tests.system.test_to_gbq: test_series_round_trip[load_parquet-input_series1-api_methods1] failed

[flaky-bot]

Note: #439 was also for this test, but it was closed more than 10 days ago. So, I didn't mark it flaky.

---

commit: e596b74
buildURL: Build Status, Sponge
status: failed

Test output

self = 
dataframe =      test_col   test_col2
0  Skywalker™  Skywalker™
1         abc         abc
2        defg        defg
3       hülle       hülle
4         信用卡         信用卡
destination_table_ref = TableReference(DatasetReference('precise-truck-742', 'python_bigquery_pandas_tests_system_20231011132740_f80549'), 'round_trip_734315')
write_disposition = 'WRITE_EMPTY', chunksize = None
schema = {'fields': [{'name': 'test_col', 'type': 'STRING'}, {'name': 'test_col2', 'type': 'STRING'}]}
progress_bar = True, api_method = 'load_parquet'
billing_project = 'precise-truck-742'
def load_data(
    self,
    dataframe,
    destination_table_ref,
    write_disposition,
    chunksize=None,
    schema=None,
    progress_bar=True,
    api_method: str = "load_parquet",
    billing_project: Optional[str] = None,
):
    from pandas_gbq import load

    total_rows = len(dataframe)

    try:


      chunks = load.load_chunks(


            self.client,
            dataframe,
            destination_table_ref,
            chunksize=chunksize,
            schema=schema,
            location=self.location,
            api_method=api_method,
            write_disposition=write_disposition,
            billing_project=billing_project,
        )

pandas_gbq/gbq.py:602:

pandas_gbq/load.py:243: in load_chunks

load_parquet(

pandas_gbq/load.py:137: in load_parquet

).result()

.nox/system-3-10/lib/python3.10/site-packages/google/cloud/bigquery/job/base.py:922: in result

return super(_AsyncJob, self).result(timeout=timeout, **kwargs)

.nox/system-3-10/lib/python3.10/site-packages/google/api_core/future/polling.py:256: in result

self._blocking_poll(timeout=timeout, retry=retry, polling=polling)

.nox/system-3-10/lib/python3.10/site-packages/google/api_core/future/polling.py:137: in _blocking_poll

polling(self._done_or_raise)(retry=retry)

.nox/system-3-10/lib/python3.10/site-packages/google/api_core/retry.py:366: in retry_wrapped_func

return retry_target(

.nox/system-3-10/lib/python3.10/site-packages/google/api_core/retry.py:204: in retry_target

return target()

.nox/system-3-10/lib/python3.10/site-packages/google/api_core/future/polling.py:119: in _done_or_raise

if not self.done(retry=retry):

.nox/system-3-10/lib/python3.10/site-packages/google/cloud/bigquery/job/base.py:889: in done

self.reload(retry=retry, timeout=timeout)

.nox/system-3-10/lib/python3.10/site-packages/google/cloud/bigquery/job/base.py:781: in reload

api_response = client._call_api(

.nox/system-3-10/lib/python3.10/site-packages/google/cloud/bigquery/client.py:816: in _call_api

return call()

self = <google.cloud.bigquery._http.Connection object at 0x7f5daad95e70>

method = 'GET'

path = '/projects/precise-truck-742/jobs/a1c1bf37-d69f-4302-9e5d-21352498a9d0'

query_params = {'location': 'US'}, data = None, content_type = None

headers = None, api_base_url = None, api_version = None, expect_json = True

_target_object = None, timeout = None, extra_api_info = None
def api_request(
    self,
    method,
    path,
    query_params=None,
    data=None,
    content_type=None,
    headers=None,
    api_base_url=None,
    api_version=None,
    expect_json=True,
    _target_object=None,
    timeout=_DEFAULT_TIMEOUT,
    extra_api_info=None,
):
    """Make a request over the HTTP transport to the API.

    You shouldn't need to use this method, but if you plan to
    interact with the API using these primitives, this is the
    correct one to use.

    :type method: str
    :param method: The HTTP method name (ie, ``GET``, ``POST``, etc).
                   Required.

    :type path: str
    :param path: The path to the resource (ie, ``'/b/bucket-name'``).
                 Required.

    :type query_params: dict or list
    :param query_params: A dictionary of keys and values (or list of
                         key-value pairs) to insert into the query
                         string of the URL.

    :type data: str
    :param data: The data to send as the body of the request. Default is
                 the empty string.

    :type content_type: str
    :param content_type: The proper MIME type of the data provided. Default
                         is None.

    :type headers: dict
    :param headers: extra HTTP headers to be sent with the request.

    :type api_base_url: str
    :param api_base_url: The base URL for the API endpoint.
                         Typically you won't have to provide this.
                         Default is the standard API base URL.

    :type api_version: str
    :param api_version: The version of the API to call.  Typically
                        you shouldn't provide this and instead use
                        the default for the library.  Default is the
                        latest API version supported by
                        google-cloud-python.

    :type expect_json: bool
    :param expect_json: If True, this method will try to parse the
                        response as JSON and raise an exception if
                        that cannot be done.  Default is True.

    :type _target_object: :class:`object`
    :param _target_object:
        (Optional) Protected argument to be used by library callers. This
        can allow custom behavior, for example, to defer an HTTP request
        and complete initialization of the object at a later time.

    :type timeout: float or tuple
    :param timeout: (optional) The amount of time, in seconds, to wait
        for the server response.

        Can also be passed as a tuple (connect_timeout, read_timeout).
        See :meth:`requests.Session.request` documentation for details.

    :type extra_api_info: string
    :param extra_api_info: (optional) Extra api info to be appended to
        the X-Goog-API-Client header

    :raises ~google.cloud.exceptions.GoogleCloudError: if the response code
        is not 200 OK.
    :raises ValueError: if the response content type is not JSON.
    :rtype: dict or str
    :returns: The API response payload, either as a raw string or
              a dictionary if the response is valid JSON.
    """
    url = self.build_api_url(
        path=path,
        query_params=query_params,
        api_base_url=api_base_url,
        api_version=api_version,
    )

    # Making the executive decision that any dictionary
    # data will be sent properly as JSON.
    if data and isinstance(data, dict):
        data = json.dumps(data)
        content_type = "application/json"

    response = self._make_request(
        method=method,
        url=url,
        data=data,
        content_type=content_type,
        headers=headers,
        target_object=_target_object,
        timeout=timeout,
        extra_api_info=extra_api_info,
    )

    if not 200 <= response.status_code < 300:


      raise exceptions.from_http_response(response)


E           google.api_core.exceptions.ServiceUnavailable: 503 GET https://bigquery.googleapis.com/bigquery/v2/projects/precise-truck-742/jobs/a1c1bf37-d69f-4302-9e5d-21352498a9d0?location=US&prettyPrint=false: The service is currently unavailable.
.nox/system-3-10/lib/python3.10/site-packages/google/cloud/_http/init.py:494: ServiceUnavailable
The above exception was the direct cause of the following exception:
method_under_test = functools.partial(<function to_gbq at 0x7f5dd42eacb0>, project_id='precise-truck-742', credentials=<google.oauth2.service_account.Credentials object at 0x7f5dd4191c00>)

random_dataset_id = 'python_bigquery_pandas_tests_system_20231011132740_f80549'

read_gbq = functools.partial(<function read_gbq at 0x7f5dd42eac20>, project_id='precise-truck-742', credentials=<google.oauth2.service_account.Credentials object at 0x7f5dd4191c00>)

input_series = 0    Skywalker™

1           abc

2          defg

3         hülle

4           信用卡

Name: test_col, dtype: object

api_method = 'load_parquet', api_methods = {'load_csv', 'load_parquet'}
@pytest.mark.parametrize(
    ["input_series", "api_methods"],
    [
        # Ensure that 64-bit floating point numbers are unchanged.
        # See: https://github.com/pydata/pandas-gbq/issues/326
        SeriesRoundTripTestCase(
            input_series=pandas.Series(
                [
                    0.14285714285714285,
                    0.4406779661016949,
                    1.05148,
                    1.05153,
                    1.8571428571428572,
                    2.718281828459045,
                    3.141592653589793,
                    2.0988936657440586e43,
                ],
                name="test_col",
            ),
        ),
        SeriesRoundTripTestCase(
            input_series=pandas.Series(
                [
                    "abc",
                    "defg",
                    # Ensure that unicode characters are encoded. See:
                    # https://github.com/googleapis/python-bigquery-pandas/issues/106
                    "信用卡",
                    "Skywalker™",
                    "hülle",
                ],
                name="test_col",
            ),
        ),
        SeriesRoundTripTestCase(
            input_series=pandas.Series(
                [
                    "abc",
                    "defg",
                    # Ensure that empty strings are written as empty string,
                    # not NULL. See:
                    # https://github.com/googleapis/python-bigquery-pandas/issues/366
                    "",
                    None,
                ],
                name="empty_strings",
            ),
            # BigQuery CSV loader uses empty string as the "null marker" by
            # default. Potentially one could choose a rarely used character or
            # string as the null marker to disambiguate null from empty string,
            # but then that string couldn't be loaded.
            # TODO: Revist when custom load job configuration is supported.
            #       https://github.com/googleapis/python-bigquery-pandas/issues/425
            api_methods={"load_parquet"},
        ),
    ],
)
def test_series_round_trip(
    method_under_test,
    random_dataset_id,
    read_gbq,
    input_series,
    api_method,
    api_methods,
):
    if api_method not in api_methods:
        pytest.skip(f"{api_method} not supported.")
    table_id = f"{random_dataset_id}.round_trip_{random.randrange(1_000_000)}"
    input_series = input_series.sort_values().reset_index(drop=True)
    df = pandas.DataFrame(
        # Some errors only occur in multi-column dataframes. See:
        # https://github.com/googleapis/python-bigquery-pandas/issues/366
        {"test_col": input_series, "test_col2": input_series}
    )


  method_under_test(df, table_id, api_method=api_method)


tests/system/test_to_gbq.py:110:

pandas_gbq/gbq.py:1220: in to_gbq

connector.load_data(

pandas_gbq/gbq.py:622: in load_data

self.process_http_error(ex)

ex = ServiceUnavailable('GET https://bigquery.googleapis.com/bigquery/v2/projects/precise-truck-742/jobs/a1c1bf37-d69f-4302-9e5d-21352498a9d0?location=US&prettyPrint=false: The service is currently unavailable.')
@staticmethod
def process_http_error(ex):
    # See `BigQuery Troubleshooting Errors
    # <https://cloud.google.com/bigquery/troubleshooting-errors>`__

    if "cancelled" in ex.message:
        raise QueryTimeout("Reason: {0}".format(ex))
    elif "Provided Schema does not match" in ex.message:
        error_message = ex.errors[0]["message"]
        raise InvalidSchema(f"Reason: {error_message}")
    elif "Already Exists: Table" in ex.message:
        error_message = ex.errors[0]["message"]
        raise TableCreationError(f"Reason: {error_message}")
    else:


      raise GenericGBQException("Reason: {0}".format(ex)) from ex


E           pandas_gbq.exceptions.GenericGBQException: Reason: 503 GET https://bigquery.googleapis.com/bigquery/v2/projects/precise-truck-742/jobs/a1c1bf37-d69f-4302-9e5d-21352498a9d0?location=US&prettyPrint=false: The service is currently unavailable.
pandas_gbq/gbq.py:396: GenericGBQException

[flaky-bot]

Looks like this issue is flaky. 😟

I'm going to leave this open and stop commenting.

A human should fix and close this.

---

When run at the same commit (e596b74), this test passed in one build (Build Status, Sponge) and failed in another build (Build Status, Sponge).

[chalmerlowe]

Showed a service unavailable error. Gonna close and see if this reopens.