CREATE TABLE [USING]

Applies to: check marked yes Databricks SQL check marked yes Databricks Runtime

Defines a managed or external table, optionally using a data source.

Syntax 

{ { [CREATE OR] REPLACE TABLE | CREATE [EXTERNAL] TABLE [ IF NOT EXISTS ] }
  table_name
  [ table_specification ]
  [ USING data_source ]
  [ table_clauses ]
  [ AS query ] }

table_specification
  ( { column_identifier column_type [ NOT NULL ]
      [ GENERATED ALWAYS AS ( expr ) |
        GENERATED { ALWAYS | BY DEFAULT } AS IDENTITY [ ( [ START WITH start ] [ INCREMENT BY step ] ) ] |
        DEFAULT default_expression ]
      [ COMMENT column_comment ]
      [ column_constraint ] } [, ...]
    [ , table_constraint ] [...] )

table_clauses
  { OPTIONS clause |
    PARTITIONED BY clause |
    clustered_by_clause |
    LOCATION path [ WITH ( CREDENTIAL credential_name ) ] |
    COMMENT table_comment |
    TBLPROPERTIES clause } [...]

clustered_by_clause
  { CLUSTERED BY ( cluster_column [, ...] )
    [ SORTED BY ( { sort_column [ ASC | DESC ] } [, ...] ) ]
    INTO num_buckets BUCKETS }

Parameters

  • REPLACE

    If specified replaces the table and its content if it already exists. This clause is only supported for Delta Lake tables.

    REPLACE preserves the table history.

    Note

    Databricks strongly recommends using REPLACE instead of dropping and re-creating Delta Lake tables.

  • EXTERNAL

    If specified, creates an external table. When creating an external table you must also provide a LOCATION clause. When an external table is dropped the files at the LOCATION will not be dropped.

  • IF NOT EXISTS

    If specified and a table with the same name already exists, the statement is ignored.

    IF NOT EXISTS cannot coexist with REPLACE, which means CREATE OR REPLACE TABLE IF NOT EXISTS is not allowed.

  • table_name

    The name of the table to be created. The name must not include a temporal specification. If the name is not qualified the table is created in the current schema.

  • table_specification

    This optional clause defines the list of columns, their types, properties, descriptions, and column constraints.

    If you do not define columns the table schema you must specify either AS query or LOCATION.

    • column_identifier

      A unique name for the column.

    • column_type

      Specifies the data type of the column. Not all data types supported by Databricks are supported by all data sources.

    • NOT NULL

      If specified the column will not accept NULL values. This clause is only supported for Delta Lake tables.

    • GENERATED ALWAYS AS ( expr )

      When you specify this clause the value of this column is determined by the specified expr.

      expr may be composed of literals, column identifiers within the table, and deterministic, built-in SQL functions or operators except:

      Also expr must not contain any subquery.

    • GENERATED { ALWAYS | BY DEFAULT } AS IDENTITY [ ( [ START WITH start ] [ INCREMENT BY step ] ) ]

      Applies to: check marked yes Databricks SQL check marked yes Databricks Runtime 10.3 and above

      Defines an identity column. When you write to the table, and do not provide values for the identity column, it will be automatically assigned a unique and statistically increasing (or decreasing if step is negative) value. This clause is only supported for Delta Lake tables. This clause can only be used for columns with BIGINT data type.

      The automatically assigned values start with start and increment by step. Assigned values are unique but are not guaranteed to be contiguous. Both parameters are optional, and the default value is 1. step cannot be 0.

      If the automatically assigned values are beyond the range of the identity column type, the query will fail.

      When ALWAYS is used, you cannot provide your own values for the identity column.

      The following operations are not supported:

      • PARTITIONED BY an identity column

      • UPDATE an identity column

    • DEFAULT default_expression

      Applies to: check marked yes Databricks SQL SQL warehouse version 2022.35 or higher check marked yes Databricks Runtime 11.2 and above

      Defines a DEFAULT value for the column which is used on INSERT, UPDATE, and MERGE ... INSERT when the column is not specified.

      If no default is specified DEFAULT NULL is applied for nullable columns.

      default_expression may be composed of literals, and built-in SQL functions or operators except:

      Also default_expression must not contain any subquery.

      DEFAULT is supported for CSV, JSON, PARQUET, and ORC sources.

    • COMMENT column_comment

      A string literal to describe the column.

    • column_constraint

      Preview

      This feature is in Public Preview.

      Adds a primary key or foreign key constraint to the column in a Delta Lake table.

      Constraints are not supported for tables in the hive_metastore catalog.

      To add a check constraint to a Delta Lake table use ALTER TABLE.

    • table_constraint

      Adds an informational primary key or informational foreign key constraints to the Delta Lake table.

      Key constraints are not supported for tables in the hive_metastore catalog.

      To add a check constraint to a Delta Lake table use ALTER TABLE.

  • USING data_source

    The file format to use for the table. data_source must be one of:

    • TEXT

    • AVRO

    • BINARYFILE

    • CSV

    • JSON

    • PARQUET

    • ORC

    • DELTA

    The following additional file formats to use for the table are supported in Databricks Runtime:

    • JDBC

    • LIBSVM

    • a fully-qualified class name of a custom implementation of org.apache.spark.sql.sources.DataSourceRegister.

    If USING is omitted, the default is DELTA.

    For any data_source other than DELTA you must also specify a LOCATION unless the table catalog is hive_metastore.

    The following applies to: Databricks Runtime

    HIVE is supported to create a Hive SerDe table in Databricks Runtime. You can specify the Hive-specific file_format and row_format using the OPTIONS clause, which is a case-insensitive string map. The option_keys are:

    • FILEFORMAT

    • INPUTFORMAT

    • OUTPUTFORMAT

    • SERDE

    • FIELDDELIM

    • ESCAPEDELIM

    • MAPKEYDELIM

    • LINEDELIM

  • table_clauses

    Optionally specify location, partitioning, clustering, options, comments, and user defined properties for the new table. Each sub clause may only be specified once.

    • PARTITIONED BY

      An optional clause to partition the table by a subset of columns.

      Note

      Unless you define a Delta Lake table partitioning columns referencing the columns in the column specification are always moved to the end of the table.

    • clustered_by_clause

      Optionally cluster the table or each partition into a fixed number of hash buckets using a subset of the columns.

      Clustering is not supported for Delta Lake tables.

      • CLUSTERED BY

        Specifies the set of columns by which to cluster each partition, or the table if no partitioning is specified.

        • cluster_column

          An identifier referencing a column_identifier in the table. If you specify more than one column there must be no duplicates. Since a clustering operates on the partition level you must not name a partition column also as a cluster column.

      • SORTED BY

        Optionally maintains a sort order for rows in a bucket.

        • sort_column

          A column to sort the bucket by. The column must not be partition column. Sort columns must be unique.

        • ASC or DESC

          Optionally specifies whether sort_column is sorted in ascending (ASC) or descending (DESC) order. The default values is ASC.

      • INTO num_buckets BUCKETS

        An INTEGER literal specifying the number of buckets into which each partition (or the table if no partitioning is specified) is divided.

    • LOCATION path [ WITH ( CREDENTIAL credential_name ) ]

      An optional path to the directory where table data is stored, which could be a path on distributed storage. path must be a STRING literal. If you specify no location the table is considered a managed table and Databricks creates a default table location.

      Specifying a location makes the table an external table.

      For tables that do not reside in the hive_metastore catalog, the table path must be protected by an external location unless a valid storage credential is specified.

      You cannot create external tables in locations that overlap with the location of managed tables.

      For a Delta Lake table the table configuration is inherited from the LOCATION if data is present. Therefore, if any TBLPROPERTIES, column_specification, or PARTITIONED BY clauses are specified for Delta Lake tables they must exactly match the Delta Lake location data.

    • OPTIONS

      Sets or resets one or more user defined table options.

    • COMMENT table_comment

      A string literal to describe the table.

    • TBLPROPERTIES

      Optionally sets one or more user defined properties.

  • AS query

    This optional clause populates the table using the data from query. When you specify a query you must not also specify a column_specification. The table schema will be derived form the query.

    Note that Databricks overwrites the underlying data source with the data of the input query, to make sure the table gets created contains exactly the same data as the input query.

Examples 

-- Creates a Delta table
> CREATE TABLE student (id INT, name STRING, age INT);

-- Use data from another table
> CREATE TABLE student_copy AS SELECT * FROM student;

-- Creates a CSV table from an external directory
> CREATE TABLE student USING CSV LOCATION '/mnt/csv_files';

-- Specify table comment and properties
> CREATE TABLE student (id INT, name STRING, age INT)
    COMMENT 'this is a comment'
    TBLPROPERTIES ('foo'='bar');

-- Specify table comment and properties with different clauses order
> CREATE TABLE student (id INT, name STRING, age INT)
    TBLPROPERTIES ('foo'='bar')
    COMMENT 'this is a comment';

-- Create partitioned table
> CREATE TABLE student (id INT, name STRING, age INT)
    PARTITIONED BY (age);

-- Create a table with a generated column
> CREATE TABLE rectangles(a INT, b INT,
                          area INT GENERATED ALWAYS AS (a * b));