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Use Parquet to bypass Arrow #601

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merged 14 commits into from
Aug 23, 2023
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@whitphx whitphx commented Aug 18, 2023

Resolves #509

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@lukasmasuch lukasmasuch left a comment

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🚢

@@ -260,7 +260,6 @@ As _stlite_ runs on the web browser environment ([Pyodide](https://pyodide.org/)

- `st.spinner()` does not work with blocking methods like `pyodide.http.open_url()` because stlite runs on a single-threaded environment, so `st.spinner()` can't execute its code to start showing the spinner during the blocking method occupies the only event loop.
- `time.sleep()` is no-op. Use `asyncio.sleep()` instead. This is a restriction from Pyodide runtime. See https://github.com/pyodide/pyodide/issues/2354. The following section about top-level await may also help to know how to use async functions on stlite.
- `st.experimental_data_editor` does not work as it relies on PyArrow, but it doesn't work on Pyodide. Track this issue on https://github.com/whitphx/stlite/issues/509.
- For URL access, `urllib` and `requests` don't work on Pyodide/stlite, so we have to use alternative methods provided by Pyodide, such as [`pyodide.http.pyfetch()`](https://pyodide.org/en/stable/usage/api/python-api/http.html#pyodide.http.pyfetch) or [`pyodide.http.open_url()`](https://pyodide.org/en/stable/usage/api/python-api/http.html#pyodide.http.open_url). See https://pyodide.org/en/stable/usage/faq.html#how-can-i-load-external-files-in-pyodide for the details. For `pyodide.http.pyfetch()`, see also the following section about top-level await.
- The C extension packages that are not built for Pyodide cannot be installed. See https://pyodide.org/en/stable/usage/faq.html#micropip-can-t-find-a-pure-python-wheel for the details.
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@lukasmasuch lukasmasuch Aug 23, 2023

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nit: maybe add something like:

  1. st.bokeh_chart does not work since Pyodide uses Bokeh version 3.x while Streamlit only supports 2.x. The 3.x support for Streamlit is tracked here: Support bokeh 3.0.3 streamlit/streamlit#5858
  2. There are some small differences in how (less common) data types of DataFrame columns are handled in st.dataframe, st.data_editor, st.table, and Altair-based charts. The reason is that stlite uses the Parquet format instead of the Arrow IPC format to serialize dataframes.

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@whitphx whitphx Aug 23, 2023

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Thanks! I added the second one in this PR, and will do the first one in another PR.

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-> #605

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Support the Arrow-based data transport.
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