code: def test_jvm_record_batch(
      root_allocator, pa_type, py_data, jvm_type, jvm_spec
  ):
      # Create vector
      cls = "org.apache.arrow.vector.{}".format(jvm_type)
      jvm_vector = jpype.JClass(cls)("vector", root_allocator)
      jvm_vector.allocateNew(len(py_data))
      for i, val in enumerate(py_data):
          if jvm_type in {"UInt1Vector", "UInt2Vector"}:
              val = jpype.JInt(val)
          jvm_vector.setSafe(i, val)
      jvm_vector.setValueCount(len(py_data))
  
      # Create field
      spec = {
          "name": "field_name",
          "nullable": False,
          "type": json.loads(jvm_spec),
          # TODO: This needs to be set for complex types
          "children": [],
      }
      jvm_field = _jvm_field(json.dumps(spec))
  
      # Create VectorSchemaRoot
      jvm_fields = jpype.JClass("java.util.ArrayList")()
      jvm_fields.add(jvm_field)
      jvm_vectors = jpype.JClass("java.util.ArrayList")()
      jvm_vectors.add(jvm_vector)
      jvm_vsr = jpype.JClass("org.apache.arrow.vector.VectorSchemaRoot")
      jvm_vsr = jvm_vsr(jvm_fields, jvm_vectors, len(py_data))
  
      py_record_batch = pa.RecordBatch.from_arrays(
          [pa.array(py_data, type=pa_type)], ["col"]
      )
      jvm_record_batch = pa_jvm.record_batch(jvm_vsr)
  
      assert py_record_batch.equals(jvm_record_batch)
  
file_path: arrow/python/pyarrow/tests/test_jvm.py
imports: import json
  import os
  import pyarrow
  import pyarrow.jvm
  import pytest
  import sys
  import xml.etree.ElementTree
label_desc: Use image node_id 9 for calling a global function with example usage: test_jvm_record_batch(root_allocator, pa_type, py_data, jvm_type, jvm_spec) without return types