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Basic Data Types

Updated on 2022-07-29 GMT+08:00

Overview

MySQL supports a number of basic data types, including numeric, date/time, string (character), LOB, set, binary, and Boolean types. GaussDB(DWS) does not support some basic MySQL data types, precision settings of some MySQL data types, or some MySQL keywords such as UNSIGNED and ZEROFILL. DSC performs migration based on GaussDB support.

A data type is a basic data attribute. Occupied storage space and allowed operations vary according to data types. In a database, data is stored in tables, in which a data type is specified for each column. Data in the column must be of its allowed data type. For details of each types description, see Table 1

Table 1 Basic description of data types

Data Types

Basic Description

Numeric Types

For details, see Numeric Types.

Date/Time Types

This document describes the following date/time types: DATETIME, TIME, TIMESTAMP, and YEAR. GaussDB(DWS) does not support these types, and DSC will convert them. For details, see Date/Time Types.

String Types

MySQL interprets length specifications in character column definitions in character units. This applies to the CHAR, VARCHAR, and TEXT types. For details, see String Types.

Spatial Data Types

MySQL has spatial data types corresponding to the OpenGIS class. For details, see Spatial Data Types.

LOB Types

A BLOB is a binary large object that can hold a variable amount of data. The four BLOB types are TINYBLOB, BLOB, MEDIUMBLOB, and LONGBLOB. The only difference between these four types is the maximum length of the values they can contain. For details, see LOB Types.

Set Types

  1. In MySQL, an ENUM is a string object with a value chosen from a list of permitted values that are enumerated explicitly in the column specification at table creation.
  2. A SET is a string object that can have zero or more values, each of which must be chosen from a list of permitted values specified when the table is created.

    For details, see Set Types.

Boolean Types

MySQL supports both BOOL and BOOLEAN. For details, see Boolean Types.

Binary Types

  1. In MySQL, the BIT data type is used to store bit values. A type of BIT(M) enables storage of M-bit values. M can range from 1 to 64.
  2. MySQL BINARY and VARBINARY types are similar to CHAR and VARCHAR, except that they contain binary strings rather than non-binary strings.

    For details, see Binary Types.

Numeric Types

Table 2 Numeric type mapping

MySQL Numeric Type

MySQL Input

GaussDB(DWS) Output

DEC

DEC

DEC[(M[,D])] [UNSIGNED] [ZEROFILL]

DECIMAL

DECIMAL[(M[,D])]

DECIMAL

DECIMAL[(M[,D])] [UNSIGNED] [ZEROFILL]

DECIMAL[(M[,D])]

DOUBLE PRECISION

DOUBLE PRECISION

DOUBLE PRECISION [(M[,D])] [UNSIGNED] [ZEROFILL]

FLOAT

FLOAT[(M)]

DOUBLE

DOUBLE[(M[,D])] [UNSIGNED] [ZEROFILL]

FLOAT[(M)]

FIXED

FIXED

FIXED[(M[,D])] [UNSIGNED] [ZEROFILL]

DECIMAL

DECIMAL[(M[,D])]

FLOAT

FLOAT

FLOAT [(M[,D])] [UNSIGNED] [ZEROFILL]

FLOAT(p) [UNSIGNED] [ZEROFILL]

FLOAT

FLOAT[(M)]

FLOAT(p)

INT

INT

INT(p) [UNSIGNED] [ZEROFILL]

INTEGER

INTEGER(p)

INTEGER

INTEGER

INTEGER(p) [UNSIGNED] [ZEROFILL]

INTEGER

INTEGER(p)

MEDIUMINT

MEDIUMINT

MEDIUMINT(p) [UNSIGNED] [ZEROFILL]

INTEGER

INTEGER(p)

NUMERIC

NUMERIC

NUMERIC [(M[,D])] [UNSIGNED] [ZEROFILL]

DECIMAL

DECIMAL[(M[,D])]

REAL

REAL[(M[,D])]

FLOAT[(M)]

SMALLINT

SMALLINT

SMALLINT(p) [UNSIGNED] [ZEROFILL]

SMALLINT

TINYINT

TINYINT

TINYINT(n)

TINYINT(n) ZEROFILL

TINYINT(n) UNSIGNED ZEROFILL

TINYINT

TINYINT

TINYINT

SMALLINT

Input: TINYINT

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` TINYINT,
    `dataType_2` TINYINT(0),
    `dataType_3` TINYINT(255),
    `dataType_4` TINYINT(255) UNSIGNED ZEROFILL,
    `dataType_5` TINYINT(255) ZEROFILL
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" TINYINT,
  "datatype_2" TINYINT,
  "datatype_3" TINYINT,
  "datatype_4" SMALLINT,
  "datatype_5" TINYINT
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Date/Time Types

Table 3 Date/Time type mapping

MySQL Date/Time Type

MySQL Input

GaussDB(DWS) Output

DATETIME

DATETIME[(fsp)]

TIMESTAMP[(fsp)] WITHOUT TIME ZONE

TIME

TIME[(fsp)]

TIME[(fsp)] WITHOUT TIME ZONE

TIMESTAMP

TIMESTAMP[(fsp)]

TIMESTAMP[(fsp)] WITH TIME ZONE

YEAR

YEAR[(4)]

VARCHAR(4)

NOTE:

The value of fsp must be in the range [0, 6]. Value 0 indicates no decimal. If this parameter is omitted, the default precision will be 0.

Input: DATETIME

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` DATETIME,
    `dataType_2` DATETIME(0),
    `dataType_3` DATETIME(6),
    `dataType_4` DATETIME DEFAULT NULL,
    `dataType_5` DATETIME DEFAULT '2018-10-12 15:27:33.999999'
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" TIMESTAMP WITHOUT TIME ZONE,
  "datatype_2" TIMESTAMP(0) WITHOUT TIME ZONE,
  "datatype_3" TIMESTAMP(6) WITHOUT TIME ZONE,
  "datatype_4" TIMESTAMP WITHOUT TIME ZONE DEFAULT NULL,
  "datatype_5" TIMESTAMP WITHOUT TIME ZONE DEFAULT '2018-10-12 15:27:33.999999'
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: TIME

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` TIME DEFAULT '20:58:10',
    `dataType_2` TIME(3) DEFAULT '20:58:10',
    `dataType_3` TIME(6) DEFAULT '20:58:10',
    `dataType_4` TIME(6) DEFAULT '2018-10-11 20:00:00',
    `dataType_5` TIME(6) DEFAULT '20:58:10.01234',
    `dataType_6` TIME(6) DEFAULT '2018-10-11 20:00:00.01234',
    `dataType_7` TIME DEFAULT NULL,
    `dataType_8` TIME(6) DEFAULT NULL,
    PRIMARY KEY (dataType_1)
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" TIME WITHOUT TIME ZONE DEFAULT '20:58:10',
  "datatype_2" TIME(3) WITHOUT TIME ZONE DEFAULT '20:58:10',
  "datatype_3" TIME(6) WITHOUT TIME ZONE DEFAULT '20:58:10',
  "datatype_4" TIME(6) WITHOUT TIME ZONE DEFAULT '2018-10-11 20:00:00',
  "datatype_5" TIME(6) WITHOUT TIME ZONE DEFAULT '20:58:10.01234',
  "datatype_6" TIME(6) WITHOUT TIME ZONE DEFAULT '2018-10-11 20:00:00.01234',
  "datatype_7" TIME WITHOUT TIME ZONE DEFAULT NULL,
  "datatype_8" TIME(6) WITHOUT TIME ZONE DEFAULT NULL,
  PRIMARY KEY ("datatype_1")
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: TIMESTAMP

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
   `dataType_1` TIMESTAMP,
   `dateType_4` TIMESTAMP DEFAULT '2018-10-12 15:27:33',
   `dateType_5` TIMESTAMP DEFAULT '2018-10-12 15:27:33.999999',
   `dateType_6` TIMESTAMP DEFAULT '2018-10-12 15:27:33',
   `dateType_7` TIMESTAMP DEFAULT '2018-10-12 15:27:33',
   `dataType_8` TIMESTAMP(0) DEFAULT '2018-10-12 15:27:33',
   `dateType_9` TIMESTAMP(6) DEFAULT '2018-10-12 15:27:33'
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" TIMESTAMP WITH TIME ZONE,
  "datetype_4" TIMESTAMP WITH TIME ZONE DEFAULT '2018-10-12 15:27:33',
  "datetype_5" TIMESTAMP WITH TIME ZONE DEFAULT '2018-10-12 15:27:33.999999',
  "datetype_6" TIMESTAMP WITH TIME ZONE DEFAULT '2018-10-12 15:27:33',
  "datetype_7" TIMESTAMP WITH TIME ZONE DEFAULT '2018-10-12 15:27:33',
  "datatype_8" TIMESTAMP(0) WITH TIME ZONE DEFAULT '2018-10-12 15:27:33',
  "datetype_9" TIMESTAMP(6) WITH TIME ZONE DEFAULT '2018-10-12 15:27:33'
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: YEAR

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` YEAR,
    `dataType_2` YEAR(4),
    `dataType_3` YEAR DEFAULT '2018',
    `dataType_4` TIME DEFAULT NULL
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" VARCHAR(4),
  "datatype_2" VARCHAR(4),
  "datatype_3" VARCHAR(4) DEFAULT '2018',
  "datatype_4" TIME WITHOUT TIME ZONE DEFAULT NULL 
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

String Types

Table 4 String type mapping

MySQL String Type

MySQL Input

GaussDB(DWS) Output

CHAR

CHAR[(0)]

CHAR[(1)]

LONGTEXT

LONGTEXT

TEXT

MEDIUMTEXT

MEDIUMTEXT

TEXT

TEXT

TEXT

TEXT

TINYTEXT

TINYTEXT

TEXT

VARCHAR

VARCHAR[(0)]

VARCHAR[(1)]

Input: CHAR

In MySQL, the length of a CHAR column is fixed to the length that you declare when you create the table. The length can be any value from 0 to 255. When CHAR values are stored, they are right-padded with spaces to the specified length.

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
   `dataType_1` CHAR NOT NULL,
   `dataType_2` CHAR(0) NOT NULL,
   `dataType_3` CHAR(255) NOT NULL
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" CHAR NOT NULL,
  "datatype_2" CHAR(1) NOT NULL,
  "datatype_3" CHAR(255) NOT NULL
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: [LONG|MEDIUM|TINY]TEXT

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` LONGTEXT,
    `dataType_2` MEDIUMTEXT,
    `dataType_3` TEXT,
    `dataType_4` TINYTEXT
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" TEXT,
  "datatype_2" TEXT,
  "datatype_3" TEXT,
  "datatype_4" TEXT
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: VARCHAR

In MySQL, values in VARCHAR columns are variable-length strings. The length can be any value from 0 to 65,535.

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` VARCHAR(0),
    `dataType_2` VARCHAR(1845)
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" VARCHAR(1),
  "datatype_2" VARCHAR(1845)
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Spatial Data Types

Table 5 Spatial type mapping

MySQL Spatial Type

MySQL Input

GaussDB(DWS) Output

GEOMETRY

GEOMETRY

CIRCLE

POINT

POINT

POINT

LINESTRING

LINESTRING

POLYGON

POLYGON

POLYGON

POLYGON

MULTIPOINT

MULTIPOINT

BOX

MULTILINESTRING

MULTILINESTRING

BOX

MULTIPOLYGON

MULTIPOLYGON

POLYGON

GEOMETRYCOLLECTION

GEOMETRYCOLLECTION

CIRCLE

  • GEOMETRY can store geometry values of any type. The other single-value types (POINT, LINESTRING, and POLYGON) restrict their values to a particular geometry type.
  • GEOMETRYCOLLECTION can store a collection of objects of any type. The other collection types (MULTIPOINT, MULTILINESTRING, MULTIPOLYGON, and GEOMETRYCOLLECTION) restrict collection members to those having a particular geometry type.

    Input

    CREATE TABLE `t_geo_test2`  (
      `id` int(11) NOT NULL,
      `name` varchar(255),
      `geometry_1` geometry NOT NULL,
      `point_1` point NOT NULL,
      `linestring_1` linestring NOT NULL,
      `polygon_1` polygon NOT NULL,
      `multipoint_1` multipoint NOT NULL,
      `multilinestring_1` multilinestring NOT NULL,
      `multipolygon_1` multipolygon NOT NULL,
      `geometrycollection_1` geometrycollection NOT NULL,
      PRIMARY KEY (`id`) USING BTREE
    ) ENGINE = InnoDB;

    Output

    CREATE TABLE "public"."t_geo_test2"
    (
      "id" INTEGER(11) NOT NULL,
      "name" VARCHAR(255),
      "geometry_1" CIRCLE NOT NULL,
      "point_1" POINT NOT NULL,
      "linestring_1" POLYGON NOT NULL,
      "polygon_1" POLYGON NOT NULL,
      "multipoint_1" BOX NOT NULL,
      "multilinestring_1" BOX NOT NULL,
      "multipolygon_1" POLYGON NOT NULL,
      "geometrycollection_1" CIRCLE NOT NULL,
      PRIMARY KEY ("id")
    )
      WITH ( ORIENTATION = ROW, COMPRESSION = NO )
      NOCOMPRESS
      DISTRIBUTE BY HASH ("id");

LOB Types

Table 6 LOB type mapping

MySQL LOB Type

MySQL Input

GaussDB(DWS) Output

TINYBLOB

TINYBLOB

BLOB

BLOB

BLOB

BLOB

MEDIUMBLOB

MEDIUMBLOB

BLOB

LONGBLOB

LONGBLOB

BLOB

Input: [TINY|MEDIUM|LONG]BLOB

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` BIGINT,
    `dataType_2` TINYBLOB,
    `dataType_3` BLOB,
    `dataType_4` MEDIUMBLOB,
    `dataType_5` LONGBLOB
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" BIGINT,
  "datatype_2" BLOB,
  "datatype_3" BLOB,
  "datatype_4" BLOB,
  "datatype_5" BLOB
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Set Types

Table 7 Set type mapping

MySQL Set Type

MySQL Input

GaussDB(DWS) Output

ENUM

ENUM

VARCHAR(14)

SET

SET

VARCHAR(14)

Input: ENUM

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
     id   int(2) PRIMARY KEY,
    `dataType_17` ENUM('dws-1', 'dws-2', 'dws-3')
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "id" INTEGER(2) PRIMARY KEY,
  "datatype_17" VARCHAR(14)
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("id");

Input: SET

CREATE TABLE IF NOT EXISTS `runoob_tbl_test`(
    `dataType_18` SET('dws-1', 'dws-2', 'dws-3')
);

Output

CREATE TABLE "public"."runoob_tbl_test"
(
  "datatype_18" VARCHAR(14)
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_18");

Boolean Types

Input: BOOL/BOOLEAN

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` INT,
    `dataType_2` BOOL,
    `dataType_3` BOOLEAN
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" INTEGER,
  "datatype_2" BOOLEAN,
  "datatype_3" BOOLEAN
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Binary Types

Table 8 Binary type mapping

MySQL Binary Type

MySQL Input

GaussDB(DWS) Output

BIT[(M)]

BIT[(M)]

BIT[(M)]

BINARY[(M)]

BINARY[(M)]

BYTEA

VARBINARY[(M)]

VARBINARY[(M)]

BYTEA

Input: BIT

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` INT,
    `dataType_2` BIT(1),
    `dataType_3` BIT(64)
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" INTEGER,
  "datatype_2" BIT(1),
  "datatype_3" BIT(64)
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

Input: [VAR]BINARY

CREATE TABLE IF NOT EXISTS `runoob_dataType_test`(
    `dataType_1` INT,
    `dataType_2` BINARY,
    `dataType_3` BINARY(0),
    `dataType_4` BINARY(255),
    `dataType_5` VARBINARY(0),
    `dataType_6` VARBINARY(6553)
);

Output

CREATE TABLE "public"."runoob_datatype_test"
(
  "datatype_1" INTEGER,
  "datatype_2" BYTEA,
  "datatype_3" BYTEA,
  "datatype_4" BYTEA,
  "datatype_5" BYTEA,
  "datatype_6" BYTEA
)
  WITH ( ORIENTATION = ROW, COMPRESSION = NO )
  NOCOMPRESS
  DISTRIBUTE BY HASH ("datatype_1");

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