1. select * from a left join b on a.id = b.id and a.dt=20181115; 2. select * from a left join b on a.id = b.id and b.dt=20181115; 3. select * from a join b on a.id = b.id and a.dt=20181115; 4. select * from a left join b on a.id = b.id where a.dt=201
hive的多表连接,都会转换成多个MR job,每一个MR job在hive中均称为Join阶段.按照join程序最后一个表应该尽量是大表,因为join前一阶段生成的数据会存在于Reducer 的buffer中,通过stream最后面的表,直接从Reducer中读取已经缓冲的中间数据结果,与后面的大表进行连接时,只需要从buffer中读取缓存的key,与大表中的指定key进行连接,速度更快,也避免内存缓冲区溢出. SELECT a.val, b.val, c.val FROM a JOIN b
Select a.val,b.val From a [Left|Right|Full Outer] Join b On (a.key==b.key); 现有两张表:sales 列出了人名及其所购商品的 ID:things 列出商品的 ID 和名称: hive> select * from sales; OK Joe Hank Ali Eve Hank Time taken: row(s) hive> select * from things; OK Tie Coat Hat Scarf Tim
Hive 的 JOIN 用法 hive只支持等连接,外连接,左半连接.hive不支持非相等的join条件(通过其他方式实现,如left outer join),因为它很难在map/reduce中实现这样的条件.而且,hive可以join两个以上的表. 1.等连接 只有等连接才允许 hive> SELECT a.* FROM a JOIN b ON (a.id = b.id); hive> SELECT a.* FROM a JOIN b ON (a.id = b.id AND a.depart
HIVE Map Join is nothing but the extended version of Hash Join of SQL Server - just extending Hash Join into Distributed System. SMB(Sort Merge Bucket) Join is also similar to the SQL Server Merge Join mechnism - just extending it into Distributed S
https://blog.csdn.net/skywalker_only/article/details/38752003 条件函数 下表为Hive支持的一些条件函数. 返回类型 函数名 描述 T if(boolean testCondition, T valueTrue, T valueFalseOrNull) 如果testCondition为真,返回valueTrue,否则返回valueFalseOrNull T COALESCE(T v1, T v2, ...) 返回第一个不是NULL的v
Join Optimization Join Optimization Improvements to the Hive Optimizer Star Join Optimization Star Schema Example Prior Support for MAPJOIN Limitations of Prior Implementation Enhancements for Star Joins Optimize Chains of Map Joins Current and Futur