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https://github.com/lancedb/lancedb.git
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@@ -455,6 +455,62 @@ class Table(ABC):
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"""
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raise NotImplementedError
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@abstractmethod
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def update(
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self,
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where: Optional[str] = None,
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values: Optional[dict] = None,
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*,
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values_sql: Optional[Dict[str, str]] = None,
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):
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"""
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This can be used to update zero to all rows depending on how many
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rows match the where clause. If no where clause is provided, then
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all rows will be updated.
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Either `values` or `values_sql` must be provided. You cannot provide
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both.
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Parameters
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----------
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where: str, optional
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The SQL where clause to use when updating rows. For example, 'x = 2'
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or 'x IN (1, 2, 3)'. The filter must not be empty, or it will error.
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values: dict, optional
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The values to update. The keys are the column names and the values
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are the values to set.
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values_sql: dict, optional
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The values to update, expressed as SQL expression strings. These can
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reference existing columns. For example, {"x": "x + 1"} will increment
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the x column by 1.
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Examples
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--------
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>>> import lancedb
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>>> import pandas as pd
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>>> data = pd.DataFrame({"x": [1, 2, 3], "vector": [[1, 2], [3, 4], [5, 6]]})
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>>> db = lancedb.connect("./.lancedb")
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>>> table = db.create_table("my_table", data)
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>>> table.to_pandas()
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x vector
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0 1 [1.0, 2.0]
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1 2 [3.0, 4.0]
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2 3 [5.0, 6.0]
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>>> table.update(where="x = 2", values={"vector": [10, 10]})
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>>> table.to_pandas()
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x vector
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0 1 [1.0, 2.0]
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1 3 [5.0, 6.0]
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2 2 [10.0, 10.0]
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>>> table.update(values_sql={"x": "x + 1"})
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>>> table.to_pandas()
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x vector
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0 2 [1.0, 2.0]
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1 4 [5.0, 6.0]
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2 3 [10.0, 10.0]
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"""
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raise NotImplementedError
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class LanceTable(Table):
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"""
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