Add build_sindex arg to read_parquet_dask

spatialpandas/io/parquet.py

@@ -179,7 +179,7 @@ def to_parquet_dask(
 
 def read_parquet_dask(
  path, columns=None, filesystem=None, load_divisions=False,
- geometry=None, bounds=None, categories=None,
+ geometry=None, bounds=None, categories=None, build_sindex=False
 ):
  """
  Read spatialpandas parquet dataset(s) as DaskGeoDataFrame. Datasets are assumed to
@@ -207,6 +207,8 @@ def read_parquet_dask(
  If a list, assumes up to 2**16-1 labels; if a dict, specify the number
  of labels expected; if None, will load categories automatically for
  data written by dask/fastparquet, not otherwise.
+ build_sindex : boolean
+ Whether to build partition level spatial indexes to speed up indexing.
  Returns:
  DaskGeoDataFrame
  """
@@ -233,6 +235,9 @@ def read_parquet_dask(
  categories=categories
  )
 
+ if build_sindex:
+ result = result.build_sindex()
+
  return result