add snippets for joins and explain

morganchen12 · morganchen12 · commit 375df7138232 · 2026-07-31T15:44:28.000-07:00
diff --git a/snippets/firestore/pipeline.py b/snippets/firestore/pipeline.py
@@ -0,0 +1,346 @@
+# 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.
+
+"""Pipeline snippets for Cloud Firestore."""
+
+# pylint: disable=invalid-name
+
+
+def load_test_data(db):
+    # [START pipeline_join_test_data]
+    # Load set of cities.
+    cities = db.collection("cities")
+
+    cities.document("SF").set(
+        {
+            "name": "San Francisco",
+            "state": "CA",
+            "country": "USA",
+        }
+    )
+    cities.document("LA").set(
+        {
+            "name": "Los Angeles",
+            "state": "CA",
+            "country": "USA",
+        }
+    )
+    cities.document("DC").set(
+        {
+            "name": "Washington, D.C.",
+            "state": None,
+            "country": "USA",
+        }
+    )
+    cities.document("TOK").set(
+        {
+            "name": "Tokyo",
+            "state": None,
+            "country": "Japan",
+        }
+    )
+
+    # Load restaurants in various cities.
+    sf_restaurants = db.collection("cities").document("SF").collection("restaurants")
+    la_restaurants = db.collection("cities").document("LA").collection("restaurants")
+    dc_restaurants = db.collection("cities").document("DC").collection("restaurants")
+
+    rest1 = sf_restaurants.add(
+        {
+            "name": "Golden Gate Pizza",
+            "type": "pizza",
+            "owner_id": "Mario Rossi",
+        }
+    )[1]
+    rest2 = sf_restaurants.add(
+        {
+            "name": "Bay Area Burger",
+            "type": "burger",
+            "owner_id": "Sarah Jenkins",
+        }
+    )[1]
+    rest3 = sf_restaurants.add(
+        {
+            "name": "Sunset Taco",
+            "type": "mexican",
+            "owner_id": "Edward",
+        }
+    )[1]
+
+    rest4 = la_restaurants.add(
+        {
+            "name": "Hollywood Sushi",
+            "type": "sushi",
+            "owner_id": "Ken Kenji",
+        }
+    )[1]
+    rest5 = la_restaurants.add(
+        {
+            "name": "Venice Pizza",
+            "type": "pizza",
+            "owner_id": "Luigi Romano",
+        }
+    )[1]
+
+    rest6 = dc_restaurants.add(
+        {
+            "name": "Capitol Tacos",
+            "type": "mexican",
+            "owner_id": "Maria Garcia",
+        }
+    )[1]
+    rest7 = dc_restaurants.add(
+        {
+            "name": "Georgetown Coffee",
+            "type": "cafe",
+            "owner_id": "David Kim",
+        }
+    )[1]
+
+    # Load collection of reviews.
+    reviews = db.collection("reviews")
+
+    reviews.add({"restaurant": rest1, "rating": 5, "reviewer_id": "Alice"})
+    reviews.add({"restaurant": rest1, "rating": 4, "reviewer_id": "Bob"})
+    reviews.add({"restaurant": rest2, "rating": 4, "reviewer_id": "Charlie"})
+    reviews.add({"restaurant": rest3, "rating": 5, "reviewer_id": "Diana"})
+    reviews.add({"restaurant": rest3, "rating": 4, "reviewer_id": "Edward"})
+    reviews.add({"restaurant": rest3, "rating": 4, "reviewer_id": "Fiona"})
+    # rest4 has 0 reviews
+    reviews.add({"restaurant": rest5, "rating": 3, "reviewer_id": "George"})
+    reviews.add({"restaurant": rest6, "rating": 5, "reviewer_id": "Hannah"})
+    reviews.add({"restaurant": rest6, "rating": 4, "reviewer_id": "Ian"})
+    reviews.add({"restaurant": rest7, "rating": 5, "reviewer_id": "Julia"})
+    # [END pipeline_join_test_data]
+
+
+def pipeline_join_lookup(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field, Variable
+
+    # [START pipeline_join_lookup]
+    results = (
+        db.pipeline()
+        .collection_group("reviews")
+        .define(Field.of("restaurant").as_("restaurant_name"))
+        .add_fields(
+            db.pipeline()
+            .collection_group("restaurants")
+            .where(Field.of("__name__").equal(Variable("restaurant_name")))
+            .select("name", "type")
+            .to_scalar_expression()
+            .as_("restaurant")
+        )
+        .execute()
+    )
+    # [END pipeline_join_lookup]
+    return results
+
+
+def pipeline_join_array(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field, Variable
+
+    # [START pipeline_join_array]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .where(Field.of("type").equal("pizza"))
+        .define(Field.of("__name__").as_("restaurant_name"))
+        .select(
+            Field.of("name"),
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("restaurant_name")))
+            .select("rating", "reviewer_id")
+            .to_array_expression()
+            .as_("reviews"),
+        )
+        .execute()
+    )
+    # [END pipeline_join_array]
+    return results
+
+
+def pipeline_join_aggregate(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field, Variable
+
+    # [START pipeline_join_aggregate]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .where(Field.of("type").equal("pizza"))
+        .define(Field.of("__name__").as_("restaurant_name"))
+        .select(
+            Field.of("name"),
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("restaurant_name")))
+            .aggregate(Field.of("rating").average().as_("avg_rating"))
+            .to_scalar_expression()
+            .as_("avg_rating"),
+        )
+        .execute()
+    )
+    # [END pipeline_join_aggregate]
+    return results
+
+
+def pipeline_join_limit(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field, Variable
+
+    # [START pipeline_join_limit]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .define(Field.of("__name__").as_("restaurant_name"))
+        .select(
+            Field.of("name"),
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("restaurant_name")))
+            .sort(Field.of("rating").descending())
+            .limit(2)
+            .select("rating", "reviewer_id")
+            .to_array_expression()
+            .as_("top_reviews"),
+        )
+        .execute()
+    )
+    # [END pipeline_join_limit]
+    return results
+
+
+def pipeline_join_subcollection(db):
+    from google.cloud.firestore_v1.pipeline_source import PipelineSource
+
+    # [START pipeline_join_subcollection]
+    results = (
+        db.pipeline()
+        .collection("cities")
+        .add_fields(
+            PipelineSource.subcollection("restaurants")
+            .to_array_expression()
+            .length()
+            .as_("restaurant_count")
+        )
+        .execute()
+    )
+    # [END pipeline_join_subcollection]
+    return results
+
+
+def pipeline_join_multi_field(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Count, Field, Variable
+
+    # [START pipeline_join_multi_field]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .define(
+            Field.of("owner_id").as_("owner_id"),
+            Field.of("__name__").as_("__name__"),
+        )
+        .where(
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("__name__")))
+            .where(Field.of("author").equal(Variable("owner_id")))
+            .aggregate(Count().as_("c"))
+            .to_scalar_expression()
+            .greater_than(0)
+        )
+        .execute()
+    )
+    # [END pipeline_join_multi_field]
+    return results
+
+
+def pipeline_join_anti(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Count, Field, Variable
+
+    # [START pipeline_join_anti]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .define(Field.of("__name__").as_("restaurant_name"))
+        .where(
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("restaurant_name")))
+            .aggregate(Count().as_("review_count"))
+            .to_scalar_expression()
+            .equal(0)
+        )
+        .execute()
+    )
+    # [END pipeline_join_anti]
+    return results
+
+
+def pipeline_join_unnest(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field, Variable
+
+    # [START pipeline_join_unnest]
+    results = (
+        db.pipeline()
+        .collection_group("restaurants")
+        .where(Field.of("type").equal("pizza"))
+        .define(Field.of("__name__").as_("restaurant_name"))
+        .unnest(
+            db.pipeline()
+            .collection_group("reviews")
+            .where(Field.of("restaurant").equal(Variable("restaurant_name")))
+            .select("rating", "reviewer_id")
+            .to_array_expression(),
+            alias="review",
+        )
+        .execute()
+    )
+    # [END pipeline_join_unnest]
+    return results
+
+
+def pipeline_join_uncorrelated(db):
+    from google.cloud.firestore_v1.pipeline_expressions import Field
+
+    # [START pipeline_join_uncorrelated]
+    results = (
+        db.pipeline()
+        .collection("reviews")
+        # Average review rating is 4.3
+        .where(
+            Field.of("rating").greater_than(
+                db.pipeline()
+                .collection("reviews")
+                .aggregate(Field.of("rating").average().as_("avg"))
+                .to_scalar_expression()
+            )
+        )
+        .select("rating", "reviewer_id")
+        .execute()
+    )
+    # [END pipeline_join_uncorrelated]
+    return results
+
+
+def pipeline_force_table_scan(db):
+    # [START pipeline_force_table_scan]
+    # Force Planner to only do a Full-Table Scan
+    results = (
+        db.pipeline()
+        .collection_group("customers")
+        .limit(100)
+        .execute()
+    )
+    # [END pipeline_force_table_scan]
+    return results
