def test_loading__empty__enabled_config(db_prep):
config = CONFIG.copy()
config['persist_empty_tables'] = True
stream = CatStream(0)
main(config, input_stream=stream)
with connect(**TEST_DB) as conn:
with conn.cursor() as cur:
assert_columns_equal(
cur, 'CATS',
{('_SDC_BATCHED_AT', 'TIMESTAMP_TZ', 'YES'),
('_SDC_RECEIVED_AT', 'TIMESTAMP_TZ', 'YES'),
('_SDC_SEQUENCE', 'NUMBER', 'YES'),
('_SDC_TABLE_VERSION', 'NUMBER', 'YES'),
('_SDC_TARGET_SNOWFLAKE_CREATE_TABLE_PLACEHOLDER', 'BOOLEAN',
'YES'), ('ADOPTION__ADOPTED_ON', 'TIMESTAMP_TZ', 'YES'),
('ADOPTION__WAS_FOSTER', 'BOOLEAN', 'YES'),
('AGE', 'NUMBER', 'YES'), ('ID', 'NUMBER', 'NO'),
('NAME', 'TEXT', 'NO'), ('PAW_SIZE', 'NUMBER', 'NO'),
('PAW_COLOUR', 'TEXT', 'NO'),
('FLEA_CHECK_COMPLETE', 'BOOLEAN', 'NO'),
('PATTERN', 'TEXT', 'YES')})
assert_columns_equal(
cur, 'CATS__ADOPTION__IMMUNIZATIONS',
{('_SDC_LEVEL_0_ID', 'NUMBER', 'NO'),
('_SDC_SEQUENCE', 'NUMBER', 'YES'),
('_SDC_SOURCE_KEY_ID', 'NUMBER', 'NO'),
('_SDC_TARGET_SNOWFLAKE_CREATE_TABLE_PLACEHOLDER', 'BOOLEAN',
'YES'), ('DATE_ADMINISTERED', 'TIMESTAMP_TZ', 'YES'),
('TYPE', 'TEXT', 'YES')})
assert_count_equal(cur, 'CATS', 0)
def test_state__doesnt_emit_when_it_isnt_different_than_the_previous_emission(
capsys):
config = CONFIG.copy()
config['max_batch_rows'] = 5
config['batch_detection_threshold'] = 1
rows = list(CatStream(100))
target = Target()
def test_stream():
yield rows[0]
for row in rows[slice(1, 21)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-1'}})
output = filtered_output(capsys)
assert len(output) == 1
for row in rows[slice(22, 99)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-1'}})
output = filtered_output(capsys)
assert len(output) == 0
target_tools.stream_to_target(test_stream(), target, config=config)
output = filtered_output(capsys)
assert len(output) == 0
def test_multiple_batches_by_memory_upsert(db_cleanup):
config = CONFIG.copy()
config['max_batch_size'] = 1024
config['batch_detection_threshold'] = 5
stream = CatStream(100, nested_count=2)
main(config, input_stream=stream)
with psycopg2.connect(**TEST_DB) as conn:
with conn.cursor() as cur:
cur.execute(get_count_sql('cats'))
assert cur.fetchone()[0] == 100
cur.execute(get_count_sql('cats__adoption__immunizations'))
assert cur.fetchone()[0] == 200
assert_records(conn, stream.records, 'cats', 'id')
stream = CatStream(100, nested_count=3)
main(config, input_stream=stream)
with psycopg2.connect(**TEST_DB) as conn:
with conn.cursor() as cur:
cur.execute(get_count_sql('cats'))
assert cur.fetchone()[0] == 100
cur.execute(get_count_sql('cats__adoption__immunizations'))
assert cur.fetchone()[0] == 300
assert_records(conn, stream.records, 'cats', 'id')
def test_loading__empty__enabled_config__repeatability(db_prep):
config = CONFIG.copy()
config['persist_empty_tables'] = True
main(config, input_stream=CatStream(0))
main(config, input_stream=CatStream(0))
main(config, input_stream=CatStream(0))
def test_multiple_batches_by_memory(db_cleanup):
with patch.object(postgres.PostgresTarget,
'write_batch',
side_effect=mocked_mock_write_batch) as mock_write_batch:
config = CONFIG.copy()
config['max_batch_size'] = 1024
config['batch_detection_threshold'] = 5
stream = CatStream(100)
main(config, input_stream=stream)
assert mock_write_batch.call_count == 21
def test_state__emits_most_recent_state_when_final_flush_occurs(capsys):
config = CONFIG.copy()
config['max_batch_rows'] = 20
config['batch_detection_threshold'] = 1
rows = list(CatStream(5))
rows.append(json.dumps({'type': 'STATE', 'value': {'test': 'state-1'}}))
target_tools.stream_to_target(rows, Target(), config=config)
# The final state message should have been outputted after the last records were loaded despite not reaching
# one full flushable batch
output = filtered_output(capsys)
assert len(output) == 1
assert json.loads(output[0])['value']['test'] == 'state-1'
def test_state__doesnt_emit_when_only_one_of_several_streams_is_flushing(
capsys):
config = CONFIG.copy()
config['max_batch_rows'] = 20
config['batch_detection_threshold'] = 1
cat_rows = list(CatStream(100))
dog_rows = list(DogStream(50))
target = Target()
# Simulate one stream that yields a lot of records with another that yields few records and ensure both need to be flushed
# before any state messages are emitted
def test_stream():
yield cat_rows[0]
yield dog_rows[0]
for row in cat_rows[slice(1, 5)]:
yield row
for row in dog_rows[slice(1, 5)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-1'}})
for row in cat_rows[slice(6, 45)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-2'}})
for row in cat_rows[slice(46, 65)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-3'}})
# After some state messages but before the batch size has been hit for both streams no state messages should have been emitted
assert len(target.calls['write_batch']) == 3
output = filtered_output(capsys)
assert output == []
for row in dog_rows[slice(6, 25)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-4'}})
# After the batch size has been hit and a write_batch call was made, the most recent safe to emit state should have been emitted
assert len(target.calls['write_batch']) == 4
output = filtered_output(capsys)
assert len(output) == 1
assert json.loads(output[0])['value']['test'] == 'state-2'
target_tools.stream_to_target(test_stream(), target, config=config)
# The final state message should have been outputted after the last dog records were loaded despite not reaching one full flushable batch
output = filtered_output(capsys)
assert len(output) == 1
assert json.loads(output[0])['value']['test'] == 'state-4'
def test_state__emits_only_messages_when_all_records_before_have_been_flushed(
capsys):
config = CONFIG.copy()
config['max_batch_rows'] = 20
config['batch_detection_threshold'] = 1
rows = list(CatStream(100))
target = Target()
def test_stream():
yield rows[0]
for row in rows[slice(1, 5)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-1'}})
for row in rows[slice(6, 10)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-2'}})
for row in rows[slice(11, 15)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-3'}})
# After some state messages but before the batch size has been hit no state messages should have been emitted
assert len(target.calls['write_batch']) == 0
output = filtered_output(capsys)
assert output == []
for row in rows[slice(16, 25)]:
yield row
yield json.dumps({'type': 'STATE', 'value': {'test': 'state-4'}})
# After the batch size has been hit and a write_batch call was made, the most recent safe to emit state should have been emitted
assert len(target.calls['write_batch']) == 1
output = filtered_output(capsys)
assert len(output) == 1
assert json.loads(output[0])['value']['test'] == 'state-3'
for row in rows[slice(26, 31)]:
yield row
target_tools.stream_to_target(test_stream(), target, config=config)
# The final state message should have been outputted after the last records were loaded
output = filtered_output(capsys)
assert len(output) == 1
assert json.loads(output[0])['value']['test'] == 'state-4'
def test_hubspot__sandbox(db_cleanup):
config = CONFIG.copy()
config['persist_empty_tables'] = True
main(config, input_stream=HubspotStream())
with psycopg2.connect(**TEST_DB) as conn:
with conn.cursor() as cur:
assert_tables_equal(cur, {'deals'})
assert_columns_equal(
cur, 'deals',
{('_sdc_table_version', 'bigint', 'YES'),
('_sdc_received_at', 'timestamp with time zone', 'YES'),
('_sdc_sequence', 'bigint', 'YES'),
('_sdc_primary_key', 'text', 'NO'),
('_sdc_batched_at', 'timestamp with time zone', 'YES'),
('properties__num_contacted_notes__value__f',
'double precision', 'YES'),
('properties__num_contacted_notes__value__s', 'text', 'YES')})
assert_count_equal(cur, 'deals', 7)
