diff --git a/.gitignore b/.gitignore index cb1a5d4..5904177 100644 --- a/.gitignore +++ b/.gitignore @@ -5,6 +5,7 @@ chispa.egg-info/ tmp/ .idea/ .DS_Store +*.parquet # Byte-compiled / optimized / DLL files __pycache__/ diff --git a/README.md b/README.md index 97a5293..ae9b77c 100644 --- a/README.md +++ b/README.md @@ -554,9 +554,9 @@ Notice that the records that violated either of the constraints are appended to ## Rename a Delta Table -This function is designed to rename a Delta table. It can operate either within a Databricks environment or with a standalone Spark session. +This function is designed to rename a Delta table. It can operate either within a Databricks environment or with a standalone Spark session. -## Parameters: +Here are the parameters for the function: - `delta_table` (`DeltaTable`): An object representing the Delta table to be renamed. - `new_table_name` (`str`): The new name for the table. @@ -564,21 +564,14 @@ This function is designed to rename a Delta table. It can operate either within - `databricks` (`bool`, optional): A flag indicating the function's operational environment. Set to `True` if running within Databricks, otherwise, `False`. Defaults to `False`. - `spark_session` (`pyspark.sql.SparkSession`, optional): The Spark session. This is required when `databricks` is set to `True`. Defaults to `None`. -## Returns: +The function raises a `TypeError` if the provided `delta_table` is not a DeltaTable object, or if `databricks` is set to `True` and `spark_session` is `None`. -- `None` - -## Raises: - -- `TypeError`: If the provided `delta_table` is not a DeltaTable object, or if `databricks` is set to `True` and `spark_session` is `None`. - -## Example Usage: +Here's how to use the function: ```python rename_delta_table(existing_delta_table, "new_table_name") ``` - ## Dictionary We're leveraging the following terminology defined [here](https://www.databasestar.com/database-keys/#:~:text=Natural%20key%3A%20an%20attribute%20that,can%20uniquely%20identify%20a%20row). diff --git a/mack/__init__.py b/mack/__init__.py index 25ce870..15149ff 100644 --- a/mack/__init__.py +++ b/mack/__init__.py @@ -6,6 +6,7 @@ from pyspark.sql.dataframe import DataFrame from pyspark.sql.functions import col, concat_ws, count, md5, row_number, max from pyspark.sql.window import Window +from pyspark.sql import SparkSession def type_2_scd_upsert( @@ -694,44 +695,22 @@ def constraint_append( def rename_delta_table( - delta_table: DeltaTable, + old_table_name: str, new_table_name: str, - table_location: str = None, - databricks: bool = False, - spark_session: pyspark.sql.SparkSession = None, + spark_session: SparkSession = SparkSession.getActiveSession(), ) -> None: """ - Renames a Delta table to a new name. This function can be used in a Databricks environment or with a - standalone Spark session. + Renames a Delta table to a new name. Parameters: - delta_table (DeltaTable): The DeltaTable object representing the table to be renamed. + old_table_name (str): The old name for the table. new_table_name (str): The new name for the table. - table_location (str, optional): The file path where the table is stored. Defaults to None. - If None, the function will attempt to determine the location from the DeltaTable object. - databricks (bool, optional): A flag indicating whether the function is being run in a Databricks - environment. Defaults to False. If True, a SparkSession must be provided. - spark_session (pyspark.sql.SparkSession, optional): The Spark session. Defaults to None. - Required if `databricks` is set to True. + spark (pyspark.sql.SparkSession, optional): The Spark session. Defaults to active SparkSession. Returns: None - Raises: - TypeError: If the provided `delta_table` is not a DeltaTable object, or if `databricks` is True - and `spark_session` is None. - Example Usage: - >>> rename_delta_table(existing_delta_table, "new_table_name") + >>> rename_delta_table("old_table_name", "new_table_name") """ - if not isinstance(delta_table, DeltaTable): - raise TypeError("An existing delta table must be specified for delta_table.") - if databricks and spark_session is None: - raise TypeError("A spark session must be specified for databricks.") - - if databricks: - spark_session.sql(f"ALTER TABLE {delta_table.name} RENAME TO {new_table_name}") - else: - delta_table.toDF().write.format("delta").mode("overwrite").saveAsTable( - new_table_name - ) + spark_session.sql(f"ALTER TABLE {old_table_name} RENAME TO {new_table_name}") diff --git a/poetry.lock b/poetry.lock index 53bd7de..4c5e3e0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,57 +2,57 @@ [[package]] name = "attrs" -version = "22.2.0" +version = "23.1.0" description = "Classes Without Boilerplate" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - 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"0.9.4" pytest-describe = "^1.0.0" ruff = "^0.0.254" diff --git a/tests/test_public_interface.py b/tests/test_public_interface.py index e812910..4392bfb 100644 --- a/tests/test_public_interface.py +++ b/tests/test_public_interface.py @@ -1142,29 +1142,19 @@ def test_constraint_append_notnull_and_check_constraint(tmp_path): quarantined_data, expected_quarantined_df, ignore_row_order=True ) - + def test_rename_delta_table(tmp_path): - # Create a temporary directory to hold the Delta table - # Create a sample DataFrame data = [("Alice", 1), ("Bob", 2)] df = spark.createDataFrame(data, ["Name", "Age"]) + old_table_name = "old_table" + df.write.mode("overwrite").format("delta").saveAsTable(old_table_name) - # Write the DataFrame to a Delta table - old_table_path = f"{tmp_path}/old_table" - df.write.format("delta").save(old_table_path) - - # Load the Delta table - old_table = DeltaTable.forPath(spark, old_table_path) - - # Call the function to rename the Delta table new_table_name = "new_table" - mack.rename_delta_table( - old_table, new_table_name, databricks=False, spark_session=spark - ) + mack.rename_delta_table(old_table_name, new_table_name, spark) # Verify the table has been renamed assert spark._jsparkSession.catalog().tableExists(new_table_name) # Clean up: Drop the new table + spark.sql(f"DROP TABLE IF EXISTS old_table") spark.sql(f"DROP TABLE IF EXISTS {new_table_name}") -