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
