Added support for schema auto-detection feature in the job method `Lo…

bigquery/google/cloud/bigquery/job.py

@@ -80,6 +80,20 @@ def _error_result_to_exception(error_result):
         status_code, error_result.get('message', ''), errors=[error_result])
 
 
+class AutoDetectSchema(_TypedProperty):
+    """Typed Property for ``autodetect`` properties.
+
+    :raises ValueError: on ``set`` operation if ``instance.schema``
+                        is already defined.
+    """
+    def __set__(self, instance, value):
+        self._validate(value)
+        if instance.schema:
+            raise ValueError('A schema should not be already defined '
+                             'when using schema auto-detection')
+        setattr(instance._configuration, self._backing_name, value)
+
+
 class Compression(_EnumProperty):
     """Pseudo-enum for ``compression`` properties."""
     GZIP = 'GZIP'
@@ -505,6 +519,7 @@ class _LoadConfiguration(object):
     """
     _allow_jagged_rows = None
     _allow_quoted_newlines = None
+    _autodetect = None
     _create_disposition = None
     _encoding = None
     _field_delimiter = None
@@ -544,9 +559,10 @@ def __init__(self, name, destination, source_uris, client, schema=()):
         super(LoadTableFromStorageJob, self).__init__(name, client)
         self.destination = destination
         self.source_uris = source_uris
-        # Let the @property do validation.
-        self.schema = schema
         self._configuration = _LoadConfiguration()
+        # Let the @property do validation. This must occur after all other
+        # attributes have been set.
+        self.schema = schema
 
     @property
     def schema(self):
@@ -564,12 +580,20 @@ def schema(self, value):
         :type value: list of :class:`SchemaField`
         :param value: fields describing the schema
 
-        :raises: TypeError if 'value' is not a sequence, or ValueError if
-                 any item in the sequence is not a SchemaField
+        :raises TypeError: If ``value`is not a sequence.
+        :raises ValueError: If any item in the sequence is not
+                            a ``SchemaField``.
         """
-        if not all(isinstance(field, SchemaField) for field in value):
-            raise ValueError('Schema items must be fields')
-        self._schema = tuple(value)
+        if not value:
+            self._schema = ()
+        else:
+            if not all(isinstance(field, SchemaField) for field in value):
+                raise ValueError('Schema items must be fields')
+            if self.autodetect:
+                raise ValueError(
+                    'Schema can not be set if `autodetect` property is True')
+
+            self._schema = tuple(value)
 
     @property
     def input_file_bytes(self):
@@ -625,6 +649,11 @@ def output_rows(self):
     https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.allowQuotedNewlines
     """
 
+    autodetect = AutoDetectSchema('autodetect', bool)
+    """See
+    https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.autodetect
+    """
+
     create_disposition = CreateDisposition('create_disposition')
     """See
     https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.createDisposition
@@ -676,6 +705,8 @@ def _populate_config_resource(self, configuration):
             configuration['allowJaggedRows'] = self.allow_jagged_rows
         if self.allow_quoted_newlines is not None:
             configuration['allowQuotedNewlines'] = self.allow_quoted_newlines
+        if self.autodetect is not None:
+            configuration['autodetect'] = self.autodetect
         if self.create_disposition is not None:
             configuration['createDisposition'] = self.create_disposition
         if self.encoding is not None:

bigquery/tests/system.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import base64
+import csv
 import datetime
 import json
 import operator
@@ -21,6 +22,8 @@
 import unittest
 import uuid
 
+import six
+
 from google.cloud import bigquery
 from google.cloud._helpers import UTC
 from google.cloud.bigquery import dbapi
@@ -290,8 +293,6 @@ def test_update_table(self):
 
     @staticmethod
     def _fetch_single_page(table):
-        import six
-
         iterator = table.fetch_data()
         page = six.next(iterator.pages)
         return list(page)
@@ -341,7 +342,6 @@ def test_insert_data_then_dump_table(self):
                          sorted(ROWS, key=by_age))
 
     def test_load_table_from_local_file_then_dump_table(self):
-        import csv
         from google.cloud._testing import _NamedTemporaryFile
 
         ROWS = [
@@ -432,7 +432,6 @@ def test_load_table_from_local_avro_file_then_dump_table(self):
                          sorted(ROWS, key=by_wavelength))
 
     def test_load_table_from_storage_then_dump_table(self):
-        import csv
         from google.cloud._testing import _NamedTemporaryFile
         from google.cloud.storage import Client as StorageClient
 
@@ -448,11 +447,11 @@ def test_load_table_from_storage_then_dump_table(self):
         ]
         TABLE_NAME = 'test_table'
 
-        s_client = StorageClient()
+        storage_client = StorageClient()
 
         # In the **very** rare case the bucket name is reserved, this
         # fails with a ConnectionError.
-        bucket = s_client.create_bucket(BUCKET_NAME)
+        bucket = storage_client.create_bucket(BUCKET_NAME)
         self.to_delete.append(bucket)
 
         blob = bucket.blob(BLOB_NAME)
@@ -501,6 +500,75 @@ def test_load_table_from_storage_then_dump_table(self):
         self.assertEqual(sorted(rows, key=by_age),
                          sorted(ROWS, key=by_age))
 
+    def test_load_table_from_storage_w_autodetect_schema(self):
+        from google.cloud._testing import _NamedTemporaryFile
+        from google.cloud.storage import Client as StorageClient
+        from google.cloud.bigquery import SchemaField
+
+        local_id = unique_resource_id()
+        bucket_name = 'bq_load_test' + local_id
+        blob_name = 'person_ages.csv'
+        gs_url = 'gs://{}/{}'.format(bucket_name, blob_name)
+        rows = [
+            ('Phred Phlyntstone', 32),
+            ('Bharney Rhubble', 33),
+            ('Wylma Phlyntstone', 29),
+            ('Bhettye Rhubble', 27),
+        ] * 100  # BigQuery internally uses the first 100 rows to detect schema
+        table_name = 'test_table'
+
+        storage_client = StorageClient()
+
+        # In the **very** rare case the bucket name is reserved, this
+        # fails with a ConnectionError.
+        bucket = storage_client.create_bucket(bucket_name)
+        self.to_delete.append(bucket)
+
+        blob = bucket.blob(blob_name)
+
+        with _NamedTemporaryFile() as temp:
+            with open(temp.name, 'w') as csv_write:
+                writer = csv.writer(csv_write)
+                writer.writerow(('Full Name', 'Age'))
+                writer.writerows(rows)
+
+            with open(temp.name, 'rb') as csv_read:
+                blob.upload_from_file(csv_read, content_type='text/csv')
+
+        self.to_delete.insert(0, blob)
+
+        dataset = Config.CLIENT.dataset(
+            _make_dataset_name('load_gcs_then_dump'))
+
+        retry_403(dataset.create)()
+        self.to_delete.append(dataset)
+
+        table = dataset.table(table_name)
+        self.to_delete.insert(0, table)
+
+        job = Config.CLIENT.load_table_from_storage(
+            'bq_load_storage_test_' + local_id, table, gs_url)
+        job.autodetect = True
+
+        job.begin()
+
+        # Allow for 90 seconds of "warm up" before rows visible.  See
+        # https://cloud.google.com/bigquery/streaming-data-into-bigquery#dataavailability
+        # 8 tries -> 1 + 2 + 4 + 8 + 16 + 32 + 64 = 127 seconds
+        retry = RetryInstanceState(_job_done, max_tries=8)
+        retry(job.reload)()
+
+        table.reload()
+        field_name = SchemaField(
+            u'Full_Name', u'string', u'NULLABLE', None, ())
+        field_age = SchemaField(u'Age', u'integer', u'NULLABLE', None, ())
+        self.assertEqual(table.schema, [field_name, field_age])
+
+        actual_rows = self._fetch_single_page(table)
+        by_age = operator.itemgetter(1)
+        self.assertEqual(
+            sorted(actual_rows, key=by_age), sorted(rows, key=by_age))
+
     def test_job_cancel(self):
         DATASET_NAME = _make_dataset_name('job_cancel')
         JOB_NAME = 'fetch_' + DATASET_NAME
@@ -674,7 +742,6 @@ def test_dbapi_w_standard_sql_types(self):
             self.assertIsNone(row)
 
     def _load_table_for_dml(self, rows, dataset_name, table_name):
-        import csv
         from google.cloud._testing import _NamedTemporaryFile
 
         dataset = Config.CLIENT.dataset(dataset_name)

bigquery/tests/unit/test_job.py

@@ -189,6 +189,11 @@ def _verifyBooleanConfigProperties(self, job, config):
                              config['allowQuotedNewlines'])
         else:
             self.assertIsNone(job.allow_quoted_newlines)
+        if 'autodetect' in config:
+            self.assertEqual(
+                job.autodetect, config['autodetect'])
+        else:
+            self.assertIsNone(job.autodetect)
         if 'ignoreUnknownValues' in config:
             self.assertEqual(job.ignore_unknown_values,
                              config['ignoreUnknownValues'])
@@ -277,6 +282,7 @@ def test_ctor(self):
         # set/read from resource['configuration']['load']
         self.assertIsNone(job.allow_jagged_rows)
         self.assertIsNone(job.allow_quoted_newlines)
+        self.assertIsNone(job.autodetect)
         self.assertIsNone(job.create_disposition)
         self.assertIsNone(job.encoding)
         self.assertIsNone(job.field_delimiter)
@@ -326,6 +332,41 @@ def test_schema_setter(self):
         job.schema = [full_name, age]
         self.assertEqual(job.schema, [full_name, age])
 
+    def test_schema_setter_w_autodetect(self):
+        from google.cloud.bigquery.schema import SchemaField
+
+        client = _Client(self.PROJECT)
+        table = _Table()
+        full_name = SchemaField('full_name', 'STRING')
+        job = self._make_one(self.JOB_NAME, table, [self.SOURCE1], client)
+        job.autodetect = False
+        job.schema = [full_name]
+        self.assertEqual(job.schema, [full_name])
+
+        job = self._make_one(self.JOB_NAME, table, [self.SOURCE1], client)
+        job.autodetect = True
+        with self.assertRaises(ValueError):
+            job.schema = [full_name]
+
+    def test_autodetect_setter_w_schema(self):
+        from google.cloud.bigquery.schema import SchemaField
+
+        client = _Client(self.PROJECT)
+        table = _Table()
+        full_name = SchemaField('full_name', 'STRING')
+        job = self._make_one(self.JOB_NAME, table, [self.SOURCE1], client)
+
+        job.autodetect = True
+        job.schema = []
+        self.assertEqual(job.schema, [])
+
+        job.autodetect = False
+        job.schema = [full_name]
+        self.assertEqual(job.autodetect, False)
+
+        with self.assertRaises(ValueError):
+            job.autodetect = True
+
     def test_props_set_by_server(self):
         import datetime
         from google.cloud._helpers import UTC
@@ -491,6 +532,47 @@ def test_begin_w_bound_client(self):
         self.assertEqual(req['data'], SENT)
         self._verifyResourceProperties(job, RESOURCE)
 
+    def test_begin_w_autodetect(self):
+        path = '/projects/{}/jobs'.format(self.PROJECT)
+        resource = self._makeResource()
+        resource['configuration']['load']['autodetect'] = True
+        # Ensure None for missing server-set props
+        del resource['statistics']['creationTime']
+        del resource['etag']
+        del resource['selfLink']
+        del resource['user_email']
+        conn = _Connection(resource)
+        client = _Client(project=self.PROJECT, connection=conn)
+        table = _Table()
+        job = self._make_one(self.JOB_NAME, table, [self.SOURCE1], client)
+        job.autodetect = True
+        job.begin()
+
+        sent = {
+            'jobReference': {
+                'projectId': self.PROJECT,
+                'jobId': self.JOB_NAME,
+            },
+            'configuration': {
+                'load': {
+                    'sourceUris': [self.SOURCE1],
+                    'destinationTable': {
+                        'projectId': self.PROJECT,
+                        'datasetId': self.DS_NAME,
+                        'tableId': self.TABLE_NAME,
+                    },
+                    'autodetect': True
+                },
+            },
+        }
+        expected_request = {
+            'method': 'POST',
+            'path': path,
+            'data': sent,
+        }
+        self.assertEqual(conn._requested, [expected_request])
+        self._verifyResourceProperties(job, resource)
+
     def test_begin_w_alternate_client(self):
         from google.cloud.bigquery.schema import SchemaField