get all composite key candidates function added

README.md

@@ -409,6 +409,26 @@ Suppose you have the following Delta table:
 
 Running `mack.find_composite_key_candidates(delta_table)` on that table will return `["col1", "col3"]`.
 
+## Find All possible valid Composite Key Candidates in the Delta table
+
+The `find_all_composite_key_combos` function helps you find all of the possible valid  composite key candidates that 
+uniquely identifies the rows your Delta table.  It returns a list of column combinations that can be used as a 
+composite key.
+
+Suppose you have the following Delta table:
+
+```
++----+----+----+
+|x   |y   |z   |
++----+----+----+
+|   1|   1|   1|
+|   2|   1|   1|
+|   3|   2|   1|
++----+----+----+
+```
+
+Running `mack.find_all_composite_key_combos(delta_table)` on that table will return `["x", "x,y", "x,z", "x,y,z"]`.
+
 ## Append md5 column
 
 The `with_md5_cols` function appends a `md5` hash of specified columns to the DataFrame.  This can be used as a unique key if the selected columns form a composite key.

mack/__init__.py

@@ -3,7 +3,7 @@
 
 from delta import DeltaTable
 import pyspark
-from pyspark.sql.functions import count, col, row_number, md5, concat_ws
+from pyspark.sql.functions import count, col, row_number, md5, concat_ws, collect_set, size, lit
 from pyspark.sql.window import Window
 from pyspark.sql.dataframe import DataFrame
 
@@ -384,6 +384,33 @@ def find_composite_key_candidates(
                 return list(df_col_excluded.select(*c).columns)
 
 
+def find_all_composite_key_combos(
+    df: Union[DeltaTable, DataFrame], exclude_cols: List[str] = None
+):
+    if type(df) == DeltaTable:
+        df = df.toDF()
+    if exclude_cols is None:
+        exclude_cols = []
+    df_col_excluded = df.drop(*exclude_cols)
+    col_select_condition = df_col_excluded.distinct().count()
+    initcols = df_col_excluded.columns
+    for i in range(len(initcols)+1):
+        for c in list(combinations(initcols, i+2)):
+            df_col_excluded = df_col_excluded.withColumn(','.join(c), concat_ws(',', *c))
+    finalcols = df_col_excluded.columns
+    exprs = [size(collect_set(x)).alias(x) for x in finalcols]
+    df_col_excluded = df_col_excluded \
+        .withColumn("column_combos ->", lit("distinct_row_counts ->")) \
+        .groupBy("column_combos ->") \
+        .agg(*exprs)
+    columns = [
+        column for column in df_col_excluded.columns if
+        df_col_excluded.select(column).collect()[0][0] == col_select_condition
+    ]
+    df_col_excluded.select("column_combos ->", *columns).show(truncate=False)
+    return columns
+
+
 def with_md5_cols(
     df: Union[DeltaTable, DataFrame],
     cols: List[str],

tests/test_public_interface.py

@@ -669,6 +669,32 @@ def test_find_composite_key(tmp_path):
     assert composite_keys == expected_keys
 
 
+def test_find_all_composite_key_combos(tmp_path):
+    path = f"{tmp_path}/find_all_composite_key_combos"
+    data = [
+        (1, 1, 1),
+        (2, 1, 1),
+        (3, 2, 1),
+    ]
+    df = spark.createDataFrame(
+        data,
+        [
+            "x",
+            "y",
+            "z",
+        ],
+    )
+    df.write.format("delta").save(path)
+
+    delta_table = DeltaTable.forPath(spark, path)
+
+    composite_keys = mack.find_all_composite_key_combos(delta_table)
+
+    expected_keys = ['x', 'x,y', 'x,z', 'x,y,z']
+
+    assert composite_keys == expected_keys
+
+
 def test_find_composite_key_with_value_error(tmp_path):
     path = f"{tmp_path}/find_composite_key"
     data = [