create table groups ( group_id string, mem_a struct<name:string, age:int, gender:string>, mem_b struct<name:string, age:int, gender:string> ) row format delimited fields terminated by ' ' collection items terminated by ','; -- 加载数据 load data local inpath '/opt/hive_data/infos' ...
--collect array of strings and concatenate it using ',' delimiter ']' ) as my_string from ( select s.ID, cast(mystruct as string) as element --concatenate struct using : as a delimiter Or concatenate in some other way from mydata s lateral view explode(s.my_array) a as mystruct ...
isArray() 判断对象是否为数组。 join() 把数组的所有元素放入一个字符串。 keys() 返回数组的可...
users struct<id:int,name:string,age:int>)rowformat delimited fields terminatedby'\t'; 往刚刚创建的表中插入一些测试数据: insertintotablestruct_testvalues(named_struct("id",1001,"name","Mary","age",20)),(named_struct("id",1002,"name","Jack","age",21)),(named_struct("id",1003,"nam...
create tablearray_table(id int,items array<string>);insert intoarray_table(id,items)values(1,array('apple','banana','pear')),(2,array('watermelon','orange')),(3,array(null)); 数据集如下 代码语言:javascript 代码运行次数:0 运行
lst ARRAY<STRING>, strct STRUCT<A:STRING,B:STRING>) PARTITIONEDBY(part string) STOREDASPARQUET; 测试表结构 CREATEEXTERNALTABLEIFNOTEXISTSjc.dwd_wildanimal_news_json( odsId String, dwdId String, createDateBIGINT, siteName String, sourceUrl String, ...
ARRAY array<int>``array<struct> array(1, 2, 3)``array(array(1, 2), array(3, 4)) MAP map<string, string>``map<smallint, array<string>> map(“k1”, “v1”, “k2”, “v2”)``map(1S, array(‘a’, ‘b’), 2S, array(‘x’, ‘y’)) STRUCT struct<x:int, y:int...
array<struct> array(1, 2, 3) array(array(1, 2), array(3, 4)) MAP map<string, string> map<smallint, array<string>> map(“k1”, “v1”, “k2”, “v2”) map(1S, array(‘a’, ‘b’), 2S, array(‘x’, ‘y’)) STRUCT struct<x:int, y:int> struct<field1:bigint,...
--convertBinaryArrayToString=[true/false] display binary column data as string or as byte array --help display this message 2、常用参数在Hive CLI 中支持的参数,Beeline 都支持,常用的参数如下。更多参数说明可以参见官方文档 Beeline Command Options 3、通过代理用户连接 Hive(不需要配置用户名和密码)1)在...
Hive支持集合数据类型,包括 array、map、struct、union 类型描述字面量示例 ARRAY 有序的相同数据类型的集合 array(1,2) MAP key-value对。key必须是基 本数据类型,value不限 map('a', 1, 'b',2) STRUCT 不同类型字段的集合。类似 于C语言的结构体 struct('1',1,1.0), named_struct('col1', '1'...