add isin sql

Author: chelsea-lin

tests/unit/core/compile/sqlglot/snapshots/test_compile_isin/test_compile_isin/out.sql

@@ -0,0 +1,39 @@
+SELECT
+  `t2`.`bfuid_col_1` AS `rowindex`,
+  EXISTS(
+    SELECT
+      1
+    FROM (
+      SELECT
+        `t3`.`column_0`
+      FROM (
+        SELECT
+          *
+        FROM (
+          SELECT
+            *
+          FROM UNNEST(ARRAY<STRUCT<`column_0` FLOAT64>>[STRUCT(314159.0), STRUCT(2.0), STRUCT(3.0), STRUCT(CAST(NULL AS FLOAT64))]) AS `column_0`
+        ) AS `t1`
+      ) AS `t3`
+      GROUP BY
+        1
+    ) AS `t4`
+    WHERE
+      (
+        COALESCE(`t2`.`int64_col`, 0) = COALESCE(`t4`.`column_0`, 0)
+      )
+      AND (
+        COALESCE(`t2`.`int64_col`, 1) = COALESCE(`t4`.`column_0`, 1)
+      )
+  ) AS `int64_col`
+FROM (
+  SELECT
+    `t0`.`rowindex` AS `bfuid_col_1`,
+    `t0`.`int64_col`
+  FROM (
+    SELECT
+      `int64_col`,
+      `rowindex`
+    FROM `bigframes-dev.sqlglot_test.scalar_types` FOR SYSTEM_TIME AS OF DATETIME('2025-08-26T20:51:00.718609')
+  ) AS `t0`
+) AS `t2`

tests/unit/core/compile/sqlglot/test_compile_isin.py

@@ -0,0 +1,30 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pandas as pd
+import pytest
+
+import bigframes
+import bigframes.pandas as bpd
+
+pytest.importorskip("pytest_snapshot")
+
+
+def test_compile_isin(
+    scalar_types_df: bpd.DataFrame, compiler_session: bigframes.Session, snapshot
+):
+    data = [314159, 2.0, 3, pd.NA]
+    s = bpd.Series(data, session=compiler_session)
+    bf_isin = scalar_types_df["int64_col"].isin(s).to_frame()
+    snapshot.assert_match(bf_isin.sql, "out.sql")