好的，感谢答疑
在 2020-07-13 19:49:10，"Jingsong Li" <[email protected]> 写道： >创建kafka_table需要在default dialect下。 > >不管什么dialect，都会保存到hive metastore中 (除非使用temporary table的语法) > >Best, >Jingsong > >On Mon, Jul 13, 2020 at 7:46 PM Zhou Zach <[email protected]> wrote: > >> 创建kafka_table的时候，是default Dialect,改成HiveCatalog时，WATERMARK 和with语法都不支持了， >> 如果是default Dialect创建的表，是不是只是在临时会话有效 >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> 在 2020-07-13 19:27:44，"Jingsong Li" <[email protected]> 写道： >> >Hi, >> > >> >问题一： >> > >> >只要current catalog是HiveCatalog。 >> >理论上Kafka也是存到HiveMetastore里面的，如果不想报错，可以用CREATE TABLE XXX IF NOT EXISTS. >> > >> >明确下，看不见是什么意思？可以单独试试Kafka表，重启后就不见了吗？ >> > >> >问题二： >> > >> >用filesystem创建出来的是filesystem的表，它和hive >> >metastore是没有关系的，你需要使用创建filesystem表的语法[1]。 >> > >> >filesystem的表数据是直接写到 文件系统的，它的格式和hive是兼容的，所以写的路径是hive某张表的路径，就可以在hive端查询了。 >> >但是它的partition commit是不支持metastore的，所以不会有自动add >> >partition到hive的默认实现，你需要自定义partition-commit-policy. >> > >> >[1] >> > >> https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/filesystem.html >> > >> >Best, >> >Jingsong >> > >> >On Mon, Jul 13, 2020 at 6:51 PM Zhou Zach <[email protected]> wrote: >> > >> >> 尴尬。。。。 >> >> 我开了两个项目，改错项目了，现在 已经成功从hive查到数据了，感谢社区的热情回复，@Jingsong Li, @夏帅 >> >> 这两天刷了Jingsong在群里的那个视频几遍了，由衷感谢! >> >> 还有两个问题问下， >> >> 问题1: >> >> 创建的kafka_table，在hive和Flink >> >> >> SQL客户端都看不到，而且每次重新运行程序，如果不删除hive_table，就会报错，删除hive_table1，就可以执行，但是每次都不需要删除kafka_table，就可以执行程序，所以，是不是创建的kafka_table，是临时表，只有hive_table是存储在metastore >> >> >> >> >> >> >> >> >> >> >> >> >> >> 问题2: >> >> 刚才有热心社区同学回答，不用hivecatalog，用filesystem connector 也是可以创建hive表，我尝试了一下，报错了： >> >> java.util.concurrent.CompletionException: >> >> >> org.apache.flink.client.deployment.application.ApplicationExecutionException: >> >> Could not execute application. >> >> at >> >> >> java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:292) >> >> ~[?:1.8.0_161] >> >> at >> >> >> java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:308) >> >> ~[?:1.8.0_161] >> >> at >> >> >> java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:943) >> >> ~[?:1.8.0_161] >> >> at >> >> >> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926) >> >> ~[?:1.8.0_161] >> >> at >> >> >> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474) >> >> ~[?:1.8.0_161] >> >> at >> >> >> java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977) >> >> ~[?:1.8.0_161] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.runApplicationEntryPoint(ApplicationDispatcherBootstrap.java:245) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.lambda$runApplicationAsync$1(ApplicationDispatcherBootstrap.java:199) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) >> >> [?:1.8.0_161] >> >> at java.util.concurrent.FutureTask.run(FutureTask.java:266) >> >> [?:1.8.0_161] >> >> at >> >> >> org.apache.flink.runtime.concurrent.akka.ActorSystemScheduledExecutorAdapter$ScheduledFutureTask.run(ActorSystemScheduledExecutorAdapter.java:154) >> >> [qile-data-flow-1.0.jar:?] >> >> at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40) >> >> [qile-data-flow-1.0.jar:?] >> >> at >> >> >> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:44) >> >> [qile-data-flow-1.0.jar:?] >> >> at >> >> akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) >> >> [qile-data-flow-1.0.jar:?] >> >> at >> >> >> akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) >> >> [qile-data-flow-1.0.jar:?] >> >> at >> >> akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) >> >> [qile-data-flow-1.0.jar:?] >> >> at >> >> >> akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >> >> [qile-data-flow-1.0.jar:?] >> >> Caused by: >> >> >> org.apache.flink.client.deployment.application.ApplicationExecutionException: >> >> Could not execute application. >> >> ... 11 more >> >> Caused by: org.apache.flink.client.program.ProgramInvocationException: >> The >> >> main method caused an error: Unable to create a sink for writing table >> >> 'default_catalog.default_database.hive_table1'. >> >> >> >> Table options are: >> >> >> >> 'connector'='filesystem' >> >> 'hive.storage.file-format'='parquet' >> >> 'is_generic'='false' >> >> 'partition.time-extractor.timestamp-pattern'='$dt $hr:00:00' >> >> 'sink.partition-commit.delay'='0s' >> >> 'sink.partition-commit.policy.kind'='metastore,success-file' >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:302) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:198) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:149) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.runApplicationEntryPoint(ApplicationDispatcherBootstrap.java:230) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> ... 10 more >> >> Caused by: org.apache.flink.table.api.ValidationException: Unable to >> >> create a sink for writing table >> >> 'default_catalog.default_database.hive_table1'. >> >> >> >> Table options are: >> >> >> >> 'connector'='filesystem' >> >> 'hive.storage.file-format'='parquet' >> >> 'is_generic'='false' >> >> 'partition.time-extractor.timestamp-pattern'='$dt $hr:00:00' >> >> 'sink.partition-commit.delay'='0s' >> >> 'sink.partition-commit.policy.kind'='metastore,success-file' >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:164) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:344) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:204) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.Iterator$class.foreach(Iterator.scala:891) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractIterator.foreach(Iterator.scala:1334) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.IterableLike$class.foreach(IterableLike.scala:72) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractTraversable.map(Traversable.scala:104) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1248) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:694) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeOperation(TableEnvironmentImpl.java:781) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:684) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile$.main(FromKafkaSinkHiveByFile.scala:68) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile.main(FromKafkaSinkHiveByFile.scala) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> >> ~[?:1.8.0_161] >> >> at java.lang.reflect.Method.invoke(Method.java:498) >> ~[?:1.8.0_161] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:288) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:198) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:149) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.runApplicationEntryPoint(ApplicationDispatcherBootstrap.java:230) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> ... 10 more >> >> Caused by: org.apache.flink.table.api.ValidationException: Cannot >> discover >> >> a connector using option ''connector'='filesystem''. >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.getDynamicTableFactory(FactoryUtil.java:329) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:157) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:344) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:204) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.Iterator$class.foreach(Iterator.scala:891) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractIterator.foreach(Iterator.scala:1334) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.IterableLike$class.foreach(IterableLike.scala:72) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractTraversable.map(Traversable.scala:104) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1248) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:694) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeOperation(TableEnvironmentImpl.java:781) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:684) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile$.main(FromKafkaSinkHiveByFile.scala:68) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile.main(FromKafkaSinkHiveByFile.scala) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> >> ~[?:1.8.0_161] >> >> at java.lang.reflect.Method.invoke(Method.java:498) >> ~[?:1.8.0_161] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:288) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:198) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:149) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.runApplicationEntryPoint(ApplicationDispatcherBootstrap.java:230) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> ... 10 more >> >> Caused by: org.apache.flink.table.api.ValidationException: Could not >> find >> >> any factory for identifier 'filesystem' that implements >> >> 'org.apache.flink.table.factories.DynamicTableSinkFactory' in the >> classpath. >> >> >> >> Available factory identifiers are: >> >> >> >> blackhole >> >> hbase-1.4 >> >> jdbc >> >> kafka >> >> print >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.discoverFactory(FactoryUtil.java:240) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.getDynamicTableFactory(FactoryUtil.java:326) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:157) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:344) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:204) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.Iterator$class.foreach(Iterator.scala:891) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractIterator.foreach(Iterator.scala:1334) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.IterableLike$class.foreach(IterableLike.scala:72) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> scala.collection.TraversableLike$class.map(TraversableLike.scala:234) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> scala.collection.AbstractTraversable.map(Traversable.scala:104) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:163) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1248) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:694) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeOperation(TableEnvironmentImpl.java:781) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:684) >> >> ~[flink-table-blink_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile$.main(FromKafkaSinkHiveByFile.scala:68) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at >> >> >> cn.ibobei.qile.dataflow.sql.FromKafkaSinkHiveByFile.main(FromKafkaSinkHiveByFile.scala) >> >> ~[qile-data-flow-1.0.jar:?] >> >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >> >> ~[?:1.8.0_161] >> >> at >> >> >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> >> ~[?:1.8.0_161] >> >> at java.lang.reflect.Method.invoke(Method.java:498) >> ~[?:1.8.0_161] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:288) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:198) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:149) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> at >> >> >> org.apache.flink.client.deployment.application.ApplicationDispatcherBootstrap.runApplicationEntryPoint(ApplicationDispatcherBootstrap.java:230) >> >> ~[flink-clients_2.11-1.11.0.jar:1.11.0] >> >> ... 10 more >> >> >> >> >> >> >> >> >> >> >> >> >> >> query： >> >> >> >> >> >> >> >> >> >> val streamExecutionEnv = >> StreamExecutionEnvironment.getExecutionEnvironment >> >> >> >> >> streamExecutionEnv.setStreamTimeCharacteristic(TimeCharacteristic.EventTime) >> >> streamExecutionEnv.enableCheckpointing(5 * 1000, >> >> CheckpointingMode.EXACTLY_ONCE) >> >> streamExecutionEnv.getCheckpointConfig.setCheckpointTimeout(10 * >> 1000) >> >> >> >> val blinkEnvSettings = >> >> >> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build() >> >> val streamTableEnv = >> StreamTableEnvironment.create(streamExecutionEnv, >> >> blinkEnvSettings) >> >> >> >> >> >> >> >> streamTableEnv.getConfig.setSqlDialect(SqlDialect.HIVE) >> >> streamTableEnv.executeSql( >> >> """ >> >> | >> >> | >> >> |CREATE TABLE hive_table ( >> >> | user_id STRING, >> >> | age INT >> >> |) PARTITIONED BY (dt STRING, hr STRING) STORED AS parquet >> >> TBLPROPERTIES ( >> >> | 'connector'='filesystem', >> >> | 'partition.time-extractor.timestamp-pattern'='$dt $hr:00:00', >> >> | 'sink.partition-commit.delay'='0s', >> >> | 'sink.partition-commit.policy.kind'='metastore,success-file' >> >> |) >> >> | >> >> |""".stripMargin) >> >> >> >> streamTableEnv.getConfig.setSqlDialect(SqlDialect.DEFAULT) >> >> streamTableEnv.executeSql( >> >> """ >> >> | >> >> |CREATE TABLE kafka_table ( >> >> | uid VARCHAR, >> >> | -- uid BIGINT, >> >> | sex VARCHAR, >> >> | age INT, >> >> | created_time TIMESTAMP(3), >> >> | WATERMARK FOR created_time as created_time - INTERVAL '3' >> >> SECOND >> >> |) WITH ( >> >> | 'connector.type' = 'kafka', >> >> | 'connector.version' = 'universal', >> >> | 'connector.topic' = 'user', >> >> | -- 'connector.topic' = 'user_long', >> >> | 'connector.startup-mode' = 'latest-offset', >> >> | 'connector.properties.zookeeper.connect' = >> >> 'cdh1:2181,cdh2:2181,cdh3:2181', >> >> | 'connector.properties.bootstrap.servers' = >> >> 'cdh1:9092,cdh2:9092,cdh3:9092', >> >> | 'connector.properties.group.id' = 'user_flink', >> >> | 'format.type' = 'json', >> >> | 'format.derive-schema' = 'true' >> >> |) >> >> |""".stripMargin) >> >> >> >> >> >> streamTableEnv.getConfig.setSqlDialect(SqlDialect.HIVE) >> >> >> >> streamTableEnv.executeSql( >> >> """ >> >> | >> >> |INSERT INTO hive_table >> >> |SELECT uid, age, DATE_FORMAT(created_time, 'yyyy-MM-dd'), >> >> DATE_FORMAT(created_time, 'HH') >> >> |FROM kafka_table >> >> | >> >> |""".stripMargin) >> >> >> >> streamTableEnv.executeSql( >> >> """ >> >> | >> >> |SELECT * FROM hive_table WHERE dt='2020-07-13' and hr='18' >> >> | >> >> |""".stripMargin) >> >> .print() >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> 在 2020-07-13 17:52:54，"Jingsong Li" <[email protected]> 写道： >> >> >你把完整的程序再贴下呢 >> >> > >> >> >Best, >> >> >Jingsong >> >> > >> >> >On Mon, Jul 13, 2020 at 5:46 PM Zhou Zach <[email protected]> wrote: >> >> > >> >> >> Hi， >> >> >> >> >> >> >> >> >> 我现在改成了： >> >> >> 'sink.partition-commit.delay'='0s' >> >> >> >> >> >> >> >> >> checkpoint完成了20多次，hdfs文件也产生了20多个， >> >> >> hive表还是查不到数据 >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> 在 2020-07-13 17:23:34，"夏帅" <[email protected]> 写道： >> >> >> >> >> >> 你好, >> >> >> 你设置了1个小时的 >> >> >> SINK_PARTITION_COMMIT_DELAY >> >> >> >> >> >> >> >> >> ------------------------------------------------------------------ >> >> >> 发件人：Zhou Zach <[email protected]> >> >> >> 发送时间：2020年7月13日(星期一) 17:09 >> >> >> 收件人：user-zh <[email protected]> >> >> >> 主 题：Re:Re: Re: Table options do not contain an option key 'connector' >> >> for >> >> >> discovering a connector. >> >> >> >> >> >> >> >> >> 开了checkpoint， >> >> >> val streamExecutionEnv = >> >> StreamExecutionEnvironment.getExecutionEnvironment >> >> >> >> >> >> >> >> >> streamExecutionEnv.setStreamTimeCharacteristic(TimeCharacteristic.EventTime) >> >> >> streamExecutionEnv.enableCheckpointing(5 * 1000, >> >> >> CheckpointingMode.EXACTLY_ONCE) >> >> >> streamExecutionEnv.getCheckpointConfig.setCheckpointTimeout(10 * >> 1000) >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> 间隔5s，超时10s，不过，等了2分多钟，hdfs上写入了10几个文件了，查hive还是没数据 >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> 在 2020-07-13 16:52:16，"Jingsong Li" <[email protected]> 写道： >> >> >> >有开checkpoint吧？delay设的多少？ >> >> >> > >> >> >> >Add partition 在 checkpoint完成 + delay的时间后 >> >> >> > >> >> >> >Best, >> >> >> >Jingsong >> >> >> > >> >> >> >On Mon, Jul 13, 2020 at 4:50 PM Zhou Zach <[email protected]> >> wrote: >> >> >> > >> >> >> >> Hi, >> >> >> >> >> 根据你的提示，加上HiveCatalog，已经成功写入数据到hdfs了，不过，为什么，直接通过hue查hive表，没数据，必须手动add >> >> >> >> partition到hive表吗，我当前设置了参数 >> >> >> >> 'sink.partition-commit.policy.kind'='metastore' >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> At 2020-07-13 15:01:28, "Jingsong Li" <[email protected]> >> >> wrote: >> >> >> >> >Hi， >> >> >> >> > >> >> >> >> >你用了HiveCatalog了吗？Hive表或Hive方言必须要结合HiveCatalog >> >> >> >> > >> >> >> >> >不然就只能用Filesystem connector，如果你使用filesystem也报错，那就贴下报错信息 >> >> >> >> > >> >> >> >> >Best, >> >> >> >> >Jingsong >> >> >> >> > >> >> >> >> >On Mon, Jul 13, 2020 at 2:58 PM Zhou Zach <[email protected]> >> >> wrote: >> >> >> >> > >> >> >> >> >> flink 1.11 sink hive table的connector设置为什么啊，尝试设置 >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> WITH('connector'='filesystem','path'='...','format'='parquet','sink.partition-commit.delay'='1 >> >> >> >> >> h','sink.partition-commit.policy.kind'='success-file'); >> >> >> >> >> 也报错误 >> >> >> >> >> query: >> >> >> >> >> streamTableEnv.getConfig.setSqlDialect(SqlDialect.HIVE) >> >> >> >> >> streamTableEnv.executeSql( >> >> >> >> >> """ >> >> >> >> >> | >> >> >> >> >> | >> >> >> >> >> |CREATE TABLE hive_table ( >> >> >> >> >> | user_id STRING, >> >> >> >> >> | age INT >> >> >> >> >> |) PARTITIONED BY (dt STRING, hr STRING) STORED AS parquet >> >> >> >> >> TBLPROPERTIES ( >> >> >> >> >> | 'partition.time-extractor.timestamp-pattern'='$dt >> >> $hr:00:00', >> >> >> >> >> | 'sink.partition-commit.trigger'='partition-time', >> >> >> >> >> | 'sink.partition-commit.delay'='1 h', >> >> >> >> >> | >> >> 'sink.partition-commit.policy.kind'='metastore,success-file' >> >> >> >> >> |) >> >> >> >> >> | >> >> >> >> >> |""".stripMargin) >> >> >> >> >> >> >> >> >> >> streamTableEnv.getConfig.setSqlDialect(SqlDialect.DEFAULT) >> >> >> >> >> streamTableEnv.executeSql( >> >> >> >> >> """ >> >> >> >> >> | >> >> >> >> >> |CREATE TABLE kafka_table ( >> >> >> >> >> | uid VARCHAR, >> >> >> >> >> | -- uid BIGINT, >> >> >> >> >> | sex VARCHAR, >> >> >> >> >> | age INT, >> >> >> >> >> | created_time TIMESTAMP(3), >> >> >> >> >> | WATERMARK FOR created_time as created_time - INTERVAL >> '3' >> >> >> >> SECOND >> >> >> >> >> |) WITH ( >> >> >> >> >> | 'connector.type' = 'kafka', >> >> >> >> >> | 'connector.version' = 'universal', >> >> >> >> >> | 'connector.topic' = 'user', >> >> >> >> >> | -- 'connector.topic' = 'user_long', >> >> >> >> >> | 'connector.startup-mode' = 'latest-offset', >> >> >> >> >> | 'connector.properties.zookeeper.connect' = >> >> >> >> >> 'cdh1:2181,cdh2:2181,cdh3:2181', >> >> >> >> >> | 'connector.properties.bootstrap.servers' = >> >> >> >> >> 'cdh1:9092,cdh2:9092,cdh3:9092', >> >> >> >> >> | 'connector.properties.group.id' = 'user_flink', >> >> >> >> >> | 'format.type' = 'json', >> >> >> >> >> | 'format.derive-schema' = 'true' >> >> >> >> >> |) >> >> >> >> >> |""".stripMargin) >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> streamTableEnv.executeSql( >> >> >> >> >> """ >> >> >> >> >> | >> >> >> >> >> |INSERT INTO hive_table >> >> >> >> >> |SELECT uid, age, DATE_FORMAT(created_time, 'yyyy-MM-dd'), >> >> >> >> >> DATE_FORMAT(created_time, 'HH') >> >> >> >> >> |FROM kafka_table >> >> >> >> >> | >> >> >> >> >> |""".stripMargin) >> >> >> >> >> >> >> >> >> >> streamTableEnv.executeSql( >> >> >> >> >> """ >> >> >> >> >> | >> >> >> >> >> |SELECT * FROM hive_table WHERE dt='2020-07-13' and hr='13' >> >> >> >> >> | >> >> >> >> >> |""".stripMargin) >> >> >> >> >> .print() >> >> >> >> >> 错误栈： >> >> >> >> >> Exception in thread "main" >> >> >> >> org.apache.flink.table.api.ValidationException: >> >> >> >> >> Unable to create a sink for writing table >> >> >> >> >> 'default_catalog.default_database.hive_table'. >> >> >> >> >> >> >> >> >> >> Table options are: >> >> >> >> >> >> >> >> >> >> 'hive.storage.file-format'='parquet' >> >> >> >> >> 'is_generic'='false' >> >> >> >> >> 'partition.time-extractor.timestamp-pattern'='$dt $hr:00:00' >> >> >> >> >> 'sink.partition-commit.delay'='1 h' >> >> >> >> >> 'sink.partition-commit.policy.kind'='metastore,success-file' >> >> >> >> >> 'sink.partition-commit.trigger'='partition-time' >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:164) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.getTableSink(PlannerBase.scala:344) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:204) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:163) >> >> >> >> >> 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:163) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1248) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:694) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeOperation(TableEnvironmentImpl.java:781) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:684) >> >> >> >> >> at >> >> >> >> >> >> org.rabbit.sql.FromKafkaSinkHive$.main(FromKafkaSinkHive.scala:65) >> >> >> >> >> at >> >> >> >> org.rabbit.sql.FromKafkaSinkHive.main(FromKafkaSinkHive.scala) >> >> >> >> >> Caused by: org.apache.flink.table.api.ValidationException: >> Table >> >> >> options >> >> >> >> >> do not contain an option key 'connector' for discovering a >> >> connector. >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.factories.FactoryUtil.getDynamicTableFactory(FactoryUtil.java:321) >> >> >> >> >> at >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> org.apache.flink.table.factories.FactoryUtil.createTableSink(FactoryUtil.java:157) >> >> >> >> >> ... 19 more >> >> >> >> >> >> >> >> >> >> >> >> >> >> > >> >> >> >> >-- >> >> >> >> >Best, Jingsong Lee >> >> >> >> >> >> >> > >> >> >> > >> >> >> >-- >> >> >> >Best, Jingsong Lee >> >> >> >> >> > >> >> > >> >> >-- >> >> >Best, Jingsong Lee >> >> >> > >> > >> >-- >> >Best, Jingsong Lee >> > > >-- >Best, Jingsong Lee
