docstr: collection: auto_id, customized_id
  collection schema: [pk, float_vector]
  Steps:
  1. create collection
  2. import data
  3. verify the data entities equal the import data
  4. load the collection
  5. verify search successfully
  6. verify query successfully
docstr_tok: ["collection",":","auto_id",",","customized_id","collection","schema",":","[","pk",",","float_vector","]","Steps",":","1.","create","collection","2.","import","data","3.","verify","the","data","entities","equal","the","import","data","4.","load","the","collection","5.","verify","search","successfully","6.","verify","query","successfully"]
code: def test_float_vector_only(
      self, is_row_based, auto_id, dim, entities
  ):
      """
      collection: auto_id, customized_id
      collection schema: [pk, float_vector]
      Steps:
      1. create collection
      2. import data
      3. verify the data entities equal the import data
      4. load the collection
      5. verify search successfully
      6. verify query successfully
      """
      files = prepare_bulk_insert_json_files(
          minio_endpoint=self.minio_endpoint,
          bucket_name=self.bucket_name,
          is_row_based=is_row_based,
          rows=entities,
          dim=dim,
          auto_id=auto_id,
          data_fields=default_vec_only_fields,
          force=True,
      )
      self._connect()
      c_name = cf.gen_unique_str("bulk_insert")
      fields = [
          cf.gen_int64_field(name=df.pk_field, is_primary=True),
          cf.gen_float_vec_field(name=df.vec_field, dim=dim),
      ]
      schema = cf.gen_collection_schema(fields=fields, auto_id=auto_id)
      self.collection_wrap.init_collection(c_name, schema=schema)
      # import data
      t0 = time.time()
      task_id, _ = self.utility_wrap.do_bulk_insert(
          collection_name=c_name,
          partition_name=None,
          files=files,
      )
      logging.info(f"bulk insert task id:{task_id}")
      (
          success,
          _,
      ) = self.utility_wrap.wait_for_bulk_insert_tasks_completed(
          task_ids=[task_id], timeout=300
      )
      tt = time.time() - t0
      log.info(f"bulk insert state:{success} in {tt}")
      assert success
  
      num_entities = self.collection_wrap.num_entities
      log.info(f" collection entities: {num_entities}")
      assert num_entities == entities
  
      # verify imported data is available for search
      index_params = ct.default_index
      self.collection_wrap.create_index(
          field_name=df.vec_field, index_params=index_params
      )
      time.sleep(2)
      self.utility_wrap.wait_for_index_building_complete(
          c_name, timeout=300
      )
      res, _ = self.utility_wrap.index_building_progress(c_name)
      log.info(f"index building progress: {res}")
      self.collection_wrap.load()
      self.collection_wrap.load(_refresh=True)
      log.info(f"wait for load finished and be ready for search")
      time.sleep(2)
      log.info(
          f"query seg info: {self.utility_wrap.get_query_segment_info(c_name)[0]}"
      )
      nq = 2
      topk = 2
      search_data = cf.gen_vectors(nq, dim)
      search_params = ct.default_search_params
      res, _ = self.collection_wrap.search(
          search_data,
          df.vec_field,
          param=search_params,
          limit=topk,
          check_task=CheckTasks.check_search_results,
          check_items={"nq": nq, "limit": topk},
      )
      for hits in res:
          ids = hits.ids
          results, _ = self.collection_wrap.query(
              expr=f"{df.pk_field} in {ids}"
          )
          assert len(results) == len(ids)
  
imports: import logging
  import time
  import pytest
  from pymilvus import DataType
  import numpy
  from pathlib import Path
  from base.client_base import TestcaseBase
  from common import common_func
  from common import common_type
  from common.milvus_sys import MilvusSys
  from common.common_type import CaseLabel, CheckTasks
  from utils.util_log import test_log
  from common.bulk_insert_data import prepare_bulk_insert_json_files, prepare_bulk_insert_new_json_files, prepare_bulk_insert_numpy_files, prepare_bulk_insert_parquet_files, prepare_bulk_insert_csv_files, DataField
label_desc: Use image node_id 1 for calling the TestBulkInsert obj's underlying member method code with example usage: obj.test_float_vector_only(is_row_based, auto_id, dim, entities) without return types