通過hue進行數據導入：
1，create table demo_id(`id` string) row format serde ‘org.apache.hadoop.hive.serde2.OpenCSVSerde‘
2, load data inpath ‘/user/demo.csv‘ into table demo_id

#sql數據篩選
create table `table_name` as
    select a.id,a.name,a.time
    from `a_name` a
    where  a.type = ‘A‘ and a.year =
 
 ‘2018‘ and
    A.month IN(‘01‘，‘02‘, ‘03‘) and a.idstr regxp ‘^\\$\\_[0-9][0-9]\\0.+‘

#sql數據聯表，左外連接查詢
create table `table_name` as
    select b.id, b.name, b.month
    from `a_name` a JOIN `b_name` b
    on a.id =b.id 
    where b.idstr regxp ‘^\\$\\_(?!01).+‘

#sql數據查詢 group by
create table `table_name` as
 

    select a.id,a.name,min(a.month)
    from `a_name` a 
    where a.str = ‘你好‘ and a.m > ‘05‘
    group by a.str,a.id

#sql數據排序 order by,將查詢結果按照a字段分組（partition），然後組內按照b字段排序,row_number() 用於標記順序
create table `table_name` as
    select * from (select *,row_number() over(partition by t.deviceid order
 
 by t.time DESC) 
        as RNO 
            from `table_name_A` t) as TEMP
    where TEMP.RNO<7

#sql數據切分字段，並排序
selcet b.id, substr(b.str,3,2),count(b.name) as count
    from `table_name` b 
    group by b.id

#統計人數，按照用戶去重
select count(distinct(a.id))
        from `table_name` a
#根據數字排序
order by cast(a.number as INT)
#正則匹配多條件
where a.str regexp ‘^\\$\\_01\\_(?!0\\01|0\\_00|0\\_11).+‘

HUE-hive常用查詢語句整理