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+Mantle
+======
+
+.. warning::
+
+ Mantle is for research and development of metadata balancer algorithms,
+ not for use on production CephFS clusters.
+
+Multiple, active MDSs can migrate directories to balance metadata load. The
+policies for when, where, and how much to migrate are hard-coded into the
+metadata balancing module. Mantle is a programmable metadata balancer built
+into the MDS. The idea is to protect the mechanisms for balancing load
+(migration, replication, fragmentation) but stub out the balancing policies
+using Lua. Mantle is based on [1] but the current implementation does *NOT*
+have the following features from that paper:
+
+1. Balancing API: in the paper, the user fills in when, where, how much, and
+ load calculation policies; currently, Mantle only requires that Lua policies
+ return a table of target loads (e.g., how much load to send to each MDS)
+2. "How much" hook: in the paper, there was a hook that let the user control
+ the fragment selector policy; currently, Mantle does not have this hook
+3. Instantaneous CPU utilization as a metric
+
+[1] Supercomputing '15 Paper:
+http://sc15.supercomputing.org/schedule/event_detail-evid=pap168.html
+
+Quickstart with vstart
+----------------------
+
+.. warning::
+
+ Developing balancers with vstart is difficult because running all daemons
+ and clients on one node can overload the system. Let it run for a while, even
+ though you will likely see a bunch of lost heartbeat and laggy MDS warnings.
+ Most of the time this guide will work but sometimes all MDSs lock up and you
+ cannot actually see them spill. It is much better to run this on a cluster.
+
+As a prerequisite, we assume you have installed `mdtest
+<https://sourceforge.net/projects/mdtest/>`_ or pulled the `Docker image
+<https://hub.docker.com/r/michaelsevilla/mdtest/>`_. We use mdtest because we
+need to generate enough load to get over the MIN_OFFLOAD threshold that is
+arbitrarily set in the balancer. For example, this does not create enough
+metadata load:
+
+::
+
+ while true; do
+ touch "/cephfs/blah-`date`"
+ done
+
+
+Mantle with `vstart.sh`
+~~~~~~~~~~~~~~~~~~~~~~~
+
+1. Start Ceph and tune the logging so we can see migrations happen:
+
+::
+
+ cd build
+ ../src/vstart.sh -n -l
+ for i in a b c; do
+ bin/ceph --admin-daemon out/mds.$i.asok config set debug_ms 0
+ bin/ceph --admin-daemon out/mds.$i.asok config set debug_mds 2
+ bin/ceph --admin-daemon out/mds.$i.asok config set mds_beacon_grace 1500
+ done
+
+
+2. Put the balancer into RADOS:
+
+::
+
+ bin/rados put --pool=cephfs_metadata_a greedyspill.lua ../src/mds/balancers/greedyspill.lua
+
+
+3. Activate Mantle:
+
+::
+
+ bin/ceph fs set cephfs max_mds 5
+ bin/ceph fs set cephfs_a balancer greedyspill.lua
+
+
+4. Mount CephFS in another window:
+
+::
+
+ bin/ceph-fuse /cephfs -o allow_other &
+ tail -f out/mds.a.log
+
+
+ Note that if you look at the last MDS (which could be a, b, or c -- it's
+ random), you will see an an attempt to index a nil value. This is because the
+ last MDS tries to check the load of its neighbor, which does not exist.
+
+5. Run a simple benchmark. In our case, we use the Docker mdtest image to
+ create load:
+
+::
+
+ for i in 0 1 2; do
+ docker run -d \
+ --name=client$i \
+ -v /cephfs:/cephfs \
+ michaelsevilla/mdtest \
+ -F -C -n 100000 -d "/cephfs/client-test$i"
+ done
+
+
+6. When you are done, you can kill all the clients with:
+
+::
+
+ for i in 0 1 2 3; do docker rm -f client$i; done
+
+
+Output
+~~~~~~
+
+Looking at the log for the first MDS (could be a, b, or c), we see that
+everyone has no load:
+
+::
+
+ 2016-08-21 06:44:01.763930 7fd03aaf7700 0 lua.balancer MDS0: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=1.0 queue_len=0.0 cpu_load_avg=1.35 > load=0.0
+ 2016-08-21 06:44:01.763966 7fd03aaf7700 0 lua.balancer MDS1: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=0.0 queue_len=0.0 cpu_load_avg=1.35 > load=0.0
+ 2016-08-21 06:44:01.763982 7fd03aaf7700 0 lua.balancer MDS2: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=0.0 queue_len=0.0 cpu_load_avg=1.35 > load=0.0
+ 2016-08-21 06:44:01.764010 7fd03aaf7700 2 lua.balancer when: not migrating! my_load=0.0 hisload=0.0
+ 2016-08-21 06:44:01.764033 7fd03aaf7700 2 mds.0.bal mantle decided that new targets={}
+
+
+After the jobs starts, MDS0 gets about 1953 units of load. The greedy spill
+balancer dictates that half the load goes to your neighbor MDS, so we see that
+Mantle tries to send 1953 load units to MDS1.
+
+::
+
+ 2016-08-21 06:45:21.869994 7fd03aaf7700 0 lua.balancer MDS0: < auth.meta_load=5834.188908912 all.meta_load=1953.3492228857 req_rate=12591.0 queue_len=1075.0 cpu_load_avg=3.05 > load=1953.3492228857
+ 2016-08-21 06:45:21.870017 7fd03aaf7700 0 lua.balancer MDS1: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=0.0 queue_len=0.0 cpu_load_avg=3.05 > load=0.0
+ 2016-08-21 06:45:21.870027 7fd03aaf7700 0 lua.balancer MDS2: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=0.0 queue_len=0.0 cpu_load_avg=3.05 > load=0.0
+ 2016-08-21 06:45:21.870034 7fd03aaf7700 2 lua.balancer when: migrating! my_load=1953.3492228857 hisload=0.0
+ 2016-08-21 06:45:21.870050 7fd03aaf7700 2 mds.0.bal mantle decided that new targets={0=0,1=976.675,2=0}
+ 2016-08-21 06:45:21.870094 7fd03aaf7700 0 mds.0.bal - exporting [0,0.52287 1.04574] 1030.88 to mds.1 [dir 100000006ab /client-test2/ [2,head] auth pv=33 v=32 cv=32/0 ap=2+3+4 state=1610612802|complete f(v0 m2016-08-21 06:44:20.366935 1=0+1) n(v2 rc2016-08-21 06:44:30.946816 3790=3788+2) hs=1+0,ss=0+0 dirty=1 | child=1 dirty=1 authpin=1 0x55d2762fd690]
+ 2016-08-21 06:45:21.870151 7fd03aaf7700 0 mds.0.migrator nicely exporting to mds.1 [dir 100000006ab /client-test2/ [2,head] auth pv=33 v=32 cv=32/0 ap=2+3+4 state=1610612802|complete f(v0 m2016-08-21 06:44:20.366935 1=0+1) n(v2 rc2016-08-21 06:44:30.946816 3790=3788+2) hs=1+0,ss=0+0 dirty=1 | child=1 dirty=1 authpin=1 0x55d2762fd690]
+
+
+Eventually load moves around:
+
+::
+
+ 2016-08-21 06:47:10.210253 7fd03aaf7700 0 lua.balancer MDS0: < auth.meta_load=415.77414300449 all.meta_load=415.79000078186 req_rate=82813.0 queue_len=0.0 cpu_load_avg=11.97 > load=415.79000078186
+ 2016-08-21 06:47:10.210277 7fd03aaf7700 0 lua.balancer MDS1: < auth.meta_load=228.72023977691 all.meta_load=186.5606496623 req_rate=28580.0 queue_len=0.0 cpu_load_avg=11.97 > load=186.5606496623
+ 2016-08-21 06:47:10.210290 7fd03aaf7700 0 lua.balancer MDS2: < auth.meta_load=0.0 all.meta_load=0.0 req_rate=1.0 queue_len=0.0 cpu_load_avg=11.97 > load=0.0
+ 2016-08-21 06:47:10.210298 7fd03aaf7700 2 lua.balancer when: not migrating! my_load=415.79000078186 hisload=186.5606496623
+ 2016-08-21 06:47:10.210311 7fd03aaf7700 2 mds.0.bal mantle decided that new targets={}
+
+
+Implementation Details
+----------------------
+
+Most of the implementation is in MDBalancer. Metrics are passed to the balancer
+policies via the Lua stack and a list of loads is returned back to MDBalancer.
+It sits alongside the current balancer implementation and it's enabled with a
+Ceph CLI command ("ceph fs set cephfs balancer mybalancer.lua"). If the Lua policy
+fails (for whatever reason), we fall back to the original metadata load
+balancer. The balancer is stored in the RADOS metadata pool and a string in the
+MDSMap tells the MDSs which balancer to use.
+
+Exposing Metrics to Lua
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Metrics are exposed directly to the Lua code as global variables instead of
+using a well-defined function signature. There is a global "mds" table, where
+each index is an MDS number (e.g., 0) and each value is a dictionary of metrics
+and values. The Lua code can grab metrics using something like this:
+
+::
+
+ mds[0]["queue_len"]
+
+
+This is in contrast to cls-lua in the OSDs, which has well-defined arguments
+(e.g., input/output bufferlists). Exposing the metrics directly makes it easier
+to add new metrics without having to change the API on the Lua side; we want
+the API to grow and shrink as we explore which metrics matter. The downside of
+this approach is that the person programming Lua balancer policies has to look
+at the Ceph source code to see which metrics are exposed. We figure that the
+Mantle developer will be in touch with MDS internals anyways.
+
+The metrics exposed to the Lua policy are the same ones that are already stored
+in mds_load_t: auth.meta_load(), all.meta_load(), req_rate, queue_length,
+cpu_load_avg.
+
+Compile/Execute the Balancer
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Here we use `lua_pcall` instead of `lua_call` because we want to handle errors
+in the MDBalancer. We do not want the error propagating up the call chain. The
+cls_lua class wants to handle the error itself because it must fail gracefully.
+For Mantle, we don't care if a Lua error crashes our balancer -- in that case,
+we will fall back to the original balancer.
+
+The performance improvement of using `lua_call` over `lua_pcall` would not be
+leveraged here because the balancer is invoked every 10 seconds by default.
+
+Returning Policy Decision to C++
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+We force the Lua policy engine to return a table of values, corresponding to
+the amount of load to send to each MDS. These loads are inserted directly into
+the MDBalancer "my_targets" vector. We do not allow the MDS to return a table
+of MDSs and metrics because we want the decision to be completely made on the
+Lua side.
+
+Iterating through tables returned by Lua is done through the stack. In Lua
+jargon: a dummy value is pushed onto the stack and the next iterator replaces
+the top of the stack with a (k, v) pair. After reading each value, pop that
+value but keep the key for the next call to `lua_next`.
+
+Reading from RADOS
+~~~~~~~~~~~~~~~~~~
+
+All MDSs will read balancing code from RADOS when the balancer version changes
+in the MDS Map. The balancer pulls the Lua code from RADOS synchronously. We do
+this with a timeout: if the asynchronous read does not come back within half
+the balancing tick interval the operation is cancelled and a Connection Timeout
+error is returned. By default, the balancing tick interval is 10 seconds, so
+Mantle will use a 5 second second timeout. This design allows Mantle to
+immediately return an error if anything RADOS-related goes wrong.
+
+We use this implementation because we do not want to do a blocking OSD read
+from inside the global MDS lock. Doing so would bring down the MDS cluster if
+any of the OSDs are not responsive -- this is tested in the ceph-qa-suite by
+setting all OSDs to down/out and making sure the MDS cluster stays active.
+
+One approach would be to asynchronously fire the read when handling the MDS Map
+and fill in the Lua code in the background. We cannot do this because the MDS
+does not support daemon-local fallbacks and the balancer assumes that all MDSs
+come to the same decision at the same time (e.g., importers, exporters, etc.).
+
+Debugging
+~~~~~~~~~
+
+Logging in a Lua policy will appear in the MDS log. The syntax is the same as
+the cls logging interface:
+
+::
+
+ BAL_LOG(0, "this is a log message")
+
+
+It is implemented by passing a function that wraps the `dout` logging framework
+(`dout_wrapper`) to Lua with the `lua_register()` primitive. The Lua code is
+actually calling the `dout` function in C++.
+
+Warning and Info messages are centralized using the clog/Beacon. Successful
+messages are only sent on version changes by the first MDS to avoid spamming
+the `ceph -w` utility. These messages are used for the integration tests.
+
+Testing
+~~~~~~~
+
+Testing is done with the ceph-qa-suite (tasks.cephfs.test_mantle). We do not
+test invalid balancer logging and loading the actual Lua VM.