memphis-py 1.1.1

A powerful messaging platform for modern developers

Memphis is an intelligent, frictionless message broker.
Made to enable developers to build real-time and streaming apps fast.

Cloud - Docs - Twitter - YouTube

Memphis.dev is more than a broker. It's a new streaming stack.

It accelerates the development of real-time applications that require
high throughput, low latency, small footprint, and multiple protocols,
with minimum platform operations, and all the observability you can think of.

Highly resilient, distributed architecture, cloud-native, and run on any Kubernetes,
on any cloud without zookeeper, bookeeper, or JVM.

Installation

$ pip3 install memphis-py

Importing

from memphis import Memphis, Headers
from memphis.types import Retention, Storage
import asyncio

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>",
      account_id=<account_id>, # You can find it on the profile page in the Memphis UI. This field should be sent only on the cloud version of Memphis, otherwise it will be ignored
      connection_token="<broker-token>", # you will get it on application type user creation
      password="<string>", # depends on how Memphis deployed - default is connection token-based authentication
      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
      # for TLS connection:
      key_file='<key-client.pem>', 
      cert_file='<cert-client.pem>', 
      ca_file='<rootCA.pem>'
      )
    ...
  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

Unexist stations will be created automatically through the SDK on the first producer/consumer connection with default values.

If a station already exists nothing happens, the new configuration will not be applied

station = memphis.station(
  name="<station-name>",
  schema_name="<schema-name>",
  retention_type=Retention.MAX_MESSAGE_AGE_SECONDS, # MAX_MESSAGE_AGE_SECONDS/MESSAGES/BYTES/ACK_BASED(cloud only). Defaults to MAX_MESSAGE_AGE_SECONDS
  retention_value=604800, # defaults to 604800
  storage_type=Storage.DISK, # Storage.DISK/Storage.MEMORY. Defaults to DISK
  replicas=1, # defaults to 1
  idempotency_window_ms=120000, # defaults to 2 minutes
  send_poison_msg_to_dls=True, # defaults to true
  send_schema_failed_msg_to_dls=True, # defaults to true
  tiered_storage_enabled=False # defaults to false
  partitions_number=1 # default to 1 
)

Retention types

Memphis currently supports the following types of retention:

memphis.types.Retention.MAX_MESSAGE_AGE_SECONDS

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

memphis.types.Retention.MESSAGES

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

memphis.types.Retention.BYTES

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

memphis.types.Retention.ACK_BASED # for cloud users only

Means that after a message is getting acked by all interested consumer groups it will be deleted from the Station.

Retention Values

The retention values are directly related to the retention types mentioned above, where the values vary according to the type of retention chosen.

All retention values are of type int but with different representations as follows:

memphis.types.Retention.MAX_MESSAGE_AGE_SECONDS is represented in seconds, memphis.types.Retention.MESSAGES in a number of messages, memphis.types.Retention.BYTES in a number of bytes and finally and finally memphis.ACK_BASED is not using the retentionValue param at all.

After these limits are reached oldest messages will be deleted.

Storage types

Memphis currently supports the following types of messages storage:

memphis.types.Storage.DISK

Means that messages persist on disk

memphis.types.Storage.MEMORY

Means that messages persist on the main memory

Station partitions

Memphis station is created with 1 patition by default You can change the patitions number as you wish in order to scale your stations

Destroying a Station

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

station.destroy()

Creating a New Schema

await memphis.create_schema("<schema-name>", "<schema-type>", "<schema-file-path>")

Current available schema types - Protobuf / JSON schema / GraphQL schema / Avro

Enforcing a Schema on an Existing Station

await memphis.enforce_schema("<schema-name>", "<station-name>")

Deprecated - Attaching a Schema, use enforce_schema instead

await memphis.attach_schema("<schema-name>", "<station-name>")

Detaching a Schema from Station

await memphis.detach_schema("<station-name>")

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.

If a station is created with more than one partition, produce and consume bill be perform in a Round Robin fasion

Creating a Producer

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

Producing a message

Without creating a producer. In cases where extra performance is needed the recommended way is to create a producer first and produce messages by using the produce function of it

await memphis.produce(station_name='test_station_py', producer_name='prod_py',
  message='bytearray/protobuf class/dict/string/graphql.language.ast.DocumentNode', # bytearray / protobuf class (schema validated station - protobuf) or bytearray/dict (schema validated station - json schema) or string/bytearray/graphql.language.ast.DocumentNode (schema validated station - graphql schema) or bytearray/dict (schema validated station - avro schema)
  generate_random_suffix=False, #defaults to false
  ack_wait_sec=15, # defaults to 15
  headers=headers, # default to {}
  nonblocking=False, #defaults to false
  msg_id="123"
)

With creating a producer

await producer.produce(
  message='bytearray/protobuf class/dict/string/graphql.language.ast.DocumentNode', # bytearray / protobuf class (schema validated station - protobuf) or bytearray/dict (schema validated station - json schema) or string/bytearray/graphql.language.ast.DocumentNode (schema validated station - graphql schema) or or bytearray/dict (schema validated station - avro schema)
  ack_wait_sec=15) # defaults to 15

Add headers

headers= Headers()
headers.add("key", "value")
await producer.produce(
  message='bytearray/protobuf class/dict/string/graphql.language.ast.DocumentNode', # bytearray / protobuf class (schema validated station - protobuf) or bytearray/dict (schema validated station - json schema) or string/bytearray/graphql.language.ast.DocumentNode (schema validated station - graphql schema) or or bytearray/dict (schema validated station - avro schema)
  headers=headers) # default to {}

Non-blocking Produce

For better performance, the client won't block requests while waiting for an acknowledgment.

await producer.produce(
  message='bytearray/protobuf class/dict/string/graphql.language.ast.DocumentNode', # bytearray / protobuf class (schema validated station - protobuf) or bytearray/dict (schema validated station - json schema) or string/bytearray/graphql.language.ast.DocumentNode (schema validated station - graphql schema)
  headers={}, nonblocking=True)

Non-blocking Produce with Task Limits

For better performance, the client won't block requests while waiting for an acknowledgment. If you are producing a large number of messages and see timeout errors, then you may need to limit the number of concurrent tasks like so:

await producer.produce(
  message='bytearray/protobuf class/dict/string/graphql.language.ast.DocumentNode', # bytearray / protobuf class (schema validated station - protobuf) or bytearray/dict (schema validated station - json schema) or string/bytearray/graphql.language.ast.DocumentNode (schema validated station - graphql schema)
  headers={}, nonblocking=True, limit_concurrent_tasks=500)

Message ID

Stations are idempotent by default for 2 minutes (can be configured), Idempotency achieved by adding a message id

await producer.produce(
  message='bytearray/protobuf class/dict', # bytes / protobuf class (schema validated station - protobuf) or bytes/dict (schema validated station - json schema)
  headers={}, 
  async_produce=True,
  msg_id="123")

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,
  start_consume_from_sequence=1, # start consuming from a specific sequence. defaults to 1
  last_messages=-1 # consume the last N messages, defaults to -1 (all messages in the station)
)

Setting a context for message handler function

context = {"key": "value"}
consumer.set_context(context)

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

Fetch a single batch of messages

msgs = await memphis.fetch_messages(
  station_name="<station-name>",
  consumer_name="<consumer-name>",
  consumer_group="<group-name>", # defaults to the consumer name
  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
  start_consume_from_sequence=1 # start consuming from a specific sequence. defaults to 1
  last_messages=-1 # consume the last N messages, defaults to -1 (all messages in the station))
)

Fetch a single batch of messages after creating a consumer

msgs = await consumer.fetch(batch_size=10) # defaults to 10

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()

Delay the message after a given duration

Delay the message and tell Memphis server to re-send the same message again to the same consumer group. The message will be redelivered only in case consumer.max_msg_deliveries is not reached yet.

await message.delay(delay_in_seconds)

Get headers

Get headers per message

headers = message.get_headers()

Get message sequence number

Get message sequence number

sequence_number = msg.get_sequence_number()

Destroying a Consumer

consumer.destroy()

Check connection status

memphis.is_connected()