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Merge pull request #11143 from ieQu1/master

docs(ds): Update IMPLEMENTATION.md
ieQu1 2 سال پیش
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f2074e9c9b
1فایلهای تغییر یافته به همراه90 افزوده شده و 4 حذف شده
  1. 90 4
      apps/emqx_durable_storage/IMPLEMENTATION.md

+ 90 - 4
apps/emqx_durable_storage/IMPLEMENTATION.md

@@ -3,9 +3,17 @@
 In the logic layer we don't speak about replication.
 In the logic layer we don't speak about replication.
 This is because we could use an external DB with its own replication logic.
 This is because we could use an external DB with its own replication logic.
 
 
-On the other hand, we introduce notion of shard right here at the logic.
+On the other hand, we introduce notion of shard right here at the logic layer.
 This is because shared subscription logic needs to be aware of it to some extend, as it has to split work between subscribers somehow.
 This is because shared subscription logic needs to be aware of it to some extend, as it has to split work between subscribers somehow.
 
 
+
+# Modus operandi
+
+1. Create a draft implementation of a milestone
+2. Test performance
+3. Test consistency
+4. Goto 1
+
 # Tables
 # Tables
 
 
 ## Message storage
 ## Message storage
@@ -14,8 +22,11 @@ Data is written every time a message matching certain pattern is published.
 This pattern is not part of the logic layer spec.
 This pattern is not part of the logic layer spec.
 
 
 Write throughput: very high
 Write throughput: very high
+
 Data size: very high
 Data size: very high
+
 Write pattern: append only
 Write pattern: append only
+
 Read pattern: pseudoserial
 Read pattern: pseudoserial
 
 
 Number of records: O(total write throughput * retention time)
 Number of records: O(total write throughput * retention time)
@@ -40,36 +51,111 @@ Data format:
 `#session{clientId = "foobar", iterators = [ItKey1, ItKey2, ItKey3, ...]}`
 `#session{clientId = "foobar", iterators = [ItKey1, ItKey2, ItKey3, ...]}`
 
 
 Number of records: O(N clients)
 Number of records: O(N clients)
+
 Size of record: O(N subscriptions per clients)
 Size of record: O(N subscriptions per clients)
 
 
 ## Iterator storage
 ## Iterator storage
 
 
 Data is written every time a client acks a message.
 Data is written every time a client acks a message.
+
 Data is read when a client reconnects and we restart replay agents.
 Data is read when a client reconnects and we restart replay agents.
 
 
 `#iterator{key = IterKey, data = Blob}`
 `#iterator{key = IterKey, data = Blob}`
 
 
 Number of records: O(N clients * N subscriptions per client)
 Number of records: O(N clients * N subscriptions per client)
+
 Size of record: O(1)
 Size of record: O(1)
+
 Write throughput: high, lots of small updates
 Write throughput: high, lots of small updates
+
 Write pattern: mostly key overwrite
 Write pattern: mostly key overwrite
+
 Read throughput: low
 Read throughput: low
+
 Read pattern: random
 Read pattern: random
 
 
 # Push vs. Pull model
 # Push vs. Pull model
 
 
 In push model we have replay agents iterating over the dataset in the shards.
 In push model we have replay agents iterating over the dataset in the shards.
 
 
-In pull model the the client processes work with iterators.
+In pull model the client processes work with iterators directly and fetch data from the remote message storage instances via remote procedure calls.
 
 
 ## Push pros:
 ## Push pros:
 - Lower latency: message can be dispatched to the client as soon as it's persisted
 - Lower latency: message can be dispatched to the client as soon as it's persisted
 - Less worry about buffering
 - Less worry about buffering
 
 
 ## Push cons:
 ## Push cons:
-- Need pushback logic
+- Needs pushback logic
 - It's not entirely justified when working with external DB that may not provide streaming API
 - It's not entirely justified when working with external DB that may not provide streaming API
 
 
 ## Pull pros:
 ## Pull pros:
 - No need for pushback: client advances iterators at its own tempo
 - No need for pushback: client advances iterators at its own tempo
--
+
+## Pull cons:
+- 2 messages need to be sent over network for each batch being replayed.
+- RPC is generally an antipattern
+
+# Invariants
+
+- All messages written to the shard always have larger sequence number than all the iterators for the shard (to avoid missing messages during replay)
+
+
+# Parallel tracks
+
+## 0. Configuration
+
+This includes HOCON schema and an interface module that is used by the rest of the code (`emqx_ds_conf.erl`).
+
+At the early stage we need at least to implement a feature flag that can be used by developers.
+
+We should have safety measures to prevent a client from breaking down the broker by connecting with clean session = false and subscribing to `#`.
+
+## 1. Fully implement all emqx_durable_storage APIs
+
+### Message API
+
+### Session API
+
+### Iterator API
+
+## 2. Implement a filter for messages that has to be persisted
+
+We don't want to persist ALL messages.
+Only the messages that can be replayed by some client.
+
+1. Persistent sessions should signal to the emqx_broker what topic filters should be persisted.
+   Scenario:
+   - Client connects with clean session = false.
+   - Subscribes to the topic filter a/b/#
+   - Now we need to signal to the rest of the broker that messages matching `a/b/#` must be persisted.
+
+2. Replay feature (separate, optional, under BSL license): in the configuration file we have list of topic filters that specify what topics can be replayed. (Lower prio)
+   - Customers can do this: `#`
+   - Include minimum QoS of messages in the config
+
+## 3. Replace current emqx_persistent_session with the emqx_durable_storage
+
+## 4. Garbage collection
+
+## 5. Tooling for performance and consistency testing
+
+At the first stage we can just use emqttb:
+
+https://github.com/emqx/emqttb/blob/master/src/scenarios/emqttb_scenario_persistent_session.erl
+
+
+Consistency verification at the early stages can just use this test suite:
+
+`apps/emqx/test/emqx_persistent_session_SUITE.erl`
+
+## 6. Update rocksdb version in EMQX (low prio)
+
+## 9999. Alternative schema for rocksdb message table
+
+https://github.com/emqx/eip/blob/main/active/0023-rocksdb-message-persistence.md#potential-for-future-optimizations-keyspace-based-on-the-learned-topic-patterns
+
+Problem with the current bitmask-based schema:
+
+- Good: `a/b/c/#`
+
+- Bad: `+/a/b/c/d`