This commit continues the work of taking advantage of the streaming
capabilities in go-libp2p-gorpc by improving the ipfsconnector and pintracker
components.
StatusAll and RecoverAll methods are now streaming methods, with the REST API
output changing accordingly to produce a stream of GlobalPinInfos rather than
a json array.
pin/ls request to the ipfs daemon now use ?stream=true and avoid having to
load the full pinset map on memory. StatusAllLocal and RecoverAllLocal
requests to the pin tracker stream all the way and no longer store the full
pinset, and the full PinInfo status slice before sending it out.
We have additionally switched to a pattern where streaming methods receive the
channel as an argument, allowing the caller to decide on whether to launch a
goroutine, do buffering etc.
This commit introduces the new go-libp2p-gorpc streaming capabilities for
Cluster. The main aim is to work towards heavily reducing memory usage when
working with very large pinsets.
As a side-effect, it takes the chance to revampt all types for all public
methods so that pointers to static what should be static objects are not used
anymore. This should heavily reduce heap allocations and GC activity.
The main change is that state.List now returns a channel from which to read
the pins, rather than pins being all loaded into a huge slice.
Things reading pins have been all updated to iterate on the channel rather
than on the slice. The full pinset is no longer fully loaded onto memory for
things that run regularly like StateSync().
Additionally, the /allocations endpoint of the rest API no longer returns an
array of pins, but rather streams json-encoded pin objects directly. This
change has extended to the restapi client (which puts pins into a channel as
they arrive) and to ipfs-cluster-ctl.
There are still pending improvements like StatusAll() calls which should also
stream responses, and specially BlockPut calls which should stream blocks
directly into IPFS on a single call.
These are coming up in future commits.
This fixes the issue about partitions not being picked based
on the amount of freespace available in them.
It additionally removes the metrics registry and carries information directly
in the metric.
Metrics have two additional fields: Weight and Partitionable.
Informers have been updated to make use of these fields. Partitions have
weights that equals to the weight of the metrics under them.
Older cluster versions will not set these fields. Partitionable is false by
default and weight has a GetWeight() function to convert value->weight when
unset. This provides backwards compatibility for the freespace metric.
The new "metrics" allocator is about to partition metrics and distribe
allocations among the partitions.
For example: given a region, an availability zone and free space on disk, the
allocator would be able to choose allocations by distributing among regions
and availability zones as much as possible, and for those peers in the same
region/az, selecting those with most free space first.
This requires a major overhaul of the allocator component.
I had thought of this for a very long time but there were no compelling
reasons to do it. Specifying RPC endpoint permissions becomes however
significantly nicer if each Component is a different RPC Service. This also
fixes some naming issues like having to prefix methods with the component name
to separate them from methods named in the same way in some other component
(Pin and IPFSPin).
This takes advantange of the latest features in go-cid, peer.ID and
go-multiaddr and makes the Go types serializable by default.
This means we no longer need to copy between Pin <-> PinSerial, or ID <->
IDSerial etc. We can now efficiently binary-encode these types using short
field keys and without parsing/stringifying (in many cases it just a cast).
We still get the same json output as before (with minor modifications for
Cids).
This should greatly improve Cluster performance and memory usage when dealing
with large collections of items.
License: MIT
Signed-off-by: Hector Sanjuan <hector@protocol.ai>
Get jsonConfig from Config, apply env vars to it, load jsonConfig
back into Config.
License: MIT
Signed-off-by: Robert Ignat <robert.ignat91@gmail.com>
* cluster and restapi configs can also get values from environment variables
* other config components don't read any values from the environment
License: MIT
Signed-off-by: Robert Ignat <robert.ignat91@gmail.com>
This commit adds support for OpenCensus tracing
and metrics collection. This required support for
context.Context propogation throughout the cluster
codebase, and in particular, the ipfscluster component
interfaces.
The tracing propogates across RPC and HTTP boundaries.
The current default tracing backend is Jaeger.
The metrics currently exports the metrics exposed by
the opencensus http plugin as well as the pprof metrics
to a prometheus endpoint for scraping.
The current default metrics backend is Prometheus.
Metrics are currently exposed by default due to low
overhead, can be turned off if desired, whereas tracing
is off by default as it has a much higher performance
overhead, though the extent of the performance hit can be
adjusted with smaller sampling rates.
License: MIT
Signed-off-by: Adrian Lanzafame <adrianlanzafame92@gmail.com>
GetTTL returns duration. SetTTL should take duration too, not seconds.
This removes the original SetTTL method which used seconds.
License: MIT
Signed-off-by: Hector Sanjuan <code@hector.link>
The following commit reimplements ipfs-cluster configuration under
the following premises:
* Each component is initialized with a configuration object
defined by its module
* Each component decides how the JSON representation of its
configuration looks like
* Each component parses and validates its own configuration
* Each component exposes its own defaults
* Component configurations are make the sections of a
central JSON configuration file (which replaces the current
JSON format)
* Component configurations implement a common interface
(config.ComponentConfig) with a set of common operations
* The central configuration file is managed by a
config.ConfigManager which:
* Registers ComponentConfigs
* Assigns the correspondent sections from the JSON file to each
component and delegates the parsing
* Delegates the JSON generation for each section
* Can be notified when the configuration is updated and must be
saved to disk
The new service.json would then look as follows:
```json
{
"cluster": {
"id": "QmTVW8NoRxC5wBhV7WtAYtRn7itipEESfozWN5KmXUQnk2",
"private_key": "<...>",
"secret": "00224102ae6aaf94f2606abf69a0e278251ecc1d64815b617ff19d6d2841f786",
"peers": [],
"bootstrap": [],
"leave_on_shutdown": false,
"listen_multiaddress": "/ip4/0.0.0.0/tcp/9096",
"state_sync_interval": "1m0s",
"ipfs_sync_interval": "2m10s",
"replication_factor": -1,
"monitor_ping_interval": "15s"
},
"consensus": {
"raft": {
"heartbeat_timeout": "1s",
"election_timeout": "1s",
"commit_timeout": "50ms",
"max_append_entries": 64,
"trailing_logs": 10240,
"snapshot_interval": "2m0s",
"snapshot_threshold": 8192,
"leader_lease_timeout": "500ms"
}
},
"api": {
"restapi": {
"listen_multiaddress": "/ip4/127.0.0.1/tcp/9094",
"read_timeout": "30s",
"read_header_timeout": "5s",
"write_timeout": "1m0s",
"idle_timeout": "2m0s"
}
},
"ipfs_connector": {
"ipfshttp": {
"proxy_listen_multiaddress": "/ip4/127.0.0.1/tcp/9095",
"node_multiaddress": "/ip4/127.0.0.1/tcp/5001",
"connect_swarms_delay": "7s",
"proxy_read_timeout": "10m0s",
"proxy_read_header_timeout": "5s",
"proxy_write_timeout": "10m0s",
"proxy_idle_timeout": "1m0s"
}
},
"monitor": {
"monbasic": {
"check_interval": "15s"
}
},
"informer": {
"disk": {
"metric_ttl": "30s",
"metric_type": "freespace"
},
"numpin": {
"metric_ttl": "10s"
}
}
}
```
This new format aims to be easily extensible per component. As such,
it already surfaces quite a few new options which were hardcoded
before.
Additionally, since Go API have changed, some redundant methods have been
removed and small refactoring has happened to take advantage of the new
way.
License: MIT
Signed-off-by: Hector Sanjuan <hector@protocol.ai>
New PeerManager, Allocator, Informer components have been added along
with a new "replication_factor" configuration option.
First, cluster peers collect and push metrics (Informer) to the Cluster
leader regularly. The Informer is an interface that can be implemented
in custom wayts to support custom metrics.
Second, on a pin operation, using the information from the collected metrics,
an Allocator can provide a list of preferences as to where the new pin
should be assigned. The Allocator is an interface allowing to provide
different allocation strategies.
Both Allocator and Informer are Cluster Componenets, and have access
to the RPC API.
The allocations are kept in the shared state. Cluster peer failure
detection is still missing and re-allocation is still missing, although
re-pinning something when a node is down/metrics missing does re-allocate
the pin somewhere else.
License: MIT
Signed-off-by: Hector Sanjuan <hector@protocol.ai>
