简单的 TableAPI SQL 查询不适用于 Flink 1.10 和 Blink
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【中文标题】简单的 TableAPI SQL 查询不适用于 Flink 1.10 和 Blink【英文标题】:Simple TableAPI SQL query doesn't work on Flink 1.10 and Blink 【发布时间】:2020-06-01 15:41:32 【问题描述】:我想使用 TableAPI 定义 Kafka 连接器并在此类描述的表上运行 SQL(由 Kafka 支持)。不幸的是,Rowtime
的定义似乎没有按预期工作。
这是一个可重现的例子:
object DefineSource extends App
import org.apache.flink.streaming.api.scala._
import org.apache.flink.table.api.scala._
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
val config = EnvironmentSettings.newInstance().inStreamingMode().useBlinkPlanner().build()
val tEnv = StreamTableEnvironment.create(env, config)
val rowtime = new Rowtime().watermarksPeriodicBounded(5000)
val schema = new Schema()
.field("k", "string")
.field("ts", "timestamp(3)").rowtime(rowtime)
tEnv.connect(new Kafka()
.topic("test")
.version("universal"))
.withSchema(schema)
.withFormat(new Csv())
.createTemporaryTable("InputTable")
val output = tEnv.sqlQuery(
"""SELECT k, COUNT(*)
| FROM InputTable
| GROUP BY k, TUMBLE(ts, INTERVAL '15' MINUTE)
|""".stripMargin
)
tEnv.toAppendStream[(String, Long)](output).print()
env.execute()
产生
org.apache.flink.table.api.TableException: Window aggregate can only be defined over a time attribute column, but TIMESTAMP(3) encountered.
at org.apache.flink.table.planner.plan.rules.logical.StreamLogicalWindowAggregateRule.getInAggregateGroupExpression(StreamLogicalWindowAggregateRule.scala:51)
at org.apache.flink.table.planner.plan.rules.logical.LogicalWindowAggregateRuleBase.onMatch(LogicalWindowAggregateRuleBase.scala:79)
at org.apache.calcite.plan.AbstractRelOptPlanner.fireRule(AbstractRelOptPlanner.java:319)
at org.apache.calcite.plan.hep.HepPlanner.applyRule(HepPlanner.java:560)
at org.apache.calcite.plan.hep.HepPlanner.applyRules(HepPlanner.java:419)
at org.apache.calcite.plan.hep.HepPlanner.executeInstruction(HepPlanner.java:256)
at org.apache.calcite.plan.hep.HepInstruction$RuleInstance.execute(HepInstruction.java:127)
at org.apache.calcite.plan.hep.HepPlanner.executeProgram(HepPlanner.java:215)
at org.apache.calcite.plan.hep.HepPlanner.findBestExp(HepPlanner.java:202)
at org.apache.flink.table.planner.plan.optimize.program.FlinkHepProgram.optimize(FlinkHepProgram.scala:69)
at org.apache.flink.table.planner.plan.optimize.program.FlinkHepRuleSetProgram.optimize(FlinkHepRuleSetProgram.scala:87)
at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.$anonfun$optimize$1(FlinkChainedProgram.scala:62)
at scala.collection.TraversableOnce.$anonfun$foldLeft$1(TraversableOnce.scala:160)
at scala.collection.TraversableOnce.$anonfun$foldLeft$1$adapted(TraversableOnce.scala:160)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:160)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:158)
at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:108)
at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:58)
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:94)
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.scala.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.scala:210)
at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.toAppendStream(StreamTableEnvironmentImpl.scala:107)
我在 Flink 1.10.0
.
【问题讨论】:
【参考方案1】:这是一个错误并已修复 1.10.0+ https://issues.apache.org/jira/browse/FLINK-16160
【讨论】:
【参考方案2】:不幸的是,这是 1.10 中的一个错误,正如@lijiayan 所说,应该在 1.11+ 中修复
作为 1.10 中的一种解决方法,您可以改用 DDL:
tEnv.sqlUpdate(
"CREATE TABLE InputTable (\n" +
" k STRING,\n" +
" ts TIMESTAMP(3),\n" +
" WATERMARK FOR ts AS ts - INTERVAL '5' SECOND\n" +
") WITH (\n" +
" 'connector.type' = 'kafka',\n" +
" 'connector.version' = 'universal',\n" +
" 'connector.topic' = 'test',\n" +
" 'connector.properties.zookeeper.connect' = 'localhost:2181',\n" +
" 'connector.properties.bootstrap.servers' = 'localhost:9092',\n" +
" 'format.type' = 'csv'\n" +
")"
);
【讨论】:
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