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[work@10.10.10.10]$ cat collector.conf # if you have any problem, please visit https://github.com/alibaba/MongoShake/wiki/FAQ # for the detail explanation, please visit xxxx # 如果有问题，请先查看FAQ文档以及wiki上的说明。 # 关于各个参数的详细说明，请参考：xxx # current configuration version, do not modify. # 当前配置文件的版本号，请不要修改该值。 conf.version = 2 # --------------------------- global configuration --------------------------- # collector name # id用于输出pid文件等信息。 id = mongoshake # high availability option. # enable master election if set true. only one mongoshake can become master # and do sync, the others will wait and at most one of them become master once # previous master die. The master information stores in the `mongoshake` db in the source # database by default. # This option is useless when there is only one mongoshake running. # 如果开启主备mongoshake拉取同一个源端，此参数需要开启。 master_quorum = false # http api interface. Users can use this api to monitor mongoshake. # `curl 127.0.0.1:9100`. # We also provide a restful tool named "mongoshake-stat" to # print ack, lsn, checkpoint and qps information based on this api. # usage: `./mongoshake-stat --port=9100` # 全量和增量的restful监控端口，可以用curl查看内部监控metric统计情况。详见wiki。 full_sync.http_port = 9101 incr_sync.http_port = 9100 # profiling on net/http/profile # profiling端口，用于查看内部go堆栈。 system_profile_port = 9200 # global log level: debug, info, warning, error. lower level message will be filter log.level = info # log directory. log and pid file will be stored into this file. # if not set, default is "./logs/" # log和pid文件的目录，如果不设置默认打到当前路径的logs目录。 log.dir = # log file name. # log文件名。 log.file = collector.log # log flush enable. If set false, logs may not be print when exit. If # set true, performance will be decreased extremely # 设置log刷新，false表示包含缓存，如果true那么每条log都会直接刷屏，但对性能有影响； # 反之，退出不一定能打印所有的log，调试时建议配置true。 log.flush = false # sync mode: all/full/incr. default is incr. # all means full synchronization + incremental synchronization. # full means full synchronization only. # incr means incremental synchronization only. # 同步模式，all表示全量+增量同步，full表示全量同步，incr表示增量同步。 #sync_mode = incr sync_mode = all # connect source mongodb, set username and password if enable authority. Please note: password shouldn't contain '@'. # split by comma(,) if use multiple instance in one replica-set. E.g., mongodb://username1:password1@primaryA,secondaryB,secondaryC # split by semicolon(;) if sharding enable. E.g., mongodb://username1:password1@primaryA,secondaryB,secondaryC;mongodb://username2:password2@primaryX,secondaryY,secondaryZ # 源MongoDB连接串信息，逗号分隔同一个副本集内的结点，分号分隔分片sharding实例，免密模式 # 可以忽略“username:password@”，注意，密码里面不能含有'@'符号。 # 举例： # 副本集：mongodb://username1:password1@primaryA,secondaryB,secondaryC # 分片集：mongodb://username1:password1@primaryA,secondaryB,secondaryC;mongodb://username2:password2@primaryX,secondaryY,secondaryZ mongo_urls = mongodb://igoodful:123456@10.10.10.11:27000,10.10.10.12:27000 # please fill the source config server url if source mongodb is sharding. mongo_cs_url = # please give one mongos address if using change stream to fetching data in incremental stage. # 如果源端采用change stream拉取，这里还需要配置一个mongos的地址 mongo_s_url = # tunnel pipeline type. now we support rpc,file,kafka,mock,direct # 通道模式。 tunnel = direct # tunnel target resource url # for rpc. this is remote receiver socket address # for tcp. this is remote receiver socket address # for file. this is the file path, for instance "data" # for kafka. this is the topic and brokers address which split by comma, for # instance: topic@brokers1,brokers2, default topic is "mongoshake" # for mock. this is uesless # for direct. this is target mongodb address which format is the same as `mongo_urls`. If # the target is sharding, this should be the mongos address. # direct模式用于直接写入MongoDB，其余模式用于一些分析，或者远距离传输场景， # 注意，如果是非direct模式，需要通过receiver进行解析，具体参考FAQ文档。 # 此处配置通道的地址，格式与mongo_urls对齐。 #tunnel.address = mongodb://user:password@host:port tunnel.address = mongodb://igoodful:123456@10.10.10.21:27000 # the message format in the tunnel, used when tunnel is kafka. # "raw": batched raw data format which has good performance but encoded so that users # should parse it by receiver. # "json": single oplog format by json. # "bson": single oplog format by bson. # 通道数据的类型，只用于kafka和file通道类型。 # raw是默认的类型，其采用聚合的模式进行写入和 # 读取，但是由于携带了一些控制信息，所以需要专门用receiver进行解析。 # json以json的格式写入kafka，便于用户直接读取。 # bson以bson二进制的格式写入kafka。 tunnel.message = raw # connect mode: # primary: fetch data from primary. # secondaryPreferred: fetch data from secondary if has, otherwise primary.(default) # standalone: fetch data from given 1 node, no matter primary, secondary or hidden. This is only # support when tunnel type is direct. # 连接模式，primary表示从主上拉取，secondaryPreferred表示优先从secondary拉取（默认建议值）， # standalone表示从任意单个结点拉取。 mongo_connect_mode = secondaryPreferred # filter db or collection namespace. at most one of these two parameters can be given. # if the filter.namespace.black is not empty, the given namespace will be # filtered while others namespace passed. # if the filter.namespace.white is not empty, the given namespace will be # passed while others filtered. # all the namespace will be passed if no condition given. # db and collection connected by the dot(.). # different namespaces are split by the semicolon(;). # filter: filterDbName1.filterCollectionName1;filterDbName2 # 黑白名单过滤，目前不支持正则，白名单表示通过的namespace，黑名单表示过滤的namespace， # 不能同时指定。分号分割不同namespace，每个namespace可以是db，也可以是db.collection。 #filter.namespace.black = filter.namespace.white = mktact.themis_template_field; mktact.themis_template_module; mktact.goods_allow_list # some databases like "admin", "local", "mongoshake", "config", "system.views" are # filtered, users can enable these database based on some special needs. # different database are split by the semicolon(;). # e.g., admin;mongoshake. # pay attention: collection isn't support like "admin.xxx" except "system.views" # 正常情况下，不建议配置该参数，但对于有些非常特殊的场景，用户可以启用admin，mongoshake等库的同步， # 以分号分割，例如：admin;mongoshake。 filter.pass.special.db = mktact # only transfer oplog commands for syncing. represent # by oplog.op are "i","d","u". # DDL will be transferred if disable like create index, drop databse, # transaction in mongodb 4.0. # 是否需要开启DDL同步，true表示开启，源是sharding暂时不支持开启。 # 如果目的端是sharding，暂时不支持applyOps命令，包括事务。 filter.ddl_enable = true # checkpoint info, used in resuming from break point. # checkpoint存储信息，用于支持断点续传。 # context.storage.url is used to mark the checkpoint store database. E.g., mongodb://127.0.0.1:20070 # if not set, checkpoint will be written into source mongodb when source mongodb is replica-set(db=mongoshake), # when source mongodb is sharding, the checkpoint will be written into config-server(db=admin) # checkpoint的具体写入的MongoDB地址，如果不配置，对于副本集将写入源库(db=mongoshake)，对于分片集 # 将写入config-server（db=admin） checkpoint.storage.url = # checkpoint db's name. # checkpoint存储的db的名字 checkpoint.storage.db = mongoshake # checkpoint collection's name. # checkpoint存储的表的名字，如果启动多个mongoshake拉取同一个源可以修改这个表名以防止冲突。 checkpoint.storage.collection = ckpt_default # real checkpoint: the fetching oplog position. # pay attention: this is UTC time which is 8 hours latter than CST time. this # variable will only be used when checkpoint is not exist. # 本次开始拉取的位置，如果checkpoint已经存在（位于上述存储位置）则该参数无效， # 如果需要强制该位置开始拉取，需要先删除原来的checkpoint，详见FAQ。 # 若checkpoint不存在，且该值为1970-01-01T00:00:00Z，则会拉取源端现有的所有oplog。 # 若checkpoint不存在，且该值不为1970-01-01T00:00:00Z，则会先检查源端oplog最老的时间是否 # 大于给定的时间，如果是则会直接报错退出。 checkpoint.start_position = 1970-01-01T00:00:00Z # transform from source db or collection namespace to dest db or collection namespace. # at most one of these two parameters can be given. # transform: fromDbName1.fromCollectionName1:toDbName1.toCollectionName1;fromDbName2:toDbName2 # 转换命名空间，比如a.b同步后变成c.d，谨慎建议开启，比较耗性能。 #transform.namespace = ucenter.award:award.award;ucenter.award_config:award.award_config;ucenter.award_order:award.award_order;ucenter.address_info:award.address_info #transform.namespace = ucenter:award #transform.namespace = ucenter.athena_user_task_v2:athena.athena_user_task_v3
# 数据库名称和集合名称的映射，可能需要变更目的的数据库名称和集合名称 transform.namespace = mktact.themis_template_field:bifrost.themis_template_field; mktact.themis_template_module:bifrost.themis_template_module; mktact.goods_allow_list:bifrost.goods_allow_list # --------------------------- full sync configuration --------------------------- # the number of collection concurrence # 并发最大拉取的表个数，例如，6表示同一时刻shake最多拉取6个表。 full_sync.reader.collection_parallel = 16 # the number of document writer thread in each collection. # 同一个表内并发写的线程数，例如，8表示对于同一个表，将会有8个写线程进行并发写入。 full_sync.reader.write_document_parallel = 32 # number of documents in a batch insert in a document concurrence # 目的端写入的batch大小，例如，128表示一个线程将会一次聚合128个文档然后再写入。 full_sync.reader.document_batch_size = 10240 full_sync.reader.read_document_count=0 # drop the same name of collection in dest mongodb in full synchronization # 同步时如果目的库存在，是否先删除目的库再进行同步。 full_sync.collection_exist_no_drop = true # create foreground indexes when data sync finish in full sync stage. # 全量期间数据同步完毕后，是否需要创建索引，none表示不创建，foreground表示创建前台索引， # background表示创建后台索引。 full_sync.create_index = background # convert insert to update when duplicate key found # 如果_id存在在目的库，是否将insert语句修改为update语句。 full_sync.executor.insert_on_dup_update = true # filter orphan document for source type is sharding. # 源端是sharding，是否需要过滤orphan文档 full_sync.executor.filter.orphan_document = false # enable majority write in full sync. # the performance will degrade if enable. # 全量阶段写入端是否启用majority write full_sync.executor.majority_enable = false # --------------------------- incrmental sync configuration --------------------------- # fetch method: # oplog: fetch oplog from source mongodb (default) # change_stream: use change to receive change event from source mongodb, support MongoDB >= 4.0 incr_sync.mongo_fetch_method = oplog # global id. used in active-active replication. # this parameter is not supported on current open-source version. # gid用于双活防止环形复制，目前只用于阿里云云上MongoDB，如果是阿里云云上实例互相同步 # 希望开启gid，请联系阿里云售后或者烛昭(vinllen)，sharding的有多个gid请以分号(;)分隔。 incr_sync.oplog.gids = # distribute data to different worker by hash key to run in parallel. # rker = 8 # [auto] decide by if there has unique index in collections. # use `collection` if has unique index otherwise use `id`. # [id] shard by ObjectId. handle oplogs in sequence by unique _id # [collection] shard by ns. handle oplogs in sequence by unique ns # hash的方式，id表示按文档hash，collection表示按表hash，auto表示自动选择hash类型。 # 如果没有索引建议选择id达到非常高的同步性能，反之请选择collection。 incr_sync.shard_key = auto # oplog transmit worker concurrent # if the source is sharding, worker number must equal to shard numbers. # 内部发送的worker数目，如果机器性能足够，可以提高worker个数。 incr_sync.worker = 128 # batched oplogs have block level checksum value using # crc32 algorithm. and compressor for compressing content # of oplog entry. # supported compressor are : gzip,zlib,deflate # Do not enable this option when tunnel type is "direct" # 是否启用发送，非direct模式发送可以选择压缩以减少网络带宽消耗。 incr_sync.worker.oplog_compressor = none # memory queue configuration, plz visit FAQ document to see more details. # do not modify these variables if the performance and resource usage can # meet your needs. # 内部队列的配置参数，如果目前性能足够不建议修改，详细信息参考FAQ。 incr_sync.worker.batch_queue_size = 64 incr_sync.adaptive.batching_max_size = 1024 incr_sync.fetcher.buffer_capacity = 256 # --- direct tunnel only begin --- # if tunnel type is direct, all the below variable should be set # 下列参数仅用于tunnel为direct的情况。 # oplog changes to Insert while Update found non-exist (_id or unique-index) # 如果_id不存在在目的库，是否将update语句修改为insert语句。 incr_sync.executor.upsert = false # oplog changes to Update while Insert found duplicated key (_id or unique-index) # 如果_id存在在目的库，是否将insert语句修改为update语句。 incr_sync.executor.insert_on_dup_update = false # db. write duplicated logs to mongoshake_conflict # sdk. write duplicated logs to sdk. # 如果写入存在冲突，记录冲突的文档。 incr_sync.conflict_write_to = none # enable majority write in incrmental sync. # the performance will degrade if enable. # 增量阶段写入端是否启用majority write incr_sync.executor.majority_enable = false # --- direct tunnel only end ---
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