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 <wander...@163.com> 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'
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> At 2020-07-13 15:01:28, "Jingsong Li" <jingsongl...@gmail.com> 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 <wander...@163.com> 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
