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")
