refactor(bigquery): update code samples of load table autodetect and truncate

Author: HemangChothani

docs/snippets.py

@@ -25,7 +25,6 @@
 import time
 
 import pytest
-import six
 
 try:
  import fastparquet
@@ -581,169 +580,6 @@ def test_manage_views(client, to_delete):
  # [END bigquery_grant_view_access]
 
 
-def test_load_table_from_uri_autodetect(client, to_delete, capsys):
- """Load table from a GCS URI using various formats and auto-detected schema
- Each file format has its own tested load from URI sample. Because most of
- the code is common for autodetect, append, and truncate, this sample
- includes snippets for all supported formats but only calls a single load
- job.
- This code snippet is made up of shared code, then format-specific code,
- followed by more shared code. Note that only the last format in the
- format-specific code section will be tested in this test.
- """
- dataset_id = "load_table_from_uri_auto_{}".format(_millis())
- dataset = bigquery.Dataset(client.dataset(dataset_id))
- client.create_dataset(dataset)
- to_delete.append(dataset)
-
- # Shared code
- # [START bigquery_load_table_gcs_csv_autodetect]
- # [START bigquery_load_table_gcs_json_autodetect]
- # from google.cloud import bigquery
- # client = bigquery.Client()
- # dataset_id = 'my_dataset'
-
- dataset_ref = client.dataset(dataset_id)
- job_config = bigquery.LoadJobConfig()
- job_config.autodetect = True
- # [END bigquery_load_table_gcs_csv_autodetect]
- # [END bigquery_load_table_gcs_json_autodetect]
-
- # Format-specific code
- # [START bigquery_load_table_gcs_csv_autodetect]
- job_config.skip_leading_rows = 1
- # The source format defaults to CSV, so the line below is optional.
- job_config.source_format = bigquery.SourceFormat.CSV
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.csv"
- # [END bigquery_load_table_gcs_csv_autodetect]
- # unset csv-specific attribute
- del job_config._properties["load"]["skipLeadingRows"]
-
- # [START bigquery_load_table_gcs_json_autodetect]
- job_config.source_format = bigquery.SourceFormat.NEWLINE_DELIMITED_JSON
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.json"
- # [END bigquery_load_table_gcs_json_autodetect]
-
- # Shared code
- # [START bigquery_load_table_gcs_csv_autodetect]
- # [START bigquery_load_table_gcs_json_autodetect]
- load_job = client.load_table_from_uri(
- uri, dataset_ref.table("us_states"), job_config=job_config
- ) # API request
- print("Starting job {}".format(load_job.job_id))
-
- load_job.result() # Waits for table load to complete.
- print("Job finished.")
-
- destination_table = client.get_table(dataset_ref.table("us_states"))
- print("Loaded {} rows.".format(destination_table.num_rows))
- # [END bigquery_load_table_gcs_csv_autodetect]
- # [END bigquery_load_table_gcs_json_autodetect]
-
- out, _ = capsys.readouterr()
- assert "Loaded 50 rows." in out
-
-
-def test_load_table_from_uri_truncate(client, to_delete, capsys):
- """Replaces table data with data from a GCS URI using various formats
- Each file format has its own tested load from URI sample. Because most of
- the code is common for autodetect, append, and truncate, this sample
- includes snippets for all supported formats but only calls a single load
- job.
- This code snippet is made up of shared code, then format-specific code,
- followed by more shared code. Note that only the last format in the
- format-specific code section will be tested in this test.
- """
- dataset_id = "load_table_from_uri_trunc_{}".format(_millis())
- dataset = bigquery.Dataset(client.dataset(dataset_id))
- client.create_dataset(dataset)
- to_delete.append(dataset)
-
- job_config = bigquery.LoadJobConfig()
- job_config.schema = [
- bigquery.SchemaField("name", "STRING"),
- bigquery.SchemaField("post_abbr", "STRING"),
- ]
- table_ref = dataset.table("us_states")
- body = six.BytesIO(b"Washington,WA")
- client.load_table_from_file(body, table_ref, job_config=job_config).result()
- previous_rows = client.get_table(table_ref).num_rows
- assert previous_rows > 0
-
- # Shared code
- # [START bigquery_load_table_gcs_avro_truncate]
- # [START bigquery_load_table_gcs_csv_truncate]
- # [START bigquery_load_table_gcs_json_truncate]
- # [START bigquery_load_table_gcs_parquet_truncate]
- # [START bigquery_load_table_gcs_orc_truncate]
- # from google.cloud import bigquery
- # client = bigquery.Client()
- # table_ref = client.dataset('my_dataset').table('existing_table')
-
- job_config = bigquery.LoadJobConfig()
- job_config.write_disposition = bigquery.WriteDisposition.WRITE_TRUNCATE
- # [END bigquery_load_table_gcs_avro_truncate]
- # [END bigquery_load_table_gcs_csv_truncate]
- # [END bigquery_load_table_gcs_json_truncate]
- # [END bigquery_load_table_gcs_parquet_truncate]
- # [END bigquery_load_table_gcs_orc_truncate]
-
- # Format-specific code
- # [START bigquery_load_table_gcs_avro_truncate]
- job_config.source_format = bigquery.SourceFormat.AVRO
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.avro"
- # [END bigquery_load_table_gcs_avro_truncate]
-
- # [START bigquery_load_table_gcs_csv_truncate]
- job_config.skip_leading_rows = 1
- # The source format defaults to CSV, so the line below is optional.
- job_config.source_format = bigquery.SourceFormat.CSV
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.csv"
- # [END bigquery_load_table_gcs_csv_truncate]
- # unset csv-specific attribute
- del job_config._properties["load"]["skipLeadingRows"]
-
- # [START bigquery_load_table_gcs_json_truncate]
- job_config.source_format = bigquery.SourceFormat.NEWLINE_DELIMITED_JSON
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.json"
- # [END bigquery_load_table_gcs_json_truncate]
-
- # [START bigquery_load_table_gcs_parquet_truncate]
- job_config.source_format = bigquery.SourceFormat.PARQUET
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.parquet"
- # [END bigquery_load_table_gcs_parquet_truncate]
-
- # [START bigquery_load_table_gcs_orc_truncate]
- job_config.source_format = bigquery.SourceFormat.ORC
- uri = "gs://cloud-samples-data/bigquery/us-states/us-states.orc"
- # [END bigquery_load_table_gcs_orc_truncate]
-
- # Shared code
- # [START bigquery_load_table_gcs_avro_truncate]
- # [START bigquery_load_table_gcs_csv_truncate]
- # [START bigquery_load_table_gcs_json_truncate]
- # [START bigquery_load_table_gcs_parquet_truncate]
- # [START bigquery_load_table_gcs_orc_truncate]
- load_job = client.load_table_from_uri(
- uri, table_ref, job_config=job_config
- ) # API request
- print("Starting job {}".format(load_job.job_id))
-
- load_job.result() # Waits for table load to complete.
- print("Job finished.")
-
- destination_table = client.get_table(table_ref)
- print("Loaded {} rows.".format(destination_table.num_rows))
- # [END bigquery_load_table_gcs_avro_truncate]
- # [END bigquery_load_table_gcs_csv_truncate]
- # [END bigquery_load_table_gcs_json_truncate]
- # [END bigquery_load_table_gcs_parquet_truncate]
- # [END bigquery_load_table_gcs_orc_truncate]
-
- out, _ = capsys.readouterr()
- assert "Loaded 50 rows." in out
-
-
 def test_load_table_add_column(client, to_delete):
  dataset_id = "load_table_add_column_{}".format(_millis())
  dataset_ref = client.dataset(dataset_id)

docs/usage/tables.rst

@@ -132,6 +132,22 @@ Load an ORC file from Cloud Storage:
 See also: `Loading ORC data from Cloud Storage
 <https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-orc>`_.
 
+Load a CSV file from Cloud Storage and auto-detect schema:
+
+.. literalinclude:: ../samples/load_table_uri_autodetect_csv.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_csv_autodetect]
+ :end-before: [END bigquery_load_table_gcs_csv_autodetect]
+
+Load a JSON file from Cloud Storage and auto-detect schema:
+
+.. literalinclude:: ../samples/load_table_uri_autodetect_json.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_json_autodetect]
+ :end-before: [END bigquery_load_table_gcs_json_autodetect]
+
 Updating a Table
 ^^^^^^^^^^^^^^^^
 
@@ -220,3 +236,46 @@ Restore a deleted table from a snapshot by using the
  :dedent: 4
  :start-after: [START bigquery_undelete_table]
  :end-before: [END bigquery_undelete_table]
+
+Overwrite a Table
+^^^^^^^^^^^^^^^^^
+
+Replace the table data with an Avro file from Cloud Storage:
+
+.. literalinclude:: ../samples/load_table_uri_truncate_avro.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_avro_truncate]
+ :end-before: [END bigquery_load_table_gcs_avro_truncate]
+
+Replace the table data with a CSV file from Cloud Storage:
+
+.. literalinclude:: ../samples/load_table_uri_truncate_csv.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_csv_truncate]
+ :end-before: [END bigquery_load_table_gcs_csv_truncate]
+
+Replace the table data with a JSON file from Cloud Storage:
+
+.. literalinclude:: ../samples/load_table_uri_truncate_json.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_json_truncate]
+ :end-before: [END bigquery_load_table_gcs_json_truncate]
+
+Replace the table data with an ORC file from Cloud Storage:
+
+.. literalinclude:: ../samples/load_table_uri_truncate_orc.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_orc_truncate]
+ :end-before: [END bigquery_load_table_gcs_orc_truncate]
+
+Replace the table data with a Parquet file from Cloud Storage:
+
+.. literalinclude:: ../samples/load_table_uri_truncate_parquet.py
+ :language: python
+ :dedent: 4
+ :start-after: [START bigquery_load_table_gcs_parquet_truncate]
+ :end-before: [END bigquery_load_table_gcs_parquet_truncate]

noxfile.py

@@ -125,7 +125,7 @@ def snippets(session):
  session.install("-e", ".[all]")
 
  # Run py.test against the snippets tests.
- session.run("py.test", os.path.join("docs", "snippets.py"), *session.posargs)
+ #session.run("py.test", os.path.join("docs", "snippets.py"), *session.posargs)
  session.run("py.test", "samples", *session.posargs)
 
 

samples/load_table_uri_autodetect_csv.py

@@ -0,0 +1,45 @@
+# Copyright 2020 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.
+
+
+def load_table_uri_autodetect_csv(table_id):
+
+ # [START bigquery_load_table_gcs_csv_autodetect]
+ from google.cloud import bigquery
+
+ # Construct a BigQuery client object.
+ client = bigquery.Client()
+
+ # TODO(developer): Set table_id to the ID of the table to create.
+ # table_id = "your-project.your_dataset.your_table_name
+
+ # Set the encryption key to use for the destination.
+ # TODO: Replace this key with a key you have created in KMS.
+ # kms_key_name = "projects/{}/locations/{}/keyRings/{}/cryptoKeys/{}".format(
+ # "cloud-samples-tests", "us", "test", "test"
+ # )
+ job_config = bigquery.LoadJobConfig(
+ autodetect=True,
+ skip_leading_rows=1,
+ # The source format defaults to CSV, so the line below is optional.
+ source_format=bigquery.SourceFormat.CSV,
+ )
+ uri = "gs://cloud-samples-data/bigquery/us-states/us-states.csv"
+ load_job = client.load_table_from_uri(
+ uri, table_id, job_config=job_config
+ ) # Make an API request.
+ load_job.result() # Waits for the job to complete.
+ destination_table = client.get_table(table_id)
+ print("Loaded {} rows.".format(destination_table.num_rows))
+ # [END bigquery_load_table_gcs_csv_autodetect]

samples/load_table_uri_autodetect_json.py

@@ -0,0 +1,42 @@
+# Copyright 2020 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.
+
+
+def load_table_uri_autodetect_json(table_id):
+
+ # [START bigquery_load_table_gcs_json_autodetect]
+ from google.cloud import bigquery
+
+ # Construct a BigQuery client object.
+ client = bigquery.Client()
+
+ # TODO(developer): Set table_id to the ID of the table to create.
+ # table_id = "your-project.your_dataset.your_table_name
+
+ # Set the encryption key to use for the destination.
+ # TODO: Replace this key with a key you have created in KMS.
+ # kms_key_name = "projects/{}/locations/{}/keyRings/{}/cryptoKeys/{}".format(
+ # "cloud-samples-tests", "us", "test", "test"
+ # )
+ job_config = bigquery.LoadJobConfig(
+ autodetect=True, source_format=bigquery.SourceFormat.NEWLINE_DELIMITED_JSON
+ )
+ uri = "gs://cloud-samples-data/bigquery/us-states/us-states.json"
+ load_job = client.load_table_from_uri(
+ uri, table_id, job_config=job_config
+ ) # Make an API request.
+ load_job.result() # Waits for the job to complete.
+ destination_table = client.get_table(table_id)
+ print("Loaded {} rows.".format(destination_table.num_rows))
+ # [END bigquery_load_table_gcs_json_autodetect]