snowflake.snowpark.WhenMatchedClause.update¶

WhenMatchedClause.update(assignments: Dict[str, Union[Column, None, bool, int, float, str, bytearray, Decimal, date, datetime, time, bytes, NaTType, float64, list, tuple, dict]]) → WhenMatchedClause[source]¶

Defines an update action for the matched clause and returns an updated WhenMatchedClause with the new update action added.

Parameters:

assignments – A list of values or a dict that associates the names of columns with the values that should be updated. The value of assignments can either be a literal value or a Column object.

Example:

>>> # Adds a matched clause where a row in source is matched
>>> # if its key is equal to the key of any row in target.
>>> # For all such rows, update its value to the value of the
>>> # corresponding row in source.
>>> from snowflake.snowpark.functions import when_matched, lit
>>> target_df = session.create_dataframe([(10, "old"), (10, "too_old"), (11, "old")], schema=["key", "value"])
>>> target_df.write.save_as_table("my_table", mode="overwrite", table_type="temporary")
>>> target = session.table("my_table")
>>> source = session.create_dataframe([(10, "new")], schema=["key", "value"])
>>> target.merge(source, (target["key"] == source["key"]) & (target["value"] == lit("too_old")), [when_matched().update({"value": source["value"]})])
MergeResult(rows_inserted=0, rows_updated=1, rows_deleted=0)
>>> target.sort("key", "value").collect() # the value in the table is updated
[Row(KEY=10, VALUE='new'), Row(KEY=10, VALUE='old'), Row(KEY=11, VALUE='old')]

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Note

An exception will be raised if this method or WhenMatchedClause.delete() is called more than once on the same WhenMatchedClause object.