awswrangler.oracle.to_sql

awswrangler.oracle.to_sql(df: DataFrame, con: oracledb.Connection, table: str, schema: str, mode: Literal['append', 'overwrite', 'upsert'] = 'append', index: bool = False, dtype: dict[str, str] | None = None, varchar_lengths: dict[str, int] | None = None, use_column_names: bool = False, primary_keys: list[str] | None = None, chunksize: int = 200) → None

Write records stored in a DataFrame into Oracle Database.

Note

This function has arguments which can be configured globally through wr.config or environment variables:

  • chunksize

Check out the Global Configurations Tutorial for details.

Parameters:

  • df (DataFrame) – Pandas DataFrame https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html

  • con (Connection) – Use oracledb.connect() to use credentials directly or wr.oracle.connect() to fetch it from the Glue Catalog.

  • table (str) – Table name

  • schema (str) – Schema name

  • mode (Literal['append', 'overwrite', 'upsert']) – Append, overwrite or upsert.

  • index (bool) – True to store the DataFrame index as a column in the table, otherwise False to ignore it.

  • dtype (dict[str, str] | None) – Dictionary of columns names and Oracle types to be casted. Useful when you have columns with undetermined or mixed data types. (e.g. {‘col name’: ‘TEXT’, ‘col2 name’: ‘FLOAT’})

  • varchar_lengths (dict[str, int] | None) – Dict of VARCHAR length by columns. (e.g. {“col1”: 10, “col5”: 200}).

  • use_column_names (bool) – If set to True, will use the column names of the DataFrame for generating the INSERT SQL Query. E.g. If the DataFrame has two columns col1 and col3 and use_column_names is True, data will only be inserted into the database columns col1 and col3.

  • primary_keys (list[str] | None) – Primary keys.

  • chunksize (int) – Number of rows which are inserted with each SQL query. Defaults to inserting 200 rows per query.

Return type:

None

Examples

Writing to Oracle Database using a Glue Catalog Connections

>>> import awswrangler as wr
>>> with wr.oracle.connect(connection="MY_GLUE_CONNECTION") as con:
...     wr.oracle.to_sql(
...         df=df,
...         table="table",
...         schema="ORCL",
...         con=con,
...     )