第一次弄，不知道这么写的对不对 https://issues.apache.org/jira/projects/FLINK/issues/FLINK-27604
18579099...@163.com 发件人： Jingsong Li 发送时间： 2022-05-13 15:06 收件人： user-zh 主题： Re: Re: flink sql无法读取Hive映射的HBase表 Hi, 推荐 https://www.deepl.com/translator 非常好用 我记得对Hive Custom Storage Handler(hbase)是有问题的 Best, Jingsong On Fri, May 13, 2022 at 2:12 PM 18579099...@163.com <18579099...@163.com> wrote: > 我英文能力不允许啊。。。。 > > > > 18579099...@163.com > > 发件人： yuxia > 发送时间： 2022-05-11 15:11 > 收件人： user-zh > 主题： Re: flink sql无法读取Hive映射的HBase表 > 不好意思，我尝试复现你的问题，但是我没有 hbase 环境，不过看起来是只有当 STORED BY > 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' 有问题？ > 我之后空了再debug 看看。 > > 不过我看了一下 flink 这块的代码，从 flink 这块的代码来看，应该是 get 这个 hive 表之后，它的 > StorageDescriptor 的 inputformat 为 null，然后 Class.forName(inputformat) 就报错 > NPE了。 > 应该是这块代码有点问题。 > 如果你方便的话，可以辛苦帮忙建一个 jira～ > https://issues.apache.org/jira/projects/FLINK/summary > > > > Best regards, > Yuxia > > ----- 原始邮件 ----- > 发件人: 18579099...@163.com > 收件人: "user-zh" <user-zh@flink.apache.org> > 发送时间: 星期二, 2022年 5 月 10日 上午 10:39:16 > 主题: Re: Re: flink sql无法读取Hive映射的HBase表 > > 版本： > flink:1.13.6 > hive:2.1.1-cdh6.2.0 > hbase:2.1.0-cdh6.2.0 > flinksql执行工具：flink sql client > sql 提交模式：yarn-per-job > > ------------------------------------------------------------------------------------------------------------------------------------------------- > flink lib目录下的包 > antlr-runtime-3.5.2.jar > flink-csv-1.13.6.jar > flink-dist_2.11-1.13.6.jar > flink-json-1.13.6.jar > flink-shaded-zookeeper-3.4.14.jar > flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar > flink-table_2.11-1.13.6.jar > flink-table-blink_2.11-1.13.6.jar > guava-14.0.1.jar > hadoop-mapreduce-client-core-3.0.0-cdh6.2.0.jar > hbase-client-2.1.0-cdh6.2.0.jar > hbase-common-2.1.0-cdh6.2.0.jar > hbase-protocol-2.1.0-cdh6.2.0.jar > hbase-server-2.1.0-cdh6.2.0.jar > hive-exec-2.1.1-cdh6.2.0.jar > hive-hbase-handler-2.1.1-cdh6.2.0.jar > htrace-core4-4.1.0-incubating.jar > log4j-1.2-api-2.17.1.jar > log4j-api-2.17.1.jar > log4j-core-2.17.1.jar > log4j-slf4j-impl-2.17.1.jar > protobuf-java-2.5.0.jar > > ---------------------------------------------------------------------------------------------------------------------------------------- > hive建表语句 > CREATE EXTERNAL TABLE `ods.student`( > `row_key` string, > `name` string, > `age` int, > `addr` string > ) > ROW FORMAT SERDE > 'org.apache.hadoop.hive.hbase.HBaseSerDe' > STORED BY > 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' > WITH SERDEPROPERTIES ( > > 'hbase.columns.mapping'=':key,FINAL:NAME,FINAL:AGE,FINAL:ADDR,'serialization.format'='1') > TBLPROPERTIES ( > 'hbase.table.name'='ODS:STUDENT') ； > catalog：hive catalog > sql: select * from ods.student; > 我看了报错信息之后添加了一些jar包到flink lib下，之前报的错跟缺少依赖有关。现在又出现了新的错误。 > [ERROR] Could not execute SQL statement. Reason: > org.apache.flink.connectors.hive.FlinkHiveException: Unable to instantiate > the hadoop input format > > -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- > 详细的堆栈 > org.apache.flink.table.client.gateway.SqlExecutionException: Could not > execute SQL statement. > at > org.apache.flink.table.client.gateway.local.LocalExecutor.executeOperation(LocalExecutor.java:215) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.local.LocalExecutor.executeQuery(LocalExecutor.java:235) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.cli.CliClient.callSelect(CliClient.java:479) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.cli.CliClient.callOperation(CliClient.java:412) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.cli.CliClient.lambda$executeStatement$0(CliClient.java:327) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at java.util.Optional.ifPresent(Optional.java:159) ~[?:1.8.0_191] > at > org.apache.flink.table.client.cli.CliClient.executeStatement(CliClient.java:327) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.cli.CliClient.executeInteractive(CliClient.java:297) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.cli.CliClient.executeInInteractiveMode(CliClient.java:221) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at org.apache.flink.table.client.SqlClient.openCli(SqlClient.java:151) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at org.apache.flink.table.client.SqlClient.start(SqlClient.java:95) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at org.apache.flink.table.client.SqlClient.startClient(SqlClient.java:187) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > at org.apache.flink.table.client.SqlClient.main(SqlClient.java:161) > [flink-sql-client_2.11-1.13.6.jar:1.13.6] > Caused by: org.apache.flink.connectors.hive.FlinkHiveException: Unable to > instantiate the hadoop input format > at > org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createMRSplits(HiveSourceFileEnumerator.java:100) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createInputSplits(HiveSourceFileEnumerator.java:71) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource.lambda$getDataStream$1(HiveTableSource.java:212) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveParallelismInference.logRunningTime(HiveParallelismInference.java:107) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveParallelismInference.infer(HiveParallelismInference.java:95) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource.getDataStream(HiveTableSource.java:207) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource$1.produceDataStream(HiveTableSource.java:123) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecTableSourceScan.translateToPlanInternal(CommonExecTableSourceScan.java:96) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:247) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.java:114) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:70) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:69) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.Iterator$class.foreach(Iterator.scala:891) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:69) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:165) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1518) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeQueryOperation(TableEnvironmentImpl.java:791) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:1225) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$executeOperation$3(LocalExecutor.java:213) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.context.ExecutionContext.wrapClassLoader(ExecutionContext.java:90) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.local.LocalExecutor.executeOperation(LocalExecutor.java:213) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > ... 12 more > Caused by: java.lang.NullPointerException > at java.lang.Class.forName0(Native Method) ~[?:1.8.0_191] > at java.lang.Class.forName(Class.java:348) ~[?:1.8.0_191] > at > org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createMRSplits(HiveSourceFileEnumerator.java:94) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveSourceFileEnumerator.createInputSplits(HiveSourceFileEnumerator.java:71) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource.lambda$getDataStream$1(HiveTableSource.java:212) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveParallelismInference.logRunningTime(HiveParallelismInference.java:107) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveParallelismInference.infer(HiveParallelismInference.java:95) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource.getDataStream(HiveTableSource.java:207) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.connectors.hive.HiveTableSource$1.produceDataStream(HiveTableSource.java:123) > ~[flink-sql-connector-hive-2.2.0_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecTableSourceScan.translateToPlanInternal(CommonExecTableSourceScan.java:96) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:247) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.java:114) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:70) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:69) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.Iterator$class.foreach(Iterator.scala:891) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > ~[flink-dist_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:69) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:165) > ~[flink-table-blink_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1518) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeQueryOperation(TableEnvironmentImpl.java:791) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:1225) > ~[flink-table_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$executeOperation$3(LocalExecutor.java:213) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.context.ExecutionContext.wrapClassLoader(ExecutionContext.java:90) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > at > org.apache.flink.table.client.gateway.local.LocalExecutor.executeOperation(LocalExecutor.java:213) > ~[flink-sql-client_2.11-1.13.6.jar:1.13.6] > ... 12 more > > > > > > > > 18579099...@163.com > 发件人： yuxia > 发送时间： 2022-05-10 09:32 > 收件人： user-zh > 主题： Re: flink sql无法读取Hive映射的HBase表 > 用的是 Hive Catalog 吗？ Hive connector 和 Hive 的版本 都是多少呢？ > 另外，详细堆栈贴一下。 > Best regards, > Yuxia > ----- 原始邮件 ----- > 发件人: 18579099...@163.com > 收件人: "user-zh" <user-zh@flink.apache.org> > 发送时间: 星期一, 2022年 5 月 09日 下午 5:46:02 > 主题: flink sql无法读取Hive映射的HBase表 > 我有一部分表的数据是存在hbase上的，平时通过hive加载外部表的方式读取hbase的数据，我想通过flink sql读取hive表的方式 > 读取数据（不直接使用flink > 读取hbase是我使用的catalog是hive，不用再写建表语句然后再查），当我用sql-client尝试的时候报错。 > 读取正常的hive是可以正常读取的，但是读取hive on hbase表却报 > [ERROR] Could not execute SQL statement. Reason: > org.apache.flink.table.catalog.exceptions.CatalogException: Failed to get > table schema from deserializer。 > 不知道有没有什么办法可以解决这个问题，使用spark引擎是可以读取到数据的。 > 18579099...@163.com >
