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
