你写反了，是proctime AS PROCTIME()。 计算列跟普通query里面的AS是反着的。
Zhou Zach <[email protected]> 于2020年6月12日周五 下午2:24写道： > flink 1.10.0: > 在create table中，加PROCTIME() AS proctime字段报错 > > > > > > > > > > > > > > > > > > 在 2020-06-12 14:08:11，"Benchao Li" <[email protected]> 写道： > >Hi， > > > >Temporal Table join的时候需要是处理时间，你现在这个b.`time`是一个普通的时间戳，而不是事件时间。 > >可以参考下[1] > > > >[1] > > > https://ci.apache.org/projects/flink/flink-docs-master/dev/table/streaming/time_attributes.html > > > >Zhou Zach <[email protected]> 于2020年6月12日周五 下午1:33写道： > > > >> SLF4J: Class path contains multiple SLF4J bindings. > >> > >> SLF4J: Found binding in > >> > [jar:file:/Users/Zach/.m2/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.4.1/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] > >> > >> SLF4J: Found binding in > >> > [jar:file:/Users/Zach/.m2/repository/org/slf4j/slf4j-log4j12/1.7.7/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class] > >> > >> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an > >> explanation. > >> > >> SLF4J: Actual binding is of type > >> [org.apache.logging.slf4j.Log4jLoggerFactory] > >> > >> ERROR StatusLogger No log4j2 configuration file found. Using default > >> configuration: logging only errors to the console. > >> > >> Exception in thread "main" org.apache.flink.table.api.TableException: > >> Cannot generate a valid execution plan for the given query: > >> > >> > >> > >> > >> FlinkLogicalSink(name=[`default_catalog`.`default_database`.`user_cnt`], > >> fields=[time, sum_age]) > >> > >> +- FlinkLogicalCalc(select=[CAST(time) AS EXPR$0, age]) > >> > >> +- FlinkLogicalJoin(condition=[=($0, $2)], joinType=[inner]) > >> > >> :- FlinkLogicalCalc(select=[uid, time]) > >> > >> : +- FlinkLogicalTableSourceScan(table=[[default_catalog, > >> default_database, user_behavior, source: [KafkaTableSource(uid, > phoneType, > >> clickCount, time)]]], fields=[uid, phoneType, clickCount, time]) > >> > >> +- FlinkLogicalSnapshot(period=[$cor0.time]) > >> > >> +- FlinkLogicalCalc(select=[uid, age]) > >> > >> +- FlinkLogicalTableSourceScan(table=[[default_catalog, > >> default_database, users, source: [MysqlAsyncLookupTableSource(uid, sex, > >> age, created_time)]]], fields=[uid, sex, age, created_time]) > >> > >> > >> > >> > >> Temporal table join currently only supports 'FOR SYSTEM_TIME AS OF' left > >> table's proctime field, doesn't support 'PROCTIME()' > >> > >> Please check the documentation for the set of currently supported SQL > >> features. > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:78) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:62) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:58) > >> > >> at > >> > scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) > >> > >> at > >> > scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157) > >> > >> at scala.collection.Iterator$class.foreach(Iterator.scala:891) > >> > >> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > >> > >> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > >> > >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > >> > >> at > >> > scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) > >> > >> at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:57) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.optimizeTree(StreamCommonSubGraphBasedOptimizer.scala:170) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.doOptimize(StreamCommonSubGraphBasedOptimizer.scala:90) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77) > >> > >> at > >> > org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:248) > >> > >> at > >> > org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:151) > >> > >> at > >> > org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682) > >> > >> at > >> > org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495) > >> > >> at > >> > org.rabbit.sql.FromKafkaSinkMysqlForReal$.main(FromKafkaSinkMysqlForReal.scala:90) > >> > >> at > >> > org.rabbit.sql.FromKafkaSinkMysqlForReal.main(FromKafkaSinkMysqlForReal.scala) > >> > >> Caused by: org.apache.flink.table.api.TableException: Temporal table > join > >> currently only supports 'FOR SYSTEM_TIME AS OF' left table's proctime > >> field, doesn't support 'PROCTIME()' > >> > >> at > >> > org.apache.flink.table.planner.plan.rules.physical.common.CommonLookupJoinRule$class.matches(CommonLookupJoinRule.scala:67) > >> > >> at > >> > org.apache.flink.table.planner.plan.rules.physical.common.BaseSnapshotOnCalcTableScanRule.matches(CommonLookupJoinRule.scala:147) > >> > >> at > >> > org.apache.flink.table.planner.plan.rules.physical.common.BaseSnapshotOnCalcTableScanRule.matches(CommonLookupJoinRule.scala:161) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:263) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoRuleCall.match(VolcanoRuleCall.java:247) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.fireRules(VolcanoPlanner.java:1534) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1807) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:90) > >> > >> at > >> > org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:329) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:90) > >> > >> at > >> > org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:329) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868) > >> > >> at > >> > org.apache.calcite.plan.volcano.VolcanoPlanner.changeTraits(VolcanoPlanner.java:529) > >> > >> at > org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:324) > >> > >> at > >> > org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:64) > >> > >> ... 20 more > >> > >> > >> > >> > >> query: > >> > >> > >> val streamExecutionEnv = > StreamExecutionEnvironment.getExecutionEnvironment > >> val blinkEnvSettings = > >> > EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build() > >> val streamTableEnv = > >> StreamTableEnvironment.create(streamExecutionEnv,blinkEnvSettings) > >> > >> streamTableEnv.sqlUpdate( > >> """ > >> | > >> |CREATE TABLE user_behavior ( > >> | uid VARCHAR, > >> | phoneType VARCHAR, > >> | clickCount INT, > >> | `time` TIMESTAMP(3) > >> |) WITH ( > >> | 'connector.type' = 'kafka', > >> | 'connector.version' = 'universal', > >> | 'connector.topic' = 'user_behavior', > >> | 'connector.startup-mode' = 'earliest-offset', > >> | 'connector.properties.0.key' = 'zookeeper.connect', > >> | 'connector.properties.0.value' = > 'cdh1:2181,cdh2:2181,cdh3:2181', > >> | 'connector.properties.1.key' = 'bootstrap.servers', > >> | 'connector.properties.1.value' = > 'cdh1:9092,cdh2:9092,cdh3:9092', > >> | 'update-mode' = 'append', > >> | 'format.type' = 'json', > >> | 'format.derive-schema' = 'true' > >> |) > >> |""".stripMargin) > >> streamTableEnv.sqlUpdate( > >> """ > >> | > >> |CREATE TABLE user_cnt ( > >> | `time` VARCHAR, > >> | sum_age INT > >> |) WITH ( > >> | 'connector.type' = 'jdbc', > >> | 'connector.url' = 'jdbc:mysql://localhost:3306/dashboard', > >> | 'connector.table' = 'user_cnt', > >> | 'connector.username' = 'root', > >> | 'connector.password' = '123456', > >> | 'connector.write.flush.max-rows' = '1' > >> |) > >> |""".stripMargin) > >> val userTableSource = new MysqlAsyncLookupTableSource( > >> Array("uid", "sex", "age", "created_time"), > >> Array(), > >> Array(Types.STRING, Types.STRING, Types.INT, Types.STRING)) > >> streamTableEnv.registerTableSource("users", userTableSource) > >> streamTableEnv.sqlUpdate( > >> """ > >> | > >> |insert into user_cnt > >> |SELECT > >> | cast(b.`time` as string), u.age > >> |FROM > >> | user_behavior AS b > >> | JOIN users FOR SYSTEM_TIME AS OF b.`time` AS u > >> | ON b.uid = u.uid > >> | > >> |""".stripMargin) > >> streamTableEnv.execute("Temporal table join") >
