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Posted to issues@flink.apache.org by "wei (Jira)" <ji...@apache.org> on 2022/07/01 03:06:00 UTC
[jira] [Updated] (FLINK-28276) org.apache.flink.connectors.hive.FlinkHiveException: Unable to instantiate the hadoop input format
[ https://issues.apache.org/jira/browse/FLINK-28276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
wei updated FLINK-28276:
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Attachment: image-2022-07-01-11-05-01-238.png
> org.apache.flink.connectors.hive.FlinkHiveException: Unable to instantiate the hadoop input format
> --------------------------------------------------------------------------------------------------
>
> Key: FLINK-28276
> URL: https://issues.apache.org/jira/browse/FLINK-28276
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive
> Affects Versions: 1.14.2
> Environment: Flink 1.14.2
> Hive 3.1.2
> Scala 2.12
> Iceberg 0.12.1
> Hadoop 3.2.1
> Reporter: wei
> Priority: Major
> Attachments: BA9CEEA0-BF38-4568-A7AD-66C68B19CF14.png, image-2022-06-30-09-37-44-705.png, image-2022-06-30-10-36-17-075.png, image-2022-07-01-11-05-01-238.png
>
>
> When I read Iceberg tables using Flink HiveCatalog, based on S3A, I got this error:
>
> {code:java}
> //代码占位符
> Exception in thread "main" org.apache.flink.connectors.hive.FlinkHiveException: Unable to instantiate the hadoop input format
> at org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createMRSplits(HiveSourceFileEnumerator.java:100)
> at org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createInputSplits(HiveSourceFileEnumerator.java:71)
> at org.apache.flink.connectors.hive.HiveTableSource.lambda$getDataStream$1(HiveTableSource.java:149)
> at org.apache.flink.connectors.hive.HiveParallelismInference.logRunningTime(HiveParallelismInference.java:107)
> at org.apache.flink.connectors.hive.HiveParallelismInference.infer(HiveParallelismInference.java:95)
> at org.apache.flink.connectors.hive.HiveTableSource.getDataStream(HiveTableSource.java:144)
> at org.apache.flink.connectors.hive.HiveTableSource$1.produceDataStream(HiveTableSource.java:114)
> at org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecTableSourceScan.translateToPlanInternal(CommonExecTableSourceScan.java:106)
> at org.apache.flink.table.planner.plan.nodes.exec.batch.BatchExecTableSourceScan.translateToPlanInternal(BatchExecTableSourceScan.java:49)
> at org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134)
> at org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:250)
> at org.apache.flink.table.planner.plan.nodes.exec.batch.BatchExecSink.translateToPlanInternal(BatchExecSink.java:58)
> at org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134)
> at org.apache.flink.table.planner.delegation.BatchPlanner.$anonfun$translateToPlan$1(BatchPlanner.scala:82)
> at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
> at scala.collection.Iterator.foreach(Iterator.scala:937)
> at scala.collection.Iterator.foreach$(Iterator.scala:937)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
> at scala.collection.IterableLike.foreach(IterableLike.scala:70)
> at scala.collection.IterableLike.foreach$(IterableLike.scala:69)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike.map(TraversableLike.scala:233)
> at scala.collection.TraversableLike.map$(TraversableLike.scala:226)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.flink.table.planner.delegation.BatchPlanner.translateToPlan(BatchPlanner.scala:81)
> at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:185)
> at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1665)
> at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeQueryOperation(TableEnvironmentImpl.java:805)
> at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:1274)
> at org.apache.flink.table.api.internal.TableImpl.execute(TableImpl.java:601)
> at loshu.flink.hive.FlinkSQLHiveWriter.main(FlinkSQLHiveWriter.java:69)
> Caused by: java.lang.InstantiationException
> at sun.reflect.InstantiationExceptionConstructorAccessorImpl.newInstance(InstantiationExceptionConstructorAccessorImpl.java:48)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at java.lang.Class.newInstance(Class.java:442)
> at org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createMRSplits(HiveSourceFileEnumerator.java:98)
> ... 30 more
> 16:33:36,767 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl [] - Stopping s3a-file-system metrics system...
> 16:33:36,767 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl [] - s3a-file-system metrics system stopped.
> 16:33:36,768 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl [] - s3a-file-system metrics system shutdown complete.Process finished with exit code 1
> {code}
> My code is:
> {code:java}
> //代码占位符
> public class FlinkSQLHiveWriter {
> private static org.apache.log4j.Logger log = Logger.getLogger(FlinkSQLHiveWriter.class);
> public static void main(String[] args) throws Exception {
> System.setProperty("HADOOP_USER_NAME", "root");
> System.setProperty("hadoop.home.dir", "/opt/hadoop-3.2.1/");
> EnvironmentSettings settings = EnvironmentSettings.newInstance()
> .inBatchMode()
> .build();
> TableEnvironment tableEnv = TableEnvironment.create(settings);
> String catalogName = "s3IcebergCatalog";
> String defaultDatabase = "s3a_flink";
> String hiveConfDir = "flink-cloud/src/main/resources";
> HiveCatalog hive = new HiveCatalog(catalogName, defaultDatabase, hiveConfDir);
> tableEnv.registerCatalog(catalogName, hive);
> tableEnv.useCatalog(catalogName);
> tableEnv.useDatabase(defaultDatabase);
> System.out.println(hive.listDatabases());
> System.out.println(hive.listTables(defaultDatabase));
> String tableName = "icebergTBCloudTracking";
> // set sql dialect as default, means using flink sql.
> tableEnv.getConfig().setSqlDialect(SqlDialect.DEFAULT);
> String sql = "select vin from " + tableName;
> // String sql = "DESC " + tableName;
> System.out.println(sql);
> Table table = tableEnv.sqlQuery(sql);
> table.execute();
> }
> } {code}
> I can "show tables" or "describe tables", but when using "select * from table" the error occurs.
>
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