3.1 创建分区表 使用Hive SQL语句创建一个分区表,通过partitioned by指定分区字段。以下是一个示例代码: CREATETABLEpartitioned_table(idINT,name STRING)PARTITIONEDBY(dateSTRING) 1. 2. 3. 4. 5. 3.2 加载数据 将数据加载到分区表中,数据会根据指定的分区字段
CREATE [EXTERNAL] TABLE [IF NOT EXISTS] table_name // 定义字段名,字段类型 [(col_name data_type [COMMENT col_comment], ...)] // 给表加上注解 [COMMENT table_comment] // 分区 [PARTITIONED BY (col_name data_type [COMMENT col_comment], ...)] // 分桶 [CLUSTERED BY (col_name, c...
还可以使用PARTITION子句直接指定分区。 此语法也适用于不使用 Delta Lake 格式的表,可以通过使用ALTER TABLE语句快速对DROP、ADD或RENAME进行分区。 由...分区 PARTITIONED BY子句指定了新表分区依据列的列表。 语法 复制 PARTITIONED BY ( { partition_column [ column_type ] } [, ...] ) ...
想要创建带分区的表的话,(由于我太菜)只能先create table再把字段列上&分区打上,再insert到表里。 问题:有没有直接能create table as 并且顺便partition by的sql语句呢? 根据大佬@范捷琦Jackie 尝试过 create table B as( select * from A ) partitioned by (item_a string) 编译报错FAILED: ParseException ...
3、分区是以字段的形式在表结构中存在,通过describe table命令可以查看到字段存在,但是该字段不存放实际的数据内容,仅仅是分区的表示。 4、建表的语法(建分区可参见PARTITIONED BY参数): CREATE [EXTERNAL] TABLE [IF NOT EXISTS] table_name [(col_name data_type [COMMENT col_comment], ...)] [COMMENT ta...
create table if not exists banning( train_id string comment '培训id', dri_id string comment '司机id' ) partitioned by(dt string) row format delimited fields terminated by '\t' stored as textfile; select pag_id, tag_name from (
PARTITION SYSTEM_DATACHANGETRACE_N_N201806 VALUES LESS THAN (TO_DATE('2019-06-01 00:00:00','yyyy/mm/dd hh24:mi:ss')) TABLESPACE SYSTEMT ); CREATE INDEX "SYSTEMUSER"."ISYSTEM_DATACHANGETRACE_N" ON "SYSTEMUSER"."SYSTEM_DATACHANGETRACE_N" ("SOURCEID", "SOURCETYPE") ...
Hive格式使用 CREATE TABLE 2025/03/31 適用於:Databricks Runtime 使用Hive格式定義資料表。 語法 SQL複製 CREATE[EXTERNAL]TABLE[IFNOTEXISTS] table_identifier [ ( col_name1[:] col_type1 [COMMENTcol_comment1 ], ... ) ] [COMMENTtable_comment ] [ PARTITIONEDBY( col_nam...
Specifies that the table is to be partitioned by growth, every integer G bytes. integer must not be greater than 256. If the IN clause identifies a table space, integer must be the same as the DSSIZE value that is in effect for the table space that will contain the table. organization...
`[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...