Skip to main content

CREATE TABLE AS SELECT

Description

This statement creates the table structure by returning the results from the Select statement and imports the data at the same time

grammar:

CREATE TABLE table_name [( column_name_list )]
opt_engine:engineName
opt_keys:keys
opt_comment:tableComment
opt_partition:partition
opt_distribution:distribution
opt_rollup:index
opt_properties:tblProperties
opt_ext_properties:extProperties
KW_AS query_stmt:query_def

illustrate:

  • The user needs to haveSELECTpermission for the source table andCREATEpermission for the target database
  • After a table is created, data is imported. If the import fails, the table is deleted
  • You can specify the key type. The default key type is Duplicate Key
Tips

This feature is supported since the Apache Doris 1.2 version

  • All columns of type string (varchar/var/string) are created as type "string".
  • If the created source is an external table and the first column is of type String, the first column is automatically set to VARCHAR(65533). Because of Doris internal table, String column is not allowed as first column.

Examples

  1. Using the field names in the SELECT statement

    create table `test`.`select_varchar` 
    PROPERTIES("replication_num" = "1")
    as select * from `test`.`varchar_table`
  2. Custom field names (need to match the number of fields returned)

    create table `test`.`select_name`(user, testname, userstatus) 
    PROPERTIES("replication_num" = "1")
    as select vt.userId, vt.username, jt.status
    from `test`.`varchar_table` vt join
    `test`.`join_table` jt on vt.userId=jt.userId
  3. Specify table model, partitions, and buckets

    CREATE TABLE t_user(dt, id, name)
    ENGINE=OLAP
    UNIQUE KEY(dt, id)
    COMMENT "OLAP"
    PARTITION BY RANGE(dt)
    (
    FROM ("2020-01-01") TO ("2021-12-31") INTERVAL 1 YEAR
    )
    DISTRIBUTED BY HASH(id) BUCKETS 1
    PROPERTIES("replication_num"="1")
    AS SELECT cast('2020-05-20' as date) as dt, 1 as id, 'Tom' as name;

Keywords

CREATE, TABLE, AS, SELECT

Best Practice