pandas.HDFStore.flush#

HDFStore.flush(fsync=False)[source]#

Force all buffered modifications to be written to disk.

Useful when sharing access between processes – call flush (with fsync=True if needed) before releasing a write lock so that readers see the latest data.

Parameters:

fsyncbool, default False: Call os.fsync() on the file handle to force writing to disk.

See also

HDFStore.close: Close the underlying PyTables file handle.

Notes

Without fsync=True, flushing may not guarantee that the OS writes to disk. With fsync, the operation will block until the OS claims the file has been written; however, other caching layers may still interfere.

Examples

>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=["A", "B"])
>>> store = pd.HDFStore("store.h5", "w")
>>> store.put("data", df)
>>> store.flush(fsync=True)
>>> store.close()