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Posted to issues@flink.apache.org by "Jark Wu (Jira)" <ji...@apache.org> on 2022/04/24 11:51:00 UTC
[jira] [Updated] (FLINK-27368) CAST(' 1 ' as BIGINT) reutrns wrong result
[ https://issues.apache.org/jira/browse/FLINK-27368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jark Wu updated FLINK-27368:
----------------------------
Description:
{code:sql}
Flink SQL> select
> cast(' 1 ' as tinyint),
> cast(' 1 ' as smallint),
> cast(' 1 ' as int),
> cast(' 1 ' as bigint),
> cast(' 1 ' as float),
> cast(' 1 ' as double);
+----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
| op | EXPR$0 | EXPR$1 | EXPR$2 | EXPR$3 | EXPR$4 | EXPR$5 |
+----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
[ERROR] Could not execute SQL statement. Reason:
java.lang.NumberFormatException: For input string: ' 1 '. Invalid character found.
at org.apache.flink.table.data.binary.BinaryStringDataUtil.numberFormatExceptionFor(BinaryStringDataUtil.java:585)
at org.apache.flink.table.data.binary.BinaryStringDataUtil.toInt(BinaryStringDataUtil.java:518)
at org.apache.flink.table.data.binary.BinaryStringDataUtil.toByte(BinaryStringDataUtil.java:568)
at StreamExecCalc$392.processElement(Unknown Source)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:418)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:513)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$SwitchingOnClose.collect(StreamSourceContexts.java:103)
at org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:92)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:67)
at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:332)
{code}
Setting CAST behavior to legacy but got null result :
{code}
Flink SQL> set table.exec.legacy-cast-behaviour=enabled;
[INFO] Session property has been set.
Flink SQL> select
> cast(' 1 ' as tinyint),
> cast(' 1 ' as smallint),
> cast(' 1 ' as int),
> cast(' 1 ' as bigint),
> cast(' 1 ' as float),
> cast(' 1 ' as double);
+----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
| op | EXPR$0 | EXPR$1 | EXPR$2 | EXPR$3 | EXPR$4 | EXPR$5 |
+----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: Column 'EXPR$0' is NOT NULL, however, a null value is being written into it. You can set job configuration 'table.exec.sink.not-null-enforcer'='DROP' to suppress this exception and drop such records silently.
at org.apache.flink.table.runtime.operators.sink.ConstraintEnforcer.processNotNullConstraint(ConstraintEnforcer.java:261)
at org.apache.flink.table.runtime.operators.sink.ConstraintEnforcer.processElement(ConstraintEnforcer.java:241)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
at StreamExecCalc$591.processElement_split1(Unknown Source)
at StreamExecCalc$591.processElement(Unknown Source)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:418)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:513)
at org.apache.flink.streaming.api.operators.StreamSourceContexts$SwitchingOnClose.collect(StreamSourceContexts.java:103)
at org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:92)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:67)
at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:332)
{code}
In 1.14 the result should be {{[null, null, null, null, 1.0, 1.0]}}.
In Postgres:
{code}
postgres=# select cast(' 1 ' as int), cast(' 1 ' as bigint), cast(' 1 ' as float);
int4 | int8 | float8
------+------+--------
1 | 1 | 1
(1 row)
{code}
was:
{code:sql}
select
cast(' 1 ' as tinyint),
cast(' 1 ' as smallint),
cast(' 1 ' as int),
cast(' 1 ' as bigint),
cast(' 1 ' as float),
cast(' 1 ' as double);
{code}
The above query should return {{[1, 1, 1, 1, 1.0, 1.0]}} , but is {{[null, null, null, null, 1.0, 1.0]}}.
In Postgres:
{code}
postgres=# select cast(' 1 ' as int), cast(' 1 ' as bigint), cast(' 1 ' as float);
int4 | int8 | float8
------+------+--------
1 | 1 | 1
(1 row)
{code}
> CAST(' 1 ' as BIGINT) reutrns wrong result
> ------------------------------------------
>
> Key: FLINK-27368
> URL: https://issues.apache.org/jira/browse/FLINK-27368
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner, Table SQL / Runtime
> Affects Versions: 1.15.0
> Reporter: Jark Wu
> Priority: Critical
> Fix For: 1.15.0
>
>
> {code:sql}
> Flink SQL> select
> > cast(' 1 ' as tinyint),
> > cast(' 1 ' as smallint),
> > cast(' 1 ' as int),
> > cast(' 1 ' as bigint),
> > cast(' 1 ' as float),
> > cast(' 1 ' as double);
> +----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
> | op | EXPR$0 | EXPR$1 | EXPR$2 | EXPR$3 | EXPR$4 | EXPR$5 |
> +----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
> [ERROR] Could not execute SQL statement. Reason:
> java.lang.NumberFormatException: For input string: ' 1 '. Invalid character found.
> at org.apache.flink.table.data.binary.BinaryStringDataUtil.numberFormatExceptionFor(BinaryStringDataUtil.java:585)
> at org.apache.flink.table.data.binary.BinaryStringDataUtil.toInt(BinaryStringDataUtil.java:518)
> at org.apache.flink.table.data.binary.BinaryStringDataUtil.toByte(BinaryStringDataUtil.java:568)
> at StreamExecCalc$392.processElement(Unknown Source)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:418)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:513)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$SwitchingOnClose.collect(StreamSourceContexts.java:103)
> at org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:92)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:67)
> at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:332)
> {code}
> Setting CAST behavior to legacy but got null result :
> {code}
> Flink SQL> set table.exec.legacy-cast-behaviour=enabled;
> [INFO] Session property has been set.
> Flink SQL> select
> > cast(' 1 ' as tinyint),
> > cast(' 1 ' as smallint),
> > cast(' 1 ' as int),
> > cast(' 1 ' as bigint),
> > cast(' 1 ' as float),
> > cast(' 1 ' as double);
> +----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
> | op | EXPR$0 | EXPR$1 | EXPR$2 | EXPR$3 | EXPR$4 | EXPR$5 |
> +----+--------+--------+-------------+----------------------+--------------------------------+--------------------------------+
> [ERROR] Could not execute SQL statement. Reason:
> org.apache.flink.table.api.TableException: Column 'EXPR$0' is NOT NULL, however, a null value is being written into it. You can set job configuration 'table.exec.sink.not-null-enforcer'='DROP' to suppress this exception and drop such records silently.
> at org.apache.flink.table.runtime.operators.sink.ConstraintEnforcer.processNotNullConstraint(ConstraintEnforcer.java:261)
> at org.apache.flink.table.runtime.operators.sink.ConstraintEnforcer.processElement(ConstraintEnforcer.java:241)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
> at StreamExecCalc$591.processElement_split1(Unknown Source)
> at StreamExecCalc$591.processElement(Unknown Source)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:82)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:57)
> at org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
> at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:418)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:513)
> at org.apache.flink.streaming.api.operators.StreamSourceContexts$SwitchingOnClose.collect(StreamSourceContexts.java:103)
> at org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:92)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
> at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:67)
> at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:332)
> {code}
> In 1.14 the result should be {{[null, null, null, null, 1.0, 1.0]}}.
> In Postgres:
> {code}
> postgres=# select cast(' 1 ' as int), cast(' 1 ' as bigint), cast(' 1 ' as float);
> int4 | int8 | float8
> ------+------+--------
> 1 | 1 | 1
> (1 row)
> {code}
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