puavro 1.0.2

Pulsar AVRO interface allowing to read/write AVRO messages from/to dict

puavro

The puavro is a small convenience library enabling usage of the Apache Pulsar Python client with pre-defined AVRO schemas and Python dictionaries instead of AVRO schemas declared as records.

In other words, the library provides an interface to the standard Apache Pulsar client allowing to read/write AVRO messages from/to Python dictionary using AVRO schema, either:

• declared as Python dictionary (using fastavro.schema.parse_schema()) or
• loaded from .avsc file (using fastavro.schema.load_schema()) or
• parsed from JSON string (using fastavro.schema.parse_schema(json.loads())).

The puavro library consists of just two classes:

• DictAVRO derived from Python dict and designated to be used instead of pulsar.schema.Record class;
• DictAvroSchema derived from pulsar.schema.AvroSchema and designated to be used instead.

See also:

• How to use
• Samples

Motivation

To enable usage of Python Pulsar client with AVRO messages generated / received by modules written in other languages and using external AVRO schemas (e.g. stored in .avsc files).

Installing

puavro is available on PyPi:

pip install puavro

Dependencies

The library depends on the following modules:

fastavro>=1.4.4
pulsar-client>=2.7.0

Compatibility

The library has been run and tested against Pulsar Python client v. 2.7.0 and 2.8.0. and fastavro v. 1.4.4. and is expected to be compatible with all higher versions also.

License

The library is provided under terms of the MIT license.

How to use

The samples in this sections assume the following imports:

import pulsar
import fastavro
import puavro

import json
import datetime
from pprint import pp

Defining dictionary for AVRO schema

class Segment(puavro.DictAVRO):
    SCHEMA = fastavro.schema.load_schema("Segment.avsc")

or

class Segment(puavro.DictAVRO):
    SCHEMA = fastavro.schema.parse_schema(json.loads("""{
  "type" : "record",
  "name" : "Segment",
  "namespace" : "try",
  "fields" : [ {
    "name" : "id",
    "type" : "long"
  }, {
    "name" : "name",
    "type" : "string"
  }, {
    "name" : "when",
    "type" : {
      "type" : "long",
      "logicalType" : "timestamp-millis"
    }
  }, {
    "name" : "direction",
    "type" : {
      "type" : "enum",
      "name" : "CardinalDirection",
      "symbols" : [ "north", "south", "east", "west" ]
    }
  }, {
    "name" : "length",
    "type" : [ "null", "long" ]
  } ]
}
"""))

or

class Segment(puavro.DictAVRO):
    SCHEMA = fastavro.schema.parse_schema({
        "type" : "record",
        "name" : "Segment",
        "namespace" : "try",
        "fields" : [ {
            "name" : "id",
            "type" : "long"
        }, {
            "name" : "name",
            "type" : "string"
        }, {
            "name" : "when",
            "type" : {
            "type" : "long",
            "logicalType" : "timestamp-millis"
            }
        }, {
            "name" : "direction",
            "type" : {
            "type" : "enum",
            "name" : "CardinalDirection",
            "symbols" : [ "north", "south", "east", "west" ]
            }
        }, {
            "name" : "length",
            "type" : [ "null", "long" ]
        } ]
        })

or

class Segment(puavro.DictAVRO):
    pass

Segment.set_schema(fastavro.schema.load_schema("segment.avsc"))

Producer

Using class Segment (derived from puavro.DictAVRO above) and puavro.DictAvroSchema class (instead of pulsar.schema.AvroSchema):

PULSAR_SERVICE_URL = "pulsar://localhost:6650"
TOPIC = "try"

pulsar_client = pulsar.Client(PULSAR_SERVICE_URL)
producer = pulsar_client.create_producer(topic=TOPIC, 
                                         schema=puavro.DictAvroSchema(Segment))
try:
    segment = Segment(
        id=99,
        name = "some name",
        when = datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc),
        direction = "north",
        length = 12345,
    )
    producer.send(segment)
finally:
    producer.close()
    pulsar_client.close()

Consumer

Using class Segment (derived from puavro.DictAVRO above) and puavro.DictAvroSchema class (instead of pulsar.schema.AvroSchema):

PULSAR_SERVICE_URL = "pulsar://localhost:6650"
TOPIC = "try"
WAIT_SECONDS = 3

pulsar_client = pulsar.Client(PULSAR_SERVICE_URL)
consumer = pulsar_client.subscribe(TOPIC, 
                                   subscription_name="sample", 
                                   consumer_type=pulsar.ConsumerType.Shared,
                                   schema=puavro.DictAvroSchema(Segment))
try:
    while True:
        msg = consumer.receive(WAIT_SECONDS * 1000)
        segment = msg.value()

        pp(segment)

        consumer.acknowledge(msg)
except Exception as e:
    if str(e) == 'Pulsar error: TimeOut':
        print("END OF DATA")
    else:
        raise
finally:
    consumer.close()
    pulsar_client.close()

Samples

The complete samples can be found in the samples directory:

• Producer: sender.py
• Consumer: receiver.py
• AVRO schema: Segment.avsc
• AVRO IDL: try.avdl