docs: update snippets samples to support version 2.0 (#309)

* docs: update snippets samples to support version 2.0

For some reason, old versions of the google-cloud-bigquery-storage
library were still getting used. This pins those dependencies directly,
instead.

Also, updates the samples to remove warnings about `client.dataset`.

* blacken

samples/snippets/authorized_view_tutorial.py

@@ -27,16 +27,18 @@ def run_authorized_view_tutorial(override_values={}):
 
     client = bigquery.Client()
     source_dataset_id = "github_source_data"
+    source_dataset_id_full = "{}.{}".format(client.project, source_dataset_id)
 
     # [END bigquery_authorized_view_tutorial]
     # [END bigquery_avt_create_source_dataset]
     # To facilitate testing, we replace values with alternatives
     # provided by the testing harness.
     source_dataset_id = override_values.get("source_dataset_id", source_dataset_id)
+    source_dataset_id_full = "{}.{}".format(client.project, source_dataset_id)
     # [START bigquery_authorized_view_tutorial]
     # [START bigquery_avt_create_source_dataset]
 
-    source_dataset = bigquery.Dataset(client.dataset(source_dataset_id))
+    source_dataset = bigquery.Dataset(source_dataset_id_full)
     # Specify the geographic location where the dataset should reside.
     source_dataset.location = "US"
     source_dataset = client.create_dataset(source_dataset)  # API request
@@ -66,16 +68,18 @@ def run_authorized_view_tutorial(override_values={}):
     # Create a separate dataset to store your view
     # [START bigquery_avt_create_shared_dataset]
     shared_dataset_id = "shared_views"
+    shared_dataset_id_full = "{}.{}".format(client.project, shared_dataset_id)
 
     # [END bigquery_authorized_view_tutorial]
     # [END bigquery_avt_create_shared_dataset]
     # To facilitate testing, we replace values with alternatives
     # provided by the testing harness.
     shared_dataset_id = override_values.get("shared_dataset_id", shared_dataset_id)
+    shared_dataset_id_full = "{}.{}".format(client.project, shared_dataset_id)
     # [START bigquery_authorized_view_tutorial]
     # [START bigquery_avt_create_shared_dataset]
 
-    shared_dataset = bigquery.Dataset(client.dataset(shared_dataset_id))
+    shared_dataset = bigquery.Dataset(shared_dataset_id_full)
     shared_dataset.location = "US"
     shared_dataset = client.create_dataset(shared_dataset)  # API request
     # [END bigquery_avt_create_shared_dataset]

samples/snippets/authorized_view_tutorial_test.py

@@ -30,7 +30,7 @@ def datasets_to_delete(client):
     doomed = []
     yield doomed
     for item in doomed:
-        client.delete_dataset(item, delete_contents=True)
+        client.delete_dataset(item, delete_contents=True, not_found_ok=True)
 
 
 def test_authorized_view_tutorial(client, datasets_to_delete):
@@ -42,8 +42,12 @@ def test_authorized_view_tutorial(client, datasets_to_delete):
             str(uuid.uuid4()).replace("-", "_")
         ),
     }
-    source_dataset_ref = client.dataset(override_values["source_dataset_id"])
-    shared_dataset_ref = client.dataset(override_values["shared_dataset_id"])
+    source_dataset_ref = "{}.{}".format(
+        client.project, override_values["source_dataset_id"]
+    )
+    shared_dataset_ref = "{}.{}".format(
+        client.project, override_values["shared_dataset_id"]
+    )
     datasets_to_delete.extend(
         [override_values["source_dataset_id"], override_values["shared_dataset_id"]]
     )

samples/snippets/natality_tutorial.py

@@ -38,13 +38,15 @@ def run_natality_tutorial(override_values={}):
 
     # Prepare a reference to a new dataset for storing the query results.
     dataset_id = "natality_regression"
+    dataset_id_full = "{}.{}".format(client.project, dataset_id)
     # [END bigquery_query_natality_tutorial]
     # To facilitate testing, we replace values with alternatives
     # provided by the testing harness.
     dataset_id = override_values.get("dataset_id", dataset_id)
+    dataset_id_full = "{}.{}".format(client.project, dataset_id)
     # [START bigquery_query_natality_tutorial]
 
-    dataset = bigquery.Dataset(client.dataset(dataset_id))
+    dataset = bigquery.Dataset(dataset_id_full)
 
     # Create the new BigQuery dataset.
     dataset = client.create_dataset(dataset)

samples/snippets/natality_tutorial_test.py

@@ -43,8 +43,8 @@ def test_natality_tutorial(client, datasets_to_delete):
 
     natality_tutorial.run_natality_tutorial(override_values)
 
-    table_ref = bigquery.Dataset(client.dataset(override_values["dataset_id"])).table(
-        "regression_input"
+    table_ref = "{}.{}.{}".format(
+        client.project, override_values["dataset_id"], "regression_input"
     )
     table = client.get_table(table_ref)
     assert table.num_rows > 0

samples/snippets/quickstart.py

@@ -33,8 +33,8 @@ def run_quickstart(override_values={}):
     # [START bigquery_quickstart]
 
     # Prepares a reference to the new dataset
-    dataset_ref = bigquery_client.dataset(dataset_id)
-    dataset = bigquery.Dataset(dataset_ref)
+    dataset_id_full = "{}.{}".format(bigquery_client.project, dataset_id)
+    dataset = bigquery.Dataset(dataset_id_full)
 
     # Creates the new dataset
     dataset = bigquery_client.create_dataset(dataset)

samples/snippets/requirements.txt

@@ -1,6 +1,10 @@
-google-cloud-bigquery[pandas,bqstorage,pyarrow]==2.0.0
+google-cloud-bigquery==2.0.0
+google-cloud-bigquery-storage==2.0.0
 google-auth-oauthlib==0.4.1
+grpcio==1.32.0
 ipython==7.16.1; python_version < '3.7'
 ipython==7.17.0; python_version >= '3.7'
 matplotlib==3.3.1
+pandas==1.1.3
+pyarrow==1.0.1
 pytz==2020.1