def write_schema(schema, row, stream):
schema_build_start_time = time.time()
if common.row_to_schema(schema, row):
singer.write_message(singer.SchemaMessage(
stream=common.calculate_destination_stream_name(stream),
schema=schema,
key_properties=['_id']))
common.SCHEMA_COUNT[stream['tap_stream_id']] += 1
common.SCHEMA_TIMES[stream['tap_stream_id']] += time.time() - schema_build_start_time
def write_schema_message(stream: Dict):
"""
Creates and writes a stream schema message to stdout
Args:
stream: stream catalog
"""
write_message(SchemaMessage(
stream=calculate_destination_stream_name(stream),
schema=stream['schema'],
key_properties=['_id']))
def test_calculate_destination_stream_name_with_include_schema_False(self):
"""
"""
stream = {
'stream':
'myStream',
'metadata': [{
"breadcrumb": [],
"metadata": {
"database-name": "myDb",
}
}]
}
common.INCLUDE_SCHEMAS_IN_DESTINATION_STREAM_NAME = False
self.assertEqual('myStream',
common.calculate_destination_stream_name(stream))
def test_calculate_destination_stream_name_with_include_schema_True(self):
"""
"""
stream = {
'stream':
'myStream',
'metadata': [{
"breadcrumb": [],
"metadata": {
"database-name": "myDb",
}
}]
}
with patch(
'tap_mongodb.common.INCLUDE_SCHEMAS_IN_DESTINATION_STREAM_NAME'
) as constant_mock:
constant_mock.return_value = True
self.assertEqual('myDb-myStream',
common.calculate_destination_stream_name(stream))
def sync_collection(client, stream, state, projection):
tap_stream_id = stream['tap_stream_id']
LOGGER.info('Starting full table sync for %s', tap_stream_id)
md_map = metadata.to_map(stream['metadata'])
database_name = metadata.get(md_map, (), 'database-name')
db = client[database_name]
collection = db[stream['stream']]
#before writing the table version to state, check if we had one to begin with
first_run = singer.get_bookmark(state, stream['tap_stream_id'],
'version') is None
# last run was interrupted if there is a last_id_fetched bookmark
was_interrupted = singer.get_bookmark(state, stream['tap_stream_id'],
'last_id_fetched') is not None
#pick a new table version if last run wasn't interrupted
if was_interrupted:
stream_version = singer.get_bookmark(state, stream['tap_stream_id'],
'version')
else:
stream_version = int(time.time() * 1000)
state = singer.write_bookmark(state, stream['tap_stream_id'], 'version',
stream_version)
singer.write_message(singer.StateMessage(value=copy.deepcopy(state)))
activate_version_message = singer.ActivateVersionMessage(
stream=common.calculate_destination_stream_name(stream),
version=stream_version)
# For the initial replication, emit an ACTIVATE_VERSION message
# at the beginning so the records show up right away.
if first_run:
singer.write_message(activate_version_message)
if singer.get_bookmark(state, stream['tap_stream_id'], 'max_id_value'):
# There is a bookmark
max_id_value = singer.get_bookmark(state, stream['tap_stream_id'],
'max_id_value')
max_id_type = singer.get_bookmark(state, stream['tap_stream_id'],
'max_id_type')
max_id_value = common.string_to_class(max_id_value, max_id_type)
else:
max_id_value = get_max_id_value(collection)
last_id_fetched = singer.get_bookmark(state, stream['tap_stream_id'],
'last_id_fetched')
if max_id_value:
# Write the bookmark if max_id_value is defined
state = singer.write_bookmark(
state, stream['tap_stream_id'], 'max_id_value',
common.class_to_string(max_id_value,
max_id_value.__class__.__name__))
state = singer.write_bookmark(state, stream['tap_stream_id'],
'max_id_type',
max_id_value.__class__.__name__)
find_filter = {'$lte': max_id_value}
if last_id_fetched:
last_id_fetched_type = singer.get_bookmark(state,
stream['tap_stream_id'],
'last_id_fetched_type')
find_filter['$gte'] = common.string_to_class(last_id_fetched,
last_id_fetched_type)
query_message = 'Querying {} with:\n\tFind Parameters: {}'.format(
stream['tap_stream_id'], find_filter)
if projection:
query_message += '\n\tProjection: {}'.format(projection)
# pylint: disable=logging-format-interpolation
LOGGER.info(query_message)
with collection.find({'_id': find_filter},
projection,
sort=[("_id", pymongo.ASCENDING)]) as cursor:
rows_saved = 0
time_extracted = utils.now()
start_time = time.time()
schema = stream['schema'] or {"type": "object", "properties": {}}
for row in cursor:
rows_saved += 1
schema_build_start_time = time.time()
if common.row_to_schema(schema, row):
singer.write_message(
singer.SchemaMessage(
stream=common.calculate_destination_stream_name(
stream),
schema=schema,
key_properties=['_id']))
common.SCHEMA_COUNT[stream['tap_stream_id']] += 1
common.SCHEMA_TIMES[stream['tap_stream_id']] += time.time(
) - schema_build_start_time
record_message = common.row_to_singer_record(
stream, row, stream_version, time_extracted)
singer.write_message(record_message)
state = singer.write_bookmark(
state, stream['tap_stream_id'], 'last_id_fetched',
common.class_to_string(row['_id'],
row['_id'].__class__.__name__))
state = singer.write_bookmark(state, stream['tap_stream_id'],
'last_id_fetched_type',
row['_id'].__class__.__name__)
if rows_saved % common.UPDATE_BOOKMARK_PERIOD == 0:
singer.write_message(
singer.StateMessage(value=copy.deepcopy(state)))
common.COUNTS[tap_stream_id] += rows_saved
common.TIMES[tap_stream_id] += time.time() - start_time
# clear max pk value and last pk fetched upon successful sync
singer.clear_bookmark(state, stream['tap_stream_id'], 'max_id_value')
singer.clear_bookmark(state, stream['tap_stream_id'], 'max_id_type')
singer.clear_bookmark(state, stream['tap_stream_id'], 'last_id_fetched')
singer.clear_bookmark(state, stream['tap_stream_id'],
'last_id_fetched_type')
state = singer.write_bookmark(state, stream['tap_stream_id'],
'initial_full_table_complete', True)
singer.write_message(activate_version_message)
LOGGER.info('Syncd {} records for {}'.format(rows_saved, tap_stream_id))
def write_schema_message(stream):
singer.write_message(
singer.SchemaMessage(
stream=common.calculate_destination_stream_name(stream),
schema=stream['schema'],
key_properties=['_id']))
def sync_collection(
collection: Collection,
stream: Dict,
state: Optional[Dict],
) -> None:
"""
Syncs the stream records incrementally
Args:
collection: MongoDB collection instance
stream: stream dictionary
state: state dictionary if exists
"""
LOGGER.info('Starting incremental sync for %s', stream['tap_stream_id'])
# before writing the table version to state, check if we had one to begin with
first_run = singer.get_bookmark(state, stream['tap_stream_id'],
'version') is None
# pick a new table version if last run wasn't interrupted
if first_run:
stream_version = int(time.time() * 1000)
else:
stream_version = singer.get_bookmark(state, stream['tap_stream_id'],
'version')
state = singer.write_bookmark(state, stream['tap_stream_id'], 'version',
stream_version)
activate_version_message = singer.ActivateVersionMessage(
stream=common.calculate_destination_stream_name(stream),
version=stream_version)
# For the initial replication, emit an ACTIVATE_VERSION message
# at the beginning so the records show up right away.
if first_run:
singer.write_message(activate_version_message)
# get replication key, and bookmarked value/type
stream_state = state.get('bookmarks', {}).get(stream['tap_stream_id'], {})
replication_key_name = metadata.to_map(stream['metadata']).get(
()).get('replication-key')
# write state message
singer.write_message(singer.StateMessage(value=copy.deepcopy(state)))
# create query
find_filter = {}
if stream_state.get('replication_key_value'):
find_filter[replication_key_name] = {}
find_filter[replication_key_name]['$gt'] = common.string_to_class(
stream_state.get('replication_key_value'),
stream_state.get('replication_key_type'))
# log query
LOGGER.info('Querying %s with: %s', stream['tap_stream_id'],
dict(find=find_filter))
with collection.find(find_filter,
sort=[(replication_key_name, pymongo.ASCENDING)
]) as cursor:
rows_saved = 0
start_time = time.time()
for row in cursor:
singer.write_message(
common.row_to_singer_record(stream=stream,
row=row,
time_extracted=utils.now(),
time_deleted=None,
version=stream_version))
rows_saved += 1
update_bookmark(row, state, stream['tap_stream_id'],
replication_key_name)
if rows_saved % common.UPDATE_BOOKMARK_PERIOD == 0:
singer.write_message(
singer.StateMessage(value=copy.deepcopy(state)))
common.COUNTS[stream['tap_stream_id']] += rows_saved
common.TIMES[stream['tap_stream_id']] += time.time() - start_time
singer.write_message(activate_version_message)
LOGGER.info('Syncd %s records for %s', rows_saved, stream['tap_stream_id'])
def sync_collection(client, stream, state, stream_projection):
tap_stream_id = stream['tap_stream_id']
LOGGER.info('Starting oplog sync for %s', tap_stream_id)
md_map = metadata.to_map(stream['metadata'])
database_name = metadata.get(md_map, (), 'database-name')
collection_name = stream.get("table_name")
stream_state = state.get('bookmarks', {}).get(tap_stream_id)
oplog_ts = timestamp.Timestamp(stream_state['oplog_ts_time'],
stream_state['oplog_ts_inc'])
# Write activate version message
version = common.get_stream_version(tap_stream_id, state)
activate_version_message = singer.ActivateVersionMessage(
stream=common.calculate_destination_stream_name(stream),
version=version)
singer.write_message(activate_version_message)
time_extracted = utils.now()
rows_saved = 0
start_time = time.time()
oplog_query = {'ts': {'$gte': oplog_ts}}
projection = transform_projection(stream_projection)
oplog_replay = stream_projection is None
LOGGER.info(
'Querying %s with:\n\tFind Parameters: %s\n\tProjection: %s\n\toplog_replay: %s',
tap_stream_id, oplog_query, projection, oplog_replay)
update_buffer = set()
# consider adding oplog_replay, but this would require removing the projection
# default behavior is a non_tailable cursor but we might want a tailable one
# regardless of whether its long lived or not.
with client.local.oplog.rs.find(oplog_query,
projection,
sort=[('$natural', pymongo.ASCENDING)],
oplog_replay=oplog_replay) as cursor:
for row in cursor:
# assertions that mongo is respecing the ts query and sort order
if row.get('ts') and row.get('ts') < oplog_ts:
raise common.MongoAssertionException(
"Mongo is not honoring the query param")
if row.get('ts') and row.get('ts') < timestamp.Timestamp(
stream_state['oplog_ts_time'],
stream_state['oplog_ts_inc']):
raise common.MongoAssertionException(
"Mongo is not honoring the sort ascending param")
if row.get('ns') != '{}.{}'.format(database_name, collection_name):
if row.get('ts'):
state = update_bookmarks(state, tap_stream_id, row['ts'])
continue
row_op = row['op']
if row_op == 'i':
record_message = common.row_to_singer_record(
stream, row['o'], version, time_extracted)
singer.write_message(record_message)
rows_saved += 1
elif row_op == 'u':
update_buffer.add(row['o2']['_id'])
elif row_op == 'd':
# remove update from buffer if that document has been deleted
if row['o']['_id'] in update_buffer:
update_buffer.remove(row['o']['_id'])
# Delete ops only contain the _id of the row deleted
row['o'][SDC_DELETED_AT] = row['ts']
record_message = common.row_to_singer_record(
stream, row['o'], version, time_extracted)
singer.write_message(record_message)
rows_saved += 1
state = update_bookmarks(state, tap_stream_id, row['ts'])
# flush buffer if it has filled up
if len(update_buffer) >= MAX_UPDATE_BUFFER_LENGTH:
for buffered_row in flush_buffer(client, update_buffer,
stream_projection,
database_name,
collection_name):
record_message = common.row_to_singer_record(
stream, buffered_row, version, time_extracted)
singer.write_message(record_message)
rows_saved += 1
update_buffer = set()
# write state every UPDATE_BOOKMARK_PERIOD messages
if rows_saved % common.UPDATE_BOOKMARK_PERIOD == 0:
# flush buffer before writing state
for buffered_row in flush_buffer(client, update_buffer,
stream_projection,
database_name,
collection_name):
record_message = common.row_to_singer_record(
stream, buffered_row, version, time_extracted)
singer.write_message(record_message)
rows_saved += 1
update_buffer = set()
# write state
singer.write_message(
singer.StateMessage(value=copy.deepcopy(state)))
# flush buffer if finished with oplog
for buffered_row in flush_buffer(client, update_buffer,
stream_projection, database_name,
collection_name):
record_message = common.row_to_singer_record(
stream, buffered_row, version, time_extracted)
singer.write_message(record_message)
rows_saved += 1
common.COUNTS[tap_stream_id] += rows_saved
common.TIMES[tap_stream_id] += time.time() - start_time
LOGGER.info('Syncd %s records for %s', rows_saved, tap_stream_id)
def sync_collection(client, stream, state, projection):
tap_stream_id = stream['tap_stream_id']
LOGGER.info('Starting incremental sync for %s', tap_stream_id)
stream_metadata = metadata.to_map(stream['metadata']).get(())
collection = client[stream_metadata['database-name']][stream['stream']]
#before writing the table version to state, check if we had one to begin with
first_run = singer.get_bookmark(state, stream['tap_stream_id'], 'version') is None
#pick a new table version if last run wasn't interrupted
if first_run:
stream_version = int(time.time() * 1000)
else:
stream_version = singer.get_bookmark(state, stream['tap_stream_id'], 'version')
state = singer.write_bookmark(state,
stream['tap_stream_id'],
'version',
stream_version)
activate_version_message = singer.ActivateVersionMessage(
stream=common.calculate_destination_stream_name(stream),
version=stream_version
)
# For the initial replication, emit an ACTIVATE_VERSION message
# at the beginning so the records show up right away.
if first_run:
singer.write_message(activate_version_message)
# get replication key, and bookmarked value/type
stream_state = state.get('bookmarks', {}).get(tap_stream_id, {})
replication_key_name = stream_metadata.get('replication-key')
replication_key_value_bookmark = stream_state.get('replication_key_value')
# write state message
singer.write_message(singer.StateMessage(value=copy.deepcopy(state)))
# create query
find_filter = {}
if replication_key_value_bookmark:
find_filter[replication_key_name] = {}
find_filter[replication_key_name]['$gte'] = \
common.string_to_class(replication_key_value_bookmark,
stream_state.get('replication_key_type'))
# log query
query_message = 'Querying {} with:\n\tFind Parameters: {}'.format(tap_stream_id, find_filter)
if projection:
query_message += '\n\tProjection: {}'.format(projection)
LOGGER.info(query_message)
# query collection
schema = {"type": "object", "properties": {}}
with collection.find(find_filter,
projection,
sort=[(replication_key_name, pymongo.ASCENDING)]) as cursor:
rows_saved = 0
time_extracted = utils.now()
start_time = time.time()
for row in cursor:
schema_build_start_time = time.time()
if common.row_to_schema(schema, row):
singer.write_message(singer.SchemaMessage(
stream=common.calculate_destination_stream_name(stream),
schema=schema,
key_properties=['_id']))
common.SCHEMA_COUNT[tap_stream_id] += 1
common.SCHEMA_TIMES[tap_stream_id] += time.time() - schema_build_start_time
record_message = common.row_to_singer_record(stream,
row,
stream_version,
time_extracted)
# gen_schema = common.row_to_schema_message(schema, record_message.record, row)
# if DeepDiff(schema, gen_schema, ignore_order=True) != {}:
# emit gen_schema
# schema = gen_schema
singer.write_message(record_message)
rows_saved += 1
update_bookmark(row, state, tap_stream_id, replication_key_name)
if rows_saved % common.UPDATE_BOOKMARK_PERIOD == 0:
singer.write_message(singer.StateMessage(value=copy.deepcopy(state)))
common.COUNTS[tap_stream_id] += rows_saved
common.TIMES[tap_stream_id] += time.time()-start_time
singer.write_message(activate_version_message)
LOGGER.info('Synced %s records for %s', rows_saved, tap_stream_id)
def sync_collection(collection: Collection, stream: Dict, state: Dict) -> None:
"""
Sync collection records incrementally
Args:
collection: MongoDB collection instance
stream: dictionary of all stream details
state: the tap state
"""
LOGGER.info('Starting full table sync for %s', stream['tap_stream_id'])
# before writing the table version to state, check if we had one to begin with
first_run = singer.get_bookmark(state, stream['tap_stream_id'],
'version') is None
# last run was interrupted if there is a last_id_fetched bookmark
# pick a new table version if last run wasn't interrupted
if singer.get_bookmark(state, stream['tap_stream_id'],
'last_id_fetched') is not None:
stream_version = singer.get_bookmark(state, stream['tap_stream_id'],
'version')
else:
stream_version = int(time.time() * 1000)
state = singer.write_bookmark(state, stream['tap_stream_id'], 'version',
stream_version)
singer.write_message(singer.StateMessage(value=copy.deepcopy(state)))
activate_version_message = singer.ActivateVersionMessage(
stream=common.calculate_destination_stream_name(stream),
version=stream_version)
# For the initial replication, emit an ACTIVATE_VERSION message
# at the beginning so the records show up right away.
if first_run:
singer.write_message(activate_version_message)
if singer.get_bookmark(state, stream['tap_stream_id'], 'max_id_value'):
# There is a bookmark
max_id_value = common.string_to_class(
singer.get_bookmark(state, stream['tap_stream_id'],
'max_id_value'),
singer.get_bookmark(state, stream['tap_stream_id'], 'max_id_type'))
else:
max_id_value = get_max_id_value(collection)
last_id_fetched = singer.get_bookmark(state, stream['tap_stream_id'],
'last_id_fetched')
if max_id_value:
# Write the bookmark if max_id_value is defined
state = singer.write_bookmark(
state, stream['tap_stream_id'], 'max_id_value',
common.class_to_string(max_id_value,
max_id_value.__class__.__name__))
state = singer.write_bookmark(state, stream['tap_stream_id'],
'max_id_type',
max_id_value.__class__.__name__)
find_filter = {'$lte': max_id_value}
if last_id_fetched:
find_filter['$gte'] = common.string_to_class(
last_id_fetched,
singer.get_bookmark(state, stream['tap_stream_id'],
'last_id_fetched_type'))
LOGGER.info('Querying %s with: %s', stream['tap_stream_id'],
dict(find=find_filter))
with collection.find({'_id': find_filter},
sort=[("_id", pymongo.ASCENDING)]) as cursor:
rows_saved = 0
start_time = time.time()
for row in cursor:
rows_saved += 1
singer.write_message(
common.row_to_singer_record(stream=stream,
row=row,
time_extracted=utils.now(),
time_deleted=None,
version=stream_version))
state = singer.write_bookmark(
state, stream['tap_stream_id'], 'last_id_fetched',
common.class_to_string(row['_id'],
row['_id'].__class__.__name__))
state = singer.write_bookmark(state, stream['tap_stream_id'],
'last_id_fetched_type',
row['_id'].__class__.__name__)
if rows_saved % common.UPDATE_BOOKMARK_PERIOD == 0:
singer.write_message(
singer.StateMessage(value=copy.deepcopy(state)))
common.COUNTS[stream['tap_stream_id']] += rows_saved
common.TIMES[stream['tap_stream_id']] += time.time() - start_time
# clear max pk value and last pk fetched upon successful sync
singer.clear_bookmark(state, stream['tap_stream_id'], 'max_id_value')
singer.clear_bookmark(state, stream['tap_stream_id'], 'max_id_type')
singer.clear_bookmark(state, stream['tap_stream_id'], 'last_id_fetched')
singer.clear_bookmark(state, stream['tap_stream_id'],
'last_id_fetched_type')
singer.write_bookmark(state, stream['tap_stream_id'],
'initial_full_table_complete', True)
singer.write_message(activate_version_message)
LOGGER.info('Syncd %s records for %s', rows_saved, stream['tap_stream_id'])
