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@@ -1,24 +1,97 @@
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-# EMQX Replay
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+# EMQX Durable Storage
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-`emqx_ds` is an application implementing durable storage for MQTT messages within EMQX.
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+`emqx_durable_storage` (DS for short) is an application implementing durable storage for MQTT messages within EMQX.
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+
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+The core design idea behind `emqx_durable_storage` is to store each message exactly once (per each replica of the database), regardless of the number of consumers, online or offline.
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+This makes the storage disk requirements very predictable: only the number of _published_ messages matters; the number of consumers is removed from the equation, and fan-out is practically free in terms of disk storage.
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# Features
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# Features
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-- Streams. Stream is an abstraction that encompasses topics, shards, different data layouts, etc.
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- The client application must only aware of the streams.
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+## Callback modules
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+
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+### Backend
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+
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+DS _backend_ is a callback module that implements `emqx_ds` behavior.
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+
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+EMQX repository contains the "builtin" backend, implemented in `emqx_ds_replication_layer` module, that uses RocksDB as the main storage.
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+
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+Note that builtin backend introduces the concept of **site** to alleviate the problem of changing node names.
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+Site IDs are persistent, and they are randomly generated at the first startup of the node.
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+Each node in the cluster has a unique site ID, that is independent from the Erlang node name (`emqx@...`).
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+
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+### Layout
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+
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+DS _layout_ is a module that implements `emqx_ds_storage_layer` behavior.
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+Layout modules are the only modules that have direct access to the underlying storage engine, in both reads and writes.
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+
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+Different storage layouts can be used to maximize the efficiency of message storage and retrieval for various types of workload.
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+
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+Backward- and forward-incompatible changes to the layout modules are forbidden.
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+EMQX should always be able to read the data written by the old releases.
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+Non-compatible changes must be implemented as entirely new layout modules.
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+
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+## How does EMQX organize data
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+
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+Messages are organized in the following hierarchy:
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+
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+1. **Database**.
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+ DS databases are completely independent from each other.
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+ They can have different schema, different backend, and they can be opened, closed, created and dropped independently from each other.
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+
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+ Each database can be used for a different type of payload or a different tenant.
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+
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+2. **Shard**.
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+ (The concept of shard is specific to the builtin backend)
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+ The builtin backend separates different messages into shards.
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+ Sharding can be performed by `clientId` or the topic of the message.
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+
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+3. **Generation**.
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+ Each shard is additionally split into partitions called generations, each one covering a particular period of time.
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+ New messages are written only into the _current_ generation, while the previous generations are only accessible for reading.
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+
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+ Different generations can use different layout modules to organize the data.
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+ In fact, in order to change the layout of the data the application must create a new generation, so the previously recorded messages remain readable without having to perform a heavy migration procedure.
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+ Generations can also be used for the garbage collection and message retention policies: since all messages in the generation belong to a certain interval of time, old messages can be efficiently deleted by dropping the entire generation.
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-- Batching. All the API functions are batch-oriented.
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-- Iterators. Iterators can be stored durably or transferred over network.
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- They take relatively small space.
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+4. *Stream*.
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+ Finally, messages in each shard and generation are split into streams.
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+ Every stream can contain messages from multiple topics.
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+ The number of streams is expected to be relatively low in comparison with the number of topics: one stream can potentially contain millions of topics.
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+ Various layout callback modules can employ different strategies for mapping topics into streams.
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-- Support for various backends. Almost any DBMS that supports range
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- queries can serve as a `emqx_durable_storage` backend.
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+ Stream is *the only* unit of message serialization in `emqx_durable_storage` application.
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-- Builtin backend based on RocksDB.
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- - Changing storage layout on the fly: it's achieved by creating a
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- new set of tables (known as "generation") and the schema.
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- - Sharding based on publisher's client ID
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+ The consumer of the messages can replay the stream using an _iterator_.
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+
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+## Message replay
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+
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+All the API functions in EMQX DS are batch-oriented.
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+
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+Consumption of messages is done in several stages:
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+
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+1. The consumer calls `emqx_ds:get_streams` function to get the list of streams that contain messages from a given topic filter, and a given time range.
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+
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+2. `get_streams` returns the list of streams together with their _ranks_.
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+ The rank of the stream is a tuple with two elements, called `X` and `Y`.
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+
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+ The consumer must follow the below rules to avoid reordering of the messages:
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+
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+ - Streams with different `X`-ranks can always be replayed in parallel, regardless of their `Y`-rank.
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+ - Streams with the same `X` and `Y`-rank can be replayed in parallel.
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+ - Groups of streams with the same `X` rank should be replayed in order of their `Y`-rank
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+
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+3. In order to start replay of the stream, the consumer calls `emqx_ds:make_iterator` function that returns an _iterator_ object.
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+ Iterators are the pointers to a particular position in the stream, they can be saved and restored as regular Erlang terms.
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+
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+4. The consumer then proceeds to call `emqx_ds:next` function to fetch messages.
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+ - If this function returns `{ok, end_of_stream}`, it means the stream is fully replayed.
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+ - If this function returns `{ok, NextIterator, []}`, it means new messages can appear in the stream.
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+
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+ Note: the consumer must implement a fair strategy for consuming messages from different streams.
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+ It cannot rely on an assumption that it can reach the end of a stream in a finite time.
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+
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+5. The consumer must periodically refresh the list of streams as explained in 1, because new streams can appear from time to time.
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# Limitation
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# Limitation
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@@ -36,10 +109,16 @@ In the future it can serve as a storage for retained messages or as a generic me
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# Configurations
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# Configurations
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-`emqx_durable_storage` doesn't have any configurable parameters.
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-Instead, it relies on the upper-level business applications to create
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-a correct configuration and pass it to `emqx_ds:open_db(DBName, Config)`
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-function according to its needs.
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+Global options for `emqx_durable_storage` application are configured via OTP application environment.
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+Database-specific settings are stored in the schema table.
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+
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+The following application environment variables are available:
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+
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+- `emqx_durable_storage.db_data_dir`: directory where the databases are located
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+
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+- `emqx_durable_storage.egress_batch_size`: number of messages stored in the batch before it is committed to the durable storage.
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+
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+- `emqx_durable_storage.egress_flush_interval`: period at which the batches of messages are committed to the durable storage.
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# HTTP APIs
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# HTTP APIs
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