fix: random rows with filter option

data_validation/data_validation.py

@@ -107,16 +107,20 @@ def _add_random_row_filter(self):
 
         # Filter for only first primary key (multi-pk filter not supported)
         primary_key_info = self.config_manager.primary_keys[0]
+
         query = RandomRowBuilder(
             [primary_key_info[consts.CONFIG_SOURCE_COLUMN]],
             self.config_manager.random_row_batch_size(),
         ).compile(
             self.config_manager.source_client,
             self.config_manager.source_schema,
             self.config_manager.source_table,
+            self.validation_builder.source_builder,
         )
 
         random_rows = self.config_manager.source_client.execute(query)
+        if len(random_rows) == 0:
+            return
         filter_field = {
             consts.CONFIG_TYPE: consts.FILTER_TYPE_ISIN,
             consts.CONFIG_FILTER_SOURCE_COLUMN: primary_key_info[

data_validation/query_builder/random_row_builder.py

@@ -14,20 +14,20 @@
 
 import random
 import logging
+from typing import List
+from io import StringIO
 import ibis
 import ibis.expr.operations as ops
 import ibis.expr.types as tz
 import ibis.expr.rules as rlz
 import ibis.backends.base_sqlalchemy.compiler as sql_compiler
+import ibis.backends.pandas.execution.util as pandas_util
 from ibis_bigquery import BigQueryClient
 from ibis.backends.impala.client import ImpalaClient
 from ibis.backends.pandas.client import PandasClient
-import ibis.backends.pandas.execution.util as pandas_util
-
 from ibis.expr.signature import Argument as Arg
-from typing import List
 from data_validation import clients
-from io import StringIO
+from data_validation.query_builder.query_builder import QueryBuilder
 
 try:
     from third_party.ibis.ibis_teradata.client import TeradataClient
@@ -90,7 +90,11 @@ def __init__(self, primary_keys: List[str], batch_size: int):
         self.batch_size = batch_size
 
     def compile(
-        self, data_client: ibis.client, schema_name: str, table_name: str
+        self,
+        data_client: ibis.client,
+        schema_name: str,
+        table_name: str,
+        query_builder: QueryBuilder,
     ) -> ibis.Expr:
         """Return an Ibis query object
 
@@ -100,7 +104,9 @@ def compile(
             table_name (String): The name of the table to query.
         """
         table = clients.get_ibis_table(data_client, schema_name, table_name)
-        randomly_sorted_table = self.maybe_add_random_sort(data_client, table)
+        compiled_filters = query_builder.compile_filter_fields(table)
+        filtered_table = table.filter(compiled_filters) if compiled_filters else table
+        randomly_sorted_table = self.maybe_add_random_sort(data_client, filtered_table)
         query = randomly_sorted_table.limit(self.batch_size)[self.primary_keys]
 
         return query

tests/system/data_sources/test_bigquery.py

@@ -17,6 +17,8 @@
 from data_validation import __main__ as main
 from data_validation import cli_tools, clients, consts, data_validation, state_manager
 from data_validation.query_builder import random_row_builder
+from data_validation.query_builder.query_builder import QueryBuilder
+
 
 PROJECT_ID = os.environ["PROJECT_ID"]
 os.environ[consts.ENV_DIRECTORY_VAR] = f"gs://{PROJECT_ID}/integration_tests/"
@@ -570,7 +572,10 @@ def test_random_row_query_builder():
     bq_client = clients.get_data_client(BQ_CONN)
     row_query_builder = random_row_builder.RandomRowBuilder(["station_id"], 10)
     query = row_query_builder.compile(
-        bq_client, "bigquery-public-data.new_york_citibike", "citibike_stations"
+        bq_client,
+        "bigquery-public-data.new_york_citibike",
+        "citibike_stations",
+        QueryBuilder([], [], [], [], [], None),
     )
 
     random_rows = bq_client.execute(query)

tests/unit/query_builder/test_random_row_builder.py

@@ -15,6 +15,7 @@
 import pytest
 
 from data_validation import clients
+from data_validation.query_builder.query_builder import QueryBuilder
 
 
 TABLE_FILE_PATH = "table_data.json"
@@ -68,7 +69,9 @@ def test_compile(module_under_test, fs):
     primary_keys = ["col_a"]
     builder = module_under_test.RandomRowBuilder(primary_keys, 10)
 
-    query = builder.compile(client, None, CONN_CONFIG["table_name"])
+    query = builder.compile(
+        client, None, CONN_CONFIG["table_name"], QueryBuilder([], [], [], [], [], None)
+    )
     df = client.execute(query)
 
     assert list(df.columns) == primary_keys