()
| 13 | |
| 14 | |
| 15 | def test_shuffle_after_read_sql(): |
| 16 | with tmpfile() as f: |
| 17 | uri = f"sqlite:///{f}" |
| 18 | |
| 19 | df = pd.DataFrame( |
| 20 | { |
| 21 | "id": [1, 2, 3, 4, 5, 6, 7, 8], |
| 22 | "value": [ |
| 23 | "value1", |
| 24 | "value2", |
| 25 | "value3", |
| 26 | "value3", |
| 27 | "value4", |
| 28 | "value4", |
| 29 | "value4", |
| 30 | "value5", |
| 31 | ], |
| 32 | } |
| 33 | ).set_index("id") |
| 34 | ddf = from_pandas(df, npartitions=1) |
| 35 | |
| 36 | ddf.to_sql("test_table", uri, if_exists="append") |
| 37 | result = read_sql_table("test_table", con=uri, index_col="id") |
| 38 | assert_eq( |
| 39 | result["value"].unique(), pd.Series(df["value"].unique(), name="value") |
| 40 | ) |
| 41 | assert_eq(result.shuffle(on_index=True), df) |
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