureGroups(FeatureStore featureStore, String fgName)
+      throws FeatureStoreException, IOException {
+    OnDemandFeatureGroup[] offlineFeatureGroups =
+        getInternal(featureStore, fgName, null, OnDemandFeatureGroup[].class);
+
+    return Arrays.asList(offlineFeatureGroups);
+  }
+
   public OnDemandFeatureGroup getOnDemandFeatureGroup(FeatureStore featureStore, String fgName, Integer fgVersion)
       throws IOException, FeatureStoreException {
     OnDemandFeatureGroup[] offlineFeatureGroups =
@@ -79,15 +96,18 @@ private <T> T getInternal(FeatureStore featureStore, String fgName, Integer fgVe
         + FeatureStoreApi.FEATURE_STORE_PATH
         + FEATURE_GROUP_PATH;
 
-    String uri = UriTemplate.fromTemplate(pathTemplate)
+    UriTemplate uri = UriTemplate.fromTemplate(pathTemplate)
         .set("projectId", featureStore.getProjectId())
         .set("fsId", featureStore.getId())
-        .set("fgName", fgName)
-        .set("version", fgVersion)
-        .expand();
+        .set("fgName", fgName);
 
-    LOGGER.info("Sending metadata request: " + uri);
-    return hopsworksClient.handleRequest(new HttpGet(uri), fgType);
+    if (fgVersion != null) {
+      uri.set("version", fgVersion);
+    }
+    String uriString = uri.expand();
+
+    LOGGER.info("Sending metadata request: " + uriString);
+    return hopsworksClient.handleRequest(new HttpGet(uriString), fgType);
   }
 
   public OnDemandFeatureGroup save(OnDemandFeatureGroup onDemandFeatureGroup)

java/src/main/java/com/logicalclocks/hsfs/metadata/TrainingDatasetApi.java

@@ -32,6 +32,7 @@
 import org.slf4j.LoggerFactory;
 
 import java.io.IOException;
+import java.util.Arrays;
 import java.util.List;
 
 import static com.logicalclocks.hsfs.metadata.HopsworksClient.PROJECT_PATH;
@@ -49,31 +50,40 @@ public class TrainingDatasetApi {
 
   private static final Logger LOGGER = LoggerFactory.getLogger(TrainingDatasetApi.class);
 
-  public TrainingDataset get(FeatureStore featureStore, String tdName, Integer tdVersion)
+  public List<TrainingDataset> get(FeatureStore featureStore, String tdName, Integer tdVersion)
       throws IOException, FeatureStoreException {
     HopsworksClient hopsworksClient = HopsworksClient.getInstance();
     String pathTemplate = HopsworksClient.PROJECT_PATH
         + FeatureStoreApi.FEATURE_STORE_PATH
         + TRAINING_DATASET_PATH;
 
-    String uri = UriTemplate.fromTemplate(pathTemplate)
+    UriTemplate uri = UriTemplate.fromTemplate(pathTemplate)
         .set("projectId", featureStore.getProjectId())
         .set("fsId", featureStore.getId())
-        .set("tdName", tdName)
-        .set("version", tdVersion)
-        .expand();
-
-    LOGGER.info("Sending metadata request: " + uri);
-    TrainingDataset[] trainingDatasets = hopsworksClient.handleRequest(new HttpGet(uri), TrainingDataset[].class);
+        .set("tdName", tdName);
+
+    if (tdVersion != null) {
+      uri.set("version", tdVersion);
+    }
+    String uriString = uri.expand();
+
+    LOGGER.info("Sending metadata request: " + uriString);
+    TrainingDataset[] trainingDatasets = hopsworksClient.handleRequest(new HttpGet(uriString), TrainingDataset[].class);
+
+    for (TrainingDataset td : trainingDatasets) {
+      td.setFeatureStore(featureStore);
+      td.getFeatures().stream()
+          .filter(f -> f.getFeaturegroup() != null)
+          .forEach(f -> f.getFeaturegroup().setFeatureStore(featureStore));
+    }
+    return Arrays.asList(trainingDatasets);
+  }
 
+  public TrainingDataset getTrainingDataset(FeatureStore featureStore, String tdName, Integer tdVersion)
+      throws IOException, FeatureStoreException {
     // There can be only one single training dataset with a specific name and version in a feature store
     // There has to be one otherwise an exception would have been thrown.
-    TrainingDataset resultTd = trainingDatasets[0];
-    resultTd.setFeatureStore(featureStore);
-    resultTd.getFeatures().stream()
-        .filter(f -> f.getFeaturegroup() != null)
-        .forEach(f -> f.getFeaturegroup().setFeatureStore(featureStore));
-    return resultTd;
+    return get(featureStore, tdName, tdVersion).get(0);
   }
 
   public TrainingDataset createTrainingDataset(TrainingDataset trainingDataset)

python/hsfs/core/feature_group_api.py

@@ -74,13 +74,18 @@ def get(self, name, version, fg_type):
             "featuregroups",
             name,
         ]
-        query_params = {"version": version}
-        fg_json = _client._send_request("GET", path_params, query_params)[0]
+        query_params = None if version is None else {"version": version}
+        json_list = _client._send_request("GET", path_params, query_params)
 
         if fg_type == self.CACHED:
-            return feature_group.FeatureGroup.from_response_json(fg_json)
+            fg_list = feature_group.FeatureGroup.from_response_json(json_list)
         else:
-            return feature_group.OnDemandFeatureGroup.from_response_json(fg_json)
+            fg_list = feature_group.OnDemandFeatureGroup.from_response_json(json_list)
+
+        if version is not None:
+            return fg_list[0]
+        else:
+            return fg_list
 
     def delete_content(self, feature_group_instance):
         """Delete the content of a feature group.

python/hsfs/core/training_dataset_api.py

@@ -52,10 +52,14 @@ def get(self, name, version):
             "trainingdatasets",
             name,
         ]
-        query_params = {"version": version}
-        return training_dataset.TrainingDataset.from_response_json(
-            _client._send_request("GET", path_params, query_params)[0],
+        query_params = None if version is None else {"version": version}
+        td_list = training_dataset.TrainingDataset.from_response_json(
+            _client._send_request("GET", path_params, query_params),
         )
+        if version is not None:
+            return td_list[0]
+        else:
+            return td_list
 
     def get_query(self, training_dataset_instance, with_label):
         _client = client.get_instance()

python/hsfs/feature_group.py

@@ -1049,8 +1049,9 @@ def compute_statistics(self, wallclock_time: Optional[str] = None):
     @classmethod
     def from_response_json(cls, json_dict):
         json_decamelized = humps.decamelize(json_dict)
-        _ = json_decamelized.pop("type", None)
-        return cls(**json_decamelized)
+        for fg in json_decamelized:
+            _ = fg.pop("type", None)
+        return [cls(**fg) for fg in json_decamelized]
 
     def update_from_response_json(self, json_dict):
         json_decamelized = humps.decamelize(json_dict)
@@ -1361,9 +1362,10 @@ def validate(self):  # noqa: F821
     @classmethod
     def from_response_json(cls, json_dict):
         json_decamelized = humps.decamelize(json_dict)
-        _ = json_decamelized.pop("online_topic_name", None)
-        _ = json_decamelized.pop("type", None)
-        return cls(**json_decamelized)
+        for fg in json_decamelized:
+            _ = fg.pop("online_topic_name", None)
+            _ = fg.pop("type", None)
+        return [cls(**fg) for fg in json_decamelized]
 
     def update_from_response_json(self, json_dict):
         json_decamelized = humps.decamelize(json_dict)

python/hsfs/feature_store.py

@@ -132,6 +132,27 @@ def get_feature_group(self, name: str, version: int = None):
             name, version, feature_group_api.FeatureGroupApi.CACHED
         )
 
+    def get_feature_groups(self, name: str):
+        """Get a list of all versions of a feature group entity from the feature store.
+
+        Getting a feature group from the Feature Store means getting its metadata handle
+        so you can subsequently read the data into a Spark or Pandas DataFrame or use
+        the `Query`-API to perform joins between feature groups.
+
+        # Arguments
+            name: Name of the feature group to get.
+
+        # Returns
+            `FeatureGroup`: List of feature group metadata objects.
+
+        # Raises
+            `RestAPIError`: If unable to retrieve feature group from the feature store.
+
+        """
+        return self._feature_group_api.get(
+            name, None, feature_group_api.FeatureGroupApi.CACHED
+        )
+
     def get_on_demand_feature_group(self, name: str, version: int = None):
         """Get a on-demand feature group entity from the feature store.
 
@@ -164,6 +185,26 @@ def get_on_demand_feature_group(self, name: str, version: int = None):
             name, version, feature_group_api.FeatureGroupApi.ONDEMAND
         )
 
+    def get_on_demand_feature_groups(self, name: str):
+        """Get a list of all versions of an on-demand feature group entity from the feature store.
+
+        Getting a on-demand feature group from the Feature Store means getting its
+        metadata handle so you can subsequently read the data into a Spark or
+        Pandas DataFrame or use the `Query`-API to perform joins between feature groups.
+
+        # Arguments
+            name: Name of the on-demand feature group to get.
+
+        # Returns
+            `OnDemandFeatureGroup`: List of on-demand feature group metadata objects.
+
+        # Raises
+            `RestAPIError`: If unable to retrieve feature group from the feature store.
+        """
+        return self._feature_group_api.get(
+            name, None, feature_group_api.FeatureGroupApi.ONDEMAND
+        )
+
     def get_training_dataset(self, name: str, version: int = None):
         """Get a training dataset entity from the feature store.
 
@@ -192,6 +233,23 @@ def get_training_dataset(self, name: str, version: int = None):
             version = self.DEFAULT_VERSION
         return self._training_dataset_api.get(name, version)
 
+    def get_training_datasets(self, name: str):
+        """Get a list of all versions of a training dataset entity from the feature store.
+
+        Getting a training dataset from the Feature Store means getting its metadata handle
+        so you can subsequently read the data into a Spark or Pandas DataFrame.
+
+        # Arguments
+            name: Name of the training dataset to get.
+
+        # Returns
+            `TrainingDataset`: List of training dataset metadata objects.
+
+        # Raises
+            `RestAPIError`: If unable to retrieve feature group from the feature store.
+        """
+        return self._training_dataset_api.get(name, None)
+
     def get_storage_connector(self, name: str):
         """Get a previously created storage connector from the feature store.
 

python/hsfs/training_dataset.py

@@ -401,8 +401,9 @@ def delete(self):
     @classmethod
     def from_response_json(cls, json_dict):
         json_decamelized = humps.decamelize(json_dict)
-        _ = json_decamelized.pop("type")
-        return cls(**json_decamelized)
+        for td in json_decamelized:
+            _ = td.pop("type")
+        return [cls(**td) for td in json_decamelized]
 
     def update_from_response_json(self, json_dict):
         json_decamelized = humps.decamelize(json_dict)