CREATE TABLE

Creates a new table in the current database.

Syntax

CREATE [FACT|DIMENSION] TABLE [IF NOT EXISTS] <table_name>
(
    <column_name> <column_type> [constraints] [DESCRIPTION = <column_description>] [STATISTICS [(<statistics_type> [, <statistics_type> [, ...n]])]]
    [, <column_name> <column_type> [constraints] [DESCRIPTION = <column_description>] [STATISTICS [(<statistics_type> [, <statistics_type> [, ...n]])]]
    [, ...n]]
    [, STATISTICS [ALL|(<column_name>)] [TYPE <statistics_type>] [TYPE ...n]
    [, STATISTICS ...n]]
)
[PRIMARY INDEX <column_name>[, <column_name>[, ...k]]]
[PARTITION BY <column_name>[, <column_name>[, ...m]]]
[WITH ( <storage_parameter> = <storage_parameter_value>[, <storage_parameter> = <storage_parameter_value>[, ...p]], [DESCRIPTION = <table_description>] ) ]

Parameters

Parameter	Description
`<table_name>`	An identifier that specifies the name of the table. This name should be unique within the database.
`<column_name>`	An identifier that specifies the name of the column. This name should be unique within the table.
`<column_type>`	Specifies the data type for the column.
`<column_description>`	The optional description of the column.
`<storage_parameter>`	The name of a storage parameter for controlling behaviors related to storage and indexes.
`<storage_parameter_value>`	The value assigned to a `<storage_parameter>`.
`<table_description>`	The optional description of the table.
`<statistics_type>`	Type of automated column statistics to collect. Possible values: `NDISTINCT`, `MINMAX`

All identifiers are case-insensitive unless enclosed in double-quotes. For more information, see Object identifiers.

Column constraints and the default expression

Firebolt supports the following column constraints:

<column_name> <column_type> [NULL | NOT NULL] [DEFAULT <expression>] [UNIQUE]

Constraint	Description	Default value
`DEFAULT <expression>`	Determines the default value used when no value is provided, instead of inserting a `NULL` value.
`NULL \| NOT NULL`	Determines if the column may or may not contain `NULL` values.	`NULL`
`UNIQUE`	Provides metadata to the query optimizer about column uniqueness. Does not enforce uniqueness - ensuring unique values is the user’s responsibility.

Only literals and the following functions are supported in default expressions: CURRENT_DATE, LOCALTIMESTAMP, CURRENT_TIMESTAMP, and NOW, which is an alias for CURRENT_TIMESTAMP.

STRUCT fields within ARRAY columns cannot have UNIQUE constraints

Example: Creating a table with `NULL` and `NOT NULL` values

The following example illustrates different use cases for column definitions and INSERT statements:

An Explicit NULL insert – a direct insertion of a NULL value into a particular column.
An Implicit NULL insert – an INSERT statement with missing values for a particular column.

The following example creates a fact table t1 with five columns, specifying if each column can contain NULL values, their default values, and a primary index on col2:

CREATE FACT TABLE t1
(
    col1 INTEGER  NULL,
    col2 INTEGER  NOT NULL,
    col3 INTEGER  NULL DEFAULT 1,
    col4 INTEGER  NOT NULL DEFAULT 1,
    col5 TEXT
)
PRIMARY INDEX col2;

After creating a table, you can manipulate the values using different INSERT statements, as shown in the following examples:

INSERT statement	Results and explanation
`INSERT INTO t1 VALUES (1,1,1,1,1)`	This code example inserts `1` into each column.
`INSERT INTO t1 VALUES (NULL,1,1,1,1)`	This code example explicitly inserts a `NULL` value into `col1`. Because `col1` can contain `NULL` values, this operation is successful.
`INSERT INTO t1 (col2,col3,col4,col5) VALUES (1,1,1,1)`	This code example shows both explicit and implicit `INSERT` statements. Because `col1` has no value specified, and lacks a default expression, it is implicitly set to `NULL`.
`INSERT INTO t1 VALUES (1,NULL,1,1,1)` `INSERT INTO t1 (col1,col3,col4,col5) VALUES (1,1,1,1)`	This code example shows how a null mismatch error is generated. Because `col2` is defined as `NOT NULL` with no default expression, both `INSERT` statements implicitly try to insert `NULL` values into `col2`, and generate “null mismatch” events.
`INSERT INTO t1 VALUES (1,1,NULL,1,1)`	This code example explicitly inserts a `NULL` value into `col3`. Because `col3` is defined as `NULL DEFAULT 1`, the operation is successful.
`INSERT INTO t1 (col1,col2,col4,col5) VALUES (1,1,1,1)`	By not specifying a value for `col3`, this code example implicitly inserts the default value `1` into `col3`, which is defined as `NULL DEFAULT 1`.
`INSERT INTO t1 VALUES (1,1,1,NULL,1)`	This code example shows how another null mismatch error is generated. Because `col4` is defined as `NOT NULL DEFAULT 1`, the explicit insertion of a `NULL` value violates the `NOT NULL` constraint, and results in a null mismatch event.
`INSERT INTO t1 (col1,col2,col3,col5) VALUES (1,1,1,1)`	This code example shows how omitting a value in an implicit insert invokes the default value `1` for `col4`.
`INSERT INTO t1 VALUES (1,1,1,1,NULL)` `INSERT INTO t1 (col1,col2,col3,col4) VALUES (1,1,1,1)`	This code example shows how explicit and implicit inserts cause a null mismatch error. Because `col5` was neither defined with a default expression nor allowed to contain `NULL` values, Firebolt treats `col5` as `NOT NULL DEFAULT NULL`. Both `INSERT` statements attempt to insert a `NULL` value into a `NOT NULL TEXT` column, invoking in a null mismatch event.

Example creating table with UNIQUE constraint over columns

The following examples illustrates UNIQUE constraint over different column definitions : Primitive types:

CREATE FACT TABLE users (
    id INTEGER UNIQUE,
    email TEXT UNIQUE,
    score DOUBLE UNIQUE,
    active BOOLEAN UNIQUE,
    created_date DATE UNIQUE
);

STRUCT fields and columns:

CREATE FACT TABLE user_profiles (
    user_data STRUCT (
        id INTEGER UNIQUE,
        email TEXT UNIQUE,
        score DOUBLE UNIQUE
    ),
    profile STRUCT (
        name TEXT,
        age INTEGER
    ) UNIQUE
);

ARRAY columns:

CREATE FACT TABLE collections (
    numbers ARRAY(INTEGER) UNIQUE,
    names ARRAY(TEXT) UNIQUE,
    complex_data ARRAY(STRUCT (
        id INTEGER,
        name TEXT
    )) UNIQUE
);

PRIMARY INDEX

The PRIMARY INDEX is an optional sparse index that sorts and organizes data based on the indexed field as it is ingested, without affecting data scan performance. For more information, see Primary index.

Syntax

PRIMARY INDEX <column_name>[, <column_name>[, ...n]]

The following table describes the primary index parameters:

Parameter.	Description	Mandatory?
`<column_name>`	Specifies the name of the column in the Firebolt table which composes the index. At least one column is required.	Y

PARTITION BY

The PARTITION BY clause defines one or more columns that determine how the table is divided into physical parts. These columns serve as the partition key and cannot allow NULL values. When multiple columns are used as the partition key, the combination of all of these columns define the partition boundaries.

PARTITION BY <column_name>[, <column_name>[, ...n]]

The following subset of SQL functions can be used in PARTITION BY expressions:

TO_YYYYMM
TO_YYYYMMDD
EXTRACT(year|month|day|hour from <column_name>)
DATE_TRUNC

For more information, see Working with partitions.

Table type

Firebolt supports two types of tables:

FACT table - the data is distributed across all nodes of the engine.
DIMENSION table - the entire table is replicated in every node of the engine.

The CREATE TABLE command defaults to a FACT table. DIMENSION tables are ideal for relatively small tables, up to tens of gigabytes, that are used in joins with FACT tables.

Storage Parameters

Storage parameters are specified in the optional WITH (...) clause as comma separated <storage_parameter> = <storage_parameter_value> assignments.

Storage Parameter	Description
`<index_granularity>`	The maximum number of rows in each granule. `<storage_parameter_value>` must be a power of 2 between 128 and 8192. The default value is 8192. For more information, see Index granularity.
`<compression>`	The compression to use at the table level. The default value is `LZ4`. For more information, see Custom Compression.
`<compression_level>`	The compression level to use for the specified compression. This parameter cannot be set without `compression`. For more information, see Custom Compression.

All identifiers are case-insensitive unless enclosed in double-quotes. For more information, see Object identifiers.

DESCRIPTION

It is possible to add a description to the table as well as to the columns during the table creation.

CREATE TABLE table_with_description
(
    col1 INTEGER NULL DESCRIPTION 'this is a column col1',
    col2 INTEGER NOT NULL DEFAULT 1,
    col3 TEXT DESCRIPTION 'this is a column col3'
)
WITH (DESCRIPTION = 'this is a table')

Firebolt also supports the following related functions:

CREATE TABLE AS SELECT (CTAS) – - Creates a table and loads data into it based on a SELECT query.
CREATE TABLE CLONE – Creates a table that is a copy of an existing table in the database.

Overview

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Guides

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Release notes

API reference

Legal

Syntax

Parameters

Column constraints and the default expression

Example: Creating a table with `NULL` and `NOT NULL` values

Example creating table with UNIQUE constraint over columns

PRIMARY INDEX

Syntax

PARTITION BY

Table type

Storage Parameters

DESCRIPTION

​Syntax

​Parameters

​Column constraints and the default expression

​Example: Creating a table with NULL and NOT NULL values

​Example creating table with UNIQUE constraint over columns

​PRIMARY INDEX

​Syntax

​PARTITION BY

​Table type

​Storage Parameters

​DESCRIPTION

​Related functions

Syntax

Parameters

Column constraints and the default expression

Example: Creating a table with `NULL` and `NOT NULL` values

Example creating table with UNIQUE constraint over columns

PRIMARY INDEX

Syntax

PARTITION BY

Table type

Storage Parameters

DESCRIPTION

Related functions