[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fdIqJvvqkuLgPyz7-HJXC6bv4I9QMyvyDvDvKtksJuYU":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2024-01-17 22:01:43",131576042,[8,9,10,11],"Hive支持自由的扩展集群的规模,只需要重启服务即可","Hive支持自定义函数,用户可以根据自己的需求去定义函数","Hive sQL执行时,需要避免节点出现问题","Hive适合处理小批量数据",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},101,"e2bbc4582a601c8048aecaa0f2dc0bf0","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9c1e48361b00f3ee2086f4e259ed792b.jpg","划水","exam_111868532","新建试卷20231228183739","下列关于Hive特点总结正确的选项是( )",[21,32,35,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],131576036,[25,26,27,28],"Hive适合于长时间的批处理查询分析,而Impala适合于实时交互式SQL查询","Hive 与 Impala使用相同的元数据","Hive在内存不足以存储所有数据时,会使用外存,而Impala也是如此","Hive 与Impala中对SQL的解释处理比较相似,都是通过词法分析生成执行计划","下列有关Hive和 Impala的对比错误的是( ) 15题 30分","v1",0,{"answer":33,"createTime":5,"id":6,"options":34,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":30,"type":31},[],131576044,[39,40,41,42],"show partitions table1","desc table1","show create table table1","drop table1","下面关于Hive查看表table1的分区的描述正确的是( )",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":30,"type":31},[],131576045,[48,49,50,51],"UDF: UNIX_TIMESTAMP; UDAF:COUNT,MAX,MIN,LEAD,LAG; UDTF: SPLIT,EXPLODE","UDAF: COUNT,MAX,MIN,LEAD,LAG,EXPLODE","UDF: UNIX_TIMESTAMP,COUNT,MAX,MIN;UDAF:LEAD,LAG","UDF︰ UNIX_TIMESTAMP,SPLIT; UDAF: COUNT,MAX,MIN,LEAD,LAG; UDTF:EXPLODE","下面关于Hive描述函数类型描述正确的是( )",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":30,"type":31},[],131576049,[57,58,59,60],"order by是要对输出的结果进行全局排序,多个reducer可以实现全局排序","sort by 不是全局排序,只是在进入到reducer之前完成排序","distribute by 指的是按照指定的字段划分到不同的输出reduce文件中,常见使用方式是order bydistribute by","cluster by不仅支持正序排序,也支持逆序排序","下面关于Hive四种排序方式的区别,描述正确的是( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":30,"type":31},[],131576050,[66,67,68,69],"Hive使用了查询语言HQL(Hive Query Language),HQL与SQL没有任何关系","Hive和传统数据库除了拥有类似的查询语言,再无类似之处","Hive是建立在Hadoop之上的,所有Hive的数据都是存储在HDFS 中的,而数据库则可以将数据保存在块设备或者本地文件系统中","Hive的针对数据仓库设计,针对的是读多写少的场景","下面关于Hive和传统数据库的比较描述正确的是( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],131576051,[75,76,77,78],"(2)(4)(5)(6)","(1)(4)(5)(6)","(1)(4)(6)","(3)(4)(6)","下面关于Hive SQL的JOIN关键词正确的是( )(1)INNERN JOIN(2)JOIN(3)OUTERJOIN(4)RIGHT JOIN(5)CROSs JOIN(6)LEFT JOIN",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],131576053,[84,85,86,87],"MySQL","TaskManager","HDFS","Client","下列哪个组件不属于Hive架构( )",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],131576054,[93,94,95,96],"INSERT OVERWRITETABLE table1 PARTITION (dt='{iyyyyMMdd-1dj}')SELECT*FROM table2","INSERT OVERWRITETABLE table1 PARTITION (dt='tfyyyyMMdd-1d}])SELECT*FROM table2WHERE dt= 'iyyyyMMdd-1d}}'","INSERT OVERWRITE TABLE table1 SELECT *FROM table2","INSERT OVERWRITE TABLE table1 SELECT*FROM table2 WHERE dt = 'lyyyyMMdd-1d}","下面关于Hive sQL将分区表table2中所有的数据迁移至table1中描述正确的是( ),要求一模一样",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],131576056,[102,103,104,105],"建表时候如果不显示声明表的类型,则建表为外表","外表使用DROP语句可以删除的很干净","外表由Hive自己管理","建表时候如果不显示声明表的类型,则建表为内表","下面关于Hive内外表描述正确的是( )"]