I am building an application which receives data from Kafka. When using standard avro library provided by Apache ( https://pypi.org/project/avro-python3/ ) the results are correct, however, the deserialization process is terribly slow.
class KafkaReceiver:
data = {}
def __init__(self, bootstrap='192.168.1.111:9092'):
self.client = KafkaConsumer(
'topic',
bootstrap_servers=bootstrap,
client_id='app',
api_version=(0, 10, 1)
)
self.schema = avro.schema.parse(open("Schema.avsc", "rb").read())
self.reader = avro.io.DatumReader(self.schema)
def do(self):
for msg in self.client:
bytes_reader = io.BytesIO(msg.value)
decoder = BinaryDecoder(bytes_reader)
self.data = self.reader.read(decoder)
While reading why this is so slow I've found fastavro
which should be much faster. I am using this this way:
def do(self):
schema = fastavro.schema.load_schema('Schema.avsc')
for msg in self.client:
bytes_reader = io.BytesIO(msg.value)
bytes_reader.seek(0)
for record in reader(bytes_reader, schema):
self.data = record
And, since everything is working when using Apache's librabry, I would expect that everything will be working the same way with fastavro
. However, when running this, I am getting
File "fastavro/_read.pyx", line 389, in fastavro._read.read_map
File "fastavro/_read.pyx", line 290, in fastavro._read.read_utf8
File "fastavro/_six.pyx", line 22, in fastavro._six.py3_btou
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xfc in position 3: invalid start byte
I don't usually program in Python, so I don't exactly know how to approach this. Any ideas?