def test_rows_no_schema_set_raises_type_error(mut, class_under_test,
mock_gapic_client, monkeypatch):
reader = class_under_test([], mock_gapic_client, "", 0, {})
read_session = types.ReadSession()
with pytest.raises(TypeError):
reader.rows(read_session)
def test_pyarrow_rows_raises_import_error(mut, class_under_test,
mock_gapic_client, monkeypatch):
monkeypatch.setattr(mut, "pyarrow", None)
reader = class_under_test([], mock_gapic_client, "", 0, {})
bq_columns = [{"name": "int_col", "type": "int64"}]
arrow_schema = _bq_to_arrow_schema(bq_columns)
read_session = _generate_arrow_read_session(arrow_schema)
with pytest.raises(ImportError):
reader.rows(read_session)
def test_to_dataframe_by_page(class_under_test, mock_gapic_client):
bq_columns = [
{"name": "int_col", "type": "int64"},
{"name": "bool_col", "type": "bool"},
]
avro_schema = _bq_to_avro_schema(bq_columns)
block_1 = [{"int_col": 123, "bool_col": True}, {"int_col": 234, "bool_col": False}]
block_2 = [{"int_col": 345, "bool_col": True}, {"int_col": 456, "bool_col": False}]
block_3 = [{"int_col": 567, "bool_col": True}, {"int_col": 789, "bool_col": False}]
block_4 = [{"int_col": 890, "bool_col": True}]
# Break blocks into two groups to test that iteration continues across
# reconnection.
bq_blocks_1 = [block_1, block_2]
bq_blocks_2 = [block_3, block_4]
avro_blocks_1 = _bq_to_avro_blocks(bq_blocks_1, avro_schema)
avro_blocks_2 = _bq_to_avro_blocks(bq_blocks_2, avro_schema)
mock_gapic_client.read_rows.return_value = avro_blocks_2
reader = class_under_test(
_pages_w_unavailable(avro_blocks_1),
mock_gapic_client,
"teststream",
0,
{"metadata": {"test-key": "test-value"}},
)
got = reader.rows()
pages = iter(got.pages)
page_1 = next(pages)
pandas.testing.assert_frame_equal(
page_1.to_dataframe().reset_index(drop=True),
pandas.DataFrame(block_1, columns=["int_col", "bool_col"]).reset_index(
drop=True
),
)
page_2 = next(pages)
pandas.testing.assert_frame_equal(
page_2.to_dataframe().reset_index(drop=True),
pandas.DataFrame(block_2, columns=["int_col", "bool_col"]).reset_index(
drop=True
),
)
page_3 = next(pages)
pandas.testing.assert_frame_equal(
page_3.to_dataframe().reset_index(drop=True),
pandas.DataFrame(block_3, columns=["int_col", "bool_col"]).reset_index(
drop=True
),
)
page_4 = next(pages)
pandas.testing.assert_frame_equal(
page_4.to_dataframe().reset_index(drop=True),
pandas.DataFrame(block_4, columns=["int_col", "bool_col"]).reset_index(
drop=True
),
)
def test_to_arrow_no_pyarrow_raises_import_error(mut, class_under_test,
mock_client, monkeypatch):
monkeypatch.setattr(mut, "pyarrow", None)
arrow_schema = _bq_to_arrow_schema(SCALAR_COLUMNS)
read_session = _generate_arrow_read_session(arrow_schema)
arrow_batches = _bq_to_arrow_batches(SCALAR_BLOCKS, arrow_schema)
reader = class_under_test(arrow_batches, mock_client, "", 0, {})
with pytest.raises(ImportError):
reader.to_arrow(read_session)
with pytest.raises(ImportError):
reader.rows(read_session).to_arrow()
with pytest.raises(ImportError):
next(reader.rows(read_session).pages).to_arrow()
def test_rows_w_timeout(class_under_test, mock_gapic_client):
bq_columns = [{"name": "int_col", "type": "int64"}]
avro_schema = _bq_to_avro_schema(bq_columns)
bq_blocks_1 = [
[{"int_col": 123}, {"int_col": 234}],
[{"int_col": 345}, {"int_col": 456}],
]
avro_blocks_1 = _avro_blocks_w_deadline(
_bq_to_avro_blocks(bq_blocks_1, avro_schema)
)
bq_blocks_2 = [[{"int_col": 567}, {"int_col": 789}], [{"int_col": 890}]]
avro_blocks_2 = _bq_to_avro_blocks(bq_blocks_2, avro_schema)
mock_gapic_client.read_rows.return_value = avro_blocks_2
reader = class_under_test(
avro_blocks_1,
mock_gapic_client,
"teststream",
0,
{"metadata": {"test-key": "test-value"}},
)
with pytest.raises(google.api_core.exceptions.DeadlineExceeded):
list(reader.rows())
# Don't reconnect on DeadlineException. This allows user-specified timeouts
# to be respected.
mock_gapic_client.read_rows.assert_not_called()
def test_rows_w_empty_stream_arrow(class_under_test, mock_gapic_client):
bq_columns = [{"name": "int_col", "type": "int64"}]
arrow_schema = _bq_to_arrow_schema(bq_columns)
read_session = _generate_arrow_read_session(arrow_schema)
reader = class_under_test([], mock_gapic_client, "", 0, {})
got = reader.rows(read_session)
assert tuple(got) == ()
def test_to_dataframe_no_pandas_raises_import_error(mut, class_under_test,
mock_client, monkeypatch):
monkeypatch.setattr(mut, "pandas", None)
avro_schema = _bq_to_avro_schema(SCALAR_COLUMNS)
read_session = _generate_avro_read_session(avro_schema)
avro_blocks = _bq_to_avro_blocks(SCALAR_BLOCKS, avro_schema)
reader = class_under_test(avro_blocks, mock_client, "", 0, {})
with pytest.raises(ImportError):
reader.to_dataframe(read_session)
with pytest.raises(ImportError):
reader.rows(read_session).to_dataframe()
with pytest.raises(ImportError):
next(reader.rows(read_session).pages).to_dataframe()
def test_rows_w_scalars(class_under_test, mock_gapic_client):
avro_schema = _bq_to_avro_schema(SCALAR_COLUMNS)
avro_blocks = _bq_to_avro_blocks(SCALAR_BLOCKS, avro_schema)
reader = class_under_test(avro_blocks, mock_gapic_client, "", 0, {})
got = tuple(reader.rows())
expected = tuple(itertools.chain.from_iterable(SCALAR_BLOCKS))
assert got == expected
def test_rows_w_reconnect_by_page(class_under_test, mock_gapic_client):
bq_columns = [{"name": "int_col", "type": "int64"}]
avro_schema = _bq_to_avro_schema(bq_columns)
read_session = _generate_avro_read_session(avro_schema)
bq_blocks_1 = [
[{
"int_col": 123
}, {
"int_col": 234
}],
[{
"int_col": 345
}, {
"int_col": 456
}],
]
avro_blocks_1 = _bq_to_avro_blocks(bq_blocks_1, avro_schema)
bq_blocks_2 = [[{"int_col": 567}, {"int_col": 789}], [{"int_col": 890}]]
avro_blocks_2 = _bq_to_avro_blocks(bq_blocks_2, avro_schema)
mock_gapic_client.read_rows.return_value = avro_blocks_2
reader = class_under_test(
_pages_w_unavailable(avro_blocks_1),
mock_gapic_client,
"teststream",
0,
{"metadata": {
"test-key": "test-value"
}},
)
got = reader.rows(read_session)
pages = iter(got.pages)
page_1 = next(pages)
assert page_1.num_items == 2
assert page_1.remaining == 2
assert tuple(page_1) == tuple(bq_blocks_1[0])
assert page_1.num_items == 2
assert page_1.remaining == 0
page_2 = next(pages)
assert next(page_2) == bq_blocks_1[1][0]
assert page_2.num_items == 2
assert page_2.remaining == 1
assert next(page_2) == bq_blocks_1[1][1]
page_3 = next(pages)
assert tuple(page_3) == tuple(bq_blocks_2[0])
assert page_3.num_items == 2
assert page_3.remaining == 0
page_4 = next(pages)
assert tuple(page_4) == tuple(bq_blocks_2[1])
assert page_4.num_items == 1
assert page_4.remaining == 0
def test_rows_w_scalars_arrow(class_under_test, mock_client):
arrow_schema = _bq_to_arrow_schema(SCALAR_COLUMNS)
read_session = _generate_arrow_read_session(arrow_schema)
arrow_batches = _bq_to_arrow_batches(SCALAR_BLOCKS, arrow_schema)
reader = class_under_test(arrow_batches, mock_client, "", 0, {})
got = tuple(reader.rows(read_session))
expected = tuple(itertools.chain.from_iterable(SCALAR_BLOCKS))
assert got == expected
def test_rows_w_reconnect(class_under_test, mock_gapic_client):
bq_columns = [{"name": "int_col", "type": "int64"}]
avro_schema = _bq_to_avro_schema(bq_columns)
read_session = _generate_avro_read_session(avro_schema)
bq_blocks_1 = [
[{
"int_col": 123
}, {
"int_col": 234
}],
[{
"int_col": 345
}, {
"int_col": 456
}],
]
avro_blocks_1 = _pages_w_unavailable(
_bq_to_avro_blocks(bq_blocks_1, avro_schema))
bq_blocks_2 = [[{"int_col": 1024}, {"int_col": 512}], [{"int_col": 256}]]
avro_blocks_2 = _bq_to_avro_blocks(bq_blocks_2, avro_schema)
avro_blocks_2 = _pages_w_resumable_internal_error(
_bq_to_avro_blocks(bq_blocks_2, avro_schema))
bq_blocks_3 = [[{"int_col": 567}, {"int_col": 789}], [{"int_col": 890}]]
avro_blocks_3 = _bq_to_avro_blocks(bq_blocks_3, avro_schema)
mock_gapic_client.read_rows.side_effect = (avro_blocks_2, avro_blocks_3)
reader = class_under_test(
avro_blocks_1,
mock_gapic_client,
"teststream",
0,
{"metadata": {
"test-key": "test-value"
}},
)
got = reader.rows(read_session)
expected = tuple(
itertools.chain(
itertools.chain.from_iterable(bq_blocks_1),
itertools.chain.from_iterable(bq_blocks_2),
itertools.chain.from_iterable(bq_blocks_3),
))
assert tuple(got) == expected
mock_gapic_client.read_rows.assert_any_call(
read_stream="teststream",
offset=4,
metadata={"test-key": "test-value"})
mock_gapic_client.read_rows.assert_called_with(
read_stream="teststream",
offset=7,
metadata={"test-key": "test-value"})
def test_rows_no_schema_set_raises_type_error(mut, class_under_test,
mock_gapic_client, monkeypatch):
avro_schema = _bq_to_avro_schema(SCALAR_COLUMNS)
avro_blocks = _bq_to_avro_blocks(SCALAR_BLOCKS, avro_schema)
avro_blocks[0].avro_schema = None
reader = class_under_test(avro_blocks, mock_gapic_client, "", 0, {})
rows = iter(reader.rows())
# Since session isn't passed in, reader doesn't know serialization type
# until you start iterating.
with pytest.raises(TypeError):
next(rows)
def test_avro_rows_raises_import_error(mut, class_under_test,
mock_gapic_client, monkeypatch):
monkeypatch.setattr(mut, "fastavro", None)
avro_schema = _bq_to_avro_schema(SCALAR_COLUMNS)
avro_blocks = _bq_to_avro_blocks(SCALAR_BLOCKS, avro_schema)
reader = class_under_test(avro_blocks, mock_gapic_client, "", 0, {})
rows = iter(reader.rows())
# Since session isn't passed in, reader doesn't know serialization type
# until you start iterating.
with pytest.raises(ImportError):
next(rows)
def test_rows_w_nonresumable_internal_error(class_under_test, mock_client):
bq_columns = [{"name": "int_col", "type": "int64"}]
avro_schema = _bq_to_avro_schema(bq_columns)
read_session = _generate_avro_read_session(avro_schema)
bq_blocks = [[{"int_col": 1024}, {"int_col": 512}], [{"int_col": 256}]]
avro_blocks = _pages_w_nonresumable_internal_error(
_bq_to_avro_blocks(bq_blocks, avro_schema))
reader = class_under_test(avro_blocks, mock_client, "teststream", 0, {})
with pytest.raises(google.api_core.exceptions.InternalServerError,
match="nonresumable error"):
list(reader.rows(read_session))
mock_client.read_rows.assert_not_called()
def test_to_dataframe_by_page_arrow(class_under_test, mock_gapic_client):
bq_columns = [
{
"name": "int_col",
"type": "int64"
},
{
"name": "bool_col",
"type": "bool"
},
]
arrow_schema = _bq_to_arrow_schema(bq_columns)
read_session = _generate_arrow_read_session(arrow_schema)
bq_block_1 = [
{
"int_col": 123,
"bool_col": True
},
{
"int_col": 234,
"bool_col": False
},
]
bq_block_2 = [
{
"int_col": 345,
"bool_col": True
},
{
"int_col": 456,
"bool_col": False
},
]
bq_block_3 = [
{
"int_col": 567,
"bool_col": True
},
{
"int_col": 789,
"bool_col": False
},
]
bq_block_4 = [{"int_col": 890, "bool_col": True}]
# Break blocks into two groups to test that iteration continues across
# reconnection.
bq_blocks_1 = [bq_block_1, bq_block_2]
bq_blocks_2 = [bq_block_3, bq_block_4]
batch_1 = _bq_to_arrow_batches(bq_blocks_1, arrow_schema)
batch_2 = _bq_to_arrow_batches(bq_blocks_2, arrow_schema)
mock_gapic_client.read_rows.return_value = batch_2
reader = class_under_test(_pages_w_unavailable(batch_1), mock_gapic_client,
"", 0, {})
got = reader.rows(read_session)
pages = iter(got.pages)
page_1 = next(pages)
pandas.testing.assert_frame_equal(
page_1.to_dataframe(dtypes={
"int_col": "int64",
"bool_col": "bool"
}).reset_index(drop=True),
pandas.DataFrame(bq_block_1,
columns=["int_col",
"bool_col"]).reset_index(drop=True),
)
page_2 = next(pages)
pandas.testing.assert_frame_equal(
page_2.to_dataframe().reset_index(drop=True),
pandas.DataFrame(bq_block_2,
columns=["int_col",
"bool_col"]).reset_index(drop=True),
)
page_3 = next(pages)
pandas.testing.assert_frame_equal(
page_3.to_dataframe().reset_index(drop=True),
pandas.DataFrame(bq_block_3,
columns=["int_col",
"bool_col"]).reset_index(drop=True),
)
page_4 = next(pages)
pandas.testing.assert_frame_equal(
page_4.to_dataframe().reset_index(drop=True),
pandas.DataFrame(bq_block_4,
columns=["int_col",
"bool_col"]).reset_index(drop=True),
)
def test_rows_w_empty_stream(class_under_test, mock_gapic_client):
reader = class_under_test([], mock_gapic_client, "", 0, {})
got = reader.rows()
assert tuple(got) == ()
