Skip to content
This repository has been archived by the owner on Oct 1, 2020. It is now read-only.

Latest commit

 

History

History
358 lines (254 loc) · 17.4 KB

File metadata and controls

358 lines (254 loc) · 17.4 KB

Riak Core, The Coordinator

At the end of my vnode post I asked the question "Where's the redundancy?" Currently there is none in RTS. Riak Core isn't magic. It won't do everything for you. Instead it's a suite of tools for building distributed systems. If you want redundancy you'll have to build it yourself. In this post I'll do just that by implementing a coordinator for RTS.

What is a Coordinator?

A coordinator is just what it sounds like. It's job is to coordinate incoming requests. It enforces the consistency semantics of N, R and W and performs anti-entropy services like read repair. In simpler terms, it's responsible for distributing data across the cluster and syncing data when it finds conflicts. You could think of vnodes as the things that Get Shit Done (TM) and the coordinators as the other things telling them what to do and overseeing the work. They work in tandem to make sure your request is being handled as best as it can.

Techincally speaking, a coordinator is a gen_fsm. Each request is handled in it's own Erlang process. A coordinator communicates with the vnode instances to fulfill requests.

To wrap up, a coordinator

  • coordinates requests

  • enforces the consistency requirements

  • performs anti-entropy

  • is an Erlang process that implements the gen_fsm behavior

  • and communicates with the vnode instances to execute the request

Implementing a Coordinator

Unlike the vnode, Riak Core doesn't define a coordinator behavior. You have to roll your own each time. I used Riak's get and put coordinators for guidance. You'll notice they both have a similar structure. I'm going to propose a general structure here that you can use as your guide, but remember that there's nothing set in stone on how to write a coordinator.

Before moving forward it's worth mentioning that you'll want to instantiate these coordinators under a simple_one_for_one supervisor. If you've never heard of simple_one_for_one before then think of it as a factory for Erlang processes of the same type. An incoming request will at some point call supervisor:start_child/2 to instantiate a new FSM dedicated to handling this specific request.

init(Args) -> {ok, InitialState, SD, Timeout}

Args                :: term()
InitialState        :: atom()
SD                  :: term()
Timeout             :: integer()

This is actually part of the gen_fsm behavior. It's a callback you must implement to specify the InitialState name and it's data (SD). In this case you'll also want to specify a Timeout value of 0 in order to immediately go to the InitialState, prepare.

A get coordinator for RTS is passed four arguments.

  1. ReqId: A unique id for this request.

  2. From: Who to send the reply to.

  3. Client: The name of the client entity -- the entity that is writing log events to RTS.

  4. StatName: The name of the statistic the requester is interested in.

This data will be passed as a list to init at which point it will build the initial state record and tell the FSM to proceed to the prepare state.

init([ReqId, From, Client, StatName]) ->
    SD = #state{req_id=ReqId,
                from=From,
                client=Client,
                stat_name=StatName},
    {ok, prepare, SD, 0}.

The write coordinator for RTS is very similar but has two additional arguments.

  1. Op: The operation to be performed, one of set, append, incr, incrby or sadd.

  2. Val: The value of the operation. For the incr op this is undefined.

Here is the code.

init([ReqID, From, Client, StatName, Op, Val]) ->
    SD = #state{req_id=ReqID,
                from=From,
                client=Client,
                stat_name=StatName,
                op=Op,
                val=Val},
    {ok, prepare, SD, 0}.

prepare(timeout, SD0) -> {next_state, NextState, SD, Timeout}

SD0 = SD            :: term()
NextState           :: atom()
Timeout             :: integer()

The job of prepare is to build the preference list. The preference list is the preferred set of vnodes that should participate in this request. Most of the work is actually done by riak_core_util:chash_key/1 and riak_core_apl:get_apl/3. Both the get and write coordinators do the same thing here.

  1. Calculate the index in the ring that this request falls on.

  2. From this index determine the N preferred partitions that should handle the request.

Here is the code.

prepare(timeout, SD0=#state{client=Client,
                            stat_name=StatName}) ->
    DocIdx = riak_core_util:chash_key({list_to_binary(Client),
                                       list_to_binary(StatName)}),
    Prelist = riak_core_apl:get_apl(DocIdx, ?N, rts_stat),
    SD = SD0#state{preflist=Prelist},
    {next_state, execute, SD, 0}.

The fact that the key is a two-tuple is simply a consequence of the fact that Riak Core was extracted from Riak and some of it's key-value semantics crossed during the extraction. In the future things like this may change.

execute(timeout, SD0) -> {next_state, NextState, SD}

SD0 = SD            :: term()
NextState           :: atom()

The execute state executes the request by sending commands to the vnodes in the preflist and then putting the coordinator into a waiting state. The code to do this in RTS is really simple; call the vnode command passing it the preference list. Under the covers the vnode uses riak_core_vnode_master:command/4 which will distribute the commands across the Preflist for you. I'll talk about this later in the post.

Here's the code for the get coordinator.

execute(timeout, SD0=#state{req_id=ReqId,
                            stat_name=StatName,
                            preflist=Prelist}) ->
    rts_stat_vnode:get(Prelist, ReqId, StatName),
    {next_state, waiting, SD0}.

The code for the write coordinator is almost identical except it's parameterized on Op.

execute(timeout, SD0=#state{req_id=ReqID,
                        stat_name=StatName,
                        op=Op,
                        val=undefined,
                        preflist=Preflist}) ->
    rts_stat_vnode:Op(Preflist, ReqID, StatName),
    {next_state, waiting, SD0}.

waiting(Reply, SD0) -> Result

Reply               :: {ok, ReqID}
Result              :: {next_state, NextState, SD}
                     | {stop, normal, SD}
NextState           :: atom()
SD0 = SD            :: term()

This is probably the most interesting state in the coordinator as it's job is to enforce the consistency requirements and possibly perform anti-entropy in the case of a get. The coordinator waits for replies from the various vnode instances it called in execute and stops once it's requirements have been met. The typical shape of this function is to pattern match on the Reply, check the state data SD0, and then either continue waiting or stop depending on the current state data.

The get coordinator waits for replies with the correct ReqId, increments the reply count and adds the Val to the list of Replies. If the quorum R has been met then return the Val to the requester and stop the coordinator. If the vnodes didn't agree on the value then return all observed values. In this post I am punting on the conflict resolution and anti-entropy part of the coordinator and exposing the inconsistent state to the client application. I'll implement conflict resolution in my next post. If the quorum hasn't been met then continue waiting for more replies.

waiting({ok, ReqID, Val}, SD0=#state{from=From, num_r=NumR0, replies=Replies0}) ->
    NumR = NumR0 + 1,
    Replies = [Val|Replies0],
    SD = SD0#state{num_r=NumR,replies=Replies},
    if
        NumR =:= ?R ->
            Reply =
                case lists:any(different(Val), Replies) of
                    true ->
                        Replies;
                    false ->
                        Val
                end,
            From ! {ReqID, ok, Reply},
            {stop, normal, SD};
        true -> {next_state, waiting, SD}
    end.

The write coordinator has things a little easier here because it only cares that W vnodes executed it's write request.

waiting({ok, ReqID}, SD0=#state{from=From, num_w=NumW0}) ->
    NumW = NumW0 + 1,
    SD = SD0#state{num_w=NumW},
    if
    NumW =:= ?W ->
            From ! {ReqID, ok},
            {stop, normal, SD};
    true -> {next_state, waiting, SD}
    end.

What About the Entry Coordinator?

Some of you may be wondering why I didn't write a coordinator for the entry vnode? If you don't remember this is responsible for matching an incoming log entry and then executing it's trigger function. For example, any incoming log entry from an access log in combined logging format will cause the total_reqs stat to be incremented by one. I only want this action to occur at maximum once per entry. There is no notion of N. I could write a coordinator that tries to make some guarentees about it's execution but for now I'm ok with possibly dropping data occasionally.

Changes to rts.erl and rts_stat_vnode

Now that I've written a coordinator to handle requests to RTS I need to refactor the old rts.erl and rts_stat_vnode. The model has changed from calling the vnode directly to delegating the work to rts_get_fsm which will call the various vnodes and collect responses.

rts:get ----> rts_stat_vnode:get (local)

                                                           /--> stat_vnode@rts1
rts:get ----> rts_get_fsm:get ----> riak_stat_vnode:get --|---> stat_vnode@rts2
                                                           \--> stat_vnode@rts3

Instead of performing a synchronous request the rts:get/2 function now calls the get coordinator and then waits for a response.

get(Client, StatName) ->
    {ok, ReqID} = rts_get_fsm:get(Client, StatName),
    wait_for_reqid(ReqID, ?TIMEOUT).

The write requests underwent a similar refactoring.

do_write(Client, StatName, Op) ->
    {ok, ReqID} = rts_write_fsm:write(Client, StatName, Op),
    wait_for_reqid(ReqID, ?TIMEOUT).

do_write(Client, StatName, Op, Val) ->
    {ok, ReqID} = rts_write_fsm:write(Client, StatName, Op, Val),
    wait_for_reqid(ReqID, ?TIMEOUT).

The rts_stat_vnode was refactored to use riak_core_vnode_master:command/4 which takes a Preflist, Msg, Sender and VMaster as argument.

  • Preflist: The list of vnodes to send the command to.

  • Msg: The command to send.

  • Sender: A value describing who sent the request, in this case the coordinator. This is used by the vnode to correctly address the reply message.

  • VMaster: The name of the vnode master for the vnode type to send this command to.

    get(Preflist, ReqID, StatName) -> riak_core_vnode_master:command(Preflist, {get, ReqID, StatName}, {fsm, undefined, self()}, ?MASTER).

Coordinators in Action

Talk is cheap, lets see it in action. Towards the end of the vnode post I made the following statement.

If you start taking down nodes you'll find that stats start to disappear.

One of the main objectives of the coordinator is to fix this problem. Lets see if it worked.

Build the devrel

make
make devrel

Start the Cluster

for d in dev/dev*; do $d/bin/rts start; done
for d in dev/dev{2,3}; do $d/bin/rts-admin join rts1@127.0.0.1; done

Feed in Some Data

gunzip -c progski.access.log.gz | head -100 | ./replay --devrel progski

Get Some Stats

./dev/dev1/bin/rts attach
(rts1@127.0.0.1)1> rts:get("progski", "total_reqs").
{ok,97}
(rts1@127.0.0.1)2> rts:get("progski", "GET").       
{ok,91}
(rts1@127.0.0.1)3> rts:get("progski", "total_sent").
{ok,445972}
(rts1@127.0.0.1)4> rts:get("progski", "HEAD").      
{ok,6}
(rts1@127.0.0.1)5> rts:get("progski", "PUT").  
{ok,not_found}
(rts1@127.0.0.1)6> rts:get_dbg_preflist("progski", "total_reqs"). 
[{730750818665451459101842416358141509827966271488,
  'rts3@127.0.0.1'},
 {753586781748746817198774991869333432010090217472,
  'rts1@127.0.0.1'},
 {776422744832042175295707567380525354192214163456,
  'rts2@127.0.0.1'}]
(rts1@127.0.0.1)7> rts:get_dbg_preflist("progski", "GET").       
[{274031556999544297163190906134303066185487351808,
  'rts1@127.0.0.1'},
 {296867520082839655260123481645494988367611297792,
  'rts2@127.0.0.1'},
 {319703483166135013357056057156686910549735243776,
  'rts3@127.0.0.1'}]

Don't worry about what I did on lines 6 and 7 yet, I'll explain in a second.

Kill a Node

(rts1@127.0.0.1)8> os:getpid().
"91461"
Ctrl^D
kill -9 91461

Verify it's Down

$ ./dev/dev1/bin/rts ping
Node 'rts1@127.0.0.1' not responding to pings.

Get Stats on rts2

You're results my not exactly match mine as it depends on which vnode instances responded first. The coordinator only cares about getting R responses.

./dev/dev2/bin/rts attach
(rts2@127.0.0.1)1> rts:get("progski", "total_reqs").
{ok,97}
(rts2@127.0.0.1)2> rts:get("progski", "GET").       
{ok,[not_found,91]}
(rts2@127.0.0.1)3> rts:get("progski", "total_sent").
{ok,445972}
(rts2@127.0.0.1)4> rts:get("progski", "HEAD").      
{ok,[not_found,6]}
(rts2@127.0.0.1)5> rts:get("progski", "PUT"). 
{ok,not_found}

Let's Compare the Before and After Preflist

Notice that some gets on rts2 return a single value as before whereas others return a list of values. The reason for this is because the Preflist calculation is now including fallback vnodes. A fallback vnode is one that is not on it's appropriate physical node. As a consequence of killing rts1 it's vnode requests must be routed to one of the other nodes. Since the request-reply model between the coordinator and vnode is asynchronous our reply value will depend on which vnode instances reply first. If the instances with values reply first then you get a single value, otherwise you get a list of values.

(rts2@127.0.0.1)6> rts:get_dbg_preflist("progski", "total_reqs"). 
[{730750818665451459101842416358141509827966271488,
  'rts3@127.0.0.1'},
 {776422744832042175295707567380525354192214163456,
  'rts2@127.0.0.1'},
 {753586781748746817198774991869333432010090217472,
  'rts3@127.0.0.1'}]
(rts2@127.0.0.1)7> rts:get_dbg_preflist("progski", "GET").       
[{296867520082839655260123481645494988367611297792,
  'rts2@127.0.0.1'},
 {319703483166135013357056057156686910549735243776,
  'rts3@127.0.0.1'},
 {274031556999544297163190906134303066185487351808,
  'rts2@127.0.0.1'}]

In both cases either rts2 or rts3 stepped in for the missing rts1. Also, in each case, one of these vnodes is going to return not_found since it's a fallback. I added another debug function to determine which one.

(rts2@127.0.0.1)8> rts:get_dbg_preflist("progski", "total_reqs", 1).
[{730750818665451459101842416358141509827966271488,
  'rts3@127.0.0.1'},
 97]
(rts2@127.0.0.1)9> rts:get_dbg_preflist("progski", "total_reqs", 2). 
[{776422744832042175295707567380525354192214163456,
  'rts2@127.0.0.1'},
 97]
(rts2@127.0.0.1)10> rts:get_dbg_preflist("progski", "total_reqs", 3).
[{753586781748746817198774991869333432010090217472,
  'rts3@127.0.0.1'},
 not_found]
(rts2@127.0.0.1)11> rts:get_dbg_preflist("progski", "GET", 1).       
[{296867520082839655260123481645494988367611297792,
  'rts2@127.0.0.1'},
 91]
(rts2@127.0.0.1)12> rts:get_dbg_preflist("progski", "GET", 2).
[{319703483166135013357056057156686910549735243776,
  'rts3@127.0.0.1'},
 91]
(rts2@127.0.0.1)13> rts:get_dbg_preflist("progski", "GET", 3).
[{274031556999544297163190906134303066185487351808,
  'rts2@127.0.0.1'},
 not_found]

Notice the fallbacks are at the end of each list. Also notice that since we're on rts2 that total_reqs will almost always return a single value because it's fallback is on another node whereas GET has a local fallback and will be more likely to return multiple values.

Conflict Resolution & Read Repair

In the next post I'll go over how to implement conflict resolution and read repair in the coordinator.