1. each file can choose the replication factor 2. replication granularity is in volume level 3. if not enough spaces, we can automatically decrease some volume's the replication factor, especially for cold data 4. plan to support migrating data to cheaper storage 5. plan to manual volume placement, access-based volume placement, auction based volume placement When a new volume server is started, it reports 1. how many volumes it can hold 2. current list of existing volumes and each volume's replication type Each volume server remembers: 1. current volume ids 2. replica locations are read from the master The master assign volume ids based on 1. replication factor data center, rack 2. concurrent write support On master, stores the replication configuration { replication:{ {type:"00", min_volume_count:3, weight:10}, {type:"01", min_volume_count:2, weight:20}, {type:"10", min_volume_count:2, weight:20}, {type:"11", min_volume_count:3, weight:30}, {type:"20", min_volume_count:2, weight:20} }, port:9333, } Or manually via command line 1. add volume with specified replication factor 2. add volume with specified volume id If duplicated volume ids are reported from different volume servers, the master determines the replication factor of the volume, if less than the replication factor, the volume is in readonly mode if more than the replication factor, the volume will purge the smallest/oldest volume if equal, the volume will function as usual Use cases: on volume server 1. weed volume -mserver="xx.xx.xx.xx:9333" -publicUrl="good.com:8080" -dir="/tmp" -volumes=50 on weed master 1. weed master -port=9333 generate a default json configuration file if doesn't exist Bootstrap 1. at the very beginning, the system has no volumes at all. When data node starts: 1. each data node send to master its existing volumes and max volume blocks 2. master remembers the topology/data_center/rack/data_node/volumes for each replication level, stores volume id ~ data node writable volume ids If any "assign" request comes in 1. find a writable volume with the right replicationLevel 2. if not found, grow the volumes with the right replication level 3. return a writable volume to the user for data node: 0. detect existing volumes DONE 1. onStartUp, and periodically, send existing volumes and maxVolumeCount store.Join(), DONE 2. accept command to grow a volume( id + replication level) DONE /admin/assign_volume?volume=some_id&replicationType=01 3. accept setting volumeLocationList DONE /admin/set_volume_locations_list?volumeLocationsList=[{Vid:xxx,Locations:[loc1,loc2,loc3]}] 4. for each write, pass the write to the next location, (Step 2) POST method should accept an index, like ttl, get decremented every hop for master: 1. accept data node's report of existing volumes and maxVolumeCount ALREADY EXISTS /dir/join 2. periodically refresh for active data nodes, and adjust writable volumes 3. send command to grow a volume(id + replication level) DONE 5. accept lookup for volume locations ALREADY EXISTS /dir/lookup 6. read topology/datacenter/rack layout An algorithm to allocate volumes evenly, but may be inefficient if free volumes are plenty: input: replication=xyz algorithm: ret_dcs = [] foreach dc that has y+z+1 volumes{ ret_racks = [] foreach rack with z+1 volumes{ ret = select z+1 servers with 1 volume if ret.size()==z+1 { ret_racks.append(ret) } } randomly pick one rack from ret_racks ret += select y racks with 1 volume each if ret.size()==y+z+1{ ret_dcs.append(ret) } } randomly pick one dc from ret_dcs ret += select x data centers with 1 volume each A simple replica placement algorithm, but may fail when free volume slots are not plenty: ret := []volumes dc = randomly pick 1 data center with y+z+1 volumes rack = randomly pick 1 rack with z+1 volumes ret = ret.append(randomly pick z+1 volumes) ret = ret.append(randomly pick y racks with 1 volume) ret = ret.append(randomly pick x data centers with 1 volume) TODO: 1. replicate content to the other server if the replication type needs replicas