memphis-py 0.2.1

A powerful messaging platform for modern developers

Real-Time Data Processing Platform

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Memphis{dev} is an open-source real-time data processing platform
that provides end-to-end support for in-app streaming use cases using Memphis distributed message broker.
Memphis' platform requires zero ops, enables rapid development, extreme cost reduction,
eliminates coding barriers, and saves a great amount of dev time for data-oriented developers and data engineers.

Installation

$ pip3 install memphis-py

Importing

from memphis import Memphis, Headers
from memphis import retention_types, storage_types

Connecting to Memphis

First, we need to create Memphis object and then connect with Memphis by using memphis.connect.

async def main():
  try:
    memphis = Memphis()
    await memphis.connect(
      host="<memphis-host>",
      username="<application-type username>",
      connection_token="<broker-token>",
      port="<port>", # defaults to 6666
      reconnect=True, # defaults to True
      max_reconnect=3, # defaults to 3
      reconnect_interval_ms=1500, # defaults to 1500
      timeout_ms=1500 # defaults to 1500
      )
    ...
  except Exception as e:
    print(e)
  finally:
    await memphis.close()

if __name__ == '__main__':
  asyncio.run(main())

Once connected, the entire functionalities offered by Memphis are available.

Disconnecting from Memphis

To disconnect from Memphis, call close() on the memphis object.

await memphis.close()

Creating a Station

station = memphis.station(
  name="<station-name>",
  retention_type=retention_types.MAX_MESSAGE_AGE_SECONDS, # MAX_MESSAGE_AGE_SECONDS/MESSAGES/BYTES. Defaults to MAX_MESSAGE_AGE_SECONDS
  retention_value=604800, # defaults to 604800
  storage_type=storage_types.FILE, # torage_types.FILE/torage_types.MEMORY. Defaults to MEMORY
  replicas=1, # defaults to 1
  dedup_enabled=False, # defaults to false
  dedup_window_ms: 0, # defaults to 0
)

Retention types

Memphis currently supports the following types of retention:

memphis.retention_types.MAX_MESSAGE_AGE_SECONDS

Means that every message persists for the value set in retention value field (in seconds)

memphis.retention_types.MESSAGES

Means that after max amount of saved messages (set in retention value), the oldest messages will be deleted

memphis.retention_types.BYTES

Means that after max amount of saved bytes (set in retention value), the oldest messages will be deleted

Storage types

Memphis currently supports the following types of messages storage:

memphis.storage_types.FILE

Means that messages persist on the file system

memphis.storage_types.MEMORY

Means that messages persist on the main memory

Destroying a Station

Destroying a station will remove all its resources (producers/consumers)

station.destroy()

Produce and Consume messages

The most common client operations are produce to send messages and consume to receive messages.

Messages are published to a station and consumed from it by creating a consumer. Consumers are pull based and consume all the messages in a station unless you are using a consumers group, in this case messages are spread across all members in this group.

Memphis messages are payload agnostic. Payloads are bytearray.

In order to stop getting messages, you have to call consumer.destroy(). Destroy will terminate regardless of whether there are messages in flight for the client.

Creating a Producer

producer = await memphis.producer(station_name="<station-name>", producer_name="<producer-name>", generate_random_suffix=False)

Producing a message

await prod.produce(
  message='bytearray/protobuf class', # bytes / protobuf class in case your station is schema validated
  ack_wait_sec=15) # defaults to 15

Add headers

headers= Headers()
headers.add("key", "value")
await producer.produce(
  message='bytearray/protobuf class', # bytes / protobuf class in case your station is schema validated
  headers=headers) # default to {}

Async produce

Meaning your application won't wait for broker acknowledgement - use only in case you are tolerant for data loss

await producer.produce(
  message='bytearray/protobuf class', # bytes / protobuf class in case your station is schema validated
  headers={}, async_produce=True)

Destroying a Producer

producer.destroy()

Creating a Consumer

consumer = await memphis.consumer(
  station_name="<station-name>",
  consumer_name="<consumer-name>",
  consumer_group="<group-name>", # defaults to the consumer name
  pull_interval_ms=1000, # defaults to 1000
  batch_size=10, # defaults to 10
  batch_max_time_to_wait_ms=5000, # defaults to 5000
  max_ack_time_ms=30000, # defaults to 30000
  max_msg_deliveries=10, # defaults to 10
  generate_random_suffix=False
)

Processing messages

Once all the messages in the station were consumed the msg_handler will receive error: Memphis: TimeoutError.

async def msg_handler(msgs, error):
  for msg in msgs:
    print("message: ", msg.get_data())
    await msg.ack()
  if error:
    print(error)
consumer.consume(msg_handler)

Acknowledge a message

Acknowledge a message indicates the Memphis server to not re-send the same message again to the same consumer / consumers group

await message.ack()

Get headers

Get headers per message

``python headers = message.get_headers()

### Destroying a Consumer

```python
consumer.destroy()