我正在使用zeppelin，并尝试使用ctas语句从另一个配置单元表创建一个配置单元表
但是我的查询总是以错误结束，所以表不会被创建。我发现有几个帖子说要修改齐柏林飞艇的配置，但我不能改变任何配置，因为我没有这样做的权限。
我执行的查询和得到的错误如下：

%sql
create table student as select * from student_score

org.apache.hadoop.hive.ql.metadata.hiveexception:无法更改表。方法名称无效：org.apache.hadoop.hive.ql.metadata.hive.altertable（hive）中的“alter\u table\u with\u cascade”。java:500)在org.apache.hadoop.hive.ql.metadata.hive.altertable（hive。java:484)在org.apache.hadoop.hive.ql.metadata.hive.loadtable（hive。java:1668)位于sun.reflect.nativemethodaccessorimpl.invoke0（本机方法）sun.reflect.nativemethodaccessorimpl.invoke（nativemethodaccessorimpl。java:62)在sun.reflect.delegatingmethodaccessorimpl.invoke（delegatingmethodaccessorimpl。java:43)在java.lang.reflect.method.invoke（方法。java:498)在org.apache.spark.sql.hive.client.shim\u v0\u 14.loadtable（hiveshim。scala:716)在org.apache.spark.sql.hive.client.hiveclientimpl$$anonfun$loadtable$1.apply$mcv$sp（hiveclientimpl）。scala:672)在org.apache.spark.sql.hive.client.hiveclientimpl$$anonfun$loadtable$1.apply（hiveclientimpl。scala:672)在org.apache.spark.sql.hive.client.hiveclientimpl$$anonfun$loadtable$1.apply（hiveclientimpl。scala:672)在org.apache.spark.sql.hive.client.hiveclientimpl$$anonfun$与hivestate$1.apply（hiveclientimpl。scala:283)位于org.apache.spark.sql.hive.client.hiveclientimpl.liftedtree1$1（hiveclientimpl。scala:230)位于org.apache.spark.sql.hive.client.hiveclientimpl.retrylocked（hiveclientimpl。scala:229)在org.apache.spark.sql.hive.client.hiveclientimpl.withhivestate（hiveclientimpl。scala:272)位于org.apache.spark.sql.hive.client.hiveclientimpl.loadtable（hiveclientimpl。scala:671)在org.apache.spark.sql.hive.hiveexternalcatalog$$anonfun$loadtable$1.apply$mcv$sp（hiveexternalcatalog）。scala:741)在org.apache.spark.sql.hive.hiveexternalcatalog$$anonfun$loadtable$1.apply（hiveexternalcatalog。scala:739)在org.apache.spark.sql.hive.hiveexternalcatalog$$anonfun$loadtable$1.apply（hiveexternalcatalog。scala:739)位于org.apache.spark.sql.hive.hiveexternalcatalog.withclient（hiveexternalcatalog。scala:95)在org.apache.spark.sql.hive.hiveexternalcatalog.loadtable（hiveexternalcatalog。scala:739)位于org.apache.spark.sql.hive.execution.insertintohivetable.sideeffectresult$lzycompute（insertintohivetable）。scala:323)位于org.apache.spark.sql.hive.execution.insertintohivetable.sideeffectresult（insertintohivetable。scala:170)在org.apache.spark.sql.hive.execution.insertintohivetable.doexecute（insertintohivetable。scala:347)在org.apache.spark.sql.execution.sparkplan$$anonfun$execute$1.apply（sparkplan。scala:114)在org.apache.spark.sql.execution.sparkplan$$anonfun$execute$1.apply（sparkplan。scala:114)在org.apache.spark.sql.execution.sparkplan$$anonfun$executequery$1.apply（sparkplan。scala:135)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:151)在org.apache.spark.sql.execution.sparkplan.executequery（sparkplan。scala:132)在org.apache.spark.sql.execution.sparkplan.execute（sparkplan。scala:113)在org.apache.spark.sql.execution.queryexecution.tordd$lzycompute（查询执行）。scala:87)在org.apache.spark.sql.execution.queryexecution.tordd（queryexecution。scala:87)在org.apache.spark.sql.hive.execution.createhivetableasselectcommand.run（createhivetableasselectcommand。scala:92)在org.apache.spark.sql.execution.command.executedcommandexec.sideeffectresult$lzycompute（命令。scala:58)在org.apache.spark.sql.execution.command.executedcommandexec.sideeffectresult（commands。scala:56)在org.apache.spark.sql.execution.command.executecommandexec.doexecute（commands。scala:74)在org.apache.spark.sql.execution.sparkplan$$anonfun$执行$1.apply（sparkplan。scala:114)在org.apache.spark.sql.execution.sparkplan$$anonfun$execute$1.apply（sparkplan。scala:114)在org.apache.spark.sql.execution.sparkplan$$anonfun$executequery$1.apply（sparkplan。scala:135)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:151)在org.apache.spark.sql.execution.sparkplan.executequery（sparkplan。scala:132)在org.apache.spark.sql.execution.sparkplan.execute（sparkplan。scala:113)在org.apache.spark.sql.execution.queryexecution.tordd$lzycompute（queryexecution。scala:87)在org.apache.spark.sql.execution.queryexecution.tordd（查询执行）。scala:87)在org.apache.spark.sql.dataset。scala:185)在org.apache.spark.sql.dataset$.ofrows（dataset。scala:64)在org.apache.spark.sql.sparksession.sql（sparksession。scala:592) ... 47省略的原因：org.apache.thrift.tapplicationexception:方法名称无效：org.apache.thrift.tapplicationexception.read（tapplicationexception）处的“alter \u table \u with \u cascade”。java:111)位于org.apache.thrift.tserviceclient.receivebase（tserviceclient。java:71)
位于org.apache.hadoop.hive.metastore.api.thrifthivemetastore$client.recv\u alter\u table\u with\u cascade（thrifthivemetastore）。java:1374)在org.apache.hadoop.hive.metastore.api.thrifthivemetastore$client.alter\u table\u with\u cascade（thrifthivemetastore）。java:1358)位于org.apache.hadoop.hive.metastore.hivemetastoreclient.alter\ u table（hivemetastoreclient。java:340) 位于org.apache.hadoop.hive.ql.metadata.sessionhivemetastoreclient.alter\ table（sessionhivemetastoreclient）。java:251)在sun.reflect.nativemethodaccessorimpl.invoke0（本机方法）在sun.reflect.nativemethodaccessorimpl.invoke（nativemethodaccessorimpl）。java:62)在sun.reflect.delegatingmethodaccessorimpl.invoke（delegatingmethodaccessorimpl。java:43)在java.lang.reflect.method.invoke（方法。java:498)位于org.apache.hadoop.hive.metastore.retryingmetastoreclient.invoke（retryingmetastoreclient。java:156)org.apache.hadoop.hive.ql.metadata.hive.altertable（hive。java:496)
... 93个以上