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fix: validate job_config.source_format in load_table_from_dataframe (#…
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…262)

* fix: address job_congig.source_format

* fix: nit
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HemangChothani authored Sep 18, 2020
1 parent ae647eb commit 6160fee
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Showing 2 changed files with 85 additions and 3 deletions.
10 changes: 9 additions & 1 deletion google/cloud/bigquery/client.py
Original file line number Diff line number Diff line change
Expand Up @@ -2174,7 +2174,15 @@ def load_table_from_dataframe(
else:
job_config = job.LoadJobConfig()

job_config.source_format = job.SourceFormat.PARQUET
if job_config.source_format:
if job_config.source_format != job.SourceFormat.PARQUET:
raise ValueError(
"Got unexpected source_format: '{}'. Currently, only PARQUET is supported".format(
job_config.source_format
)
)
else:
job_config.source_format = job.SourceFormat.PARQUET

if location is None:
location = self.location
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78 changes: 76 additions & 2 deletions tests/unit/test_client.py
Original file line number Diff line number Diff line change
Expand Up @@ -7544,7 +7544,7 @@ def test_load_table_from_dataframe_w_client_location(self):

@unittest.skipIf(pandas is None, "Requires `pandas`")
@unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
def test_load_table_from_dataframe_w_custom_job_config(self):
def test_load_table_from_dataframe_w_custom_job_config_wihtout_source_format(self):
from google.cloud.bigquery.client import _DEFAULT_NUM_RETRIES
from google.cloud.bigquery import job
from google.cloud.bigquery.schema import SchemaField
Expand All @@ -7553,7 +7553,7 @@ def test_load_table_from_dataframe_w_custom_job_config(self):
records = [{"id": 1, "age": 100}, {"id": 2, "age": 60}]
dataframe = pandas.DataFrame(records)
job_config = job.LoadJobConfig(
write_disposition=job.WriteDisposition.WRITE_TRUNCATE
write_disposition=job.WriteDisposition.WRITE_TRUNCATE,
)
original_config_copy = copy.deepcopy(job_config)

Expand Down Expand Up @@ -7595,6 +7595,80 @@ def test_load_table_from_dataframe_w_custom_job_config(self):
# the original config object should not have been modified
assert job_config.to_api_repr() == original_config_copy.to_api_repr()

@unittest.skipIf(pandas is None, "Requires `pandas`")
@unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
def test_load_table_from_dataframe_w_custom_job_config_w_source_format(self):
from google.cloud.bigquery.client import _DEFAULT_NUM_RETRIES
from google.cloud.bigquery import job
from google.cloud.bigquery.schema import SchemaField

client = self._make_client()
records = [{"id": 1, "age": 100}, {"id": 2, "age": 60}]
dataframe = pandas.DataFrame(records)
job_config = job.LoadJobConfig(
write_disposition=job.WriteDisposition.WRITE_TRUNCATE,
source_format=job.SourceFormat.PARQUET,
)
original_config_copy = copy.deepcopy(job_config)

get_table_patch = mock.patch(
"google.cloud.bigquery.client.Client.get_table",
autospec=True,
return_value=mock.Mock(
schema=[SchemaField("id", "INTEGER"), SchemaField("age", "INTEGER")]
),
)
load_patch = mock.patch(
"google.cloud.bigquery.client.Client.load_table_from_file", autospec=True
)
with load_patch as load_table_from_file, get_table_patch as get_table:
client.load_table_from_dataframe(
dataframe, self.TABLE_REF, job_config=job_config, location=self.LOCATION
)

# no need to fetch and inspect table schema for WRITE_TRUNCATE jobs
assert not get_table.called

load_table_from_file.assert_called_once_with(
client,
mock.ANY,
self.TABLE_REF,
num_retries=_DEFAULT_NUM_RETRIES,
rewind=True,
job_id=mock.ANY,
job_id_prefix=None,
location=self.LOCATION,
project=None,
job_config=mock.ANY,
)

sent_config = load_table_from_file.mock_calls[0][2]["job_config"]
assert sent_config.source_format == job.SourceFormat.PARQUET
assert sent_config.write_disposition == job.WriteDisposition.WRITE_TRUNCATE

# the original config object should not have been modified
assert job_config.to_api_repr() == original_config_copy.to_api_repr()

@unittest.skipIf(pandas is None, "Requires `pandas`")
@unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
def test_load_table_from_dataframe_w_custom_job_config_w_wrong_source_format(self):
from google.cloud.bigquery import job

client = self._make_client()
records = [{"id": 1, "age": 100}, {"id": 2, "age": 60}]
dataframe = pandas.DataFrame(records)
job_config = job.LoadJobConfig(
write_disposition=job.WriteDisposition.WRITE_TRUNCATE,
source_format=job.SourceFormat.ORC,
)

with pytest.raises(ValueError) as exc:
client.load_table_from_dataframe(
dataframe, self.TABLE_REF, job_config=job_config, location=self.LOCATION
)

assert "Got unexpected source_format:" in str(exc.value)

@unittest.skipIf(pandas is None, "Requires `pandas`")
@unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
def test_load_table_from_dataframe_w_automatic_schema(self):
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