Benchao Li created FLINK-15421:
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Summary: GroupAggsHandler throws java.time.LocalDateTime cannot be cast to java.sql.Timestamp
Key: FLINK-15421
URL:
https://issues.apache.org/jira/browse/FLINK-15421 Project: Flink
Issue Type: Bug
Affects Versions: 1.9.1, 1.10.0
Reporter: Benchao Li
`TimestmapType` has two types of physical representation: `Timestamp` and `LocalDateTime`. When we use following SQL, it will conflict each other:
{quote}SELECT
SUM(cnt) as s,
MAX(ts)
FROM
SELECT
`string`,
`int`,
COUNT(*) AS cnt,
MAX(rowtime) as ts
FROM T1
GROUP BY `string`, `int`, TUMBLE(rowtime, INTERVAL '10' SECOND)
GROUP BY `string`
{quote}
with 'table.exec.emit.early-fire.enabled' = true.
The exceptions is below:
{quote}Caused by: java.lang.ClassCastException: java.time.LocalDateTime cannot be cast to java.sql.Timestamp
at GroupAggsHandler$83.getValue(GroupAggsHandler$83.java:529)
at org.apache.flink.table.runtime.operators.aggregate.GroupAggFunction.processElement(GroupAggFunction.java:164)
at org.apache.flink.table.runtime.operators.aggregate.GroupAggFunction.processElement(GroupAggFunction.java:43)
at org.apache.flink.streaming.api.operators.KeyedProcessOperator.processElement(KeyedProcessOperator.java:85)
at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask.java:173)
at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.processElement(StreamTaskNetworkInput.java:151)
at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.emitNext(StreamTaskNetworkInput.java:128)
at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:69)
at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:311)
at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:187)
at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:488)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:470)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:702)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:527)
at java.lang.Thread.run(Thread.java:748)
{quote}
I also create a UT to quickly reproduce this bug in `WindowAggregateITCase`:
{quote} @Test
def testEarlyFireWithTumblingWindow(): Unit = {
val stream = failingDataSource(data)
.assignTimestampsAndWatermarks(
new TimestampAndWatermarkWithOffset
[(Long, Int, Double, Float, BigDecimal, String, String)](10L))
val table = stream.toTable(tEnv,
'rowtime.rowtime, 'int, 'double, 'float, 'bigdec, 'string, 'name)
tEnv.registerTable("T1", table)
tEnv.getConfig.getConfiguration.setBoolean("table.exec.emit.early-fire.enabled", true)
tEnv.getConfig.getConfiguration.setString("table.exec.emit.early-fire.delay", "1000 ms")
val sql =
"""
|SELECT
| SUM(cnt) as s,
| MAX(ts)
|FROM
| (SELECT
| `string`,
| `int`,
| COUNT(*) AS cnt,
| MAX(rowtime) as ts
| FROM T1
| GROUP BY `string`, `int`, TUMBLE(rowtime, INTERVAL '10' SECOND))
|GROUP BY `string`
|""".stripMargin
tEnv.sqlQuery(sql).toRetractStream[Row].print()
env.execute()
}{quote}
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