CREATE TABLE

description

This statement is used to create table Syntax:

    CREATE [EXTERNAL] TABLE [IF NOT EXISTS] [database.]table_name
    (column_definition1[, column_definition2, ...]
    [, index_definition1[, ndex_definition12,]])
    [ENGINE = [olap|mysql|broker|hive]]
    [key_desc]
    [COMMENT "table comment"]
    [partition_desc]
    [distribution_desc]
    [rollup_index]
    [PROPERTIES ("key"="value", ...)]
    [BROKER PROPERTIES ("key"="value", ...)];

1. column_definition Syntax: col_name col_type [agg_type] [NULL | NOT NULL] [DEFAULT "default_value"] Explain: col_name: Name of column col_type: Type of column

       TINYINT(1 Byte)
           Range: -2^7 + 1 ~ 2^7 - 1
       SMALLINT(2 Bytes)
           Range: -2^15 + 1 ~ 2^15 - 1
       INT(4 Bytes)
           Range: -2^31 + 1 ~ 2^31 - 1
       BIGINT(8 Bytes)
           Range: -2^63 + 1 ~ 2^63 - 1
       LARGEINT(16 Bytes)
           Range: -2^127 + 1 ~ 2^127 - 1
       FLOAT(4 Bytes)
           Support scientific notation
       DOUBLE(8 Bytes)
           Support scientific notation
       DECIMAL[(precision, scale)] (16 Bytes)
           Default is DECIMAL(10, 0)
           precision: 1 ~ 27
           scale: 0 ~ 9
           integer part: 1 ~ 18
           fractional part: 0 ~ 9
           Not support scientific notation
       DATE(3 Bytes)
           Range: 0000-01-01 ~ 9999-12-31
       DATETIME(8 Bytes)
           Range: 0000-01-01 00:00:00 ~ 9999-12-31 23:59:59
       CHAR[(length)]
           Fixed length string. Range: 1 ~ 255. Default: 1
       VARCHAR[(length)]
           Variable length string. Range: 1 ~ 65533
       HLL (1~16385 Bytes)
           HLL tpye, No need to specify length.
           This type can only be queried by hll_union_agg, hll_cardinality, hll_hash functions.
       BITMAP
           BITMAP type, No need to specify length. Represent a set of unsigned bigint numbers, the largest element could be 2^64 - 1

   agg_type: Aggregation type. If not specified, the column is key column. Otherwise, the column is value column. * SUM、MAX、MIN、REPLACE * HLL_UNION: Only for HLL type * REPLACE_IF_NOT_NULL: The meaning of this aggregation type is that substitution will occur if and only if the newly imported data is a non-null value. If the newly imported data is null, Doris will still retain the original value. Note: if NOT NULL is specified in the REPLACE_IF_NOT_NULL column when the user creates the table, Doris will convert it to NULL and will not report an error to the user. Users can leverage this aggregate type to achieve importing some of columns. * BITMAP_UNION: Only for BITMAP type Allow NULL: Default is NOT NULL. NULL value should be represented as \N in load source file. Notice:

    The origin value of BITMAP_UNION column should be TINYINT, SMALLINT, INT, BIGINT.

2. index_definition Syntax: INDEX index_name (col_name[, col_name, ...]) [USING BITMAP] COMMENT 'xxxxxx' Explain: index_name：index name col_name：column name Notice: Only support BITMAP index in current version, BITMAP can only apply to single column

3. ENGINE type Default is olap. Options are: olap, mysql, broker, hive

   1. For mysql, properties should include:

      PROPERTIES (
          "host" = "mysql_server_host",
          "port" = "mysql_server_port",
          "user" = "your_user_name",
          "password" = "your_password",
          "database" = "database_name",
          "table" = "table_name"
      )

   Notice: “table_name” is the real table name in MySQL database. table_name in CREATE TABLE stmt is table is Doris. They can be different or same. MySQL table created in Doris is for accessing data in MySQL database. Doris does not maintain and store any data from MySQL table. 2) For broker, properties should include:

   PROPERTIES (

    "broker_name" = "broker_name",
    "path" = "file_path1[,file_path2]",
    "column_separator" = "value_separator"
    "line_delimiter" = "value_delimiter"

   )

   BROKER PROPERTIES(

    "username" = "name",
    "password" = "password"

   )

    For different broker, the broker properties are different

   Notice: Files name in “path” is separated by “,”. If file name includes “,”, use “%2c” instead. If file name includes “%”, use “%25” instead. Support CSV and Parquet. Support GZ, BZ2, LZ4, LZO(LZOP) 3) For hive, properties should include: PROPERTIES ( "database" = "hive_db_name", "table" = "hive_table_name", "hive.metastore.uris" = "thrift://127.0.0.1:9083" ) “database” is the name of the database corresponding to the hive table, “table” is the name of the hive table, and “hive.metastore.uris” is the hive metastore service address. Notice: At present, hive external tables are only used for Spark Load and query is not supported.

4. key_desc Syntax: key_type(k1[,k2 …]) Explain: Data is order by specified key columns. And has different behaviors for different key desc. AGGREGATE KEY: value columns will be aggregated is key columns are same. UNIQUE KEY: The new incoming rows will replace the old rows if key columns are same. DUPLICATE KEY: All incoming rows will be saved. the default key_type is DUPLICATE KEY, and key columns are first 36 bytes of the columns in define order. If the number of columns in the first 36 is less than 3, the first 3 columns will be used. NOTICE: Except for AGGREGATE KEY, no need to specify aggregation type for value columns.

5. partition_desc Partition has two ways to use:

   1. LESS THAN Syntax:

      PARTITION BY RANGE (k1, k2, ...)
      (
      PARTITION partition_name1 VALUES LESS THAN MAXVALUE|("value1", "value2", ...),
      PARTITION partition_name2 VALUES LESS THAN MAXVALUE|("value1", "value2", ...)
      ...
      )

   Explain: 1) Partition name only support [A-z0-9_] 2) Partition key column’s type should be: TINYINT, SMALLINT, INT, BIGINT, LARGEINT, DATE, DATETIME 3) The range is [closed, open). And the lower bound of first partition is MIN VALUE of specified column type. 4) NULL values should be save in partition which includes MIN VALUE. 5) Support multi partition columns, the the default partition value is MIN VALUE. 2）Fixed Range Syntax: PARTITION BY RANGE (k1, k2, k3, ...) ( PARTITION partition_name1 VALUES [("k1-lower1", "k2-lower1", "k3-lower1",...), ("k1-upper1", "k2-upper1", "k3-upper1", ...)), PARTITION partition_name2 VALUES [("k1-lower1-2", "k2-lower1-2", ...), ("k1-upper1-2", MAXVALUE, )) "k3-upper1-2", ... ) Explain: 1）The Fixed Range is more flexible than the LESS THAN, and the left and right intervals are completely determined by the user. 2）Others are consistent with LESS THAN.

6. distribution_desc

   1. Hash Syntax: DISTRIBUTED BY HASH (k1[,k2 ...]) [BUCKETS num] Explain: The default buckets is 10.

7. PROPERTIES

   1. If ENGINE type is olap. User can specify storage medium, cooldown time and replication number:

      PROPERTIES (
          "storage_medium" = "[SSD|HDD]",
          ["storage_cooldown_time" = "yyyy-MM-dd HH:mm:ss"],
          ["replication_num" = "3"]
          )

      storage_medium: SSD or HDD, The default initial storage media can be specified by default_storage_medium= XXX in the fe configuration file fe.conf, or, if not, by default, HDD. Note: when FE configuration ‘enable_strict_storage_medium_check’ is’ True ‘, if the corresponding storage medium is not set in the cluster, the construction clause ‘Failed to find enough host in all backends with storage medium is SSD|HDD’. storage_cooldown_time: If storage_medium is SSD, data will be automatically moved to HDD when timeout. Default is 30 days. Format: “yyyy-MM-dd HH:mm:ss” replication_num: Replication number of a partition. Default is 3. If table is not range partitions. This property takes on Table level. Or it will takes on Partition level. User can specify different properties for different partition by ADD PARTITION or MODIFY PARTITION statements.

   2. If Engine type is olap, user can set bloom filter index for column. Bloom filter index will be used when query contains IN or EQUAL. Bloom filter index support key columns with type except TINYINT FLOAT DOUBLE, also support value with REPLACE aggregation type.

      PROPERTIES (
          "bloom_filter_columns"="k1,k2,k3"
      )

   3. For Colocation Join:

      PROPERTIES (
          "colocate_with"="table1"
      )

   4. if you want to use the dynamic partitioning feature, specify it in properties

      PROPERTIES (
          "dynamic_partition.enable" = "true|false",
          "dynamic_partition.time_unit" = "HOUR|DAY|WEEK|MONTH",
          "dynamic_partitoin.end" = "${integer_value}",
          "dynamic_partition.prefix" = "${string_value}",
          "dynamic_partition.buckets" = "${integer_value}
      )

      Dynamic_partition. Enable: specifies whether dynamic partitioning at the table level is enabled

      Dynamic_partition. Time_unit: used to specify the time unit for dynamically adding partitions, which can be selected as HOUR, DAY, WEEK, and MONTH. Attention: When the time unit is HOUR, the data type of partition column cannot be DATE.

      Dynamic_partition. End: used to specify the number of partitions created in advance

      Dynamic_partition. Prefix: used to specify the partition name prefix to be created, such as the partition name prefix p, automatically creates the partition name p20200108

      Dynamic_partition. Buckets: specifies the number of partition buckets that are automatically created

8. rollup_index grammar:

     ROLLUP (rollup_name (column_name1, column_name2, ...)
                    [FROM from_index_name]
                     [PROPERTIES ("key"="value", ...)],...)

   1. if you want to use the inmemory table feature, specify it in properties

      PROPERTIES (
         "in_memory"="true"
      )

example

1. Create an olap table, distributed by hash, with aggregation type.

   CREATE TABLE example_db.table_hash
   (
   k1 TINYINT,
   k2 DECIMAL(10, 2) DEFAULT "10.5",
   v1 CHAR(10) REPLACE,
   v2 INT SUM
   )
   ENGINE=olap
   AGGREGATE KEY(k1, k2)
   COMMENT "my first doris table"
   DISTRIBUTED BY HASH(k1) BUCKETS 32
   PROPERTIES ("storage_type"="column");

2. Create an olap table, distributed by hash, with aggregation type. Also set storage medium and cooldown time.

   CREATE TABLE example_db.table_hash
   (
   k1 BIGINT,
   k2 LARGEINT,
   v1 VARCHAR(2048) REPLACE,
   v2 SMALLINT SUM DEFAULT "10"
   )
   ENGINE=olap
   UNIQUE KEY(k1, k2)
   DISTRIBUTED BY HASH (k1, k2) BUCKETS 32
   PROPERTIES(
   "storage_type"="column",
   "storage_medium" = "SSD",
   "storage_cooldown_time" = "2015-06-04 00:00:00"
   );

3. Create an olap table, with range partitioned, distributed by hash.

4. LESS THAN

   CREATE TABLE example_db.table_range
   (
   k1 DATE,
   k2 INT,
   k3 SMALLINT,
   v1 VARCHAR(2048),
   v2 DATETIME DEFAULT "2014-02-04 15:36:00"
   )
   ENGINE=olap
   DUPLICATE KEY(k1, k2, k3)
   PARTITION BY RANGE (k1)
   (
   PARTITION p1 VALUES LESS THAN ("2014-01-01"),
   PARTITION p2 VALUES LESS THAN ("2014-06-01"),
   PARTITION p3 VALUES LESS THAN ("2014-12-01")
   )
   DISTRIBUTED BY HASH(k2) BUCKETS 32
   PROPERTIES(
   "storage_medium" = "SSD", "storage_cooldown_time" = "2015-06-04 00:00:00"
   );

   Explain: This statement will create 3 partitions:

   ( {    MIN     },   {"2014-01-01"} )
   [ {"2014-01-01"},   {"2014-06-01"} )
   [ {"2014-06-01"},   {"2014-12-01"} )

   Data outside these ranges will not be loaded.

5. Fixed Range CREATE TABLE table_range ( k1 DATE, k2 INT, k3 SMALLINT, v1 VARCHAR(2048), v2 DATETIME DEFAULT “2014-02-04 15:36:00” ) ENGINE=olap DUPLICATE KEY(k1, k2, k3) PARTITION BY RANGE (k1, k2, k3) ( PARTITION p1 VALUES [(“2014-01-01”, “10”, “200”), (“2014-01-01”, “20”, “300”)), PARTITION p2 VALUES [(“2014-06-01”, “100”, “200”), (“2014-07-01”, “100”, “300”)) ) DISTRIBUTED BY HASH(k2) BUCKETS 32 PROPERTIES( “storage_medium” = “SSD” );

6. Create a mysql table 4.1 Create MySQL table directly from external table information

    CREATE EXTERNAL TABLE example_db.table_mysql
    (
    k1 DATE,
    k2 INT,
    k3 SMALLINT,
    k4 VARCHAR(2048),
    k5 DATETIME
    )
    ENGINE=mysql
    PROPERTIES
    (
    "host" = "127.0.0.1",
    "port" = "8239",
    "user" = "mysql_user",
    "password" = "mysql_passwd",
    "database" = "mysql_db_test",
    "table" = "mysql_table_test"
    )

4.2 Create MySQL table with external ODBC catalog resource

   CREATE EXTERNAL RESOURCE "mysql_resource" 
   PROPERTIES
   (
     "type" = "odbc_catalog",
     "user" = "mysql_user",
     "password" = "mysql_passwd",
     "host" = "127.0.0.1",
     "port" = "8239"            
   );

    CREATE EXTERNAL TABLE example_db.table_mysql
    (
    k1 DATE,
    k2 INT,
    k3 SMALLINT,
    k4 VARCHAR(2048),
    k5 DATETIME
    )
    ENGINE=mysql
    PROPERTIES
    (
    "odbc_catalog_resource" = "mysql_resource",
    "database" = "mysql_db_test",
    "table" = "mysql_table_test"
    )

1. Create a broker table, with file on HDFS, line delimit by “|”, column separated by “\n”

   CREATE EXTERNAL TABLE example_db.table_broker (
   k1 DATE,
   k2 INT,
   k3 SMALLINT,
   k4 VARCHAR(2048),
   k5 DATETIME
   )
   ENGINE=broker
   PROPERTIES (
   "broker_name" = "hdfs",
   "path" = "hdfs://hdfs_host:hdfs_port/data1,hdfs://hdfs_host:hdfs_port/data2,hdfs://hdfs_host:hdfs_port/data3%2c4",
   "column_separator" = "|",
   "line_delimiter" = "\n"
   )
   BROKER PROPERTIES (
   "username" = "hdfs_user",
   "password" = "hdfs_password"
   );

2. Create table will HLL column

   CREATE TABLE example_db.example_table
   (
   k1 TINYINT,
   k2 DECIMAL(10, 2) DEFAULT "10.5",
   v1 HLL HLL_UNION,
   v2 HLL HLL_UNION
   )
   ENGINE=olap
   AGGREGATE KEY(k1, k2)
   DISTRIBUTED BY HASH(k1) BUCKETS 32;

3. Create a table will BITMAP_UNION column

   CREATE TABLE example_db.example_table
   (
   k1 TINYINT,
   k2 DECIMAL(10, 2) DEFAULT "10.5",
   v1 BITMAP BITMAP_UNION,
   v2 BITMAP BITMAP_UNION
   )
   ENGINE=olap
   AGGREGATE KEY(k1, k2)
   DISTRIBUTED BY HASH(k1) BUCKETS 32;

4. Create 2 colocate join table.

   CREATE TABLE `t1` (
   `id` int(11) COMMENT "",
   `value` varchar(8) COMMENT ""
   ) ENGINE=OLAP
   DUPLICATE KEY(`id`)
   DISTRIBUTED BY HASH(`id`) BUCKETS 10
   PROPERTIES (
   "colocate_with" = "group1"
   );
   CREATE TABLE `t2` (
   `id` int(11) COMMENT "",
   `value` varchar(8) COMMENT ""
   ) ENGINE=OLAP
   DUPLICATE KEY(`id`)
   DISTRIBUTED BY HASH(`id`) BUCKETS 10
   PROPERTIES (
   "colocate_with" = "group1"
   );

5. Create a broker table, with file on BOS.

   CREATE EXTERNAL TABLE example_db.table_broker (
   k1 DATE
   )
   ENGINE=broker
   PROPERTIES (
   "broker_name" = "bos",
   "path" = "bos://my_bucket/input/file",
   )
   BROKER PROPERTIES (
     "bos_endpoint" = "http://bj.bcebos.com",
     "bos_accesskey" = "xxxxxxxxxxxxxxxxxxxxxxxxxx",
     "bos_secret_accesskey"="yyyyyyyyyyyyyyyyyyyy"
   );

6. Create a table with a bitmap index

   CREATE TABLE example_db.table_hash
   (
   k1 TINYINT,
   k2 DECIMAL(10, 2) DEFAULT "10.5",
   v1 CHAR(10) REPLACE,
   v2 INT SUM,
   INDEX k1_idx (k1) USING BITMAP COMMENT 'xxxxxx'
   )
   ENGINE=olap
   AGGREGATE KEY(k1, k2)
   COMMENT "my first doris table"
   DISTRIBUTED BY HASH(k1) BUCKETS 32
   PROPERTIES ("storage_type"="column");

7. Create a dynamic partitioning table (dynamic partitioning needs to be enabled in FE configuration), which creates partitions 3 days in advance every day. For example, if today is’ 2020-01-08 ‘, partitions named ‘p20200108’, ‘p20200109’, ‘p20200110’, ‘p20200111’ will be created.

   [types: [DATE]; keys: [2020-01-08]; ‥types: [DATE]; keys: [2020-01-09]; )
   [types: [DATE]; keys: [2020-01-09]; ‥types: [DATE]; keys: [2020-01-10]; )
   [types: [DATE]; keys: [2020-01-10]; ‥types: [DATE]; keys: [2020-01-11]; )
   [types: [DATE]; keys: [2020-01-11]; ‥types: [DATE]; keys: [2020-01-12]; )

     CREATE TABLE example_db.dynamic_partition
     (
     k1 DATE,
     k2 INT,
     k3 SMALLINT,
     v1 VARCHAR(2048),
     v2 DATETIME DEFAULT "2014-02-04 15:36:00"
     )
     ENGINE=olap
     DUPLICATE KEY(k1, k2, k3)
     PARTITION BY RANGE (k1)
     (
     PARTITION p1 VALUES LESS THAN ("2014-01-01"),
     PARTITION p2 VALUES LESS THAN ("2014-06-01"),
     PARTITION p3 VALUES LESS THAN ("2014-12-01")
     )
     DISTRIBUTED BY HASH(k2) BUCKETS 32
     PROPERTIES(
     "storage_medium" = "SSD",
     "dynamic_partition.time_unit" = "DAY",
     "dynamic_partition.end" = "3",
     "dynamic_partition.prefix" = "p",
     "dynamic_partition.buckets" = "32"
      );

8. Create a table with rollup index

    CREATE TABLE example_db.rolup_index_table
    (
        event_day DATE,
        siteid INT DEFAULT '10',
        citycode SMALLINT,
        username VARCHAR(32) DEFAULT '',
        pv BIGINT SUM DEFAULT '0'
    )
    AGGREGATE KEY(event_day, siteid, citycode, username)
    DISTRIBUTED BY HASH(siteid) BUCKETS 10
    rollup (
    r1(event_day,siteid),
    r2(event_day,citycode),
    r3(event_day)
    )
    PROPERTIES("replication_num" = "3");

1. Create a inmemory table:

    CREATE TABLE example_db.table_hash
    (
    k1 TINYINT,
    k2 DECIMAL(10, 2) DEFAULT "10.5",
    v1 CHAR(10) REPLACE,
    v2 INT SUM,
    INDEX k1_idx (k1) USING BITMAP COMMENT 'xxxxxx'
    )
    ENGINE=olap
    AGGREGATE KEY(k1, k2)
    COMMENT "my first doris table"
    DISTRIBUTED BY HASH(k1) BUCKETS 32
    PROPERTIES ("in_memory"="true");

1. Create a hive external table

    CREATE TABLE example_db.table_hive
    (
      k1 TINYINT,
      k2 VARCHAR(50),
      v INT
    )
    ENGINE=hive
    PROPERTIES
    (
      "database" = "hive_db_name",
      "table" = "hive_table_name",
      "hive.metastore.uris" = "thrift://127.0.0.1:9083"
    );

keyword

CREATE,TABLE