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From Jark Wu <imj...@gmail.com>
Subject Re: Field types of query result and registered TableSink [Result] do not match
Date Thu, 19 Mar 2020 01:43:01 GMT
Hi zhisheng,

我猜测你的 TableSink 的实现用了 legacy type, i.e. TypeInformation, 而不是 DataType。
legacy type 是无法表达精度的,所以只能 mapping 到默认的 38, 18 上。
这是框架做的一个合法性校验。

Best,
Jark

On Thu, 19 Mar 2020 at 09:33, zhisheng <zhisheng2018@gmail.com> wrote:

> hi, Jark
>
> 我刚使用 1.10.0 测试,报错异常如下:
>
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Type DECIMAL(5, 2) of table field 'yidun_score' does not match with the
> physical type LEGACY('DECIMAL', 'DECIMAL') of the 'yidun_score' field of
> the TableSink consumed type.
> at
>
> org.apache.flink.table.utils.TypeMappingUtils.lambda$checkPhysicalLogicalTypeCompatible$4(TypeMappingUtils.java:164)
> at
>
> org.apache.flink.table.utils.TypeMappingUtils$1.visit(TypeMappingUtils.java:265)
> at
>
> org.apache.flink.table.utils.TypeMappingUtils$1.visit(TypeMappingUtils.java:254)
> at
>
> org.apache.flink.table.types.logical.LegacyTypeInformationType.accept(LegacyTypeInformationType.java:102)
> at
>
> org.apache.flink.table.utils.TypeMappingUtils.checkIfCompatible(TypeMappingUtils.java:254)
> at
>
> org.apache.flink.table.utils.TypeMappingUtils.checkPhysicalLogicalTypeCompatible(TypeMappingUtils.java:160)
> at
>
> org.apache.flink.table.planner.sinks.TableSinkUtils$$anonfun$validateLogicalPhysicalTypesCompatible$1.apply$mcVI$sp(TableSinkUtils.scala:287)
> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160)
> at
>
> org.apache.flink.table.planner.sinks.TableSinkUtils$.validateLogicalPhysicalTypesCompatible(TableSinkUtils.scala:280)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:194)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:190)
> at scala.Option.map(Option.scala:146)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:190)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:150)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:150)
> at
>
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
>
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> 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.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
>
> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:150)
> 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 com.zhisheng.sql.blink.stream.example.Test.main(Test.java:49)
> Caused by: org.apache.flink.table.api.ValidationException: Legacy decimal
> type can only be mapped to DECIMAL(38, 18).
> ... 26 more
>
> 看报错日志像是只能使用 DECIMAL(38, 18),不然映射会失败,然后我将表定义成
DECIMAL(38, 18) 类型,就不报错了。
>
> 看了下源码是 TypeMappingUtils 类中的 checkIfCompatible 做了校验
>
> http://zhisheng-blog.oss-cn-hangzhou.aliyuncs.com/2020-03-19-012349.png
>
> 看了下这个 private 方法的上层是 checkPhysicalLogicalTypeCompatible 方法,这个方法的注释说:
>
> Checks whether the given physical field type and logical field type are
> compatible at the edges of the table ecosystem. Types are still compatible
> if the physical type is a legacy decimal type (converted from
> Types#BIG_DEC) and the logical type is DECIMAL(38, 18). This is to support
> legacy TypeInformation for TableSource and TableSink.
>
> 看起来像是在兼容旧的 TypeInformation
>
> zhisheng <zhisheng2018@gmail.com> 于2020年3月19日周四 上午8:31写道:
>
> > 对的,这是生产的一个 1.9 blink planner 作业,今天我测试一下
1.10 blink planner
> >
> > Jark Wu <imjark@gmail.com> 于2020年3月18日周三 下午11:47写道:
> >
> >> Hi zhisheng,
> >>
> >> 你用的是1.9吗? 试过 1.10.0 blink planner 么?
> >>
> >> On Wed, 18 Mar 2020 at 22:21, zhisheng <zhisheng2018@gmail.com> wrote:
> >>
> >> > hi, all
> >> >
> >> > 我定义的一个表的一个字段(yidun_score)是 numeric(5,2) 类型,写入
PostgreSQL 的 DDL
> >> yidun_score
> >> > 字段也是定义的 numeric(5,2) 类型,结果会报异常。
> >> >
> >> > org.apache.flink.client.program.ProgramInvocationException: The main
> >> method
> >> > caused an error: Field types of query result and registered TableSink
> >> > [Result] do not match.
> >> > Query result schema: [user_new_id: Long, total_credit_score: Integer,
> >> > total_order_count: Integer, loss_total_order_count: Integer,
> >> yidun_score:
> >> > BigDecimal, is_delete: Boolean]
> >> > TableSink schema:    [user_new_id: Long, total_credit_score: Integer,
> >> > total_order_count: Integer, loss_total_order_count: Integer,
> >> yidun_score:
> >> > BigDecimal, is_delete: Boolean]
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:593)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:438)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.program.OptimizerPlanEnvironment.getOptimizedPlan(OptimizerPlanEnvironment.java:83)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.program.PackagedProgramUtils.createJobGraph(PackagedProgramUtils.java:80)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.program.PackagedProgramUtils.createJobGraph(PackagedProgramUtils.java:122)
> >> > at
> >> org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:227)
> >> > at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:205)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1010)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.client.cli.CliFrontend.lambda$main$10(CliFrontend.java:1083)
> >> > at java.security.AccessController.doPrivileged(Native Method)
> >> > at javax.security.auth.Subject.doAs(Subject.java:422)
> >> > at
> >> >
> >> >
> >>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
> >> > at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1083)
> >> > Caused by: org.apache.flink.table.api.ValidationException: Field types
> >> of
> >> > query result and registered TableSink [Result] do not match.
> >> > Query result schema: [user_new_id: Long, total_credit_score: Integer,
> >> > total_order_count: Integer, loss_total_order_count: Integer,
> >> yidun_score:
> >> > BigDecimal, is_delete: Boolean]
> >> > TableSink schema:    [user_new_id: Long, total_credit_score: Integer,
> >> > total_order_count: Integer, loss_total_order_count: Integer,
> >> yidun_score:
> >> > BigDecimal, is_delete: Boolean]
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.sinks.TableSinkUtils$.validateSink(TableSinkUtils.scala:69)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:179)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$2.apply(PlannerBase.scala:178)
> >> > at scala.Option.map(Option.scala:146)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:178)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:146)
> >> > at
> >> >
> >> >
> >>
> org.apache.flink.table.planner.delegation.PlannerBase$$anonfun$1.apply(PlannerBase.scala:146)
> >> > at
> >> >
> >> >
> >>
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> >> > at
> >> >
> >> >
> >>
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> >> > at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> >> >
> >> > 我后面把 numeric(5,2) 类型都改成 double,结果发现就不报异常了,可以正常将数据写入
PG,不知道这个 case
> 是不是一个
> >> > bug?
> >> >
> >>
> >
>

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