hive：排序分析函数

基本排序函数

语法：

rank()over([partition by col1] order by col2)
dense_rank()over([partition by col1] order by col2)
row_number()over([partition by col1] order by col2)

其中[partition by col1]可省略

案例：

selectname,score,rank() over(partition by name order by score) tt from t;
selectname,score,dense_rank() over(partition by name order by score) tt from t;
selectname,score,row_number() over(partition by name order by score) tt from t;
select name,score,rank()over(order by score) tt from t;
前三名
 select name,score from (selectname,score,dense_rank() over(partition by name order by score desc) tt from t)x where x.tt<=3;
分数为70的排第几
 select name,score,x.tt from (selectname,score,rank() over(partition by name order by score desc) tt from t) xwhere x.name='语文' and x.score=70;
分页查询
 select xx.* from (select t.*,row_number()over(order by score desc) rowno from t) xx where xx.rowno between 1 and 3;
实际案例：
insert overwritetable otheravgrank_amt select substr(bus_inst_no,0,5),xt_op_trl,canal,sa_tx_dt,dr_cr_cod,cr_tx_amt,f_fare,counts,count(bus_inst_no),dense_rank()over (order by cr_tx_amt desc) as cr_tx_amt_rank,dense_rank() over (order byf_fare desc) as f_fare_rank,dense_rank() over (order by counts desc) as counts_rankfrom branch_amt group bysubstr(bus_inst_no,0,5),xt_op_trl,canal,sa_tx_dt,dr_cr_cod,cr_tx_amt,f_fare,counts;
insert overwritetable denserank_amt selectbus_inst_no,xt_op_trl,canal,sa_tx_dt,dr_cr_cod,cr_tx_amt,f_fare,counts,count(bus_inst_no),dense_rank()over (partition by bus_inst_no order by cr_tx_amt desc) ascr_tx_amt_rank,dense_rank() over (partition by bus_inst_no order by f_faredesc) as f_fare_rank,dense_rank() over (partition by bus_inst_no order bycounts desc) as counts_rank from otheravgrank_amt group bybus_inst_no,xt_op_trl,canal,sa_tx_dt,dr_cr_cod,cr_tx_amt,f_fare,counts;
insert overwritetable denserank_amt select * from denserank_amt sort by bus_inst_no;

　

普及一下:

rank/dense_rank/row_number区别

row_number函数返回一个唯一的值，当碰到相同数据时，排名按照记录集中记录的顺序依次递增。

rank函数会返回数据项在分组中的排名，排名相等会在名次中留下空位

dense_rank返回数据项在分组中的排名，排名相等会在名次中不会留下空位

更详细介绍可参考这里

REGION_ID CUSTOMER_ID      TOTAL       RANK DENSE_RANK ROW_NUMBER-------------       

5           2                 1224992         12         12         12     

  9          23                1224992         12         12         13     

9          24                1224992         12         12         14      

10          30               1216858         15           13            15

排序函数进阶

percent_rank 百分比排序函数

计算公式为：PERCENT_RANK() = (RANK() – 1) / (Total Rows – 1)

其中，RANK() 表示当前行基于ORDER BY后所跟字段的排名，而Total Rows 是当前行所在分区的总行数。

·         Hive-0.12.0中内置的分析函数，参考oracle用法

·                       org.apache.hadoop.hive.ql.exe.FunctionRegistry              
·                       registerHiveUDAFsAsWindowFunctions();
·                       registerWindowFunction("row_number", newGenericUDAFRowNumber());  --row_number实现类
·                       registerWindowFunction("rank", new GenericUDAFRank());
·                       registerWindowFunction("dense_rank", new GenericUDAFDenseRank());
·                       registerWindowFunction("percent_rank", newGenericUDAFPercentRank());
·                       registerWindowFunction("cume_dist", new GenericUDAFCumeDist());
·                       registerWindowFunction("ntile", new GenericUDAFNTile());
·                       registerWindowFunction("first_value", new GenericUDAFFirstValue());
·                       registerWindowFunction("last_value", newGenericUDAFLastValue());
·                       registerWindowFunction(LEAD_FUNC_NAME, new GenericUDAFLead(), false);
registerWindowFunction(LAG_FUNC_NAME,new GenericUDAFLag(), false);

实例：

SELECT DepartmentID, Surname,Salary, Sex,
    PERCENT_RANK( ) OVER ( PARTITION BY Sex
      ORDER BY Salary DESC ) AS PctRank
 FROM Employees
 WHERE State IN ( 'NY' );

　　由于按性别 (Sex) 划分输入，所以分别对男雇员和女雇员执行PERCENT_RANK 计算。