转自：
https://www.cnblogs.com/Springmoon-venn/p/10570056.html
先上代码：
table = tablexx.select('*).tablexx.groupBy('x).select('x, xx.count )
tableEnvironment
// declare the external system to connect to
.connect(
new Kafka()
.version("0.10")
.topic("test-input")
.startFromEarliest()
.property("zookeeper.connect", "localhost:2181")
.property("bootstrap.servers", "localhost:9092")
)
// declare a format for this system
.withFormat(
new Json().deriveSchema()
)
// declare the schema of the table
.withSchema(
new Schema()
.field("rowtime", Types.SQL_TIMESTAMP)
.rowtime(new Rowtime()
.timestampsFromField("timestamp")
.watermarksPeriodicBounded(60000)
)
.field("user", Types.LONG)
.field("message", Types.STRING)
)
// specify the update-mode for streaming tables
.inUpsertMode()
// register as source, sink, or both and under a name
.registerTableSource("outputTable");
table.insertInto("outputTable")
直接上报错信息：
The program finished with the following exception: org.apache.flink.client.program.ProgramInvocationException: The main method caused an error. at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:546) at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:421) at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:427) at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:813) at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:287) at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:213) at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1050) at org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1126) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836) at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41) at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1126) Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: Could not find a suitable table factory for 'org.apache.flink.table.factories.StreamTableSourceFactory' in the classpath. Reason: No context matches. The following factories have been considered: org.apache.flink.table.sources.CsvBatchTableSourceFactory org.apache.flink.table.sources.CsvAppendTableSourceFactory org.apache.flink.table.sinks.CsvBatchTableSinkFactory org.apache.flink.table.sinks.CsvAppendTableSinkFactory at org.apache.flink.table.factories.TableFactoryService$.filterByContext(TableFactoryService.scala:214) at org.apache.flink.table.factories.TableFactoryService$.findInternal(TableFactoryService.scala:130) at org.apache.flink.table.factories.TableFactoryService$.find(TableFactoryService.scala:81) at org.apache.flink.table.factories.TableFactoryUtil$.findAndCreateTableSource(TableFactoryUtil.scala:49) at org.apache.flink.table.descriptors.ConnectTableDescriptor.registerTableSource(ConnectTableDescriptor.scala:46) 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:529) ... 12 more
报错信息是找不到合适的table factory，查询报错类TableFactoryService.scala 源码214行（报错信息中报错位置）
/** * Filters for factories with matching context. * * @return all matching factories */ private def filterByContext[T]( factoryClass: Class[T], properties: Map[String, String], foundFactories: Seq[TableFactory], classFactories: Seq[TableFactory]) : Seq[TableFactory] = { val matchingFactories = classFactories.filter { factory => val requestedContext = normalizeContext(factory) val plainContext = mutable.Map[String, String]() plainContext ++= requestedContext // we remove the version for now until we have the first backwards compatibility case // with the version we can provide mappings in case the format changes plainContext.remove(CONNECTOR_PROPERTY_VERSION) plainContext.remove(FORMAT_PROPERTY_VERSION) plainContext.remove(METADATA_PROPERTY_VERSION) plainContext.remove(STATISTICS_PROPERTY_VERSION) // check if required context is met plainContext.forall(e => properties.contains(e._1) && properties(e._1) == e._2) } if (matchingFactories.isEmpty) { throw new NoMatchingTableFactoryException( "No context matches.", factoryClass, foundFactories, properties) } matchingFactories }
主要是对比 requestedContext 中的必需属性，在 properties 中是否有
requestedContext 必需属性如下：
connector.type kafka
update-mode append
connector.version,0.10
connector.property-version,1
这些属性properties中都有，只是“update-mode”，我这里是 "upsert", 将方法 “inUpsertMode()” 改为 “.inAppendMode()”，执行，这个错就解决了。
(找问题的时候，看到个大哥的，properties 里面没有 connector.type，不过好像用的是1.7的dev版本)
结论是，遇到这个问题，debug进去，看下到底那个属性对应不上，然后针对解决。
--------------------------
你以为这样就解决了吗，不可能的
新的报错如下： "AppendStreamTableSink requires than Table has only insert changes"，意思是 AppendStreamTableSink 需要表只有插入（不能update），
去掉表上面的groupBy()，就不会报错了。。。
table = tablexx.select('*).tablexx.groupBy('x).select('x, xx.count )
改为：
table = tablexx.select('*)
是不会报错，但是，我要group 啊。。。
没办法，只有先转成stream，再输出了
使用 toRetractStream()， 转成stream，结果发现，一直想用的flink的撤回功能就在这里了。
group 字段的 count 值变化的时候，会产生两条数据，一条是旧数据，带着false标示，一条是新数据，带着true标示