restore option to compress raster

.github/workflows/test.yaml

@@ -19,7 +19,7 @@ jobs:
             fail-fast: false
             matrix:
                 include:
-                    - {os: windows-latest, python: "3.11", dask-version: "2025.12.0", name: "min dask"}
+                    - {os: windows-latest, python: "3.11", dask-version: "2026.3.0", name: "min dask"}
                     - {os: windows-latest, python: "3.14", dask-version: "latest"}
                     - {os: ubuntu-latest, python: "3.11", dask-version: "latest"}
                     - {os: ubuntu-latest, python: "3.14", dask-version: "latest"}

pyproject.toml

@@ -26,16 +26,16 @@ dependencies = [
     "annsel>=0.1.2",
     "click",
     "dask-image",
-    "dask>=2025.12.0,<2026.1.2",
-    "distributed<2026.1.2",
+    "dask>=2026.3.0",
+    "distributed>=2026.3.0",
     "datashader",
     "fsspec[s3,http]",
     "geopandas>=0.14",
     "multiscale_spatial_image==2.0.3",
     "networkx",
     "numba>=0.55.0",
     "numpy",
-    "ome_zarr>=0.14.0",
+    "ome_zarr>=0.16.0",
     "pandas",
     "pooch",
     "pyarrow",

src/spatialdata/_core/spatialdata.py

@@ -1108,6 +1108,7 @@ def write(
         update_sdata_path: bool = True,
         sdata_formats: SpatialDataFormatType | list[SpatialDataFormatType] | None = None,
         shapes_geometry_encoding: Literal["WKB", "geoarrow"] | None = None,
+        compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     ) -> None:
         """
         Write the `SpatialData` object to a Zarr store.
@@ -1155,11 +1156,17 @@ def write(
         shapes_geometry_encoding
             Whether to use the WKB or geoarrow encoding for GeoParquet. See :meth:`geopandas.GeoDataFrame.to_parquet`
             for details. If None, uses the value from :attr:`spatialdata.settings.shapes_geometry_encoding`.
+        compressor
+            A lenght-1 dictionary with as key the type of compression to use for images and labels and as value the
+            compression level which should be inclusive between 0 and 9. For compression, `lz4` and `zstd` are
+            supported. If not specified, the compression will be `lz4` with compression level 5. Bytes are automatically
+            ordered for more efficient compression.
         """
-        from spatialdata._io._utils import _resolve_zarr_store
+        from spatialdata._io._utils import _resolve_zarr_store, _validate_compressor_args
         from spatialdata._io.format import _parse_formats
 
         parsed = _parse_formats(sdata_formats)
+        _validate_compressor_args(compressor)
 
         if isinstance(file_path, str):
             file_path = Path(file_path)
@@ -1181,6 +1188,7 @@ def write(
                 overwrite=False,
                 parsed_formats=parsed,
                 shapes_geometry_encoding=shapes_geometry_encoding,
+                compressor=compressor,
             )
 
         if self.path != file_path and update_sdata_path:
@@ -1198,6 +1206,7 @@ def _write_element(
         overwrite: bool,
         parsed_formats: dict[str, SpatialDataFormatType] | None = None,
         shapes_geometry_encoding: Literal["WKB", "geoarrow"] | None = None,
+        compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     ) -> None:
         from spatialdata._io.io_zarr import _get_groups_for_element
 
@@ -1236,13 +1245,15 @@ def _write_element(
                 group=element_group,
                 name=element_name,
                 element_format=parsed_formats["raster"],
+                compressor=compressor,
             )
         elif element_type == "labels":
             write_labels(
                 labels=element,
                 group=root_group,
                 name=element_name,
                 element_format=parsed_formats["raster"],
+                compressor=compressor,
             )
         elif element_type == "points":
             write_points(
@@ -1273,6 +1284,7 @@ def write_element(
         overwrite: bool = False,
         sdata_formats: SpatialDataFormatType | list[SpatialDataFormatType] | None = None,
         shapes_geometry_encoding: Literal["WKB", "geoarrow"] | None = None,
+        compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     ) -> None:
         """
         Write a single element, or a list of elements, to the Zarr store used for backing.
@@ -1291,6 +1303,11 @@ def write_element(
         shapes_geometry_encoding
             Whether to use the WKB or geoarrow encoding for GeoParquet. See :meth:`geopandas.GeoDataFrame.to_parquet`
             for details. If None, uses the value from :attr:`spatialdata.settings.shapes_geometry_encoding`.
+         compressor
+            A lenght-1 dictionary with as key the type of compression to use for images and labels and as value the
+            compression level which should be inclusive between 0 and 9. For compression, `lz4` and `zstd` are
+            supported. If not specified, the compression will be `lz4` with compression level 5. Bytes are automatically
+            ordered for more efficient compression.
 
         Notes
         -----
@@ -1309,6 +1326,7 @@ def write_element(
                     overwrite=overwrite,
                     sdata_formats=sdata_formats,
                     shapes_geometry_encoding=shapes_geometry_encoding,
+                    compressor=compressor,
                 )
             return
 
@@ -1344,6 +1362,7 @@ def write_element(
             overwrite=overwrite,
             parsed_formats=parsed_formats,
             shapes_geometry_encoding=shapes_geometry_encoding,
+            compressor=compressor,
         )
         # After every write, metadata should be consolidated, otherwise this can lead to IO problems like when deleting.
         if self.has_consolidated_metadata():

src/spatialdata/_io/_utils.py

@@ -545,3 +545,22 @@ def handle_read_errors(
     else:  # on_bad_files == BadFileHandleMethod.ERROR
         # Let it raise exceptions
         yield
+
+
+def _validate_compressor_args(compressor_dict: dict[Literal["lz4", "zstd"], int] | None) -> None:
+    if compressor_dict:
+        if not isinstance(compressor_dict, dict):
+            raise TypeError(
+                f"Expected a dictionary with as key the type of compression to use for images and labels and "
+                f"as value the compression level which should be inclusive between 1 and 9. "
+                f"Got type: {type(compressor_dict)}"
+            )
+        if len(compressor_dict) != 1:
+            raise ValueError(
+                "Expected a dictionary with a single key indicating the type of compression, either 'lz4' or "
+                "'zstd' and an `int` inclusive between 1 and 9 as value representing the compression level."
+            )
+        if (compression := list(compressor_dict.keys())[0]) not in ["lz4", "zstd"]:
+            raise ValueError(f"Compression must either be `lz4` or `zstd`, got: {compression}.")
+        if not isinstance(value := list(compressor_dict.values())[0], int) or not (0 <= value <= 9):
+            raise ValueError(f"The compression level must be an integer inclusive between 0 and 9. Got: {value}")

src/spatialdata/_io/io_raster.py

@@ -2,7 +2,7 @@
 
 from collections.abc import Sequence
 from pathlib import Path
-from typing import Any, Literal, TypeGuard
+from typing import Any, Literal, TypeGuard, cast
 
 import dask.array as da
 import numpy as np
@@ -265,6 +265,7 @@ def _write_raster(
     name: str,
     raster_format: RasterFormatType,
     storage_options: JSONDict | list[JSONDict] | None = None,
+    compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     label_metadata: JSONDict | None = None,
     **metadata: str | JSONDict | list[JSONDict],
 ) -> None:
@@ -284,6 +285,8 @@ def _write_raster(
         The format used to write the raster data.
     storage_options
         Additional options for writing the raster data, like chunks and compression.
+    compressor
+        Compression settings as a len-1 dictionary with a single key-value {compression: compression level} pair
     label_metadata
         Label metadata which can only be defined when writing 'labels'.
     metadata
@@ -313,6 +316,7 @@ def _write_raster(
             raster_data,
             raster_format,
             storage_options,
+            compressor=compressor,
             **metadata,
         )
     elif isinstance(raster_data, DataTree):
@@ -323,6 +327,7 @@ def _write_raster(
             raster_data,
             raster_format,
             storage_options,
+            compressor=compressor,
             **metadata,
         )
     else:
@@ -337,13 +342,94 @@ def _write_raster(
     group.attrs[ATTRS_KEY] = attrs
 
 
+def _build_v3_codec(
+    compression: Literal["lz4", "zstd"],
+    compression_level: int,
+) -> Any:
+    """Return the appropriate zarr v3 codec for the given compression type and level."""
+    if compression == "zstd":
+        from zarr.codecs import ZstdCodec
+
+        return ZstdCodec(level=compression_level)
+    # lz4: use the native zarr v3 BloscCodec
+    from zarr.codecs import BloscCodec
+
+    return BloscCodec(cname="lz4", clevel=compression_level)
+
+
+def _apply_compression(
+    storage_options: JSONDict | list[JSONDict],
+    compressor: dict[Literal["lz4", "zstd"], int] | None,
+    zarr_format: Literal[2, 3] = 3,
+) -> JSONDict | list[JSONDict]:
+    """Apply compression settings to storage options.
+
+    Parameters
+    ----------
+    storage_options
+        Storage options for zarr arrays
+    compressor
+        Compression settings as a dictionary with a single key-value pair
+    zarr_format
+        The zarr format version (2 or 3)
+
+    Returns
+    -------
+    Updated storage options with compression settings
+    """
+    if not compressor:
+        return storage_options
+
+    ((compression, compression_level),) = compressor.items()
+
+    if zarr_format == 2:
+        from numcodecs import Blosc as BloscV2
+
+        assert BloscV2.SHUFFLE == 1
+        codec_v2 = BloscV2(cname=compression, clevel=compression_level, shuffle=1)
+
+        def _update_dict(d: dict[str, Any]) -> None:
+            d["compressor"] = codec_v2
+
+        if isinstance(storage_options, dict):
+            _update_dict(d=storage_options)
+        elif isinstance(storage_options, list):
+            for option in storage_options:
+                _update_dict(d=option)
+        elif storage_options is None:
+            return {"compressor": codec_v2}
+        else:
+            raise ValueError(f"storage_options must be a dict or list, not {type(storage_options)}")
+    else:
+        # zarr v3: use native codec objects via the "compressors" (plural) key.
+        # see  https://github.com/ome/ome-zarr-py/blob/v0.16.0/ome_zarr/writer.py#L754
+        # ome-zarr-py ≥ 0.16.0 with dask ≥ 2026.3.0 forwards this key to zarr_array_kwargs.
+        codec_v3 = _build_v3_codec(compression, compression_level)
+
+        def _update_dict_v3(d: dict[str, Any]) -> None:
+            d["compressors"] = [codec_v3]
+
+        if isinstance(storage_options, dict):
+            _update_dict_v3(d=storage_options)
+        elif isinstance(storage_options, list):
+            for option in storage_options:
+                _update_dict_v3(d=option)
+        elif storage_options is None:
+            return {"compressors": [codec_v3]}
+        else:
+            raise ValueError(f"storage_options must be a dict or list, not {type(storage_options)}")
+
+    return storage_options
+
+
 def _write_raster_dataarray(
     raster_type: Literal["image", "labels"],
     group: zarr.Group,
     element_name: str,
     raster_data: DataArray,
     raster_format: RasterFormatType,
-    storage_options: JSONDict | list[JSONDict] | None = None,
+    storage_options: JSONDict | list[JSONDict] | None,
+    compressor: dict[Literal["lz4", "zstd"], int] | None,
     **metadata: str | JSONDict | list[JSONDict],
 ) -> None:
     """Write raster data of type DataArray to disk.
@@ -362,6 +448,8 @@ def _write_raster_dataarray(
         The format used to write the raster data.
     storage_options
         Additional options for writing the raster data, like chunks and compression.
+    compressor
+        Compression settings as a len-1 dictionary with a single key-value {compression: compression level} pair
     metadata
         Additional metadata for the raster element
     """
@@ -373,6 +461,11 @@ def _write_raster_dataarray(
     input_axes: tuple[str, ...] = tuple(raster_data.dims)
     parsed_axes = _get_valid_axes(axes=list(input_axes), fmt=raster_format)
     storage_options = _prepare_storage_options(storage_options)
+    # Apply compression if specified
+    storage_options = _apply_compression(
+        storage_options, compressor, zarr_format=cast(Literal[2, 3], raster_format.zarr_format)
+    )
+
     # Explicitly disable pyramid generation for single-scale rasters. Recent ome-zarr versions default
     # write_image()/write_labels() to scale_factors=(2, 4, 8, 16), which would otherwise write s0, s1, ...
     # even when the input is a plain DataArray.
@@ -406,7 +499,8 @@ def _write_raster_datatree(
     element_name: str,
     raster_data: DataTree,
     raster_format: RasterFormatType,
-    storage_options: JSONDict | list[JSONDict] | None = None,
+    storage_options: JSONDict | list[JSONDict] | None,
+    compressor: dict[Literal["lz4", "zstd"], int] | None,
     **metadata: str | JSONDict | list[JSONDict],
 ) -> zarr.Group:
     """Write raster data of type DataTree to disk.
@@ -425,6 +519,8 @@ def _write_raster_datatree(
         The format used to write the raster data.
     storage_options
         Additional options for writing the raster data, like chunks and compression.
+    compressor
+        Compression settings as a len-1 dictionary with a single key-value {compression: compression level} pair
     metadata
         Additional metadata for the raster element
     """
@@ -442,6 +538,10 @@ def _write_raster_datatree(
 
     parsed_axes = _get_valid_axes(axes=list(input_axes), fmt=raster_format)
     storage_options = _prepare_storage_options(storage_options)
+
+    # Apply compression if specified
+    storage_options = _apply_compression(storage_options, compressor, zarr_format=raster_format.zarr_format)
+
     ome_zarr_format = get_ome_zarr_format(raster_format)
     dask_delayed = write_multi_scale_ngff(
         pyramid=data,
@@ -483,6 +583,7 @@ def write_image(
     name: str,
     element_format: RasterFormatType = CurrentRasterFormat(),
     storage_options: JSONDict | list[JSONDict] | None = None,
+    compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     **metadata: str | JSONDict | list[JSONDict],
 ) -> None:
     _write_raster(
@@ -492,6 +593,7 @@ def write_image(
         name=name,
         raster_format=element_format,
         storage_options=storage_options,
+        compressor=compressor,
         **metadata,
     )
 
@@ -503,6 +605,7 @@ def write_labels(
     element_format: RasterFormatType = CurrentRasterFormat(),
     storage_options: JSONDict | list[JSONDict] | None = None,
     label_metadata: JSONDict | None = None,
+    compressor: dict[Literal["lz4", "zstd"], int] | None = None,
     **metadata: JSONDict,
 ) -> None:
     _write_raster(
@@ -512,6 +615,7 @@ def write_labels(
         name=name,
         raster_format=element_format,
         storage_options=storage_options,
+        compressor=compressor,
         label_metadata=label_metadata,
         **metadata,
     )