zhengcanbin created FLINK-9460:
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Summary: Redundant output in table & upsert semantics
Key: FLINK-9460
URL: https://issues.apache.org/jira/browse/FLINK-9460
Project: Flink
Issue Type: Bug
Components: Table API & SQL
Affects Versions: 1.5.0
Reporter: zhengcanbin
Fix For: 1.6.0
Attachments: image-2018-05-29-11-39-45-698.png,
image-2018-05-29-11-51-20-671.png
The output seems incorrect in my table & upsert example, here's the code:
{code:java}
object VerifyUpsert {
def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.createLocalEnvironment()
val tEnv = TableEnvironment.getTableEnvironment(env)
env.setParallelism(1)
val input = env.socketTextStream("localhost", 9099).map { x =>
val tokens = x.split(",")
DemoSource(tokens(0), tokens(1), tokens(2))
}
tEnv.registerDataStream("demoSource", input, 'record_time, 'user_id,
'page_id)
val fieldNames = Array("record_time", "pv", "uv")
val fieldTypes = Array(Types.STRING, Types.LONG,
Types.LONG).asInstanceOf[Array[TypeInformation[_]]]
tEnv.registerTableSink("demoSink", fieldNames, fieldTypes,
MyPrintSink(fieldNames, fieldTypes))
tEnv.sqlUpdate(
"""
|INSERT INTO demoSink
|SELECT
| SUBSTRING(record_time, 1, 16) as record_time,
| count(user_id) as pv,
| count(DISTINCT user_id) as uv
|FROM demoSource
|GROUP BY SUBSTRING(record_time, 1, 16)
""".stripMargin)
env.execute()
}
case class DemoSource(record_time: String, user_id: String, page_id: String)
}
case class MyPrintSink(var fNames: Array[String], var fTypes:
Array[TypeInformation[_]]) extends UpsertStreamTableSink[Row] {
override def setKeyFields(keys: Array[String]): Unit = Seq.empty
override def setIsAppendOnly(isAppendOnly: lang.Boolean): Unit = {}
override def getRecordType: TypeInformation[Row] = new RowTypeInfo(fTypes,
fNames)
override def emitDataStream(dataStream: DataStream[tuple.Tuple2[lang.Boolean,
Row]]): Unit = dataStream.addSink(new PrintSinkFunction())
override def getFieldNames: Array[String] = fNames
override def getFieldTypes: Array[TypeInformation[_]] = fTypes
override def configure(fieldNames: Array[String], fieldTypes:
Array[TypeInformation[_]]): TableSink[tuple.Tuple2[lang.Boolean, Row]] = {
val copy = MyPrintSink(fNames, fTypes)
copy.fNames = fieldNames
copy.fTypes = fieldTypes
copy
}
}{code}
when application starts, I type in netcat client one record a time, below
table shows outputs for every input record:
||input||output||
|2018-05-24 21:34:02,8,9|(true,2018-05-24 21:34,1,1)|
|2018-05-24 21:34:12,6,6|(true,2018-05-24 21:34,2,2)|
|2018-05-24 21:34:12,0,9|(true,2018-05-24 21:34,3,3)|
|2018-05-24 21:34:12,0,4|{color:#FF0000}(true,2018-05-24 21:34,2,2){color}
(true,2018-05-24 21:34,4,3)|
when the forth record is consumed, two output records would be printed in sink,
obviously the first one record with red color is redundant. I followed the
source code and found something wrong with
{code:java}
org.apache.flink.table.runtime.aggregate.GroupAggProcessFunction#processElement
{code}
!image-2018-05-29-11-51-20-671.png!
I think when (!generateRetraction) && !inputC.change is true, we should not
invoke out.collect here.
[~astephan] please look over this
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