COPY INTO <table> FROM STAGED FILES

COPY moves data between Databend tables and object storage systems (AWS S3 compatible object storage services and Azure Blob storage).

This command loads data into a table from files staged in one of the following locations:

Named internal stage, files can be staged using the PUT to Stage.
Named external stage that references an external location (AWS S3 compatible object storage services and Azure Blob storage).
External location. This includes AWS S3 compatible object storage services and Azure Blob storage.

COPY can also load data into a table from one or more remote files by their URL. See COPY INTO \<table> FROM FILES BY URL.

Syntax

COPY INTO [<database>.]<table_name>
FROM { internalStage | externalStage | externalLocation }
[ FILES = ( '<file_name>' [ , '<file_name>' ] [ , ... ] ) ]
[ PATTERN = '<regex_pattern>' ]
[ FILE_FORMAT = ( TYPE = { CSV | JSON | PARQUET } [ formatTypeOptions ] } ) ]
[ copyOptions ]

Where:

internalStage

internalStage ::= @<internal_stage_name>[/<path>]

externalStage

externalStage ::= @<external_stage_name>[/<path>]

externalLocation

AWS S3 compatible object storage services:

externalLocation ::=
  's3://<bucket>[<path>]'
  CONNECTION = (
        ENDPOINT_URL = 'https://<endpoint-URL>'
        ACCESS_KEY_ID = '<your-access-key-ID>'
        SECRET_ACCESS_KEY = '<your-secret-access-key>'
        REGION = '<region-name>'
        ENABLE_VIRTUAL_HOST_STYLE = true|false
  )

Parameter	Description	Required
`s3://<bucket>[<path>]`	External files located at the AWS S3 compatible object storage.	Optional
ENDPOINT_URL	The bucket endpoint URL starting with "https://". To use a URL starting with "http://", set `allow_insecure` to `true` in the [storage] block of the file `databend-query-node.toml`.	Optional
ACCESS_KEY_ID	Your access key ID for connecting the AWS S3 compatible object storage. If not provided, Databend will access the bucket anonymously.	Optional
SECRET_ACCESS_KEY	Your secret access key for connecting the AWS S3 compatible object storage.	Optional
REGION	AWS region name. For example, us-east-1.	Optional
ENABLE_VIRTUAL_HOST_STYLE	If you use virtual hosting to address the bucket, set it to "true".	Optional

Azure Blob storage：

externalLocation ::=
  'azblob://<container>[<path>]'
  CONNECTION = (
        ENDPOINT_URL = 'https://<endpoint-URL>'
        ACCOUT_NAME = '<your-account-name>'
        ACCOUNT_KEY = '<your-account-key>'
  )

Parameter	Description	Required
`azblob://<container>[<path>]`	External files located at the Azure Blob storage.	Required
ENDPOINT_URL	The container endpoint URL starting with "https://". To use a URL starting with "http://", set `allow_insecure` to `true` in the [storage] block of the file `databend-query-node.toml`.	Optional
ACCOUNT_NAME	Your account name for connecting the Azure Blob storage. If not provided, Databend will access the container anonymously.	Optional
ACCOUNT_KEY	Your account key for connecting the Azure Blob storage.	Optional

FILES = ( 'file_name' [ , 'file_name' ... ] )

Specifies a list of one or more files names (separated by commas) to be loaded.

PATTERN = 'regex_pattern'

A regular expression pattern string, enclosed in single quotes, specifying the file names to match.

formatTypeOptions

formatTypeOptions ::=
  RECORD_DELIMITER = '<character>' 
  FIELD_DELIMITER = '<character>' 
  SKIP_HEADER = <integer>
  COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONE

`RECORD_DELIMITER = '<character>'`

Description: One character that separate records in an input file.

Default: '\n'

`FIELD_DELIMITER = '<character>'`

Description: One character that separate fields in an input file.

Default: ',' (comma)

`SKIP_HEADER = '<integer>'`

Description: Number of lines at the start of the file to skip.

Default: 0

`COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | XZ | NONE`

Description: String that represents the compression algorithm.

Default: NONE

Values:

Values	Notes
`AUTO`	Auto detect compression via file extensions
`GZIP`
`BZ2`
`BROTLI`	Must be specified if loading/unloading Brotli-compressed files.
`ZSTD`	Zstandard v0.8 (and higher) is supported.
`DEFLATE`	Deflate-compressed files (with zlib header, RFC1950).
`RAW_DEFLATE`	Deflate-compressed files (without any header, RFC1951).
`XZ`
`NONE`	Indicates that the files have not been compressed.

copyOptions

copyOptions ::=
  [ SIZE_LIMIT = <num> ]

Parameters	Description	Required
`SIZE_LIMIT = <num>`	Number (> 0) that specifies the maximum rows of data to be loaded for a given COPY statement. Default `0`	Optional

Examples

Loading Files from Internal Stage

First, create a named internal stage:

CREATE STAGE my_internal_s1;

Then, PUT a local file to my_internal_s1 stage with PUT to Stage API:

curl  -H "stage_name:my_internal_s1" -F "upload=@books.parquet" -XPUT "http://localhost:8081/v1/upload_to_stage"

Finally, copy the file into mytable from the my_internal_s1 named internal stage:

LIST @my_internal_s1;
COPY INTO mytable FROM @my_internal_s1 pattern = 'books.*parquet' file_format = (type = 'PARQUET');

Loading Files from External Stage

First, create a named external stage:

CREATE STAGE my_external_s1 url = 's3://testbucket/admin/data/' credentials=(aws_key_id='minioadmin' aws_secret_key='minioadmin');

Then, copy the file into mytable from the my_external_s1 named external stage:

COPY INTO mytable FROM @my_external_s1 pattern = 'books.*parquet' file_format = (type = 'PARQUET');

Loading Files Directly from External Location

AWS S3 compatible object storage services

This example reads 10 rows from a CSV file and inserts them into a table:

COPY INTO mytable
  FROM 's3://mybucket/data.csv'
  CONNECTION = (
        ENDPOINT_URL = 'https://<endpoint-URL>'
        ACCESS_KEY_ID = '<your-access-key-ID>'
        SECRET_ACCESS_KEY = '<your-secret-access-key>')
  FILE_FORMAT = (type = 'CSV' field_delimiter = ','  record_delimiter = '\n' skip_header = 1) size_limit=10;

This example reads 10 rows from a CSV file compressed as GZIP and inserts them into a table:

COPY INTO mytable
  FROM 's3://mybucket/data.csv.gz'
  CONNECTION = (
        ENDPOINT_URL = 'https://<endpoint-URL>'
        ACCESS_KEY_ID = '<your-access-key-ID>'
        SECRET_ACCESS_KEY = '<your-secret-access-key>')
  FILE_FORMAT = (type = 'CSV' field_delimiter = ',' record_delimiter = '\n' skip_header = 1 compression = GZIP) size_limit=10;

This example moves data from a CSV file without specifying the endpoint URL:

COPY INTO mytable
  FROM 's3://mybucket/data.csv'
  FILE_FORMAT = (type = 'CSV' field_delimiter = ','  record_delimiter = '\n' skip_header = 1) size_limit=10;

Azure Blob storage

This example reads data from a CSV file and inserts them into a table:

COPY INTO mytable
    FROM 'azblob://mybucket/data.csv'
    CONNECTION = (
        ENDPOINT_URL = 'https://<account_name>.blob.core.windows.net'
        ACCOUNT_NAME = '<account_name>'
        ACCOUNT_KEY = '<account_key>'
    )

Syntax​

internalStage​

externalStage​

externalLocation​

FILES = ( 'file_name' [ , 'file_name' ... ] )​

PATTERN = 'regex_pattern'​

formatTypeOptions​

RECORD_DELIMITER = '<character>'​

FIELD_DELIMITER = '<character>'​

SKIP_HEADER = '<integer>'​

COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | XZ | NONE​

copyOptions​

Examples​

Loading Files from Internal Stage​

Loading Files from External Stage​

Loading Files Directly from External Location​