From 8e343d0a3902d202225522be8e9e82f36e39dd81 Mon Sep 17 00:00:00 2001
From: Dave Bunten <dave.bunten@cuanschutz.edu>
Date: Wed, 3 Jul 2024 08:09:57 -0600
Subject: [PATCH] Use real AWS S3 data tests and apply related fixes (#212)

* remove moto

* further remove moto and related

* formatting

* simplify sources work

* simplify sources gathering; fix cloud paths

* linting and pytest marking

* fix utils path; correct pytest marker

* update test

* update to add new preset for jump data

* linting

* add scheduled test specificity

* find shape

* tests for data shape; minor change for parsl conf

* testing gh actions tests

* custom testing for large data tests

* docs updates; lower chunk size

* smaller chunk size

* updates for profiling

* avoid fail fast; increase test chunk size

* remove explain

* reduce chunk size

* attempt hte

* join false for s3 sqlite

* no join with threaded

* split tests; duckdb mem limit

* update parsl

* chunk size 2000

* chunk size 1000

* 8gb duckdb memory

* remove concat test

* 800 chunk size

* remove duckdb mem limit; update ddb + pa

* try unsorted

* avoid large data copies in joins

* sort output

* chunk size 1000

* sort output and remove setting

* chunk size 3000

* readd proper data changes

* avoid column removal

* chunk size 5000; readd col removal

* 7000 chunk size

* 10000 chunksize

* chunk size 15000

* 20000 chunksize

* chunksize 30000

* chunk size 45000

* chunksize 40000

* chunksize 35000

* chunk size 30000, scoping for test data

* use tmp_path

* chunk size 31000

* add test cytominer-database cmd

* poetry env context for cytominer-database

* show command

* use static data for cytominer-database

* provide unique paths for test

* create temp dependency for testing

* try threaded tests

* attempt without temp dir

* readd temp dir

* show sql

* resolve path

* show sources

* move test files

* show more about sources

* show sources without conditional

* add missing files

* remove debug; move tests

* fix ci conditional

* lines cleanup; remove httpfs install

* testing comments

* revert to cloudpathlib ^0.18.0

* update lockfile

* prepare test ci for pr

* split test jobs

* remove large data tests from matrix

* linting

* remove dev branch

* correct comments; ci job dep

* avoid httpfs plugin error

* comment about task event trigger

Co-Authored-By: Gregory Way <gregory.way@gmail.com>

* comment about object storage path

Co-Authored-By: Gregory Way <gregory.way@gmail.com>

* limit join data for tests

* linting

---------

Co-authored-by: Gregory Way <gregory.way@gmail.com>
---
 .github/workflows/test.yml                    |   26 +-
 cytotable/convert.py                          |   29 +-
 cytotable/presets.py                          |   48 +
 cytotable/sources.py                          |   61 +-
 cytotable/utils.py                            |   19 +-
 docs/source/python-api.md                     |   16 -
 poetry.lock                                   | 1223 +++--------------
 pyproject.toml                                |    6 +-
 tests/conftest.py                             |  169 +--
 .../cytominer-database/data_a/1/Cells.csv     |   21 +
 .../cytominer-database/data_a/1/Cytoplasm.csv |   21 +
 .../cytominer-database/data_a/1/Nuclei.csv    |   21 +
 .../cytominer-database/data_a/2/Cells.csv     |   21 +
 .../cytominer-database/data_a/2/Cytoplasm.csv |   21 +
 .../cytominer-database/data_a/2/Nuclei.csv    |   21 +
 .../data_a_sqlite/data_a.sqlite               |  Bin 0 -> 602112 bytes
 .../data_b_sqlite/data_b.sqlite               |  Bin 0 -> 716800 bytes
 tests/test_convert.py                         |   22 +-
 tests/test_convert_threaded.py                |  186 +--
 tests/test_sources.py                         |   46 +
 20 files changed, 607 insertions(+), 1370 deletions(-)
 create mode 100644 tests/data/cytominer-database/data_a/1/Cells.csv
 create mode 100644 tests/data/cytominer-database/data_a/1/Cytoplasm.csv
 create mode 100644 tests/data/cytominer-database/data_a/1/Nuclei.csv
 create mode 100644 tests/data/cytominer-database/data_a/2/Cells.csv
 create mode 100644 tests/data/cytominer-database/data_a/2/Cytoplasm.csv
 create mode 100644 tests/data/cytominer-database/data_a/2/Nuclei.csv
 create mode 100644 tests/data/cytominer-database/data_a_sqlite/data_a.sqlite
 create mode 100644 tests/data/cytominer-database/data_b_sqlite/data_b.sqlite
 create mode 100644 tests/test_sources.py

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 69d41241..adc37c5b 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -24,13 +24,14 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
       - name: Python setup
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python_version }}
       # remove poetry.lock file for scheduled tests
       # to help simulate possible upstream issues
       - name: Remove poetry.lock for scheduled tests
-        if: github.event_name == 'schedule'
+        # runs every Wednesday at 7 AM UTC
+        if: github.event.schedule == '0 7 * * 3'
         run: |
           rm poetry.lock
       - name: Setup for poetry
@@ -40,4 +41,23 @@ jobs:
       - name: Run sphinx-docs build test
         run: poetry run sphinx-build docs/source doctest -W
       - name: Run pytest
-        run: poetry run pytest
+        run: poetry run pytest -m "not large_data_tests"
+  # run large data tests as a separate job to help
+  # conserve resources by detecting failure with
+  # smaller tests first.
+  run_large_data_tests:
+    runs-on: ubuntu-22.04
+    needs: run_tests
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Python setup
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+      - name: Setup for poetry
+        uses: ./.github/actions/setup-poetry
+      - name: Install environment
+        run: poetry install --no-interaction --no-ansi
+      - name: Run pytest for large data tests
+        run: poetry run pytest -m "large_data_tests"
diff --git a/cytotable/convert.py b/cytotable/convert.py
index c0d782c5..a6e3e267 100644
--- a/cytotable/convert.py
+++ b/cytotable/convert.py
@@ -46,11 +46,12 @@ def _get_table_columns_and_types(
     import pathlib
 
     import duckdb
+    from cloudpathlib import AnyPath
 
     from cytotable.utils import _duckdb_reader, _sqlite_mixed_type_query_to_parquet
 
     source_path = source["source_path"]
-    source_type = str(pathlib.Path(source_path).suffix).lower()
+    source_type = str(source_path.suffix).lower()
 
     # prepare the data source in the form of a duckdb query
     select_source = (
@@ -209,7 +210,7 @@ def _get_table_chunk_offsets(
     import pathlib
 
     import duckdb
-    from cloudpathlib import AnyPath
+    from cloudpathlib import AnyPath, CloudPath
 
     from cytotable.exceptions import NoInputDataException
     from cytotable.utils import _duckdb_reader
@@ -219,18 +220,9 @@ def _get_table_chunk_offsets(
     if source is not None:
         table_name = source["table_name"] if "table_name" in source.keys() else None
         source_path = source["source_path"]
-        source_type = str(pathlib.Path(source_path).suffix).lower()
+        source_type = str(source_path.suffix).lower()
 
         try:
-            # for csv's, check that we have more than one row (a header and data values)
-            if (
-                source_type == ".csv"
-                and sum(1 for _ in AnyPath(source_path).open("r")) <= 1
-            ):
-                raise NoInputDataException(
-                    f"Data file has 0 rows of values. Error in file: {source_path}"
-                )
-
             # gather the total rowcount from csv or sqlite data input sources
             with _duckdb_reader() as ddb_reader:
                 rowcount = int(
@@ -322,8 +314,8 @@ def _source_chunk_to_parquet(
 
     # attempt to build dest_path
     source_dest_path = (
-        f"{dest_path}/{str(pathlib.Path(source_group_name).stem).lower()}/"
-        f"{str(pathlib.Path(source['source_path']).parent.name).lower()}"
+        f"{dest_path}/{str(AnyPath(source_group_name).stem).lower()}/"
+        f"{str(source['source_path'].parent.name).lower()}"
     )
     pathlib.Path(source_dest_path).mkdir(parents=True, exist_ok=True)
 
@@ -364,11 +356,11 @@ def _source_chunk_to_parquet(
 
     # build output query and filepath base
     # (chunked output will append offset to keep output paths unique)
-    if str(AnyPath(source["source_path"]).suffix).lower() == ".csv":
+    if str(source["source_path"].suffix).lower() == ".csv":
         base_query = f"SELECT {select_columns} FROM read_csv_auto('{str(source['source_path'])}', header=TRUE, delim=',')"
         result_filepath_base = f"{source_dest_path}/{str(source['source_path'].stem)}"
 
-    elif str(AnyPath(source["source_path"]).suffix).lower() == ".sqlite":
+    elif str(source["source_path"].suffix).lower() == ".sqlite":
         base_query = f"SELECT {select_columns} FROM sqlite_scan('{str(source['source_path'])}', '{str(source['table_name'])}')"
         result_filepath_base = f"{source_dest_path}/{str(source['source_path'].stem)}.{source['table_name']}"
 
@@ -405,7 +397,7 @@ def _source_chunk_to_parquet(
         # to handle the mixed types
         if (
             "Mismatch Type Error" in str(e)
-            and str(AnyPath(source["source_path"]).suffix).lower() == ".sqlite"
+            and str(source["source_path"].suffix).lower() == ".sqlite"
         ):
             _write_parquet_table_with_metadata(
                 # here we use sqlite instead of duckdb to extract
@@ -817,6 +809,7 @@ def _join_source_chunk(
     exclude_meta_cols = [
         f"c NOT LIKE '{col}%'" for col in list(CYOTABLE_META_COLUMN_TYPES.keys())
     ]
+
     with _duckdb_reader() as ddb_reader:
         result = ddb_reader.execute(
             f"""
@@ -1114,7 +1107,7 @@ def _to_parquet(  # pylint: disable=too-many-arguments, too-many-locals
             else []
         ),
         **kwargs,
-    ).result()
+    )
 
     # expand the destination path
     expanded_dest_path = _expand_path(path=dest_path)
diff --git a/cytotable/presets.py b/cytotable/presets.py
index 4f4191a5..c53e9589 100644
--- a/cytotable/presets.py
+++ b/cytotable/presets.py
@@ -85,6 +85,54 @@
                 AND per_nuclei.Nuclei_Number_Object_Number = per_cytoplasm.Cytoplasm_Parent_Nuclei
             """,
     },
+    "cellprofiler_sqlite_cpg0016_jump": {
+        # version specifications using related references
+        "CONFIG_SOURCE_VERSION": {
+            "cellprofiler": "v4.0.0",
+        },
+        # names of source table compartments (for ex. cells.csv, etc.)
+        "CONFIG_NAMES_COMPARTMENTS": ("cells", "nuclei", "cytoplasm"),
+        # names of source table metadata (for ex. image.csv, etc.)
+        "CONFIG_NAMES_METADATA": ("image",),
+        # column names in any compartment or metadata tables which contain
+        # unique names to avoid renaming
+        "CONFIG_IDENTIFYING_COLUMNS": (
+            "ImageNumber",
+            "ObjectNumber",
+            "Metadata_Well",
+            "Metadata_Plate",
+            "Parent_Cells",
+            "Parent_Nuclei",
+        ),
+        # chunk size to use for join operations to help with possible performance issues
+        # note: this number is an estimate and is may need changes contingent on data
+        # and system used by this library.
+        "CONFIG_CHUNK_SIZE": 1000,
+        # compartment and metadata joins performed using DuckDB SQL
+        # and modified at runtime as needed
+        "CONFIG_JOINS": """
+            SELECT
+                image.Image_TableNumber,
+                image.Metadata_ImageNumber,
+                image.Metadata_Plate,
+                image.Metadata_Well,
+                image.Image_Metadata_Site,
+                image.Image_Metadata_Row,
+                cytoplasm.* EXCLUDE (Metadata_ImageNumber),
+                cells.* EXCLUDE (Metadata_ImageNumber),
+                nuclei.* EXCLUDE (Metadata_ImageNumber)
+            FROM
+                read_parquet('cytoplasm.parquet') AS cytoplasm
+            LEFT JOIN read_parquet('cells.parquet') AS cells ON
+                cells.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+                AND cells.Metadata_ObjectNumber = cytoplasm.Cytoplasm_Parent_Cells
+            LEFT JOIN read_parquet('nuclei.parquet') AS nuclei ON
+                nuclei.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+                AND nuclei.Metadata_ObjectNumber = cytoplasm.Cytoplasm_Parent_Nuclei
+            LEFT JOIN read_parquet('image.parquet') AS image ON
+                image.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+            """,
+    },
     "cellprofiler_sqlite_pycytominer": {
         # version specifications using related references
         "CONFIG_SOURCE_VERSION": {
diff --git a/cytotable/sources.py b/cytotable/sources.py
index 0c4238ba..8e3276d3 100644
--- a/cytotable/sources.py
+++ b/cytotable/sources.py
@@ -7,13 +7,11 @@
 from typing import Any, Dict, List, Optional, Union
 
 from cloudpathlib import AnyPath
-from parsl.app.app import join_app, python_app
 
+from cytotable.exceptions import NoInputDataException
 
-@python_app
-def _build_path(
-    path: Union[str, pathlib.Path, AnyPath], **kwargs
-) -> Union[pathlib.Path, AnyPath]:
+
+def _build_path(path: str, **kwargs) -> Union[pathlib.Path, AnyPath]:
     """
     Build a path client or return local path.
 
@@ -43,10 +41,9 @@ def _build_path(
     return processed_path
 
 
-@python_app
 def _get_source_filepaths(
     path: Union[pathlib.Path, AnyPath],
-    targets: List[str],
+    targets: Optional[List[str]] = None,
     source_datatype: Optional[str] = None,
 ) -> Dict[str, List[Dict[str, Any]]]:
     """
@@ -75,7 +72,7 @@ def _get_source_filepaths(
 
     if (targets is None or targets == []) and source_datatype is None:
         raise DatatypeException(
-            f"A source_datatype must be specified when using undefined compartments and metadata names."
+            "A source_datatype must be specified when using undefined compartments and metadata names."
         )
 
     # gathers files from provided path using compartments + metadata as a filter
@@ -87,9 +84,9 @@ def _get_source_filepaths(
         for subpath in (
             (path,)
             # used if the source path is a single file
-            if AnyPath(path).is_file()
+            if path.is_file()
             # iterates through a source directory
-            else (x for x in AnyPath(path).glob("**/*") if AnyPath(x).is_file())
+            else (x for x in path.glob("**/*") if x.is_file())
         )
         # ensure the subpaths meet certain specifications
         if (
@@ -129,7 +126,8 @@ def _get_source_filepaths(
                     .arrow()["table_name"]
                     .to_pylist()
                     # make sure the table names match with compartment + metadata names
-                    if any(target.lower() in table_name.lower() for target in targets)
+                    if targets is not None
+                    and any(target.lower() in table_name.lower() for target in targets)
                 ]
             else:
                 # if we don't have sqlite source, append the existing element
@@ -181,7 +179,6 @@ def _get_source_filepaths(
     return grouped_sources
 
 
-@python_app
 def _infer_source_datatype(
     sources: Dict[str, List[Dict[str, Any]]], source_datatype: Optional[str] = None
 ) -> str:
@@ -230,7 +227,6 @@ def _infer_source_datatype(
     return source_datatype
 
 
-@python_app
 def _filter_source_filepaths(
     sources: Dict[str, List[Dict[str, Any]]], source_datatype: str
 ) -> Dict[str, List[Dict[str, Any]]]:
@@ -260,12 +256,45 @@ def _filter_source_filepaths(
             if file["source_path"].stat().st_size > 0
             # ensure the datatype matches the source datatype
             and file["source_path"].suffix == f".{source_datatype}"
+            and _file_is_more_than_one_line(path=file["source_path"])
         ]
         for filegroup, files in sources.items()
     }
 
 
-@join_app
+def _file_is_more_than_one_line(path: Union[pathlib.Path, AnyPath]) -> bool:
+    """
+    Check if the file has more than one line.
+
+    Args:
+        path (Union[pathlib.Path, AnyPath]):
+            The path to the file.
+
+    Returns:
+        bool:
+            True if the file has more than one line, False otherwise.
+
+    Raises:
+        NoInputDataException: If the file has zero lines.
+    """
+
+    # if we don't have a sqlite file
+    # (we can't check sqlite files for lines)
+    if path.suffix.lower() != ".sqlite":
+        with path.open("r") as f:
+            try:
+                # read two lines, if the second is empty return false
+                return bool(f.readline() and f.readline())
+
+            except StopIteration:
+                # If we encounter the end of the file, it has only one line
+                raise NoInputDataException(
+                    f"Data file has 0 rows of values. Error in file: {path}"
+                )
+    else:
+        return True
+
+
 def _gather_sources(
     source_path: str,
     source_datatype: Optional[str] = None,
@@ -295,11 +324,11 @@ def _gather_sources(
         _infer_source_datatype,
     )
 
-    source_path = _build_path(path=source_path, **kwargs)
+    built_path = _build_path(path=source_path, **kwargs)
 
     # gather filepaths which will be used as the basis for this work
     sources = _get_source_filepaths(
-        path=source_path, targets=targets, source_datatype=source_datatype
+        path=built_path, targets=targets, source_datatype=source_datatype
     )
 
     # infer or validate the source datatype based on source filepaths
diff --git a/cytotable/utils.py b/cytotable/utils.py
index 62972b96..c95d4fb7 100644
--- a/cytotable/utils.py
+++ b/cytotable/utils.py
@@ -149,6 +149,10 @@ def _duckdb_reader() -> duckdb.DuckDBPyConnection:
         INSTALL sqlite_scanner;
         LOAD sqlite_scanner;
 
+        /* Install httpfs plugin to avoid error
+        https://github.com/duckdb/duckdb/issues/3243 */
+        INSTALL httpfs;
+
         /*
         Set threads available to duckdb
         See the following for more information:
@@ -322,7 +326,7 @@ def _sqlite_affinity_data_type_lookup(col_type: str) -> str:
     return pa.Table.from_pylist(results)
 
 
-def _cache_cloudpath_to_local(path: Union[str, AnyPath]) -> pathlib.Path:
+def _cache_cloudpath_to_local(path: AnyPath) -> pathlib.Path:
     """
     Takes a cloudpath and uses cache to convert to a local copy
     for use in scenarios where remote work is not possible (sqlite).
@@ -337,24 +341,25 @@ def _cache_cloudpath_to_local(path: Union[str, AnyPath]) -> pathlib.Path:
             A local pathlib.Path to cached version of cloudpath file.
     """
 
-    candidate_path = AnyPath(path)
-
     # check that the path is a file (caching won't work with a dir)
     # and check that the file is of sqlite type
     # (other file types will be handled remotely in cloud)
-    if candidate_path.is_file() and candidate_path.suffix.lower() == ".sqlite":
+    if (
+        isinstance(path, CloudPath)
+        and path.is_file()
+        and path.suffix.lower() == ".sqlite"
+    ):
         try:
             # update the path to be the local filepath for reference in CytoTable ops
             # note: incurs a data read which will trigger caching of the file
-            path = CloudPath(path).fspath
+            path = pathlib.Path(path.fspath)
         except InvalidPrefixError:
             # share information about not finding a cloud path
             logger.info(
                 "Did not detect a cloud path based on prefix. Defaulting to use local path operations."
             )
 
-    # cast the result as a pathlib.Path
-    return pathlib.Path(path)
+    return path
 
 
 def _arrow_type_cast_if_specified(
diff --git a/docs/source/python-api.md b/docs/source/python-api.md
index e67952a2..7868f2c7 100644
--- a/docs/source/python-api.md
+++ b/docs/source/python-api.md
@@ -64,22 +64,6 @@ Sources
 
 |
 
-.. autofunction:: _build_path
-
-|
-
-.. autofunction:: _filter_source_filepaths
-
-|
-
-.. autofunction:: _get_source_filepaths
-
-|
-
-.. autofunction:: _infer_source_datatype
-
-|
-
 Utils
 -----
 
diff --git a/poetry.lock b/poetry.lock
index 34da1cd4..80363dff 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "agate"
@@ -90,74 +90,6 @@ files = [
     {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"},
 ]
 
-[[package]]
-name = "annotated-types"
-version = "0.6.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
-[[package]]
-name = "attrs"
-version = "23.2.0"
-description = "Classes Without Boilerplate"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
-]
-
-[package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
-
-[[package]]
-name = "aws-sam-translator"
-version = "1.86.0"
-description = "AWS SAM Translator is a library that transform SAM templates into AWS CloudFormation templates"
-optional = false
-python-versions = ">=3.8, <=4.0, !=4.0"
-files = [
-    {file = "aws-sam-translator-1.86.0.tar.gz", hash = "sha256:a748dcd7886024cb7586abbbdbabe8c787c44c6547bb6602879d7bb8a6934d05"},
-    {file = "aws_sam_translator-1.86.0-py3-none-any.whl", hash = "sha256:97a44e5ac8b0d141c31f4ed35c57aa94429a0e6cef7fe989831c9a1c40455473"},
-]
-
-[package.dependencies]
-boto3 = ">=1.19.5,<2.dev0"
-jsonschema = ">=3.2,<5"
-pydantic = ">=1.8,<3"
-typing-extensions = ">=4.4"
-
-[package.extras]
-dev = ["black (==23.10.1)", "boto3 (>=1.23,<2)", "boto3-stubs[appconfig,serverlessrepo] (>=1.19.5,<2.dev0)", "coverage (>=5.3,<8)", "dateparser (>=1.1,<2.0)", "mypy (>=1.3.0,<1.4.0)", "parameterized (>=0.7,<1.0)", "pytest (>=6.2,<8)", "pytest-cov (>=2.10,<5)", "pytest-env (>=0.6,<1)", "pytest-rerunfailures (>=9.1,<12)", "pytest-xdist (>=2.5,<4)", "pyyaml (>=6.0,<7.0)", "requests (>=2.28,<3.0)", "ruamel.yaml (==0.17.21)", "ruff (>=0.1.0,<0.2.0)", "tenacity (>=8.0,<9.0)", "types-PyYAML (>=6.0,<7.0)", "types-jsonschema (>=3.2,<4.0)"]
-
-[[package]]
-name = "aws-xray-sdk"
-version = "2.13.0"
-description = "The AWS X-Ray SDK for Python (the SDK) enables Python developers to record and emit information from within their applications to the AWS X-Ray service."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "aws-xray-sdk-2.13.0.tar.gz", hash = "sha256:816186126917bc35ae4e6e2f304702a43d494ecef34a39e6330f5018bdecc9f5"},
-    {file = "aws_xray_sdk-2.13.0-py2.py3-none-any.whl", hash = "sha256:d18604a8688b4bed03ce4a858cc9acd72b71400e085bf7512fc31cf657ca85f9"},
-]
-
-[package.dependencies]
-botocore = ">=1.11.3"
-wrapt = "*"
-
 [[package]]
 name = "azure-core"
 version = "1.30.1"
@@ -280,16 +212,21 @@ tests = ["pytest (>=3.2.1,!=3.3.0)"]
 typecheck = ["mypy"]
 
 [[package]]
-name = "blinker"
-version = "1.7.0"
-description = "Fast, simple object-to-object and broadcast signaling"
+name = "boto3"
+version = "1.7.84"
+description = "The AWS SDK for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = "*"
 files = [
-    {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
-    {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
+    {file = "boto3-1.7.84-py2.py3-none-any.whl", hash = "sha256:0ed4b107c3b4550547aaec3c9bb17df068ff92d1f6f4781205800e2cb8a66de5"},
+    {file = "boto3-1.7.84.tar.gz", hash = "sha256:64496f2c814e454e26c024df86bd08fb4643770d0e2b7a8fd70055fc6683eb9d"},
 ]
 
+[package.dependencies]
+botocore = ">=1.10.84,<1.11.0"
+jmespath = ">=0.7.1,<1.0.0"
+s3transfer = ">=0.1.10,<0.2.0"
+
 [[package]]
 name = "boto3"
 version = "1.34.63"
@@ -309,6 +246,22 @@ s3transfer = ">=0.10.0,<0.11.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
+[[package]]
+name = "botocore"
+version = "1.10.84"
+description = "Low-level, data-driven core of boto 3."
+optional = false
+python-versions = "*"
+files = [
+    {file = "botocore-1.10.84-py2.py3-none-any.whl", hash = "sha256:380852e1adb9ba4ba9ff096af61f88a6888197b86e580e1bd786f04ebe6f9c0c"},
+    {file = "botocore-1.10.84.tar.gz", hash = "sha256:d3e4b5a2c903ea30d19d41ea2f65d0e51dce54f4f4c4dfd6ecd7b04f240844a8"},
+]
+
+[package.dependencies]
+docutils = ">=0.10"
+jmespath = ">=0.7.1,<1.0.0"
+python-dateutil = {version = ">=2.1,<3.0.0", markers = "python_version >= \"2.7\""}
+
 [[package]]
 name = "botocore"
 version = "1.34.63"
@@ -323,10 +276,7 @@ files = [
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = [
-    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
-    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
-]
+urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
 crt = ["awscrt (==0.19.19)"]
@@ -417,29 +367,6 @@ files = [
 [package.dependencies]
 pycparser = "*"
 
-[[package]]
-name = "cfn-lint"
-version = "0.86.0"
-description = "Checks CloudFormation templates for practices and behaviour that could potentially be improved"
-optional = false
-python-versions = ">=3.8, <=4.0, !=4.0"
-files = [
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-]
-
-[package.dependencies]
-aws-sam-translator = ">=1.85.0"
-jschema-to-python = ">=1.2.3,<1.3.0"
-jsonpatch = "*"
-jsonschema = ">=3.0,<5"
-junit-xml = ">=1.9,<2.0"
-networkx = ">=2.4,<4"
-pyyaml = ">5.4"
-regex = ">=2021.7.1"
-sarif-om = ">=1.0.4,<1.1.0"
-sympy = ">=1.0.0"
-
 [[package]]
 name = "charset-normalizer"
 version = "3.3.2"
@@ -791,27 +718,6 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
-[[package]]
-name = "docker"
-version = "7.0.0"
-description = "A Python library for the Docker Engine API."
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
-[package.dependencies]
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-pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
-requests = ">=2.26.0"
-urllib3 = ">=1.26.0"
-
-[package.extras]
-ssh = ["paramiko (>=2.4.3)"]
-websockets = ["websocket-client (>=1.3.0)"]
-
 [[package]]
 name = "docutils"
 version = "0.19"
@@ -825,58 +731,57 @@ files = [
 
 [[package]]
 name = "duckdb"
-version = "0.10.1"
+version = "1.0.0"
 description = "DuckDB in-process database"
 optional = false
 python-versions = ">=3.7.0"
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 ]
 
 [[package]]
@@ -893,24 +798,6 @@ files = [
 [package.dependencies]
 packaging = ">=20.9"
 
-[[package]]
-name = "ecdsa"
-version = "0.18.0"
-description = "ECDSA cryptographic signature library (pure python)"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
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-]
-
-[package.dependencies]
-six = ">=1.9.0"
-
-[package.extras]
-gmpy = ["gmpy"]
-gmpy2 = ["gmpy2"]
-
 [[package]]
 name = "et-xmlfile"
 version = "1.1.0"
@@ -937,41 +824,20 @@ files = [
 test = ["pytest (>=6)"]
 
 [[package]]
-name = "flask"
-version = "3.0.2"
-description = "A simple framework for building complex web applications."
+name = "filelock"
+version = "3.15.3"
+description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "flask-3.0.2-py3-none-any.whl", hash = "sha256:3232e0e9c850d781933cf0207523d1ece087eb8d87b23777ae38456e2fbe7c6e"},
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+    {file = "filelock-3.15.3.tar.gz", hash = "sha256:e1199bf5194a2277273dacd50269f0d87d0682088a3c561c15674ea9005d8635"},
 ]
 
-[package.dependencies]
-blinker = ">=1.6.2"
-click = ">=8.1.3"
-importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""}
-itsdangerous = ">=2.1.2"
-Jinja2 = ">=3.1.2"
-Werkzeug = ">=3.0.0"
-
 [package.extras]
-async = ["asgiref (>=3.2)"]
-dotenv = ["python-dotenv"]
-
-[[package]]
-name = "flask-cors"
-version = "4.0.1"
-description = "A Flask extension adding a decorator for CORS support"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-Flask = ">=0.9"
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "globus-sdk"
@@ -1190,17 +1056,6 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
-[[package]]
-name = "graphql-core"
-version = "3.2.3"
-description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
-optional = false
-python-versions = ">=3.6,<4"
-files = [
-    {file = "graphql-core-3.2.3.tar.gz", hash = "sha256:06d2aad0ac723e35b1cb47885d3e5c45e956a53bc1b209a9fc5369007fe46676"},
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-]
-
 [[package]]
 name = "greenlet"
 version = "3.0.3"
@@ -1338,17 +1193,6 @@ files = [
 [package.dependencies]
 six = "*"
 
-[[package]]
-name = "itsdangerous"
-version = "2.1.2"
-description = "Safely pass data to untrusted environments and back."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
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-]
-
 [[package]]
 name = "jinja2"
 version = "3.1.4"
@@ -1366,6 +1210,17 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jmespath"
+version = "0.10.0"
+description = "JSON Matching Expressions"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "jmespath-0.10.0-py2.py3-none-any.whl", hash = "sha256:cdf6525904cc597730141d61b36f2e4b8ecc257c420fa2f4549bac2c2d0cb72f"},
+    {file = "jmespath-0.10.0.tar.gz", hash = "sha256:b85d0567b8666149a93172712e68920734333c0ce7e89b78b3e987f71e5ed4f9"},
+]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -1388,108 +1243,6 @@ files = [
     {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
-[[package]]
-name = "jschema-to-python"
-version = "1.2.3"
-description = "Generate source code for Python classes from a JSON schema."
-optional = false
-python-versions = ">= 2.7"
-files = [
-    {file = "jschema_to_python-1.2.3-py3-none-any.whl", hash = "sha256:8a703ca7604d42d74b2815eecf99a33359a8dccbb80806cce386d5e2dd992b05"},
-    {file = "jschema_to_python-1.2.3.tar.gz", hash = "sha256:76ff14fe5d304708ccad1284e4b11f96a658949a31ee7faed9e0995279549b91"},
-]
-
-[package.dependencies]
-attrs = "*"
-jsonpickle = "*"
-pbr = "*"
-
-[[package]]
-name = "jsondiff"
-version = "2.0.0"
-description = "Diff JSON and JSON-like structures in Python"
-optional = false
-python-versions = "*"
-files = [
-    {file = "jsondiff-2.0.0-py3-none-any.whl", hash = "sha256:689841d66273fc88fc79f7d33f4c074774f4f214b6466e3aff0e5adaf889d1e0"},
-    {file = "jsondiff-2.0.0.tar.gz", hash = "sha256:2795844ef075ec8a2b8d385c4d59f5ea48b08e7180fce3cb2787be0db00b1fb4"},
-]
-
-[[package]]
-name = "jsonpatch"
-version = "1.33"
-description = "Apply JSON-Patches (RFC 6902)"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
-files = [
-    {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
-    {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
-]
-
-[package.dependencies]
-jsonpointer = ">=1.9"
-
-[[package]]
-name = "jsonpickle"
-version = "3.0.3"
-description = "Python library for serializing any arbitrary object graph into JSON"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "jsonpickle-3.0.3-py3-none-any.whl", hash = "sha256:e8d6dcc58f6722bea0321cd328fbda81c582461185688a535df02be0f699afb4"},
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-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "sphinx"]
-testing = ["ecdsa", "feedparser", "gmpy2", "numpy", "pandas", "pymongo", "pytest (>=3.5,!=3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-ruff", "scikit-learn", "simplejson", "sqlalchemy", "ujson"]
-
-[[package]]
-name = "jsonpointer"
-version = "2.4"
-description = "Identify specific nodes in a JSON document (RFC 6901)"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
-files = [
-    {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
-]
-
-[[package]]
-name = "jsonschema"
-version = "3.2.0"
-description = "An implementation of JSON Schema validation for Python"
-optional = false
-python-versions = "*"
-files = [
-    {file = "jsonschema-3.2.0-py2.py3-none-any.whl", hash = "sha256:4e5b3cf8216f577bee9ce139cbe72eca3ea4f292ec60928ff24758ce626cd163"},
-    {file = "jsonschema-3.2.0.tar.gz", hash = "sha256:c8a85b28d377cc7737e46e2d9f2b4f44ee3c0e1deac6bf46ddefc7187d30797a"},
-]
-
-[package.dependencies]
-attrs = ">=17.4.0"
-pyrsistent = ">=0.14.0"
-setuptools = "*"
-six = ">=1.11.0"
-
-[package.extras]
-format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
-format-nongpl = ["idna", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "webcolors"]
-
-[[package]]
-name = "junit-xml"
-version = "1.9"
-description = "Creates JUnit XML test result documents that can be read by tools such as Jenkins"
-optional = false
-python-versions = "*"
-files = [
-    {file = "junit-xml-1.9.tar.gz", hash = "sha256:de16a051990d4e25a3982b2dd9e89d671067548718866416faec14d9de56db9f"},
-    {file = "junit_xml-1.9-py2.py3-none-any.whl", hash = "sha256:ec5ca1a55aefdd76d28fcc0b135251d156c7106fa979686a4b48d62b761b4732"},
-]
-
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "leather"
 version = "0.4.0"
@@ -1627,87 +1380,6 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
-[[package]]
-name = "moto"
-version = "4.2.6"
-description = ""
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "moto-4.2.6-py2.py3-none-any.whl", hash = "sha256:20cd41f89b7fe363ef49b9ead787c9a1f3d560f4d0711b3767e7416694de1127"},
-    {file = "moto-4.2.6.tar.gz", hash = "sha256:ce0a55d7e756c59a5a4392c7097aa5ca53e00aa2dd3f7000093356be15e7aef9"},
-]
-
-[package.dependencies]
-aws-xray-sdk = {version = ">=0.93,<0.96 || >0.96", optional = true, markers = "extra == \"server\""}
-boto3 = ">=1.9.201"
-botocore = ">=1.12.201"
-cfn-lint = {version = ">=0.40.0", optional = true, markers = "extra == \"server\""}
-cryptography = ">=3.3.1"
-docker = {version = ">=3.0.0", optional = true, markers = "extra == \"server\""}
-ecdsa = {version = "!=0.15", optional = true, markers = "extra == \"server\""}
-flask = {version = "<2.2.0 || >2.2.0,<2.2.1 || >2.2.1", optional = true, markers = "extra == \"server\""}
-flask-cors = {version = "*", optional = true, markers = "extra == \"server\""}
-graphql-core = {version = "*", optional = true, markers = "extra == \"server\""}
-Jinja2 = ">=2.10.1"
-jsondiff = {version = ">=1.1.2", optional = true, markers = "extra == \"server\""}
-openapi-spec-validator = {version = ">=0.2.8", optional = true, markers = "extra == \"server\""}
-py-partiql-parser = {version = "0.4.0", optional = true, markers = "extra == \"s3\" or extra == \"server\""}
-pyparsing = {version = ">=3.0.7", optional = true, markers = "extra == \"server\""}
-python-dateutil = ">=2.1,<3.0.0"
-python-jose = {version = ">=3.1.0,<4.0.0", extras = ["cryptography"], optional = true, markers = "extra == \"server\""}
-PyYAML = {version = ">=5.1", optional = true, markers = "extra == \"s3\" or extra == \"server\""}
-requests = ">=2.5"
-responses = ">=0.13.0"
-setuptools = {version = "*", optional = true, markers = "extra == \"server\""}
-sshpubkeys = {version = ">=3.1.0", optional = true, markers = "extra == \"server\""}
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-ssm = ["PyYAML (>=5.1)"]
-xray = ["aws-xray-sdk (>=0.93,!=0.96)", "setuptools"]
-
-[[package]]
-name = "mpmath"
-version = "1.3.0"
-description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = false
-python-versions = "*"
-files = [
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-[package.extras]
-develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
-docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
-tests = ["pytest (>=4.6)"]
-
 [[package]]
 name = "myst-parser"
 version = "2.0.0"
@@ -1734,24 +1406,6 @@ rtd = ["ipython", "pydata-sphinx-theme (==v0.13.0rc4)", "sphinx-autodoc2 (>=0.4.
 testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=7,<8)", "pytest-cov", "pytest-param-files (>=0.3.4,<0.4.0)", "pytest-regressions", "sphinx-pytest"]
 testing-docutils = ["pygments", "pytest (>=7,<8)", "pytest-param-files (>=0.3.4,<0.4.0)"]
 
-[[package]]
-name = "networkx"
-version = "3.1"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.8"
-files = [
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-[package.extras]
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-developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
-doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.13)", "sphinx (>=6.1)", "sphinx-gallery (>=0.12)", "texext (>=0.6.7)"]
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-test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
-
 [[package]]
 name = "numpy"
 version = "1.24.4"
@@ -1848,45 +1502,6 @@ files = [
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 tests = ["pytest", "pytest-cov"]
 
-[[package]]
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-version = "0.2.3"
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-optional = false
-python-versions = ">=3.7.0,<4.0.0"
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-
-[package.extras]
-isodate = ["isodate"]
-rfc3339-validator = ["rfc3339-validator"]
-strict-rfc3339 = ["strict-rfc3339"]
-
-[[package]]
-name = "openapi-spec-validator"
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-description = "OpenAPI 2.0 (aka Swagger) and OpenAPI 3.0 spec validator"
-optional = false
-python-versions = ">=3.7.0,<4.0.0"
-files = [
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-
-[package.extras]
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 [[package]]
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 version = "3.1.2"
@@ -2013,17 +1628,18 @@ files = [
 
 [[package]]
 name = "parsl"
-version = "2024.3.18"
+version = "2024.6.17"
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 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
 dill = "*"
+filelock = ">=3.13,<4"
 globus-sdk = "*"
 paramiko = "*"
 psutil = ">=5.5.1"
@@ -2035,7 +1651,7 @@ typeguard = ">=2.10,<3.dev0 || ==4.*"
 typing-extensions = ">=4.6,<5"
 
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+all = ["Flask (>=1.0.2)", "azure (<=4)", "boto3", "cffi", "flask-sqlalchemy", "google-api-python-client", "google-auth", "ipython (<=8.6.0)", "jsonschema", "kubernetes", "msrestazure", "nbsphinx", "networkx (>=2.5,<2.6)", "oauth-ssh (>=0.9)", "pandas (<2.2)", "plotly", "proxystore", "pydot", "python-daemon", "python-gssapi", "pyyaml", "radical.pilot (==1.60)", "radical.utils (==1.60)", "sphinx (>=7.1,<7.2)", "sphinx-rtd-theme", "sqlalchemy (>=1.4,<2)", "work-queue"]
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 azure = ["azure (<=4)", "msrestazure"]
 docs = ["ipython (<=8.6.0)", "nbsphinx", "sphinx (>=7.1,<7.2)", "sphinx-rtd-theme"]
@@ -2046,21 +1662,10 @@ kubernetes = ["kubernetes"]
 monitoring = ["sqlalchemy (>=1.4,<2)"]
 oauth-ssh = ["oauth-ssh (>=0.9)"]
 proxystore = ["proxystore"]
-radical-pilot = ["radical.pilot"]
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 visualization = ["Flask (>=1.0.2)", "flask-sqlalchemy", "networkx (>=2.5,<2.6)", "pandas (<2.2)", "plotly", "pydot", "python-daemon"]
 workqueue = ["work-queue"]
 
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 [[package]]
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 version = "1.4.0"
@@ -2124,67 +1729,53 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
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-description = "Pure Python PartiQL Parser"
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 [[package]]
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 name = "requests"
 version = "2.31.0"
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
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-version = "0.25.0"
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-
 [[package]]
 name = "rsa"
 version = "4.9"
@@ -2930,6 +2190,20 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "s3transfer"
+version = "0.1.13"
+description = "An Amazon S3 Transfer Manager"
+optional = false
+python-versions = "*"
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+
 [[package]]
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 version = "0.10.1"
@@ -2947,21 +2221,6 @@ botocore = ">=1.33.2,<2.0a.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
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 pymysql = ["pymysql", "pymysql (<1)"]
 sqlcipher = ["sqlcipher3_binary"]
 
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-    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
-    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
-]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "xlrd"
@@ -3686,17 +2802,6 @@ build = ["twine", "wheel"]
 docs = ["sphinx"]
 test = ["pytest", "pytest-cov"]
 
-[[package]]
-name = "xmltodict"
-version = "0.13.0"
-description = "Makes working with XML feel like you are working with JSON"
-optional = false
-python-versions = ">=3.4"
-files = [
-    {file = "xmltodict-0.13.0-py2.py3-none-any.whl", hash = "sha256:aa89e8fd76320154a40d19a0df04a4695fb9dc5ba977cbb68ab3e4eb225e7852"},
-    {file = "xmltodict-0.13.0.tar.gz", hash = "sha256:341595a488e3e01a85a9d8911d8912fd922ede5fecc4dce437eb4b6c8d037e56"},
-]
-
 [[package]]
 name = "zipp"
 version = "3.18.1"
@@ -3715,4 +2820,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8,<3.13"
-content-hash = "f5c8719d14f5f3d94e5c4a4950d23b6d75e5b33ab5e03f3e3dee96b025bf95fa"
+content-hash = "1e310547e62afb777760b7818bc2303dd12b408f7f474929f1feaa568c82bf6c"
diff --git a/pyproject.toml b/pyproject.toml
index a809cc93..7a37588a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,7 +25,7 @@ build-backend = "poetry_dynamic_versioning.backend"
 [tool.poetry.dependencies]
 python = ">=3.8,<3.13"
 pyarrow = ">=13.0.0"
-cloudpathlib = {extras = ["all"], version = "^0.18.0"}
+cloudpathlib = {extras = ["all", "s3"], version = "^0.18.0"}
 duckdb = ">=0.8.0,!=0.10.0,>=0.10.1"
 parsl = ">=2023.9.25"
 numpy = [
@@ -43,7 +43,6 @@ pytest-cov = "^4.1.0"
 Sphinx = "^6.0.0"
 myst-parser = "^2.0.0"
 sphinxcontrib-mermaid = "^0.9.0"
-moto = {extras = ["s3", "server"], version = "^4.0.0"}
 cytominer-database = "^0.3.4"
 pycytominer = "^1.1.0"
 dunamai = "^1.19.0"
@@ -69,3 +68,6 @@ filterwarnings = [
   "ignore::DeprecationWarning:pkg_resources",
   "ignore::DeprecationWarning:cytominer_database",
 ]
+markers = [
+    "large_data_tests: tests which involve the use of large data.",
+]
diff --git a/tests/conftest.py b/tests/conftest.py
index 8323af21..43d1fbe5 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -6,22 +6,16 @@
 
 import pathlib
 import shutil
-import socket
 import sqlite3
 import subprocess
 import tempfile
-from contextlib import closing
 from typing import Any, Dict, Generator, List, Tuple
 
-import boto3
-import boto3.session
 import duckdb
 import pandas as pd
 import parsl
 import pyarrow as pa
 import pytest
-from moto import mock_s3
-from moto.server import ThreadedMotoServer
 from parsl.config import Config
 from parsl.executors import ThreadPoolExecutor
 from pyarrow import csv, parquet
@@ -58,10 +52,6 @@ def fixture_load_parsl_threaded(clear_parsl_config: None) -> None:
 
     See the following for more details.
     https://parsl.readthedocs.io/en/stable/stubs/parsl.executors.ThreadPoolExecutor.html
-
-    Note: we use the threadpoolexecutor in some occasions to avoid issues
-    with multiprocessing in moto / mocked S3 environments.
-    See here for more: https://docs.getmoto.org/en/latest/docs/faq.html#is-moto-concurrency-safe
     """
 
     parsl.load(
@@ -149,9 +139,12 @@ def fixture_data_dir_in_carta() -> List[str]:
     return [f"{pathlib.Path(__file__).parent}/data/in-carta/colas-lab"]
 
 
-@pytest.fixture(name="cytominerdatabase_sqlite")
+# skip this fixture to avoid issues with ubuntu 22.04 and CLI usage of
+# cytominer-database. Use instead fixture cytominerdatabase_sqlite_static.
+@pytest.mark.skip
+@pytest.fixture(name="cytominerdatabase_sqlite", scope="function")
 def fixture_cytominerdatabase_sqlite(
-    fx_tempdir: str,
+    tmp_path: str,
     data_dirs_cytominerdatabase: List[str],
 ) -> List[str]:
     """
@@ -162,11 +155,11 @@ def fixture_cytominerdatabase_sqlite(
     for data_dir in data_dirs_cytominerdatabase:
         # example command for reference as subprocess below
         # cytominer-database ingest source_directory sqlite:///backend.sqlite -c ingest_config.ini
-        output_path = f"sqlite:///{fx_tempdir}/{pathlib.Path(data_dir).name}.sqlite"
+        output_path = f"sqlite:///{data_dir}/{pathlib.Path(data_dir).name}.sqlite"
 
         # run cytominer-database as command-line call
         subprocess.call(
-            [
+            args=[
                 "cytominer-database",
                 "ingest",
                 data_dir,
@@ -175,16 +168,29 @@ def fixture_cytominerdatabase_sqlite(
                 f"{data_dir}/config_SQLite.ini",
             ]
         )
+
         # store the sqlite output file within list to be returned
         output_paths.append(output_path)
 
     return output_paths
 
 
+@pytest.fixture(name="cytominerdatabase_sqlite_static", scope="function")
+def fixture_cytominerdatabase_sqlite_static():
+    """
+    Fixture for returning pre-created cytominer-database SQLite files which
+    align to what was created from fixture_cytominerdatabase_sqlite.
+    """
+    return [
+        f"sqlite:///{pathlib.Path(__file__).parent.resolve()}/data/cytominer-database/data_a_sqlite/data_a.sqlite",
+        f"sqlite:///{pathlib.Path(__file__).parent.resolve()}/data/cytominer-database/data_b_sqlite/data_b.sqlite",
+    ]
+
+
 @pytest.fixture()
 def cytominerdatabase_to_pycytominer_merge_single_cells_parquet(
     fx_tempdir: str,
-    cytominerdatabase_sqlite: List[str],
+    cytominerdatabase_sqlite_static: List[str],
 ) -> List[str]:
     """
     Processed cytominer-database test sqlite data as
@@ -192,7 +198,7 @@ def cytominerdatabase_to_pycytominer_merge_single_cells_parquet(
     """
 
     output_paths = []
-    for sqlite_file in cytominerdatabase_sqlite:
+    for sqlite_file in cytominerdatabase_sqlite_static:
         # build SingleCells from database and merge single cells into parquet file
         output_paths.append(
             SingleCells(
@@ -629,108 +635,6 @@ def fixture_cytominerdatabase_merged_cellhealth(
     return control_result
 
 
-@pytest.fixture(scope="session", name="infer_open_port")
-def fixture_infer_open_port() -> int:
-    """
-    Infers an open port for use with tests.
-    """
-
-    # Referenced with modifications from https://stackoverflow.com/a/45690594/22216869.
-    # Note: this implementation opens, temporarily uses an available port, and returns
-    # that same port for use in tests. The contextlib.closing context relieves the use
-    # of the returned available port.
-
-    # Context for a socket which is opened and automatically closed
-    # using family=AF_INET (internet address family socket default)
-    # and type=SOCK_STREAM (a socket stream)
-    with closing(
-        socket.socket(family=socket.AF_INET, type=socket.SOCK_STREAM)
-    ) as open_socket:
-        # Bind the socket to address of format (hostname, port),
-        # in this case, localhost and port 0.
-        # Using 0 indicates to use an available open port for this work.
-        # see: https://docs.python.org/3/library/socket.html#socket-families
-        open_socket.bind(("localhost", 0))
-
-        # Set the value of 1 to SO_REUSEADDR as a socket option.
-        # see bottom of: https://docs.python.org/3/library/socket.html
-        # "The SO_REUSEADDR flag tells the kernel to reuse a local socket in TIME_WAIT state,
-        #  without waiting for its natural timeout to expire."
-        open_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
-
-        # Return the port value of the socket address of format (hostname, port).
-        return open_socket.getsockname()[1]
-
-
-@pytest.fixture(scope="session", name="s3_session")
-def fixture_s3_session(
-    infer_open_port: int,
-) -> Generator[Tuple[boto3.session.Session, int], None, None]:
-    """
-    Yield a mocked boto session for s3 tests.
-    Return includes port related to session.
-
-    Referenced from:
-    https://docs.getmoto.org/en/latest/docs/getting_started.html
-    and
-    https://docs.getmoto.org/en/latest/docs/server_mode.html#start-within-python
-    """
-
-    # start a moto server for use in testing
-    server = ThreadedMotoServer(port=infer_open_port)
-    server.start()
-
-    with mock_s3():
-        yield boto3.session.Session(), infer_open_port
-
-
-@pytest.fixture()
-def example_s3_endpoint(
-    s3_session: Tuple[boto3.session.Session, int],
-    example_local_sources: Dict[str, List[Dict[str, Any]]],
-    data_dir_cellprofiler_sqlite_nf1: str,
-) -> str:
-    """
-    Create an mocked bucket which includes example sources
-
-    Referenced with changes from:
-    https://docs.getmoto.org/en/latest/docs/getting_started.html
-    """
-    # s3 is a fixture defined above that yields a boto3 s3 client.
-    endpoint_url = f"http://localhost:{s3_session[1]}"
-    bucket_name = "example"
-
-    # create s3 client
-    s3_client = s3_session[0].client("s3", endpoint_url=endpoint_url)
-
-    # create a bucket for content to land in
-    s3_client.create_bucket(Bucket=bucket_name)
-
-    # upload each example file to the mock bucket
-    for source_path in [
-        source["source_path"]
-        for group in example_local_sources.values()
-        for source in group
-    ]:
-        s3_client.upload_file(
-            Filename=str(source_path),
-            Bucket=bucket_name,
-            # mock nested directory structure within bucket per each file's parent
-            Key=f"{source_path.parent.name}/{source_path.name}",
-        )
-
-    # upload sqlite example
-    s3_client.upload_file(
-        Filename=data_dir_cellprofiler_sqlite_nf1,
-        Bucket=bucket_name,
-        # mock nested directory structure within bucket
-        Key=f"nf1/{pathlib.Path(data_dir_cellprofiler_sqlite_nf1).name}",
-    )
-
-    # return endpoint url for use in testing
-    return endpoint_url
-
-
 @pytest.fixture()
 def example_sqlite_mixed_types_database(
     fx_tempdir: str,
@@ -792,3 +696,32 @@ def example_sqlite_mixed_types_database(
     finally:
         # after completing the tests, remove the file
         pathlib.Path(filepath).unlink()
+
+
+@pytest.fixture(name="example_s3_path_csv_jump")
+def fixture_example_s3_path_csv_jump() -> str:
+    """
+    Provides an example s3 endpoint for use with tests.
+
+    This points to an object storage directory which includes CSV files
+    related to processing within CytoTable. For example, image.csv,
+    nuclei.csv, cytoplasm.csv, cells.csv, etc.
+    """
+
+    return (
+        "s3://cellpainting-gallery/cpg0000-jump-pilot/source_4/"
+        "workspace/analysis/2020_11_04_CPJUMP1/BR00116991/analysis/BR00116991-A01-1"
+    )
+
+
+@pytest.fixture(scope="session", name="example_s3_path_sqlite_jump")
+def fixture_example_s3_path() -> str:
+    """
+    Provides an example s3 endpoint for use with tests
+    """
+
+    return (
+        "s3://cellpainting-gallery/cpg0016-jump/source_4/"
+        "workspace/backend/2021_08_23_Batch12/BR00126114"
+        "/BR00126114.sqlite"
+    )
diff --git a/tests/data/cytominer-database/data_a/1/Cells.csv b/tests/data/cytominer-database/data_a/1/Cells.csv
new file mode 100644
index 00000000..96f6f11b
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/1/Cells.csv
@@ -0,0 +1,21 @@
+ImageNumber,ObjectNumber,AreaShape_Area,AreaShape_Center_X,AreaShape_Center_Y,AreaShape_Compactness,AreaShape_Eccentricity,AreaShape_EulerNumber,AreaShape_Extent,AreaShape_FormFactor,AreaShape_MajorAxisLength,AreaShape_MaxFeretDiameter,AreaShape_MaximumRadius,AreaShape_MeanRadius,AreaShape_MedianRadius,AreaShape_MinFeretDiameter,AreaShape_MinorAxisLength,AreaShape_Orientation,AreaShape_Perimeter,AreaShape_Solidity,AreaShape_Zernike_0_0,AreaShape_Zernike_1_1,AreaShape_Zernike_2_0,AreaShape_Zernike_2_2,AreaShape_Zernike_3_1,AreaShape_Zernike_3_3,AreaShape_Zernike_4_0,AreaShape_Zernike_4_2,AreaShape_Zernike_4_4,AreaShape_Zernike_5_1,AreaShape_Zernike_5_3,AreaShape_Zernike_5_5,AreaShape_Zernike_6_0,AreaShape_Zernike_6_2,AreaShape_Zernike_6_4,AreaShape_Zernike_6_6,AreaShape_Zernike_7_1,AreaShape_Zernike_7_3,AreaShape_Zernike_7_5,AreaShape_Zernike_7_7,AreaShape_Zernike_8_0,AreaShape_Zernike_8_2,AreaShape_Zernike_8_4,AreaShape_Zernike_8_6,AreaShape_Zernike_8_8,AreaShape_Zernike_9_1,AreaShape_Zernike_9_3,AreaShape_Zernike_9_5,AreaShape_Zernike_9_7,AreaShape_Zernike_9_9,Children_Cytoplasm_Count,Correlation_Correlation_Alexa568_Alexa568,Correlation_Correlation_Alexa568_CellMask,Correlation_Correlation_CellMask_Alexa568,Correlation_Correlation_Hoechst_Alexa568,Correlation_Correlation_Hoechst_CellMask,Intensity_IntegratedIntensityEdge_Alexa568,Intensity_IntegratedIntensityEdge_CellMask,Intensity_IntegratedIntensityEdge_Hoechst,Intensity_IntegratedIntensity_Alexa568,Intensity_IntegratedIntensity_CellMask,Intensity_IntegratedIntensity_Hoechst,Intensity_LowerQuartileIntensity_Alexa568,Intensity_LowerQuartileIntensity_CellMask,Intensity_LowerQuartileIntensity_Hoechst,Intensity_MADIntensity_Alexa568,Intensity_MADIntensity_CellMask,Intensity_MADIntensity_Hoechst,Intensity_MassDisplacement_Alexa568,Intensity_MassDisplacement_CellMask,Intensity_MassDisplacement_Hoechst,Intensity_MaxIntensityEdge_Alexa568,Intensity_MaxIntensityEdge_CellMask,Intensity_MaxIntensityEdge_Hoechst,Intensity_MaxIntensity_Alexa568,Intensity_MaxIntensity_CellMask,Intensity_MaxIntensity_Hoechst,Intensity_MeanIntensityEdge_Alexa568,Intensity_MeanIntensityEdge_CellMask,Intensity_MeanIntensityEdge_Hoechst,Intensity_MeanIntensity_Alexa568,Intensity_MeanIntensity_CellMask,Intensity_MeanIntensity_Hoechst,Intensity_MedianIntensity_Alexa568,Intensity_MedianIntensity_CellMask,Intensity_MedianIntensity_Hoechst,Intensity_MinIntensityEdge_Alexa568,Intensity_MinIntensityEdge_CellMask,Intensity_MinIntensityEdge_Hoechst,Intensity_MinIntensity_Alexa568,Intensity_MinIntensity_CellMask,Intensity_MinIntensity_Hoechst,Intensity_StdIntensityEdge_Alexa568,Intensity_StdIntensityEdge_CellMask,Intensity_StdIntensityEdge_Hoechst,Intensity_StdIntensity_Alexa568,Intensity_StdIntensity_CellMask,Intensity_StdIntensity_Hoechst,Intensity_UpperQuartileIntensity_Alexa568,Intensity_UpperQuartileIntensity_CellMask,Intensity_UpperQuartileIntensity_Hoechst,Location_CenterMassIntensity_X_Alexa568,Location_CenterMassIntensity_X_CellMask,Location_CenterMassIntensity_X_Hoechst,Location_CenterMassIntensity_Y_Alexa568,Location_CenterMassIntensity_Y_CellMask,Location_CenterMassIntensity_Y_Hoechst,Location_Center_X,Location_Center_Y,Location_MaxIntensity_X_Alexa568,Location_MaxIntensity_X_CellMask,Location_MaxIntensity_X_Hoechst,Location_MaxIntensity_Y_Alexa568,Location_MaxIntensity_Y_CellMask,Location_MaxIntensity_Y_Hoechst,Neighbors_AngleBetweenNeighbors_5,Neighbors_AngleBetweenNeighbors_Adjacent,Neighbors_FirstClosestDistance_5,Neighbors_FirstClosestDistance_Adjacent,Neighbors_FirstClosestObjectNumber_5,Neighbors_FirstClosestObjectNumber_Adjacent,Neighbors_NumberOfNeighbors_5,Neighbors_NumberOfNeighbors_Adjacent,Neighbors_PercentTouching_5,Neighbors_PercentTouching_Adjacent,Neighbors_SecondClosestDistance_5,Neighbors_SecondClosestDistance_Adjacent,Neighbors_SecondClosestObjectNumber_5,Neighbors_SecondClosestObjectNumber_Adjacent,Number_Object_Number,Parent_AllNuclei,Parent_Nuclei,RadialDistribution_FracAtD_Alexa568_1of4,RadialDistribution_FracAtD_Alexa568_2of4,RadialDistribution_FracAtD_Alexa568_3of4,RadialDistribution_FracAtD_Alexa568_4of4,RadialDistribution_FracAtD_CellMask_1of4,RadialDistribution_FracAtD_CellMask_2of4,RadialDistribution_FracAtD_CellMask_3of4,RadialDistribution_FracAtD_CellMask_4of4,RadialDistribution_FracAtD_Hoechst_1of4,RadialDistribution_FracAtD_Hoechst_2of4,RadialDistribution_FracAtD_Hoechst_3of4,RadialDistribution_FracAtD_Hoechst_4of4,RadialDistribution_MeanFrac_Alexa568_1of4,RadialDistribution_MeanFrac_Alexa568_2of4,RadialDistribution_MeanFrac_Alexa568_3of4,RadialDistribution_MeanFrac_Alexa568_4of4,RadialDistribution_MeanFrac_CellMask_1of4,RadialDistribution_MeanFrac_CellMask_2of4,RadialDistribution_MeanFrac_CellMask_3of4,RadialDistribution_MeanFrac_CellMask_4of4,RadialDistribution_MeanFrac_Hoechst_1of4,RadialDistribution_MeanFrac_Hoechst_2of4,RadialDistribution_MeanFrac_Hoechst_3of4,RadialDistribution_MeanFrac_Hoechst_4of4,RadialDistribution_RadialCV_Alexa568_1of4,Radia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diff --git a/tests/data/cytominer-database/data_a/1/Cytoplasm.csv b/tests/data/cytominer-database/data_a/1/Cytoplasm.csv
new file mode 100644
index 00000000..ff4e6045
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/1/Cytoplasm.csv
@@ -0,0 +1,21 @@
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diff --git a/tests/data/cytominer-database/data_a/1/Nuclei.csv b/tests/data/cytominer-database/data_a/1/Nuclei.csv
new file mode 100644
index 00000000..fd2335ec
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/1/Nuclei.csv
@@ -0,0 +1,21 @@
+ImageNumber,ObjectNumber,AreaShape_Area,AreaShape_Center_X,AreaShape_Center_Y,AreaShape_Compactness,AreaShape_Eccentricity,AreaShape_EulerNumber,AreaShape_Extent,AreaShape_FormFactor,AreaShape_MajorAxisLength,AreaShape_MaxFeretDiameter,AreaShape_MaximumRadius,AreaShape_MeanRadius,AreaShape_MedianRadius,AreaShape_MinFeretDiameter,AreaShape_MinorAxisLength,AreaShape_Orientation,AreaShape_Perimeter,AreaShape_Solidity,AreaShape_Zernike_0_0,AreaShape_Zernike_1_1,AreaShape_Zernike_2_0,AreaShape_Zernike_2_2,AreaShape_Zernike_3_1,AreaShape_Zernike_3_3,AreaShape_Zernike_4_0,AreaShape_Zernike_4_2,AreaShape_Zernike_4_4,AreaShape_Zernike_5_1,AreaShape_Zernike_5_3,AreaShape_Zernike_5_5,AreaShape_Zernike_6_0,AreaShape_Zernike_6_2,AreaShape_Zernike_6_4,AreaShape_Zernike_6_6,AreaShape_Zernike_7_1,AreaShape_Zernike_7_3,AreaShape_Zernike_7_5,AreaShape_Zernike_7_7,AreaShape_Zernike_8_0,AreaShape_Zernike_8_2,AreaShape_Zernike_8_4,AreaShape_Zernike_8_6,AreaShape_Zernike_8_8,AreaShape_Zernike_9_1,AreaShape_Zernike_9_3,AreaShape_Zernike_9_5,AreaShape_Zernike_9_7,AreaShape_Zernike_9_9,Children_Cells_Count,Children_Cytoplasm_Count,Correlation_Correlation_Alexa568_Alexa568,Correlation_Correlation_Alexa568_CellMask,Correlation_Correlation_CellMask_Alexa568,Correlation_Correlation_Hoechst_Alexa568,Correlation_Correlation_Hoechst_CellMask,Intensity_IntegratedIntensityEdge_Alexa568,Intensity_IntegratedIntensityEdge_CellMask,Intensity_IntegratedIntensityEdge_Hoechst,Intensity_IntegratedIntensity_Alexa568,Intensity_IntegratedIntensity_CellMask,Intensity_IntegratedIntensity_Hoechst,Intensity_LowerQuartileIntensity_Alexa568,Intensity_LowerQuartileIntensity_CellMask,Intensity_LowerQuartileIntensity_Hoechst,Intensity_MADIntensity_Alexa568,Intensity_MADIntensity_CellMask,Intensity_MADIntensity_Hoechst,Intensity_MassDisplacement_Alexa568,Intensity_MassDisplacement_CellMask,Intensity_MassDisplacement_Hoechst,Intensity_MaxIntensityEdge_Alexa568,Intensity_MaxIntensityEdge_CellMask,Intensity_MaxIntensityEdge_Hoechst,Intensity_MaxIntensity_Alexa568,Intensity_MaxIntensity_CellMask,Intensity_MaxIntensity_Hoechst,Intensity_MeanIntensityEdge_Alexa568,Intensity_MeanIntensityEdge_CellMask,Intensity_MeanIntensityEdge_Hoechst,Intensity_MeanIntensity_Alexa568,Intensity_MeanIntensity_CellMask,Intensity_MeanIntensity_Hoechst,Intensity_MedianIntensity_Alexa568,Intensity_MedianIntensity_CellMask,Intensity_MedianIntensity_Hoechst,Intensity_MinIntensityEdge_Alexa568,Intensity_MinIntensityEdge_CellMask,Intensity_MinIntensityEdge_Hoechst,Intensity_MinIntensity_Alexa568,Intensity_MinIntensity_CellMask,Intensity_MinIntensity_Hoechst,Intensity_StdIntensityEdge_Alexa568,Intensity_StdIntensityEdge_CellMask,Intensity_StdIntensityEdge_Hoechst,Intensity_StdIntensity_Alexa568,Intensity_StdIntensity_CellMask,Intensity_StdIntensity_Hoechst,Intensity_UpperQuartileIntensity_Alexa568,Intensity_UpperQuartileIntensity_CellMask,Intensity_UpperQuartileIntensity_Hoechst,Location_CenterMassIntensity_X_Alexa568,Location_CenterMassIntensity_X_CellMask,Location_CenterMassIntensity_X_Hoechst,Location_CenterMassIntensity_Y_Alexa568,Location_CenterMassIntensity_Y_CellMask,Location_CenterMassIntensity_Y_Hoechst,Location_Center_X,Location_Center_Y,Location_MaxIntensity_X_Alexa568,Location_MaxIntensity_X_CellMask,Location_MaxIntensity_X_Hoechst,Location_MaxIntensity_Y_Alexa568,Location_MaxIntensity_Y_CellMask,Location_MaxIntensity_Y_Hoechst,Neighbors_AngleBetweenNeighbors_1,Neighbors_FirstClosestDistance_1,Neighbors_FirstClosestObjectNumber_1,Neighbors_NumberOfNeighbors_1,Neighbors_PercentTouching_1,Neighbors_SecondClosestDistance_1,Neighbors_SecondClosestObjectNumber_1,Number_Object_Number,Parent_AllNuclei,RadialDistribution_FracAtD_Alexa568_1of4,RadialDistribution_FracAtD_Alexa568_2of4,RadialDistribution_FracAtD_Alexa568_3of4,RadialDistribution_FracAtD_Alexa568_4of4,RadialDistribution_FracAtD_CellMask_1of4,RadialDistribution_FracAtD_CellMask_2of4,RadialDistribution_FracAtD_CellMask_3of4,RadialDistribution_FracAtD_CellMask_4of4,RadialDistribution_FracAtD_Hoechst_1of4,RadialDistribution_FracAtD_Hoechst_2of4,RadialDistribution_FracAtD_Hoechst_3of4,RadialDistribution_FracAtD_Hoechst_4of4,RadialDistribution_MeanFrac_Alexa568_1of4,RadialDistribution_MeanFrac_Alexa568_2of4,RadialDistribution_MeanFrac_Alexa568_3of4,RadialDistribution_MeanFrac_Alexa568_4of4,RadialDistribution_MeanFrac_CellMask_1of4,RadialDistribution_MeanFrac_CellMask_2of4,RadialDistribution_MeanFrac_CellMask_3of4,RadialDistribution_MeanFrac_CellMask_4of4,RadialDistribution_MeanFrac_Hoechst_1of4,RadialDistribution_MeanFrac_Hoechst_2of4,RadialDistribution_MeanFrac_Hoechst_3of4,RadialDistribution_MeanFrac_Hoechst_4of4,RadialDistribution_RadialCV_Alexa568_1of4,RadialDistribution_RadialCV_Alexa568_2of4,RadialDistribution_RadialCV_Alexa568_3of4,RadialDistribution_RadialCV_Alexa568_4of4,RadialDistribution_RadialCV_CellMask_1of4,RadialDistribution_RadialCV_CellMask_2of4,RadialDistribution_RadialCV_CellMask_3of4,RadialDistribution_RadialCV_C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diff --git a/tests/data/cytominer-database/data_a/2/Cells.csv b/tests/data/cytominer-database/data_a/2/Cells.csv
new file mode 100644
index 00000000..8eaeebcc
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/2/Cells.csv
@@ -0,0 +1,21 @@
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diff --git a/tests/data/cytominer-database/data_a/2/Cytoplasm.csv b/tests/data/cytominer-database/data_a/2/Cytoplasm.csv
new file mode 100644
index 00000000..5269eb73
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/2/Cytoplasm.csv
@@ -0,0 +1,21 @@
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diff --git a/tests/data/cytominer-database/data_a/2/Nuclei.csv b/tests/data/cytominer-database/data_a/2/Nuclei.csv
new file mode 100644
index 00000000..1aebb059
--- /dev/null
+++ b/tests/data/cytominer-database/data_a/2/Nuclei.csv
@@ -0,0 +1,21 @@
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literal 0
HcmV?d00001

diff --git a/tests/test_convert.py b/tests/test_convert.py
index f221ff10..ead14dcb 100644
--- a/tests/test_convert.py
+++ b/tests/test_convert.py
@@ -594,17 +594,14 @@ def test_infer_source_datatype(
         "sample_1.csv": [{"source_path": "stub"}],
         "sample_2.CSV": [{"source_path": "stub"}],
     }
-    assert _infer_source_datatype(sources=data).result() == "csv"
+    assert _infer_source_datatype(sources=data) == "csv"
     with pytest.raises(Exception):
-        _infer_source_datatype(sources=data, source_datatype="parquet").result()
+        _infer_source_datatype(sources=data, source_datatype="parquet")
 
     data["sample_3.parquet"] = [{"source_path": "stub"}]
-    assert (
-        _infer_source_datatype(sources=data, source_datatype="parquet").result()
-        == "parquet"
-    )
+    assert _infer_source_datatype(sources=data, source_datatype="parquet") == "parquet"
     with pytest.raises(Exception):
-        _infer_source_datatype(sources=data).result()
+        _infer_source_datatype(sources=data)
 
 
 def test_to_parquet(
@@ -751,9 +748,11 @@ def test_convert_cytominerdatabase_csv(
     csvs from cytominer-database to pycytominer merge_single_cells
     """
 
-    for cytominerdatabase_dir, pycytominer_merge_dir in zip(
-        data_dirs_cytominerdatabase,
-        cytominerdatabase_to_pycytominer_merge_single_cells_parquet,
+    for idx, (cytominerdatabase_dir, pycytominer_merge_dir) in enumerate(
+        zip(
+            data_dirs_cytominerdatabase,
+            cytominerdatabase_to_pycytominer_merge_single_cells_parquet,
+        )
     ):
         # load control table, dropping tablenumber
         # and unlabeled objectnumber (no compartment specified)
@@ -780,7 +779,8 @@ def test_convert_cytominerdatabase_csv(
             source=convert(
                 source_path=cytominerdatabase_dir,
                 dest_path=(
-                    f"{fx_tempdir}/{pathlib.Path(cytominerdatabase_dir).name}.test_table.parquet"
+                    f"{fx_tempdir}/"
+                    f"{pathlib.Path(cytominerdatabase_dir).name}.test_table_{idx}.parquet"
                 ),
                 dest_datatype="parquet",
                 source_datatype="csv",
diff --git a/tests/test_convert_threaded.py b/tests/test_convert_threaded.py
index 87f44437..baac08bd 100644
--- a/tests/test_convert_threaded.py
+++ b/tests/test_convert_threaded.py
@@ -6,14 +6,11 @@
 
 
 import pathlib
-from typing import Any, Dict, List, cast
 
-import parsl
+import pandas as pd
 import pyarrow as pa
 import pyarrow.compute as pc
 import pytest
-from parsl.config import Config
-from parsl.executors import ThreadPoolExecutor
 from pyarrow import parquet
 
 from cytotable.convert import convert
@@ -54,69 +51,35 @@ def test_convert_tpe_cellprofiler_csv(
     assert test_result.shape == control_result.shape
     assert test_result.equals(control_result)
 
-    # clean up the parsl config for other tests
-    parsl.clear()
-
 
 def test_convert_s3_path_csv(
-    load_parsl_threaded: None,
-    fx_tempdir: str,
-    example_local_sources: Dict[str, List[Dict[str, Any]]],
-    example_s3_endpoint: str,
+    load_parsl_threaded: None, fx_tempdir: str, example_s3_path_csv_jump: str
 ):
     """
     Tests convert with mocked csv s3 object storage endpoint
     """
 
-    multi_dir_nonconcat_s3_result = convert(
-        source_path="s3://example/",
+    s3_result = convert(
+        source_path=example_s3_path_csv_jump,
         dest_path=f"{fx_tempdir}/s3_test",
         dest_datatype="parquet",
-        concat=False,
-        join=False,
-        joins=None,
         source_datatype="csv",
-        compartments=["cytoplasm", "cells"],
-        metadata=["image"],
-        identifying_columns=["imagenumber"],
-        # endpoint_url here will be used with cloudpathlib client(**kwargs)
-        endpoint_url=example_s3_endpoint,
-        parsl_config=Config(
-            executors=[
-                ThreadPoolExecutor(
-                    label="tpe_for_cytotable_testing_moto_s3",
-                )
-            ]
-        ),
+        preset="cellprofiler_csv",
+        no_sign_request=True,
     )
 
-    # compare each of the results using files from the source
-    for control_path, test_path in zip(
-        [
-            source["table"]
-            for group in cast(Dict, multi_dir_nonconcat_s3_result).values()
-            for source in group
-        ],
-        [
-            source["table"]
-            for group in example_local_sources.values()
-            for source in group
-        ],
-    ):
-        parquet_control = parquet.ParquetDataset(path_or_paths=control_path).read()
-        parquet_result = parquet.ParquetDataset(
-            path_or_paths=test_path, schema=parquet_control.schema
-        ).read()
-
-        assert parquet_result.schema.equals(parquet_control.schema)
-        assert parquet_result.shape == parquet_control.shape
-
-
-def test_convert_s3_path_sqlite(
+    # read only the metadata from parquet file
+    parquet_file_meta = parquet.ParquetFile(s3_result).metadata
+
+    # check the shape of the data
+    assert (parquet_file_meta.num_rows, parquet_file_meta.num_columns) == (109, 5794)
+
+
+@pytest.mark.large_data_tests
+def test_convert_s3_path_sqlite_join(
     load_parsl_threaded: None,
     fx_tempdir: str,
-    data_dir_cellprofiler_sqlite_nf1: str,
-    example_s3_endpoint: str,
+    example_s3_path_sqlite_jump: str,
 ):
     """
     Tests convert with mocked sqlite s3 object storage endpoint
@@ -125,72 +88,55 @@ def test_convert_s3_path_sqlite(
     race conditions with nested pytest fixture post-yield deletions.
     """
 
-    # local sqlite read
-    local_cytotable_table = parquet.read_table(
-        source=convert(
-            source_path=data_dir_cellprofiler_sqlite_nf1,
-            dest_path=(
-                f"{fx_tempdir}/{pathlib.Path(data_dir_cellprofiler_sqlite_nf1).name}"
-                ".cytotable.local.parquet"
-            ),
-            dest_datatype="parquet",
-            chunk_size=100,
-            preset="cellprofiler_sqlite_pycytominer",
-        )
+    s3_result = convert(
+        source_path=example_s3_path_sqlite_jump,
+        dest_path=f"{fx_tempdir}/s3_test",
+        dest_datatype="parquet",
+        source_datatype="sqlite",
+        # set chunk size to amount which operates within
+        # github actions runner images and related resource constraints.
+        chunk_size=30000,
+        preset="cellprofiler_sqlite_cpg0016_jump",
+        no_sign_request=True,
+        # use explicit cache to avoid temp cache removal / overlaps with
+        # sequential s3 SQLite files. See below for more information
+        # https://cloudpathlib.drivendata.org/stable/caching/#automatically
+        local_cache_dir=f"{fx_tempdir}/sqlite_s3_cache/2",
+        # note: we use a custom join to limit the
+        # data processing required within the context
+        # of GitHub Actions runner image resources.
+        joins="""
+            SELECT
+                image.Image_TableNumber,
+                image.Metadata_ImageNumber,
+                image.Metadata_Plate,
+                image.Metadata_Well,
+                image.Image_Metadata_Site,
+                image.Image_Metadata_Row,
+                cytoplasm.* EXCLUDE (Metadata_ImageNumber),
+                cells.* EXCLUDE (Metadata_ImageNumber),
+                nuclei.* EXCLUDE (Metadata_ImageNumber)
+            FROM
+                (SELECT * FROM read_parquet('cytoplasm.parquet') LIMIT 5000) AS cytoplasm
+            LEFT JOIN (SELECT * FROM read_parquet('cells.parquet') LIMIT 5000) AS cells ON
+                cells.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+                AND cells.Metadata_ObjectNumber = cytoplasm.Cytoplasm_Parent_Cells
+            LEFT JOIN (SELECT * FROM read_parquet('nuclei.parquet') LIMIT 5000) AS nuclei ON
+                nuclei.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+                AND nuclei.Metadata_ObjectNumber = cytoplasm.Cytoplasm_Parent_Nuclei
+            LEFT JOIN (SELECT * FROM read_parquet('image.parquet') LIMIT 5000) AS image ON
+                image.Metadata_ImageNumber = cytoplasm.Metadata_ImageNumber
+        """,
     )
 
-    # s3 sqlite read with single and directly referenced file
-    s3_cytotable_table = parquet.read_table(
-        source=convert(
-            source_path=f"s3://example/nf1/{pathlib.Path(data_dir_cellprofiler_sqlite_nf1).name}",
-            dest_path=(
-                f"{fx_tempdir}/{pathlib.Path(data_dir_cellprofiler_sqlite_nf1).name}"
-                ".cytotable.mocks3.direct.parquet"
-            ),
-            dest_datatype="parquet",
-            chunk_size=100,
-            preset="cellprofiler_sqlite_pycytominer",
-            endpoint_url=example_s3_endpoint,
-            # use explicit cache to avoid temp cache removal / overlaps with
-            # sequential s3 SQLite files. See below for more information
-            # https://cloudpathlib.drivendata.org/stable/caching/#automatically
-            local_cache_dir=f"{fx_tempdir}/sqlite_s3_cache/1",
-        )
-    )
+    # read only the metadata from parquet file
+    parquet_file_meta = parquet.ParquetFile(s3_result).metadata
 
-    # s3 sqlite read with nested sqlite file
-    s3_cytotable_table_nested = parquet.read_table(
-        source=convert(
-            source_path="s3://example/nf1/",
-            dest_path=(
-                f"{fx_tempdir}/{pathlib.Path(data_dir_cellprofiler_sqlite_nf1).name}"
-                ".cytotable.mocks3.nested.parquet"
-            ),
-            dest_datatype="parquet",
-            chunk_size=100,
-            preset="cellprofiler_sqlite_pycytominer",
-            endpoint_url=example_s3_endpoint,
-            # use explicit cache to avoid temp cache removal / overlaps with
-            # sequential s3 SQLite files. See below for more information
-            # https://cloudpathlib.drivendata.org/stable/caching/#automatically
-            local_cache_dir=f"{fx_tempdir}/sqlite_s3_cache/2",
-        )
-    )
+    # check the shape of the data
+    assert (parquet_file_meta.num_rows, parquet_file_meta.num_columns) == (5000, 5928)
 
-    assert local_cytotable_table.sort_by(
-        [(name, "ascending") for name in local_cytotable_table.schema.names]
-    ).equals(
-        s3_cytotable_table.sort_by(
-            [(name, "ascending") for name in s3_cytotable_table.schema.names]
-        )
-    )
-    assert local_cytotable_table.sort_by(
-        [(name, "ascending") for name in local_cytotable_table.schema.names]
-    ).equals(
-        s3_cytotable_table_nested.sort_by(
-            [(name, "ascending") for name in s3_cytotable_table_nested.schema.names]
-        )
-    )
+    # check that dropping duplicates results in the same shape
+    assert pd.read_parquet(s3_result).drop_duplicates().shape == (5000, 5928)
 
 
 def test_get_source_filepaths(
@@ -207,7 +153,7 @@ def test_get_source_filepaths(
         single_dir_result = _get_source_filepaths(
             path=empty_dir,
             targets=["image", "cells", "nuclei", "cytoplasm"],
-        ).result()
+        )
 
     # check that single sqlite file is returned as desired
     single_file_result = _get_source_filepaths(
@@ -215,27 +161,27 @@ def test_get_source_filepaths(
             f"{data_dir_cellprofiler}/NF1_SchwannCell_data/all_cellprofiler.sqlite"
         ),
         targets=["cells"],
-    ).result()
+    )
     assert len(set(single_file_result.keys())) == 1
 
     # check that single csv file is returned as desired
     single_file_result = _get_source_filepaths(
         path=pathlib.Path(f"{data_dir_cellprofiler}/ExampleHuman/Cells.csv"),
         targets=["cells"],
-    ).result()
+    )
     assert len(set(single_file_result.keys())) == 1
 
     single_dir_result = _get_source_filepaths(
         path=pathlib.Path(f"{data_dir_cellprofiler}/ExampleHuman"),
         targets=["cells"],
-    ).result()
+    )
     # test that the single dir structure includes 1 unique key (for cells)
     assert len(set(single_dir_result.keys())) == 1
 
     single_dir_result = _get_source_filepaths(
         path=pathlib.Path(f"{data_dir_cellprofiler}/ExampleHuman"),
         targets=["image", "cells", "nuclei", "cytoplasm"],
-    ).result()
+    )
     # test that the single dir structure includes 4 unique keys
     assert len(set(single_dir_result.keys())) == 4
 
diff --git a/tests/test_sources.py b/tests/test_sources.py
new file mode 100644
index 00000000..ba7ea620
--- /dev/null
+++ b/tests/test_sources.py
@@ -0,0 +1,46 @@
+"""
+Testing for cytotable/sources.py
+"""
+
+import pathlib
+import tempfile
+
+from cytotable.sources import _file_is_more_than_one_line
+
+
+def test_file_is_more_than_one_line():
+    """
+    Tests for _file_is_more_than_one_line
+    """
+    # zero lines test
+    with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
+        tmp_file_path = pathlib.Path(tmp_file.name)
+    assert not _file_is_more_than_one_line(tmp_file_path)
+    tmp_file_path.unlink()
+
+    # test file with one line
+    with tempfile.NamedTemporaryFile(delete=False, mode="w") as tmp_file:
+        tmp_file.write("This is the only line in the file.")
+        tmp_file_path = pathlib.Path(tmp_file.name)
+    assert not _file_is_more_than_one_line(tmp_file_path)
+    tmp_file_path.unlink()
+
+    # test file with more than one line
+    with tempfile.NamedTemporaryFile(delete=False, mode="w") as tmp_file:
+        tmp_file.write("First line.\nSecond line.")
+        tmp_file_path = pathlib.Path(tmp_file.name)
+    assert _file_is_more_than_one_line(tmp_file_path)
+    tmp_file_path.unlink()
+
+    # test multiple line file
+    with tempfile.NamedTemporaryFile(delete=False, mode="w") as tmp_file:
+        tmp_file.write("First line.\nSecond line.\nThird line.")
+        tmp_file_path = pathlib.Path(tmp_file.name)
+    assert _file_is_more_than_one_line(tmp_file_path)
+    tmp_file_path.unlink()
+
+    # test sqlite file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".sqlite") as tmp_file:
+        tmp_file_path = pathlib.Path(tmp_file.name)
+    assert _file_is_more_than_one_line(tmp_file_path)
+    tmp_file_path.unlink()