flink-1.12.0 upsert-kafka connector demo

参考官网：
https://ci.apache.org/projects/flink/flink-docs-release-1.12/zh/dev/table/connectors/kafka.html
https://ci.apache.org/projects/flink/flink-docs-release-1.12/zh/dev/table/connectors/upsert-kafka.html

 

Flink 1.12.0 已经发布了有一段时间了, 这段时间都比较忙，很少尝试新版本的功能，之前升级，只是修改了 flink 的版本号，把一些报错、不适用的代码从项目中移除，一直没有试用新的功能，今天刚好试用下 upsert-kafka connector，之前每个版本都自己实现，也是麻烦。

使用 sqlSubmit 提交之前的 kafka upsert sql

CREATE TABLE user_log (
  user_id VARCHAR
  ,item_id VARCHAR
  ,category_id VARCHAR
  ,behavior VARCHAR
  ,ts TIMESTAMP(3)
) WITH (
  'connector.type' = 'kafka'
  ,'connector.version' = 'universal'
  ,'connector.topic' = 'user_behavior'                            
  ,'connector.properties.zookeeper.connect' = 'localhost:2181'    
  ,'connector.properties.bootstrap.servers' = 'localhost:9092'    
  ,'connector.properties.group.id' = 'user_log'                   
  ,'connector.startup-mode' = 'group-offsets'                     
  ,'connector.sink-partitioner' = 'fixed'                         
  ,'format.type' = 'json'                 
)

CREATE TABLE user_log_sink (
  user_id VARCHAR
  ,max_tx BIGINT
  ,primary key (user_id) not enforced
) WITH (
  'connector.type' = 'upsert-kafka'
  ,'connector.version' = 'universal'
  ,'connector.topic' = 'user_behavior_sink'                            
  ,'connector.properties.zookeeper.connect' = 'localhost:2181'    
  ,'connector.properties.bootstrap.servers' = 'localhost:9092'    
  ,'connector.properties.group.id' = 'user_log'                   
  ,'connector.startup-mode' = 'group-offsets'                     
  ,'connector.sink-partitioner' = 'fixed'                         
  ,'format.type' = 'json'                 
)

执行 sql

~/sqlSubmit$ /opt/flink-1.12.0/bin/flink run -m yarn-cluster -ynm sqlDemo -c com.rookie.submit.main.SqlSubmit original-sqlSubmit-3.0.jar -sql ~/git/sqlSubmit/src/main/resources/sql/connector/kafka_upsert_demo.sql 


------------------------------------------------------------
 The program finished with the following exception:

org.apache.flink.client.program.ProgramInvocationException: The main method caused an error: findAndCreateTableSink failed.
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:330)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:198)
        at org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:114)
        at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:743)
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:242)
        at org.apache.flink.client.cli.CliFrontend.parseAndRun(CliFrontend.java:971)
        at org.apache.flink.client.cli.CliFrontend.lambda$main$10(CliFrontend.java:1047)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1729)
        at org.apache.flink.runtime.security.contexts.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
        at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1047)
Caused by: org.apache.flink.table.api.TableException: findAndCreateTableSink failed.
        at org.apache.flink.table.factories.TableFactoryUtil.findAndCreateTableSink(TableFactoryUtil.java:94)
        at org.apache.flink.table.factories.TableFactoryUtil.lambda$findAndCreateTableSink$0(TableFactoryUtil.java:121)
        at java.util.Optional.orElseGet(Optional.java:267)
        at org.apache.flink.table.factories.TableFactoryUtil.findAndCreateTableSink(TableFactoryUtil.java:121)
        at org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:353)
        at org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:220)
        at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:164)
        at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:164)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.Iterator$class.foreach(Iterator.scala:891)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
        at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
        at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.AbstractTraversable.map(Traversable.scala:104)
        at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:164)
        at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1267)
        at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:675)
        at org.apache.flink.table.api.internal.StatementSetImpl.execute(StatementSetImpl.java:97)
        at com.rookie.submit.main.SqlSubmit$.main(SqlSubmit.scala:89)
        at com.rookie.submit.main.SqlSubmit.main(SqlSubmit.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:316)
        ... 11 more
Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: Could not find a suitable table factory for 'org.apache.flink.table.factories.TableSinkFactory' in
the classpath.

Reason: Required context properties mismatch.

The matching candidates:
org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactory
Mismatched properties:
'connector.type' expects 'kafka', but is 'upsert-kafka'

The following properties are requested:
connector.properties.bootstrap.servers=localhost:9092
connector.properties.group.id=user_log
connector.properties.zookeeper.connect=localhost:2181
connector.sink-partitioner=fixed
connector.startup-mode=group-offsets
connector.topic=user_behavior_sink
connector.type=upsert-kafka
connector.version=universal
format.type=json
schema.0.data-type=VARCHAR(2147483647) NOT NULL
schema.0.name=user_id
schema.1.data-type=BIGINT
schema.1.name=max_tx
schema.primary-key.columns=user_id
schema.primary-key.name=PK_-147132882

The following factories have been considered:
org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactory
org.apache.flink.table.sinks.CsvBatchTableSinkFactory
org.apache.flink.table.sinks.CsvAppendTableSinkFactory
        at org.apache.flink.table.factories.TableFactoryService.filterByContext(TableFactoryService.java:322)
        at org.apache.flink.table.factories.TableFactoryService.filter(TableFactoryService.java:190)
        at org.apache.flink.table.factories.TableFactoryService.findSingleInternal(TableFactoryService.java:143)
        at org.apache.flink.table.factories.TableFactoryService.find(TableFactoryService.java:96)
        at org.apache.flink.table.factories.TableFactoryUtil.findAndCreateTableSink(TableFactoryUtil.java:91)
        ... 37 more

竟然用了 KafkaTableSourceSinkFactory ， 没有用 UpsertKafkaDynamicTableFactory

查看 flink lib 目录

/opt/flink-1.12.0/lib$ ls
flink-connector-kafka_2.11-1.12.0.jar  flink-dist_2.11-1.12.0.jar  flink-shaded-zookeeper-3.4.14.jar  flink-table-blink_2.11-1.12.0.jar  log4j-1.2-api-2.12.1.jar  log4j-core-2.12.1.jar
flink-csv-1.12.0.jar                   flink-json-1.12.0.jar       flink-table_2.11-1.12.0.jar        kafka-clients-2.4.1.jar            log4j-api-2.12.1.jar      log4j-slf4j-impl-2.12.1.jar

flink-connector-kafka_2.11-1.12.0.jar 在里面啊

查看 jar 包里的 spi 文件, 在 flink-connector-kafka_2.11 中看到 2 个 文件

org.apache.flink.table.factories.Factory

org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory

org.apache.flink.table.factories.TableFactory

org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactory

UpsertKafkaDynamicTableFactory 在文件中

本地 debug TableFactoryService 查看加载 factory 部分，发现只加载了 TableFactory, 没有加载 Factory ， UpsertKafkaDynamicTableFactory 是 Factory 的子类：

private static List<TableFactory> discoverFactories(Optional<ClassLoader> classLoader) {
        try {
            List<TableFactory> result = new LinkedList<>();
            ClassLoader cl = classLoader.orElse(Thread.currentThread().getContextClassLoader());
            ServiceLoader
                .load(TableFactory.class, cl)
                .iterator()
                .forEachRemaining(result::add);
            return result;
        } catch (ServiceConfigurationError e) {
            LOG.error("Could not load service provider for table factories.", e);
            throw new TableException("Could not load service provider for table factories.", e);
        }

    }

debug 发现，Factory 的工厂类的加载在执行 sql 的时候 创建 TableSink/TableSink(CatalogSourceTable.createDynamicTableSource/PlannerBase.getTableSink) 的时候调用 FactoryUtil.discoverFactories 动态加载的

FactoryUtil.discoverFactories

private static List<Factory> discoverFactories(ClassLoader classLoader) {
        try {
            final List<Factory> result = new LinkedList<>();
            ServiceLoader
                .load(Factory.class, classLoader)
                .iterator()
                .forEachRemaining(result::add);
            return result;
        } catch (ServiceConfigurationError e) {
            LOG.error("Could not load service provider for factories.", e);
            throw new TableException("Could not load service provider for factories.", e);
        }
    }

其中 sink 会在 PlannerBase.getTableSink 中判断是否是 Legacy 的sink, 老的就用 TableFactory 的工厂类， 新的就用 Factory 的工厂类

private def getTableSink(
      objectIdentifier: ObjectIdentifier,
      dynamicOptions: JMap[String, String])
    : Option[(CatalogTable, Any)] = {
    val lookupResult = JavaScalaConversionUtil.toScala(catalogManager.getTable(objectIdentifier))
    lookupResult
      .map(_.getTable) match {
      case Some(table: ConnectorCatalogTable[_, _]) =>
        JavaScalaConversionUtil.toScala(table.getTableSink) match {
          case Some(sink) => Some(table, sink)
          case None => None
        }

      case Some(table: CatalogTable) =>
        val catalog = catalogManager.getCatalog(objectIdentifier.getCatalogName)
        val tableToFind = if (dynamicOptions.nonEmpty) {
          table.copy(FlinkHints.mergeTableOptions(dynamicOptions, table.getProperties))
        } else {
          table
        }
        val isTemporary = lookupResult.get.isTemporary
        if (isLegacyConnectorOptions(objectIdentifier, table, isTemporary)) {
          val tableSink = TableFactoryUtil.findAndCreateTableSink(
            catalog.orElse(null),
            objectIdentifier,
            tableToFind,
            getTableConfig.getConfiguration,
            isStreamingMode,
            isTemporary)
          Option(table, tableSink)
        } else {
          val tableSink = FactoryUtil.createTableSink(
            catalog.orElse(null),
            objectIdentifier,
            tableToFind,
            getTableConfig.getConfiguration,
            Thread.currentThread().getContextClassLoader,
            isTemporary)
          Option(table, tableSink)
        }

      case _ => None
    }
  }

注： 新版的 sql table source/sink table properties 注意参考官网的写法，upsert-kafka 不能添加属性，如： scan.startup.mode format
例： 添加 'format' = 'json' 属性，报错如下 (注意： Unsupported options 和 Supported options)：

Exception in thread "main" org.apache.flink.table.api.ValidationException: Unable to create a sink for writing table 'default_catalog.default_database.user_log_sink'.

Table options are:

'connector'='upsert-kafka'
'format'='json'
'key.format'='json'
'key.json.ignore-parse-errors'='true'
'properties.bootstrap.servers'='localhost:9092'
'properties.group.id'='user_log'
'topic'='user_behavior_sink'
'value.fields-include'='ALL'
'value.format'='json'
'value.json.fail-on-missing-field'='false'
    at org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:166)
    at org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:362)
    at org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:220)
    at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:164)
    at org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:164)
    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
    at scala.collection.Iterator$class.foreach(Iterator.scala:891)
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
    at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
    at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
    at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
    at scala.collection.AbstractTraversable.map(Traversable.scala:104)
    at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:164)
    at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1267)
    at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:675)
    at org.apache.flink.table.api.internal.StatementSetImpl.execute(StatementSetImpl.java:97)
    at com.rookie.submit.main.SqlSubmit$.main(SqlSubmit.scala:89)
    at com.rookie.submit.main.SqlSubmit.main(SqlSubmit.scala)
Caused by: org.apache.flink.table.api.ValidationException: Unsupported options found for connector 'upsert-kafka'.

Unsupported options:

format

Supported options:

connector
key.fields-prefix
key.format
key.json.fail-on-missing-field
key.json.ignore-parse-errors
key.json.map-null-key.literal
key.json.map-null-key.mode
key.json.timestamp-format.standard
properties.bootstrap.servers
properties.group.id
property-version
sink.parallelism
topic
value.fields-include
value.format
value.json.fail-on-missing-field
value.json.ignore-parse-errors
value.json.map-null-key.literal
value.json.map-null-key.mode
value.json.timestamp-format.standard
    at org.apache.flink.table.factories.FactoryUtil.validateUnconsumedKeys(FactoryUtil.java:324)
    at org.apache.flink.table.factories.FactoryUtil$TableFactoryHelper.validate(FactoryUtil.java:554)
    at org.apache.flink.table.factories.FactoryUtil$TableFactoryHelper.validateExcept(FactoryUtil.java:573)
    at org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.createDynamicTableSink(UpsertKafkaDynamicTableFactory.java:148)
    at org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:163)
    ... 18 more

最后的 sql 如下：

-- kafka source
CREATE TABLE user_log (
  user_id VARCHAR
  ,item_id VARCHAR
  ,category_id VARCHAR
  ,behavior VARCHAR
  ,ts TIMESTAMP(3)
) WITH (
  'connector' = 'kafka'
  ,'topic' = 'user_behavior'
  ,'properties.bootstrap.servers' = 'localhost:9092'
  ,'properties.group.id' = 'user_log'
  ,'scan.startup.mode' = 'group-offsets'
  ,'format' = 'json'
);

-- kafka sink
CREATE TABLE user_log_sink (
  user_id varchar
  ,max_tx bigint
  ,primary key (user_id) not enforced
) WITH (
  'connector' = 'upsert-kafka'
  ,'topic' = 'user_behavior_sink'
  ,'properties.bootstrap.servers' = 'localhost:9092'
  ,'properties.group.id' = 'user_log'
  ,'key.format' = 'json'
  ,'key.json.ignore-parse-errors' = 'true'
  ,'value.format' = 'json'
  ,'value.json.fail-on-missing-field' = 'false'
  ,'value.fields-include' = 'ALL'
--   ,'format' = 'json'
);

注： timestamp(3) 改成： 2017-11-26 01:00:00 （以前是： 2017-11-26T01:00:01Z）

sqlSubmit 地址和完整 sql 见： https://github.com/springMoon/sqlSubmit

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