diff --git a/xarray/core/parallel.py b/xarray/core/parallel.py
index 08a7577200c..da91d896901 100644
--- a/xarray/core/parallel.py
+++ b/xarray/core/parallel.py
@@ -144,6 +144,35 @@ def _get_chunk_slicer(dim: Hashable, chunk_index: Mapping, chunk_bounds: Mapping
     return slice(None)
 
 
+def _insert_in_memory_data_in_graph(
+    graph, gname, name, variable, chunk_index, chunk_bounds
+):
+    import dask
+
+    # non-dask array possibly with dimensions chunked on other variables
+    # index into variable appropriately
+    subsetter = {
+        dim: _get_chunk_slicer(dim, chunk_index, chunk_bounds) for dim in variable.dims
+    }
+    subset = variable.isel(subsetter)
+    if name in chunk_index:
+        # We are including a dimension coordinate,
+        # minimize duplication by not copying it in the graph for every chunk.
+        chunk_tuple = (chunk_index[name],)
+    else:
+        chunk_tuple = tuple(chunk_index.values())
+
+    chunk_variable_task = (
+        f"{name}-{gname}-{dask.base.tokenize(subset)}",
+    ) + chunk_tuple
+    if chunk_variable_task not in graph:
+        graph[chunk_variable_task] = (
+            tuple,
+            [subset.dims, subset._data, subset.attrs],
+        )
+    return chunk_variable_task
+
+
 def map_blocks(
     func: Callable[..., T_Xarray],
     obj: DataArray | Dataset,
@@ -450,28 +479,14 @@ def subset_dataset_to_block(
                     [variable.dims, chunk, variable.attrs],
                 )
             else:
-                # non-dask array possibly with dimensions chunked on other variables
-                # index into variable appropriately
-                subsetter = {
-                    dim: _get_chunk_slicer(dim, chunk_index, input_chunk_bounds)
-                    for dim in variable.dims
-                }
-                subset = variable.isel(subsetter)
-                if name in chunk_index:
-                    # We are including a dimension coordinate,
-                    # minimize duplication by not copying it in the graph for every chunk.
-                    this_var_chunk_tuple = (chunk_index[name],)
-                else:
-                    this_var_chunk_tuple = chunk_tuple
-
-                chunk_variable_task = (
-                    f"{name}-{gname}-{dask.base.tokenize(subset)}",
-                ) + this_var_chunk_tuple
-                if chunk_variable_task not in graph:
-                    graph[chunk_variable_task] = (
-                        tuple,
-                        [subset.dims, subset._data, subset.attrs],
-                    )
+                chunk_variable_task = _insert_in_memory_data_in_graph(
+                    graph,
+                    gname,
+                    name,
+                    variable,
+                    chunk_index,
+                    input_chunk_bounds,
+                )
 
             # this task creates dict mapping variable name to above tuple
             if name in dataset._coord_names: