From fb4523a370eb6ef9fb0f9aa67084fee83875d099 Mon Sep 17 00:00:00 2001 From: Ted Conbeer Date: Wed, 8 Nov 2023 10:36:01 -0700 Subject: [PATCH 1/5] feat: add numpy backend --- Makefile | 2 +- src/scripts/benchmark.py | 4 + src/scripts/run_numpy_wide.py | 41 ++++++++ src/textual_fastdatatable/__init__.py | 2 + src/textual_fastdatatable/backend.py | 117 +++++++++++++++++++++ tests/unit_tests/test_numpy_backend.py | 137 +++++++++++++++++++++++++ 6 files changed, 302 insertions(+), 1 deletion(-) create mode 100644 src/scripts/run_numpy_wide.py create mode 100644 tests/unit_tests/test_numpy_backend.py diff --git a/Makefile b/Makefile index fea643c..fa8782d 100644 --- a/Makefile +++ b/Makefile @@ -17,4 +17,4 @@ serve: .PHONY: profile profile: - pyinstrument -r html -o profile.html "src/scripts/run.py" + pyinstrument -r html -o profile.html "src/scripts/run_numpy_wide.py" diff --git a/src/scripts/benchmark.py b/src/scripts/benchmark.py index cbd4058..ad8e869 100644 --- a/src/scripts/benchmark.py +++ b/src/scripts/benchmark.py @@ -1,5 +1,6 @@ from __future__ import annotations +import gc from pathlib import Path from time import perf_counter @@ -89,9 +90,12 @@ def compose(self) -> ComposeResult: for i, app_cls in enumerate(app_defs): for _ in range(tries): app = app_cls(BENCHMARK_DATA / p) + gc.disable() fp, el = app.run(headless=True, auto_pilot=scroller) # type: ignore + gc.collect() first_paint[i].append(fp) elapsed[i].append(el) + gc.enable() avg_first_paint = [sum(app_times) / tries for app_times in first_paint] avg_elapsed = [sum(app_times) / tries for app_times in elapsed] formatted = [ diff --git a/src/scripts/run_numpy_wide.py b/src/scripts/run_numpy_wide.py new file mode 100644 index 0000000..621ea3e --- /dev/null +++ b/src/scripts/run_numpy_wide.py @@ -0,0 +1,41 @@ +from __future__ import annotations + +from pathlib import Path + +import pandas as pd +from textual.app import App, ComposeResult +from textual.driver import Driver +from textual.types import CSSPathType +from textual_fastdatatable import DataTable, NumpyBackend + +BENCHMARK_DATA = Path(__file__).parent.parent.parent / "tests" / "data" + + +class NumpyApp(App): + TITLE = "FastDataTable (Numpy)" + + def __init__( + self, + data_path: Path, + driver_class: type[Driver] | None = None, + css_path: CSSPathType | None = None, + watch_css: bool = False, + ): + super().__init__(driver_class, css_path, watch_css) + self.data_path = data_path + + def compose(self) -> ComposeResult: + df = pd.read_parquet(self.data_path) + rows = [tuple(row) for row in df.itertuples(index=False)] + backend = NumpyBackend(rows) + table = DataTable( + backend=backend, column_labels=[str(col) for col in df.columns] + ) + del df + del rows + yield table + + +if __name__ == "__main__": + app = NumpyApp(data_path=BENCHMARK_DATA / "wide_10000.parquet") + app.run() diff --git a/src/textual_fastdatatable/__init__.py b/src/textual_fastdatatable/__init__.py index 44dfe00..c2a9548 100644 --- a/src/textual_fastdatatable/__init__.py +++ b/src/textual_fastdatatable/__init__.py @@ -1,6 +1,7 @@ from textual_fastdatatable.backend import ( ArrowBackend, DataTableBackend, + NumpyBackend, create_backend, ) from textual_fastdatatable.data_table import DataTable @@ -8,6 +9,7 @@ __all__ = [ "DataTable", "ArrowBackend", + "NumpyBackend", "DataTableBackend", "create_backend", ] diff --git a/src/textual_fastdatatable/backend.py b/src/textual_fastdatatable/backend.py index e8dcda0..f895a3f 100644 --- a/src/textual_fastdatatable/backend.py +++ b/src/textual_fastdatatable/backend.py @@ -4,10 +4,13 @@ from pathlib import Path from typing import Any, Dict, Iterable, Literal, Mapping, Sequence, Union +import numpy as np import pyarrow as pa import pyarrow.compute as pc import pyarrow.lib as pl import pyarrow.parquet as pq +from numpy.core.records import array, fromrecords +from numpy.lib.recfunctions import rec_append_fields AutoBackendType = Union[ pa.Table, @@ -292,3 +295,117 @@ def _safe_cast_arr_to_str(arr: pa._PandasConvertible) -> pa._PandasConvertible: native_list = arr.to_pylist() arr = pa.array([str(i) for i in native_list], type=pa.string()) return arr.fill_null("") + + +class NumpyBackend(DataTableBackend): + def __init__(self, data: Sequence[tuple]) -> None: + if data: + self.data = fromrecords(data) + self._column_content_widths: list[int] = [] + else: + self.data = np.recarray(shape=(0, 0), formats=["f8"]) + self._column_content_widths = [0] + + @property + def row_count(self) -> int: + return len(self.data) + + @property + def column_count(self) -> int: + return len(self.columns) + + @property + def columns(self) -> tuple[str, ...]: + """ + A list of column labels + """ + names = self.data.dtype.names + if names is None: + return tuple() + else: + return names + + @property + def column_content_widths(self) -> list[int]: + """ + A list of integers corresponding to the widest utf8 string length + of any data in each column. + """ + if not self._column_content_widths: + self._column_content_widths = [ + max(np.char.str_len(self.data[col].astype(" tuple[Any, ...]: + if index < 0: + raise IndexError("Cannot use negative indicies") + return tuple(self.data[index]) + + def get_column_at(self, index: int) -> list[Any]: + col_name = self.columns[index] + return list(self.data[col_name]) + + def get_cell_at(self, row_index: int, column_index: int) -> Any: + return self.data[row_index][column_index] + + def append_column(self, label: str, default: Any | None = None) -> int: + """ + Returns column index + """ + idx = self.column_count + if default is not None: + data = np.full(self.row_count, fill_value=default) + else: + data = np.full(self.row_count, fill_value=np.nan) + self.data = rec_append_fields(self.data, names=label, data=data) + self._column_content_widths = [] + return idx + + def append_rows(self, records: Iterable[Iterable[Any]]) -> list[int]: + """ + Returns new row indicies + """ + tuples = [tuple(row) for row in records] + old_len = self.row_count + new_data = fromrecords(tuples) + self.data = array(np.append(self.data, new_data, axis=0)) + self._column_content_widths = [] + return list(range(old_len, self.row_count)) + + def drop_row(self, row_index: int) -> None: + self.data = array(np.delete(self.data, row_index, axis=0)) + self._column_content_widths = [] + + def update_cell(self, row_index: int, column_index: int, value: Any) -> None: + """ + Raises IndexError if bad indicies + """ + try: + self.data[row_index][column_index] = value + assert self.data[row_index][column_index] == value + except (ValueError, AssertionError): + # cast column to a string and try again + types = self.data.dtype.descr + types[column_index] = (types[column_index][0], " None: + """ + by: str sorts table by the data in the column with that name (asc). + by: list[tuple] sorts the table by the named column(s) with the directions + indicated. + """ + if isinstance(by, str): + self.data.sort(axis=0, kind="stable", order=by) + else: + for field, direction in reversed(by): + self.data.sort(axis=0, kind="stable", order=field) + if direction == "descending": + self.data = array(np.flip(self.data)) diff --git a/tests/unit_tests/test_numpy_backend.py b/tests/unit_tests/test_numpy_backend.py new file mode 100644 index 0000000..007d3e9 --- /dev/null +++ b/tests/unit_tests/test_numpy_backend.py @@ -0,0 +1,137 @@ +from __future__ import annotations + +import numpy as np +import pytest +from textual_fastdatatable import NumpyBackend + + +@pytest.fixture +def records() -> list[tuple[int, str, str]]: + return [ + (1, "a", "foo"), + (2, "b", "bar"), + (3, "c", "baz"), + (4, "d", "qux"), + (5, "asdfasdf", "foofoo"), + ] + + +@pytest.fixture +def backend(records: list[tuple[int, str, str]]) -> NumpyBackend: + return NumpyBackend(records) + + +def test_from_records(backend: NumpyBackend) -> None: + assert backend.column_count == 3 + assert backend.row_count == 5 + assert backend.columns == ("f0", "f1", "f2") + + +def test_column_content_widths(backend: NumpyBackend) -> None: + assert backend.column_content_widths == [1, 8, 6] + + +def test_get_row_at(backend: NumpyBackend) -> None: + assert backend.get_row_at(0) == (1, "a", "foo") + assert backend.get_row_at(4) == (5, "asdfasdf", "foofoo") + with pytest.raises(IndexError): + backend.get_row_at(10) + with pytest.raises(IndexError): + backend.get_row_at(-1) + + +def test_get_column_at(backend: NumpyBackend) -> None: + assert backend.get_column_at(0) == [1, 2, 3, 4, 5] + assert backend.get_column_at(2) == ["foo", "bar", "baz", "qux", "foofoo"] + + with pytest.raises(IndexError): + backend.get_column_at(10) + + +def test_get_cell_at(backend: NumpyBackend) -> None: + assert backend.get_cell_at(0, 0) == 1 + assert backend.get_cell_at(4, 1) == "asdfasdf" + with pytest.raises(IndexError): + backend.get_cell_at(10, 0) + with pytest.raises(IndexError): + backend.get_cell_at(0, 10) + + +def test_append_column(backend: NumpyBackend) -> None: + original_table = backend.data + backend.append_column("new") + assert backend.column_count == 4 + assert backend.row_count == 5 + assert all(np.isnan(backend.get_column_at(3))) + + backend.append_column("def", default="zzz") + assert backend.column_count == 5 + assert backend.row_count == 5 + assert backend.get_column_at(4) == ["zzz"] * backend.row_count + + assert np.array_equal(backend.data[["f0", "f1", "f2"]], original_table) + + +def test_append_rows(backend: NumpyBackend) -> None: + original_table = backend.data + backend.append_rows([(6, "w", "x"), (7, "y", "z")]) + assert backend.column_count == 3 + assert backend.row_count == 7 + assert backend.column_content_widths == [1, 8, 6] + + backend.append_rows([(999, "w" * 12, "x" * 15)]) + assert backend.column_count == 3 + assert backend.row_count == 8 + assert backend.column_content_widths == [3, 12, 15] + + assert np.array_equal(backend.data[0:5], original_table) + + +def test_drop_row(backend: NumpyBackend) -> None: + backend.drop_row(0) + assert backend.row_count == 4 + assert backend.column_count == 3 + assert backend.column_content_widths == [1, 8, 6] + + backend.drop_row(3) + assert backend.row_count == 3 + assert backend.column_count == 3 + assert backend.column_content_widths == [1, 1, 3] + + with pytest.raises(IndexError): + backend.drop_row(3) + + +def test_update_cell(backend: NumpyBackend) -> None: + backend.update_cell(0, 0, 0) + assert backend.get_column_at(0) == [0, 2, 3, 4, 5] + assert backend.row_count == 5 + assert backend.column_count == 3 + assert backend.column_content_widths == [1, 8, 6] + + backend.update_cell(3, 1, "z" * 50) + assert backend.get_row_at(3) == (4, "z" * 50, "qux") + assert backend.row_count == 5 + assert backend.column_count == 3 + assert backend.column_content_widths == [1, 50, 6] + + +def test_sort(backend: NumpyBackend) -> None: + original_table = np.copy(backend.data) + original_col_one = backend.get_column_at(0).copy() + original_col_two = backend.get_column_at(1).copy() + backend.sort(by="f1") + assert backend.get_column_at(0) != original_col_one + assert backend.get_column_at(1) == sorted(original_col_two) + + backend.sort(by=[("f1", "descending")]) + assert backend.get_column_at(0) != original_col_one + assert backend.get_column_at(1) == sorted(original_col_two, reverse=True) + + backend.sort(by=[("f0", "ascending")]) + assert np.array_equal(backend.data, original_table) + + +def test_empty_query() -> None: + backend = NumpyBackend(data=[]) + assert backend.column_content_widths == [0] From 8af872fbd41f95e8cc6b7d325229719c2876d4ea Mon Sep 17 00:00:00 2001 From: Ted Conbeer Date: Wed, 8 Nov 2023 10:44:59 -0700 Subject: [PATCH 2/5] chore: bump deps --- poetry.lock | 629 ++++++++++++------------ src/textual_fastdatatable/data_table.py | 4 +- 2 files changed, 318 insertions(+), 315 deletions(-) diff --git a/poetry.lock b/poetry.lock index ca925da..8043734 100644 --- a/poetry.lock +++ b/poetry.lock @@ -153,33 +153,29 @@ 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description = "Virtual Python Environment builder" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"}, - {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"}, + {file = "virtualenv-20.24.6-py3-none-any.whl", hash = "sha256:520d056652454c5098a00c0f073611ccbea4c79089331f60bf9d7ba247bb7381"}, + {file = "virtualenv-20.24.6.tar.gz", hash = "sha256:02ece4f56fbf939dbbc33c0715159951d6bf14aaf5457b092e4548e1382455af"}, ] [package.dependencies] diff --git a/src/textual_fastdatatable/data_table.py b/src/textual_fastdatatable/data_table.py index 740adca..03cef97 100644 --- a/src/textual_fastdatatable/data_table.py +++ b/src/textual_fastdatatable/data_table.py @@ -202,13 +202,13 @@ class DataTable(ScrollView, can_focus=True): DEFAULT_CSS = """ DataTable:dark { - background:; + background: initial; } DataTable { background: $surface ; color: $text; height: auto; - max-height: 100%; + max-height: 100vh; } DataTable > .datatable--header { text-style: bold; From b545b3e0e3270b67bb5ea413e6da10e446e4cd37 Mon Sep 17 00:00:00 2001 From: Ted Conbeer Date: Wed, 8 Nov 2023 11:53:42 -0700 Subject: [PATCH 3/5] fix: cast to native int to prevent np.bool_ type errors --- src/scripts/run_arrow_wide.py | 6 ++++-- src/scripts/run_builtin_wide.py | 4 ++-- src/scripts/run_numpy_wide.py | 2 -- src/textual_fastdatatable/backend.py | 21 +++++++++++++-------- 4 files changed, 19 insertions(+), 14 deletions(-) diff --git a/src/scripts/run_arrow_wide.py b/src/scripts/run_arrow_wide.py index b40b375..2938fcc 100644 --- a/src/scripts/run_arrow_wide.py +++ b/src/scripts/run_arrow_wide.py @@ -5,12 +5,14 @@ from textual.app import App, ComposeResult from textual.driver import Driver from textual.types import CSSPathType -from textual_fastdatatable import DataTable as FastDataTable +from textual_fastdatatable import DataTable BENCHMARK_DATA = Path(__file__).parent.parent.parent / "tests" / "data" class ArrowBackendApp(App): + TITLE = "FastDataTable (Arrow)" + def __init__( self, data_path: Path, @@ -22,7 +24,7 @@ def __init__( self.data_path = data_path def compose(self) -> ComposeResult: - yield FastDataTable(data=self.data_path) + yield DataTable(data=self.data_path) if __name__ == "__main__": diff --git a/src/scripts/run_builtin_wide.py b/src/scripts/run_builtin_wide.py index bce162a..2e5311f 100644 --- a/src/scripts/run_builtin_wide.py +++ b/src/scripts/run_builtin_wide.py @@ -6,7 +6,7 @@ from textual.app import App, ComposeResult from textual.driver import Driver from textual.types import CSSPathType -from textual.widgets import DataTable as BuiltinDataTable +from textual.widgets import DataTable BENCHMARK_DATA = Path(__file__).parent.parent.parent / "tests" / "data" @@ -27,7 +27,7 @@ def __init__( def compose(self) -> ComposeResult: df = pd.read_parquet(self.data_path) rows = [tuple(row) for row in df.itertuples(index=False)] - table: BuiltinDataTable = BuiltinDataTable() + table: DataTable = DataTable() table.add_columns(*[str(col) for col in df.columns]) for row in rows: table.add_row(*row, height=1, label=None) diff --git a/src/scripts/run_numpy_wide.py b/src/scripts/run_numpy_wide.py index 621ea3e..c03ce12 100644 --- a/src/scripts/run_numpy_wide.py +++ b/src/scripts/run_numpy_wide.py @@ -31,8 +31,6 @@ def compose(self) -> ComposeResult: table = DataTable( backend=backend, column_labels=[str(col) for col in df.columns] ) - del df - del rows yield table diff --git a/src/textual_fastdatatable/backend.py b/src/textual_fastdatatable/backend.py index f895a3f..fc73a69 100644 --- a/src/textual_fastdatatable/backend.py +++ b/src/textual_fastdatatable/backend.py @@ -9,7 +9,12 @@ import pyarrow.compute as pc import pyarrow.lib as pl import pyarrow.parquet as pq -from numpy.core.records import array, fromrecords +from numpy.core.records import ( + array as np_recarray, +) +from numpy.core.records import ( + fromrecords as np_recarray_fromrecords, +) from numpy.lib.recfunctions import rec_append_fields AutoBackendType = Union[ @@ -300,7 +305,7 @@ def _safe_cast_arr_to_str(arr: pa._PandasConvertible) -> pa._PandasConvertible: class NumpyBackend(DataTableBackend): def __init__(self, data: Sequence[tuple]) -> None: if data: - self.data = fromrecords(data) + self.data = np_recarray_fromrecords(data) self._column_content_widths: list[int] = [] else: self.data = np.recarray(shape=(0, 0), formats=["f8"]) @@ -333,7 +338,7 @@ def column_content_widths(self) -> list[int]: """ if not self._column_content_widths: self._column_content_widths = [ - max(np.char.str_len(self.data[col].astype(" list[int]: """ tuples = [tuple(row) for row in records] old_len = self.row_count - new_data = fromrecords(tuples) - self.data = array(np.append(self.data, new_data, axis=0)) + new_data = np_recarray_fromrecords(tuples) + self.data = np_recarray(np.append(self.data, new_data, axis=0)) self._column_content_widths = [] return list(range(old_len, self.row_count)) def drop_row(self, row_index: int) -> None: - self.data = array(np.delete(self.data, row_index, axis=0)) + self.data = np_recarray(np.delete(self.data, row_index, axis=0)) self._column_content_widths = [] def update_cell(self, row_index: int, column_index: int, value: Any) -> None: @@ -391,7 +396,7 @@ def update_cell(self, row_index: int, column_index: int, value: Any) -> None: types[column_index] = (types[column_index][0], " Date: Wed, 8 Nov 2023 12:28:38 -0700 Subject: [PATCH 4/5] feat: adds NumpyBackend, improves benchmarks --- CHANGELOG.md | 7 +++- Makefile | 4 +++ src/scripts/benchmark.py | 51 +++++++++++++++++++++++++++- src/textual_fastdatatable/backend.py | 6 +++- 4 files changed, 65 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 76598df..f99a30e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,11 @@ All notable changes to this project will be documented in this file. ### Features - Adds a `null_rep: str` argument when initializing the data table; this string will be used to replace missing data. +- Adds a `NumpyBackend` that uses Numpy Record Arrays; this backend is marginally slower than the `ArrowBackend` in most scenarios ([#23](https://github.com/tconbeer/textual-fastdatatable/issues/23)). + +### Bug Fixes + +- Fixes a crash when using `ArrowBackend.from_records(has_header=False)`. ### Performance @@ -14,7 +19,7 @@ All notable changes to this project will be documented in this file. ### Benchmarks -- Improves benchmarks to exclude data load times and include more information about first paint and scroll performance. +- Improves benchmarks to exclude data load times, disable garbage collection, and include more information about first paint and scroll performance. ## [0.1.4] - 2023-11-06 diff --git a/Makefile b/Makefile index fa8782d..ea8ba52 100644 --- a/Makefile +++ b/Makefile @@ -18,3 +18,7 @@ serve: .PHONY: profile profile: pyinstrument -r html -o profile.html "src/scripts/run_numpy_wide.py" + +.PHONY: benchmark +benchmark: + python src/scripts/benchmark.py > /dev/null diff --git a/src/scripts/benchmark.py b/src/scripts/benchmark.py index ad8e869..c58505e 100644 --- a/src/scripts/benchmark.py +++ b/src/scripts/benchmark.py @@ -10,6 +10,7 @@ from textual.pilot import Pilot from textual.types import CSSPathType from textual.widgets import DataTable as BuiltinDataTable +from textual_fastdatatable import ArrowBackend, NumpyBackend from textual_fastdatatable import DataTable as FastDataTable BENCHMARK_DATA = Path(__file__).parent.parent.parent / "tests" / "data" @@ -69,8 +70,56 @@ def compose(self) -> ComposeResult: yield FastDataTable(data=self.data_path) +class ArrowBackendAppFromRecords(App): + TITLE = "FastDataTable (Arrow from Records)" + + def __init__( + self, + data_path: Path, + driver_class: type[Driver] | None = None, + css_path: CSSPathType | None = None, + watch_css: bool = False, + ): + super().__init__(driver_class, css_path, watch_css) + self.data_path = data_path + + def compose(self) -> ComposeResult: + df = pd.read_parquet(self.data_path) + rows = [tuple(row) for row in df.itertuples(index=False)] + self.start = perf_counter() + backend = ArrowBackend.from_records(rows, has_header=False) + table = FastDataTable( + backend=backend, column_labels=[str(col) for col in df.columns] + ) + yield table + + +class NumpyApp(App): + TITLE = "FastDataTable (Numpy from Records)" + + def __init__( + self, + data_path: Path, + driver_class: type[Driver] | None = None, + css_path: CSSPathType | None = None, + watch_css: bool = False, + ): + super().__init__(driver_class, css_path, watch_css) + self.data_path = data_path + + def compose(self) -> ComposeResult: + df = pd.read_parquet(self.data_path) + rows = [tuple(row) for row in df.itertuples(index=False)] + self.start = perf_counter() + backend = NumpyBackend(rows) + table = FastDataTable( + backend=backend, column_labels=[str(col) for col in df.columns] + ) + yield table + + if __name__ == "__main__": - app_defs = [BuiltinApp, ArrowBackendApp] + app_defs = [ArrowBackendAppFromRecords, BuiltinApp, ArrowBackendApp, NumpyApp] bench = [ (f"lap_times_{n}.parquet", 3 if n <= 10000 else 1) for n in [100, 1000, 10000, 100000, 538121] diff --git a/src/textual_fastdatatable/backend.py b/src/textual_fastdatatable/backend.py index fc73a69..b7165b6 100644 --- a/src/textual_fastdatatable/backend.py +++ b/src/textual_fastdatatable/backend.py @@ -136,7 +136,11 @@ def __init__(self, data: pa.Table) -> None: def _pydict_from_records( records: Sequence[Iterable[Any]], has_header: bool = True ) -> dict[str, list[Any]]: - headers = records[0] if has_header else range(len(list(records[0]))) + headers = ( + records[0] + if has_header + else [f"f{i}" for i in range(len(list(records[0])))] + ) data = list(map(list, records[1:] if has_header else records)) pydict = {header: [row[i] for row in data] for i, header in enumerate(headers)} return pydict From 13b5faa1c9540750e1ff6267269e0999a3b314ff Mon Sep 17 00:00:00 2001 From: Ted Conbeer Date: Wed, 8 Nov 2023 12:33:42 -0700 Subject: [PATCH 5/5] chore: pin textual version; update readme --- README.md | 24 +++++++++++++----------- poetry.lock | 2 +- pyproject.toml | 2 +- 3 files changed, 15 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index ae2430a..b566d4a 100644 --- a/README.md +++ b/README.md @@ -5,21 +5,23 @@ Textual's built-in DataTable widget is beautiful and powerful, but it can be slo Here are some benchmarks on my relatively weak laptop. For each benchmark, we initialize a Textual App that loads a dataset from a parquet file and mounts a data table; it then scrolls around the table -(10 pagedowns and 15 right arrows). For the built-in table, the data is loaded into memory before the timer -is started; the Arrow back-end reads directly from parquet, so the timer is started immediately. +(10 pagedowns and 15 right arrows). + +For the built-in table and the others marked "from Records", the data is loaded into memory before the timer +is started; for the "Arrow from Parquet" back-end, the timer is started immediately. The times in each column represent the time to the first paint of the table, and the time after scrolling is completed (we wait until the table is fully rendered after each scroll): -Records |Built-In DataTable | FastDataTable (Arrow) ---------|--------|-------- -lap_times_100.parquet | 0.024s / 1.741s | 0.020s / 1.751s -lap_times_1000.parquet | 0.107s / 1.997s | 0.022s / 1.913s -lap_times_10000.parquet | 1.071s / 3.016s | 0.022s / 1.956s -lap_times_100000.parquet | 10.803s / 13.086s | 0.038s / 2.162s -lap_times_538121.parquet | 60.795s / 64.837s | 0.085s / 1.928s -wide_10000.parquet | 4.655s / 9.987s | 0.025s / 3.205s -wide_100000.parquet | 49.764s / 55.258s | 0.062s / 3.209s +Records | Built-In DataTable | FastDataTable (Arrow from Parquet) | FastDataTable (Arrow from Records) | FastDataTable (Numpy from Records) +--------|--------|--------|--------|-------- +lap_times_100.parquet | 0.019s / 1.716s | 0.012s / 1.724s | 0.011s / 1.700s | 0.011s / 1.688s +lap_times_1000.parquet | 0.103s / 1.931s | 0.011s / 1.859s | 0.011s / 1.799s | 0.015s / 1.848s +lap_times_10000.parquet | 0.977s / 2.824s | 0.013s / 1.834s | 0.016s / 1.812s | 0.078s / 1.869s +lap_times_100000.parquet | 11.773s / 13.770s | 0.025s / 1.790s | 0.156s / 1.824s | 0.567s / 2.347s +lap_times_538121.parquet | 62.960s / 65.760s | 0.077s / 1.803s | 0.379s / 2.234s | 3.324s / 5.031s +wide_10000.parquet | 5.110s / 10.539s | 0.024s / 3.373s | 0.042s / 3.278s | 0.369s / 3.461s +wide_100000.parquet | 51.144s / 56.604s | 0.054s / 3.294s | 0.429s / 3.642s | 3.628s / 6.732s **NB:** FastDataTable currently does not support rows with a height of more than one line. See below for diff --git a/poetry.lock b/poetry.lock index 8043734..07c043d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1667,4 +1667,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.8" -content-hash = "abd0fc9409304e5f7541a66f2d8864be63906cc4a2b921b89c753eeec2f1a38e" +content-hash = "e5d97b1c4146c56d9cef64f467dd31a180464ee13aa046236d03d1c572f65df1" diff --git a/pyproject.toml b/pyproject.toml index 59ffcda..28a1d7f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry.dependencies] python = "^3.8" -textual = ">=0.38.0" +textual = ">=0.41.0" pyarrow = ">=7.0.0" [tool.poetry.group.dev.dependencies]