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https://issues.apache.org/jira/browse/HUDI-5058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17690983#comment-17690983
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Danny Chen commented on HUDI-5058:
----------------------------------
Fixed via master branch: d3840a0c02f97d8238fdc00946b8101cbf5217f9
> The primary key cannot be empty when Flink reads an error from the hudi table
> -----------------------------------------------------------------------------
>
> Key: HUDI-5058
> URL: https://issues.apache.org/jira/browse/HUDI-5058
> Project: Apache Hudi
> Issue Type: Bug
> Components: flink
> Affects Versions: 0.12.1
> Reporter: waywtdcc
> Assignee: waywtdcc
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.12.2
>
>
> The primary key cannot be empty when Flink reads an error from the hudi
> table. Spark SQL is used to create tables and Spark writes data. Then the
> flash reports an error when reading.
> spark sql write ,USE HUDI 0.11.1
>
>
> {code:java}
> create table test_hudi_cc16 (
> id bigint,
> name string,
> name2 string,
> ts bigint
> ) using hudi
> tblproperties (
> type = 'cow',
> primaryKey = 'id' );
> insert into test_hudi_cc16
> values
> (1, 'cc2', 'cc32',12);
> {code}
>
> flink read, use hudi 0.12.1:
>
> {code:java}
> CREATE CATALOG myhudi WITH(
> 'type' = 'hudi',
> 'default-database' = 'test_hudi1',
> 'catalog.path' = '/user/hdpu/warehouse',
> 'mode' = 'hms',
> 'hive.conf.dir' = 'hdfs:///user/hdpu/streamx/conf_data/hive_conf'
> )
> select *
> from myhudi.test_hudi6.test_hudi_cc16; {code}
>
> error:
>
> {code:java}
> org.apache.flink.table.api.ValidationException: Invalid primary key 'PK_id'.
> Column 'id' is nullable. at
> org.apache.flink.table.catalog.DefaultSchemaResolver.validatePrimaryKey(DefaultSchemaResolver.java:352)
> at
> org.apache.flink.table.catalog.DefaultSchemaResolver.resolvePrimaryKey(DefaultSchemaResolver.java:312)
> at
> org.apache.flink.table.catalog.DefaultSchemaResolver.resolve(DefaultSchemaResolver.java:88)
> at org.apache.flink.table.api.Schema.resolve(Schema.java:123)
> at
> org.apache.flink.table.catalog.CatalogManager.resolveCatalogTable(CatalogManager.java:877)
> at
> org.apache.flink.table.catalog.CatalogManager.resolveCatalogBaseTable(CatalogManager.java:863)
> at
> org.apache.flink.table.catalog.CatalogManager.getPermanentTable(CatalogManager.java:426)
> at
> org.apache.flink.table.catalog.CatalogManager.getTable(CatalogManager.java:395)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:1061)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:649)
> at
> org.grg_banking.flink.sqlexecute.FlinkUtils.exeucteSqlFile2(FlinkUtils.java:260)
> at org.apache.flink.catalog.test.TestCatalog.test1(TestCatalog.java:49)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
> at
> org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
> at
> org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
> at
> org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
> at
> org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
> at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
> at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
> at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
> at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
> at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
> at
> com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
> at
> com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
> at
> com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:235)
> at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:54)
> Process finished with exit code -1
> {code}
>
>
> It may be a version compatibility problem. Flink hudi 0.12.1 does not support
> reading the table of spark hudi 0.11. However, I think it should be backward
> compatible with the read function.
>
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