博文原址:
简介
debezium是一个为了捕获数据变更(cdc)的开源的分布式平台。启动并指向数据库,当其他应用对此数据库执行inserts
、updates
、delete
操作时,此应用快速得到响应。debezium是持久化和快速响应的,因此你的应用可以快速响应且不会丢失任意一条事件。debezium记录是数据库表的行级别的变更事件。同时debezium是构建在kafka之上的,同时与kafka深度耦合,所以提供kafka connector来使用,debezium sink。支持的数据库有mysql、MongoDB、PostgreSQL、Oracle、SQL server。本篇以mysql作为数据源来实现功能,监听msyql的binlog,还需要修改。当前版本是0.9.5.Final,0.10版本正在开发中。
配置
本篇文章主要使用Embedding
形式监听事件,并同步更新到数据库。
下篇主要使用kafka connector来同步更新到数据库。
mysql需要如下开启binlog。但是如果使用的是debezium/mysql镜像,自动已经配置好了。
log-bin=mysql-bin #添加这一行就okbinlog-format=ROW #选择row模式server_id=1 #配置mysql replaction需要定义,不能和canal的slaveId重复复制代码
Tutorial
先来一个效果,主要是配置kafka connector来获取debezium事件记录。需要3个服务,zookeeper、kakfa和debezium connector。这里使用docker来启动的,所以需要先按照docker。
启动zookeeper
docker run -it --rm --name zookeeper -p 2181:2181 -p 2888:2888 -p 3888:3888 debezium/zookeeper:0.9复制代码
启动kafka
docker run -it --rm --name kafka -p 9092:9092 --link zookeeper:zookeeper debezium/kafka:0.9复制代码
启动mysql
docker run -it --rm --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=debezium -e MYSQL_USER=mysqluser -e MYSQL_PASSWORD=mysqlpw debezium/example-mysql:0.9复制代码
启动kafka connect
docker run -it --rm --name connect -p 8083:8083 -e GROUP_ID=1 -e CONFIG_STORAGE_TOPIC=my_connect_configs -e OFFSET_STORAGE_TOPIC=my_connect_offsets -e STATUS_STORAGE_TOPIC=my_connect_statuses --link zookeeper:zookeeper --link kafka:kafka --link mysql:mysql debezium/connect:0.9复制代码
通过connect的http请求创建debezium connector
curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" localhost:8083/connectors/ -d '{ "name": "inventory-connector", "config": { "connector.class": "io.debezium.connector.mysql.MySqlConnector", "tasks.max": "1", "database.hostname": "mysql", "database.port": "3306", "database.user": "debezium", "database.password": "dbz", "database.server.id": "184054", "database.server.name": "dbserver1", "database.whitelist": "inventory", "database.history.kafka.bootstrap.servers": "kafka:9092", "database.history.kafka.topic": "dbhistory.inventory" } }'复制代码
mysql客户端操作
通过invertory
数据库了的任一表的数据
创建监听可以查看debezium事件记录
docker run -it --name watcher --rm --link zookeeper:zookeeper --link kafka:kafka debezium/kafka:0.9 watch-topic -a -k dbserver1.inventory.customers复制代码
内嵌式
这里主要使用内嵌式的方式获取cdc事件而不需要使用kafka,直接消费debezium事件流。场景是在某一个mysql数据库里的table发生变更,把变更同步到另一mysql数据库。本次使用的是监听inventory
数据库并将数据同步到inventory_back
。
###debezium配置
connector.class=io.debezium.connector.mysql.MySqlConnectoroffset.storage=org.apache.kafka.connect.storage.FileOffsetBackingStoreoffset.storage.file.filename=offset.datoffset.flush.interval.ms=60000name=debezium-kafka-sourcedatabase.hostname=localhostdatabase.port=3306database.user=debeziumdatabase.password=dbz#database.dbname=inventorydatabase.whitelist=inventory#database.whitelist=inventory,inventory_backserver.id=184054database.server.name=dbserver1#transforms=unwrap#transforms.unwrap.type=io.debezium.transforms.UnwrapFromEnvelope#transforms.unwrap.drop.tombstones=falsedatabase.history=io.debezium.relational.history.FileDatabaseHistorydatabase.history.file.filename=dbhistory.dat复制代码
属性和convert配置
@Slf4j@Configurationpublic class DebeziumEmbeddedAutoConfiguration { @Bean public Properties embeddedProperties() { Properties propConfig = new Properties(); try(InputStream propsInputStream = getClass().getClassLoader().getResourceAsStream("config.properties")) { propConfig.load(propsInputStream); } catch (IOException e) { log.error("Couldn't load properties", e); } PropertyLoader.loadEnvironmentValues(propConfig); return propConfig; } @Bean public io.debezium.config.Configuration embeddedConfig(Properties embeddedProperties) { return io.debezium.config.Configuration.from(embeddedProperties); } @Bean public JsonConverter keyConverter(io.debezium.config.Configuration embeddedConfig) { JsonConverter converter = new JsonConverter(); converter.configure(embeddedConfig.asMap(), true); return converter; } @Bean public JsonConverter valueConverter(io.debezium.config.Configuration embeddedConfig) { JsonConverter converter = new JsonConverter(); converter.configure(embeddedConfig.asMap(), false); return converter; }}复制代码
同步DDL和DML
这里主要是利用CommandLineRunner特性,启动debezium的EmbeddedEngine引擎,获取到cdc事件后由handleRecord
处理DDL和DML,需要去解析cdc的事件SourceRecord
的key和value。
@Slf4j@Order(2)@Componentpublic class DebeziumEmbeddedRunner implements CommandLineRunner { @Autowired private io.debezium.config.Configuration embeddedConfig; @Autowired private JdbcTemplate jdbcTemplate; @Autowired private NamedParameterJdbcTemplate namedTemplate; @Autowired private JsonConverter keyConverter; @Autowired private JsonConverter valueConverter; @Override public void run(String... args) throws Exception { EmbeddedEngine engine = EmbeddedEngine.create() .using(embeddedConfig) .using(this.getClass().getClassLoader()) .using(Clock.SYSTEM) .notifying(this::handleRecord) .build(); ExecutorService executor = Executors.newSingleThreadExecutor(); executor.execute(engine); shutdownHook(engine); awaitTermination(executor); } /** * For every record this method will be invoked. */ private void handleRecord(SourceRecord record) { logRecord(record); Struct payload = (Struct) record.value(); if (Objects.isNull(payload)) { return; } String table = Optional.ofNullable(DebeziumRecordUtils.getRecordStructValue(payload, "source")) .map(s->s.getString("table")).orElse(null);// // 处理数据DML Envelope.Operation operation = DebeziumRecordUtils.getOperation(payload); if (Objects.nonNull(operation)) { Struct key = (Struct) record.key(); handleDML(key, payload, table, operation); return; }//// // 处理结构DDL String ddl = getDDL(payload); if (StringUtils.isNotBlank(ddl)) { handleDDL(ddl); } } private String getDDL(Struct payload) { String ddl = DebeziumRecordUtils.getDDL(payload); if (StringUtils.isBlank(ddl)) { return null; } String db = DebeziumRecordUtils.getDatabaseName(payload); if (StringUtils.isBlank(db)) { db = embeddedConfig.getString(MySqlConnectorConfig.DATABASE_WHITELIST); } ddl = ddl.replace(db + ".", ""); ddl = ddl.replace("`" + db + "`.", ""); return ddl; } /** * 执行数据库ddl语句 * * @param ddl */ private void handleDDL(String ddl) { log.info("ddl语句 : {}", ddl); try { jdbcTemplate.execute(ddl); } catch (Exception e) { log.error("数据库操作DDL语句失败,", e); } } /** * 处理insert,update,delete等DML语句 * * @param key 表主键修改事件结构 * @param payload 表正文响应 * @param table 表名 * @param operation DML操作类型 */ private void handleDML(Struct key, Struct payload, String table, Envelope.Operation operation) { AbstractDebeziumSqlProvider provider = DebeziumSqlProviderFactory.getProvider(operation); if (Objects.isNull(provider)) { log.error("没有找到sql处理器提供者."); return; } String sql = provider.getSql(key, payload, table); if (StringUtils.isBlank(sql)) { log.error("找不到sql."); return; } try { log.info("dml语句 : {}", sql); namedTemplate.update(sql, provider.getSqlParameterMap()); } catch (Exception e) { log.error("数据库DML操作失败,", e); } } /** * 打印消息 * * @param record */ private void logRecord(SourceRecord record) { final byte[] payload = valueConverter.fromConnectData("dummy", record.valueSchema(), record.value()); final byte[] key = keyConverter.fromConnectData("dummy", record.keySchema(), record.key()); log.info("Publishing Topic --> {}", record.topic()); log.info("Key --> {}", new String(key)); log.info("Payload --> {}", new String(payload)); } private void shutdownHook(EmbeddedEngine engine) { Runtime.getRuntime().addShutdownHook(new Thread(() -> { log.info("Requesting embedded engine to shut down"); engine.stop(); })); } private void awaitTermination(ExecutorService executor) { try { while (!executor.awaitTermination(10L, TimeUnit.SECONDS)) { log.info("Waiting another 10 seconds for the embedded engine to shut down"); } } catch (InterruptedException e) { Thread.interrupted(); } }}复制代码
provider和table字段解析器太多,这里就不在一一列出来了,如下图所示,支持mysql大部分字段类型。如果有需要的可以关注微信公众号或者邮件以及评论回复。
测试表结构
CREATE TABLE `demo` ( `id` int(10) NOT NULL AUTO_INCREMENT, `bigint_id` bigint(20) NOT NULL, `var_name` varchar(255) NOT NULL, `ex_tinyint` tinyint(4) DEFAULT NULL, `ex_char` char(255) DEFAULT NULL, `ex_json` json DEFAULT NULL COMMENT '水电费', `ex_text` text, `ex_year` year(4) DEFAULT NULL, `ex_time` time DEFAULT NULL, `ex_date` date DEFAULT NULL, `ex_datetime` datetime DEFAULT NULL, `ex_timestamp` timestamp NULL DEFAULT NULL, `ex_blob` blob, `ex_tinyblob` tinyblob, `ex_binary` binary(255) DEFAULT NULL, `ex_double` double(10,4) DEFAULT NULL, `ex_float` float(10,2) DEFAULT NULL, `ex_decimal` decimal(10,2) DEFAULT NULL, `ex_numeric` decimal(10,4) DEFAULT NULL, `ex_real` double(10,4) DEFAULT NULL, `ex_bit` bit(1) DEFAULT NULL, `ex_enum` enum('123','@@','22','水电费') DEFAULT '123', `ex_set` set('a','b','c','d') DEFAULT NULL, `ex_geometry` geometry DEFAULT NULL, `ex_point` point DEFAULT NULL, `ex_linestring` linestring DEFAULT NULL, `ex_polygon` polygon DEFAULT NULL, `ex_geometrycollection` geometrycollection DEFAULT NULL, `ex_multipoint` multipoint DEFAULT NULL, PRIMARY KEY (`id`,`bigint_id`,`var_name`) USING BTREE) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;复制代码
结果
####DDL事件
可以看出将数据库表的bigint_id
字段长度改为21,监听到事件后:执行了ddl语句,inventory_back
库中的demo
表的bigint_id
字段长度改为21了。
Publishing Topic --> dbserver12019-06-24 16:22:21.230 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : Key --> {"schema":{"type":"struct","fields":[{"type":"string","optional":false,"field":"databaseName"}],"optional":false,"name":"io.debezium.connector.mysql.SchemaChangeKey"},"payload":{"databaseName":"inventory"}}2019-06-24 16:22:21.230 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : Payload --> {"schema":{"type":"struct","fields":[{"type":"struct","fields":[{"type":"string","optional":true,"field":"version"},{"type":"string","optional":true,"field":"connector"},{"type":"string","optional":false,"field":"name"},{"type":"int64","optional":false,"field":"server_id"},{"type":"int64","optional":false,"field":"ts_sec"},{"type":"string","optional":true,"field":"gtid"},{"type":"string","optional":false,"field":"file"},{"type":"int64","optional":false,"field":"pos"},{"type":"int32","optional":false,"field":"row"},{"type":"boolean","optional":true,"default":false,"field":"snapshot"},{"type":"int64","optional":true,"field":"thread"},{"type":"string","optional":true,"field":"db"},{"type":"string","optional":true,"field":"table"},{"type":"string","optional":true,"field":"query"}],"optional":false,"name":"io.debezium.connector.mysql.Source","field":"source"},{"type":"string","optional":false,"field":"databaseName"},{"type":"string","optional":false,"field":"ddl"}],"optional":false,"name":"io.debezium.connector.mysql.SchemaChangeValue"},"payload":{"source":{"version":"0.9.3.Final","connector":"mysql","name":"dbserver1","server_id":223344,"ts_sec":1561364540,"gtid":null,"file":"mysql-bin.000006","pos":22530,"row":0,"snapshot":false,"thread":null,"db":null,"table":null,"query":null},"databaseName":"inventory","ddl":"ALTER TABLE `inventory`.`demo` \nMODIFY COLUMN `bigint_id` bigint(21) NOT NULL AFTER `id`"}}2019-06-24 16:22:21.230 ERROR 14995 --- [pool-1-thread-1] c.example.embedded.DebeziumRecordUtils : not find op field.2019-06-24 16:22:21.231 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : ddl语句 : ALTER TABLE `demo` MODIFY COLUMN `bigint_id` bigint(21) NOT NULL AFTER `id`复制代码
####DML的insert事件
在inventory
库中的demo
新增一条记录后有如下日志记录,能查看到topic,key,payload以及dml的insert语句。结果会把数据同步到inventory_back
库中的demo
。
2019-06-24 16:27:14.735 INFO 14995 --- [pool-1-thread-1] i.debezium.connector.mysql.BinlogReader : 1 records sent during previous 00:04:53.506, last recorded offset: {ts_sec=1561364834, file=mysql-bin.000006, pos=23002, row=1, server_id=223344, event=2}2019-06-24 16:27:14.737 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : Publishing Topic --> dbserver1.inventory.demo2019-06-24 16:27:14.737 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : Key --> { "schema":{ "type":"struct","fields":[{ "type":"int32","optional":false,"field":"id"},{ "type":"int64","optional":false,"field":"bigint_id"},{ "type":"string","optional":false,"field":"var_name"}],"optional":false,"name":"dbserver1.inventory.demo.Key"},"payload":{ "id":2,"bigint_id":1,"var_name":"老王"}}2019-06-24 16:27:14.738 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : Payload --> { "schema":{ "type":"struct","fields":[{ "type":"struct","fields":[{ "type":"int32","optional":false,"field":"id"},{ "type":"int64","optional":false,"field":"bigint_id"},{ "type":"string","optional":false,"field":"var_name"},{ "type":"int16","optional":true,"field":"ex_tinyint"},{ "type":"string","optional":true,"field":"ex_char"},{ "type":"string","optional":true,"name":"io.debezium.data.Json","version":1,"field":"ex_json"},{ "type":"string","optional":true,"field":"ex_text"},{ "type":"int32","optional":true,"name":"io.debezium.time.Year","version":1,"field":"ex_year"},{ "type":"int64","optional":true,"name":"io.debezium.time.MicroTime","version":1,"field":"ex_time"},{ "type":"int32","optional":true,"name":"io.debezium.time.Date","version":1,"field":"ex_date"},{ "type":"int64","optional":true,"name":"io.debezium.time.Timestamp","version":1,"field":"ex_datetime"},{ "type":"string","optional":true,"name":"io.debezium.time.ZonedTimestamp","version":1,"field":"ex_timestamp"},{ "type":"bytes","optional":true,"field":"ex_blob"},{ "type":"bytes","optional":true,"field":"ex_tinyblob"},{ "type":"bytes","optional":true,"field":"ex_binary"},{ "type":"double","optional":true,"field":"ex_double"},{ "type":"double","optional":true,"field":"ex_float"},{ "type":"bytes","optional":true,"name":"org.apache.kafka.connect.data.Decimal","version":1,"parameters":{ "scale":"2","connect.decimal.precision":"10"},"field":"ex_decimal"},{ "type":"bytes","optional":true,"name":"org.apache.kafka.connect.data.Decimal","version":1,"parameters":{ "scale":"4","connect.decimal.precision":"10"},"field":"ex_numeric"},{ "type":"double","optional":true,"field":"ex_real"},{ "type":"boolean","optional":true,"field":"ex_bit"},{ "type":"string","optional":true,"name":"io.debezium.data.Enum","version":1,"parameters":{ "allowed":"123,22"},"default":"123","field":"ex_enum"},{ "type":"string","optional":true,"name":"io.debezium.data.EnumSet","version":1,"parameters":{ "allowed":"a,b,c,d"},"field":"ex_set"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_geometry"},{ "type":"struct","fields":[{ "type":"double","optional":false,"field":"x"},{ "type":"double","optional":false,"field":"y"},{ "type":"bytes","optional":true,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Point","version":1,"doc":"Geometry (POINT)","field":"ex_point"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_linestring"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_polygon"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_geometrycollection"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_multipoint"}],"optional":true,"name":"dbserver1.inventory.demo.Value","field":"before"},{ "type":"struct","fields":[{ "type":"int32","optional":false,"field":"id"},{ "type":"int64","optional":false,"field":"bigint_id"},{ "type":"string","optional":false,"field":"var_name"},{ "type":"int16","optional":true,"field":"ex_tinyint"},{ "type":"string","optional":true,"field":"ex_char"},{ "type":"string","optional":true,"name":"io.debezium.data.Json","version":1,"field":"ex_json"},{ "type":"string","optional":true,"field":"ex_text"},{ "type":"int32","optional":true,"name":"io.debezium.time.Year","version":1,"field":"ex_year"},{ "type":"int64","optional":true,"name":"io.debezium.time.MicroTime","version":1,"field":"ex_time"},{ "type":"int32","optional":true,"name":"io.debezium.time.Date","version":1,"field":"ex_date"},{ "type":"int64","optional":true,"name":"io.debezium.time.Timestamp","version":1,"field":"ex_datetime"},{ "type":"string","optional":true,"name":"io.debezium.time.ZonedTimestamp","version":1,"field":"ex_timestamp"},{ "type":"bytes","optional":true,"field":"ex_blob"},{ "type":"bytes","optional":true,"field":"ex_tinyblob"},{ "type":"bytes","optional":true,"field":"ex_binary"},{ "type":"double","optional":true,"field":"ex_double"},{ "type":"double","optional":true,"field":"ex_float"},{ "type":"bytes","optional":true,"name":"org.apache.kafka.connect.data.Decimal","version":1,"parameters":{ "scale":"2","connect.decimal.precision":"10"},"field":"ex_decimal"},{ "type":"bytes","optional":true,"name":"org.apache.kafka.connect.data.Decimal","version":1,"parameters":{ "scale":"4","connect.decimal.precision":"10"},"field":"ex_numeric"},{ "type":"double","optional":true,"field":"ex_real"},{ "type":"boolean","optional":true,"field":"ex_bit"},{ "type":"string","optional":true,"name":"io.debezium.data.Enum","version":1,"parameters":{ "allowed":"123,22"},"default":"123","field":"ex_enum"},{ "type":"string","optional":true,"name":"io.debezium.data.EnumSet","version":1,"parameters":{ "allowed":"a,b,c,d"},"field":"ex_set"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_geometry"},{ "type":"struct","fields":[{ "type":"double","optional":false,"field":"x"},{ "type":"double","optional":false,"field":"y"},{ "type":"bytes","optional":true,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Point","version":1,"doc":"Geometry (POINT)","field":"ex_point"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_linestring"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_polygon"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_geometrycollection"},{ "type":"struct","fields":[{ "type":"bytes","optional":false,"field":"wkb"},{ "type":"int32","optional":true,"field":"srid"}],"optional":true,"name":"io.debezium.data.geometry.Geometry","version":1,"doc":"Geometry","field":"ex_multipoint"}],"optional":true,"name":"dbserver1.inventory.demo.Value","field":"after"},{ "type":"struct","fields":[{ "type":"string","optional":true,"field":"version"},{ "type":"string","optional":true,"field":"connector"},{ "type":"string","optional":false,"field":"name"},{ "type":"int64","optional":false,"field":"server_id"},{ "type":"int64","optional":false,"field":"ts_sec"},{ "type":"string","optional":true,"field":"gtid"},{ "type":"string","optional":false,"field":"file"},{ "type":"int64","optional":false,"field":"pos"},{ "type":"int32","optional":false,"field":"row"},{ "type":"boolean","optional":true,"default":false,"field":"snapshot"},{ "type":"int64","optional":true,"field":"thread"},{ "type":"string","optional":true,"field":"db"},{ "type":"string","optional":true,"field":"table"},{ "type":"string","optional":true,"field":"query"}],"optional":false,"name":"io.debezium.connector.mysql.Source","field":"source"},{ "type":"string","optional":false,"field":"op"},{ "type":"int64","optional":true,"field":"ts_ms"}],"optional":false,"name":"dbserver1.inventory.demo.Envelope"},"payload":{ "before":null,"after":{ "id":2,"bigint_id":1,"var_name":"老王","ex_tinyint":1,"ex_char":"a","ex_json":"{\"abc\":123}","ex_text":"ert","ex_year":2019,"ex_time":59224000000,"ex_date":null,"ex_datetime":null,"ex_timestamp":null,"ex_blob":null,"ex_tinyblob":null,"ex_binary":null,"ex_double":null,"ex_float":null,"ex_decimal":null,"ex_numeric":null,"ex_real":null,"ex_bit":null,"ex_enum":"123","ex_set":null,"ex_geometry":null,"ex_point":null,"ex_linestring":null,"ex_polygon":null,"ex_geometrycollection":null,"ex_multipoint":null},"source":{ "version":"0.9.3.Final","connector":"mysql","name":"dbserver1","server_id":223344,"ts_sec":1561364834,"gtid":null,"file":"mysql-bin.000006","pos":23194,"row":0,"snapshot":false,"thread":9,"db":"inventory","table":"demo","query":null},"op":"c","ts_ms":1561364834477}}2019-06-24 16:27:14.738 INFO 14995 --- [pool-1-thread-1] c.e.embedded.DebeziumEmbeddedRunner : dml语句 : insert into demo values (:id,:bigint_id,:var_name,:ex_tinyint,:ex_char,:ex_json,:ex_text,:ex_year,:ex_time,:ex_date,:ex_datetime,:ex_timestamp,:ex_blob,:ex_tinyblob,:ex_binary,:ex_double,:ex_float,:ex_decimal,:ex_numeric,:ex_real,:ex_bit,:ex_enum,:ex_set,:ex_geometry,:ex_point,:ex_linestring,:ex_polygon,:ex_geometrycollection,:ex_multipoint) 复制代码
DML的update事件
在inventory
库中的demo
修改刚刚新增的记录后有如下日志记录,能查看到topic,key,payload以及先delete再insert语句。结果会把数据同步到inventory_back
库中的demo
。
DML的delete事件
在inventory
库中的demo
修改刚刚修改的记录给删除掉后有如下日志记录,能查看到topic,key,payload以及先delete语句。结果会把数据同步到inventory_back
库中的demo
将其删掉。这里有2个事件,第二条事件是一种标致,这里不处理。
日志:
参考
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