fix up copyright to get away from RAT build errors

nb-adapters/adapter-weaviate/src/main/java/io/nosqlbench/adapter/weaviate/opsdispensers/WeaviateBaseOpDispenser.java

@@ -1,3 +1,20 @@
+/*
+ * Copyright (c) 2020-2024 nosqlbench
+ * 
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * 
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ * 
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
 package io.nosqlbench.adapter.weaviate.opsdispensers;
 
 import java.util.function.LongFunction;

nb-adapters/adapter-weaviate/src/main/resources/activities/weaviate_vector_live.yaml

@@ -51,6 +51,7 @@ params:
 
 bindings:
   id_val: Identity();
+  id_val_uuid: ToHashedUUID() -> java.util.UUID
   row_key: ToString()
   row_key_batch: Mul(TEMPLATE(batch_size)L); ListSizedStepped(TEMPLATE(batch_size),long->ToString());
   # filetype=hdf5 for TEMPLATE(filetype,hdf5)
@@ -167,22 +168,14 @@ blocks:
     ops:
       create_objects_op:
         create_objects: "TEMPLATE(collection)"
-        wait: TEMPLATE(upsert_point_wait,true)
+        objects:
-        # https://github.com/weaviate/weaviate/blob/v1.9.0/lib/api/src/grpc/proto/points.proto#L11-L15
+          - id: "{id_val_uuid}"
-        # 0 - Weak, 1 - Medium, 2 - Strong
+            #properties:
-        ordering: TEMPLATE(upsert_point_ordering,1)
+            #  key: "{row_key}"
-        #shard_key: "{row_key}"
+            vectors:
-        points:
+              # Only named vectors are supported at this time
-          - id: "{id_val}"
-            payload:
-              key: "{row_key}"
-            vector:
-              # For dense vectors, use the below format
               value: "{train_floatlist_TEMPLATE(filetype)}"
-              # For sparse vectors, use the below format
+            #tenant: ""
-              #value_sv:
-              #  indices: your array of numbers
-              #  values: your array of floats
 
   search_points:
     ops: