[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] [row format row_format] [stored as file_format] [location hdfs_path] 说明: 1、CREATE TABLE 创建一个指...
clustered by(country_code) into 5 buckets -- country_code就是MapReduce分区中K2 row format delimited fields terminated by ','; -- 5、查询普通表给分桶表加载数据 insert overwrite table t_covid_bucket select * from t_covid_common cluster by(country_code); -- 可以在SQL的前边加上explain,查看...
namestring)partitioned by (stat_datestring) clustered by (id) sorted by(age) into 2bucketrow format delimited fields terminated by','; 分区中的数据可以被进一步拆分成桶!!!正确理解 所有,桶,先partitioned by (stat_date string),再,clustered by (id) sorted by(age) into 2 bucket 3、设置环境...
GROUP BY语句主要是对查询的数据进行分组,通常会和聚合函数一起使用,如下所示: hive (hypers)> select sex,avg(age) from student group by sex; OK sex _c1 0 19.666666666666668 1 20.666666666666668 HAVING语句 HAVING语句主要用来对GROUP BY语句的结果进行条件限制,如下所示: ...
5CLUSTERED BY ... SORTED BY...INTO ... BUCKETS(重点) 创建分桶表 6ROW FORMAT(重点) 指定SERDE,SERDE是Serializer and Deserializer的简写。Hive使用SERDE序列化和反序列化每行数据。详情可参考 Hive-Serde。语法说明如下: 语法一:DELIMITED关键字表示对文件中的每个字段按照特定分割符进行分割,其会使用默认...
[CLUSTEREDBY(col_name,col_name,...)[SORTEDBY(col_name[ASC|DESC],...)]INTOnum_bucketsBUCKETS][SKEWEDBY(col_name,col_name,...)--(Note:AvailableinHive0.10.0and later)]ON((col_value,col_value,...),(col_value,col_value,...),...)[STOREDASDIRECTORIES][[ROWFORMATrow_format][STORE...
CLUSTERED BY(userid) SORTED BY(viewTime) INTO 32 BUCKETS ROW FORMAT DELIMITED ‘\t’ FIELDS TERMINATED BY '\n' STORED AS SEQUENCEFILE; 创建表并创建索引字段ds hive> CREATE TABLE invites (foo INT, bar STRING) PARTITIONED BY (ds STRING); ...
CLUSTEREDBY(userid)SORTEDBY(viewTime)INTO32BUCKETS ROWFORMATDELIMITED FIELDSTERMINATEDBY\001 COLLECTIONITEMSTERMINATEDBY\002 MAPKEYSTERMINATEDBY\003 STOREDASSEQUENCEFILE; Eg: 建表: CREATETABLEc02_clickstat_fatdt1 (yyyymmddstring, idINT, ipstring, ...
CREATE TABLE table_name ( id int, name string ) CLUSTERED BY (id) INTO 2 BUCKETS STORED AS ORC TBLPROPERTIES ("transactional"="true", "compactor.mapreduce.map.memory.mb"="2048", -- 指定紧缩map作业的属性 "compactorthreshold.hive.compactor.delta.num.threshold"="4", -- 如果有超过4个增量...
clustered by(id) sorted by(id) into 6 buckets row format delimited fields terminated by '\t'; load data local inpath '/opt/module/hive/datas/bigtable' into table bigtable_buck1; (3)创建分通表2,桶的个数不要超过可用CPU的核数