CLUSTERED BY:表示创建分桶表,还可以在分桶列上进行SORTED BY排序 SKEWED BY:对某些列进行数据倾斜处理,注意:Hive 0.10.0 版本开始支持 row_format:行数据格式 DELIMITED:指定数据文件中的分隔符(默认单字节),例如逗号、制表符、空格等等,默认的分隔符为\001 FIELDS TERMINATED BY char :指定字段(列)之间的分隔符...
CREATE [EXTERNAL] TABLE [IF NOT EXISTS] table_name [(col_name data_type [COMMENT col_comment], ...)] [COMMENT table_comment] [PARTITIONED BY (col_name data_type [COMMENT col_comment], ...)] [CLUSTERED BY (col_name, col_name, ...) [SORTED BY (col_name [ASC|DESC], ...)] ...
hive> create table t (id structid1:int,id2:int,id3:int,name array,xx map<int,string>) row format delimited fields terminated by ‘\t’ lines terminated by ‘\n’ collection items terminated by ‘,’ map keys terminated by ‘:’; FAILED: ParseException line 5:0 missing EOF at ‘colle...
数据最终落在哪一个桶里,取决于 clustered by 的那个列的值的 hash 数与桶的个数求余来决定。虽然有一定离散性,但不能保证每个桶中的数据量是一样的。 create table music2( id int, name string, size float ) partitioned by(date string) clustered by(id) sorted by(size) into 4 bucket row forma...
CREATE TABLE emp_ts( empno int, ename String ) CLUSTERED BY (empno) INTO 2 BUCKETS STORED AS ORCTBLPROPERTIES ("transactional"="true");3. 插入测试数据 INSERT INTO TABLE emp_ts VALUES (1,"ming"),(2,"hong");插入数据依靠的是 MapReduce 作业，执行成功后数据如下：4. 测试更新和...
CREATE[TEMPORARY][EXTERNAL]TABLE[IFNOTEXISTS][db_name.]table_name[(col_name data_type[column_constraint_specification][COMMENTcol_comment],...[constraint_specification])][COMMENTtable_comment][PARTITIONEDBY(col_name data_type[COMMENTcol_comment],...)][CLUSTEREDBY(col_name,col_name,...)[SORTED...
('40', 'OPERATIONS', 'BOSTON'); -- Create table create table EMP ( empno INT, ename VARCHAR(10), job VARCHAR(9), mgr INT, hiredate DATE, sal decimal(7,2), comm decimal(7,2), deptno INT ) ; insert into EMP(empno, ename, job, mgr, hiredate, sal, comm, deptno) values ('...
[clustered by (col_name, col_name, ...) [sorted by (col_name [asc|desc], ...)] into num_buckets buckets] [row format row_format] [stored as file_format] [location hdfs_path] 说明: 1、CREATE TABLE 创建一个指定名字的表。如果相同名字的表已经存在,则抛出异常;用户可以用 IF NOT EXIST...
create external table student_ext( num int, name string, sex string, age int, dept string) row format delimited fields terminated by ',' location '/hivetest/stent_ext'; DESC FORMATTED test.student_ext; 0: jdbc:hive2://server4:10000> select * from student_ext; INFO : Compiling command...
[COMMENT table_comment] [PARTITIONED BY (col_name data_type [COMMENT col_comment], ...)] [CLUSTERED BY (col_name, col_name, ...) [SORTED BY (col_name [ASC|DESC], ...)] INTO num_buckets BUCKETS] [SKEWED BY (col_name, col_name, ...) -- (Note: Available in Hive 0.10.0 ...