COPY INTO <table>
This command loads data into Databend from files in a variety of locations.
See Also: COPY INTO location
Supported File Locations
Your data files must be located in one of these locations for COPY INTO to work:
- Named internal stage: Databend internal named stages. Files can be staged using the PUT to Stage API.
- Named external stage: Stages created in Supported Object Storage Solutions.
- External location:
- Buckets created in Supported Object Storage Solutions.
- Remote servers from where you can access the files by their URL (starting with "https://...").
- IPFS.
Syntax
COPY INTO [<database>.]<table_name>
FROM { internalStage | externalStage | externalLocation }
[ FILES = ( '<file_name>' [ , '<file_name>' ] [ , ... ] ) ]
[ PATTERN = '<regex_pattern>' ]
[ FILE_FORMAT = ( TYPE = { CSV | TSV | NDJSON | PARQUET | XML} [ formatTypeOptions ] ) ]
[ copyOptions ]
Where:
internalStage
internalStage ::= @<internal_stage_name>[/<path>]
externalStage
externalStage ::= @<external_stage_name>[/<path>]
externalLocation
AWS S3 Compatible Object Storage Service
externalLocation ::=
's3://<bucket>[<path>]'
CONNECTION = (
ENDPOINT_URL = 'https://<endpoint-URL>'
ACCESS_KEY_ID = '<your-access-key-ID>'
SECRET_ACCESS_KEY = '<your-secret-access-key>'
SESSION_TOKEN = '<your-session-token>'
REGION = '<region-name>'
ENABLE_VIRTUAL_HOST_STYLE = 'true|false'
)
参数 | Description | Required |
---|---|---|
s3://<bucket>[<path>] | External files located at the AWS S3 compatible object storage. | Required |
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 . | Required |
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 |
SESSION_TOKEN | Your temporary credential for connecting the AWS S3 service | 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>'
)
参数 | 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 . | Required |
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 |
Google Cloud Storage
externalLocation ::=
'gcs://<container>[<path>]'
CONNECTION = (
ENDPOINT_URL = 'https://<endpoint-URL>'
CREDENTIAL = '<your-credential>'
)
参数 | Description | Required |
---|---|---|
gcs://<bucket>[<path>] | External files located at the Google Cloud 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 |
CREDENTIAL | Your credential for connecting the GCS. If not provided, Databend will access the container anonymously. | Optional |
Huawei Object Storage
externalLocation ::=
'obs://<container>[<path>]'
CONNECTION = (
ENDPOINT_URL = 'https://<endpoint-URL>'
ACCESS_KEY_ID = '<your-access-key-id>'
SECRET_ACCESS_KEY = '<your-secret-access-key>'
)
参数 | Description | Required |
---|---|---|
obs://<bucket>[<path>] | External files located at the obs | 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 . | Required |
ACCESS_KEY_ID | Your access key ID for connecting the OBS. If not provided, Databend will access the bucket anonymously. | Optional |
SECRET_ACCESS_KEY | Your secret access key for connecting the OBS. | Optional |
Remote Files
externalLocation ::=
'https://<url>'
You can use glob patterns to specify moran than one file. For example, use
ontime_200{6,7,8}.csv
to representsontime_2006.csv
,ontime_2007.csv
,ontime_2008.csv
.ontime_200[6-8].csv
to representsontime_2006.csv
,ontime_2007.csv
,ontime_2008.csv
.
IPFS
externalLocation ::=
'ipfs://<your-ipfs-hash>'
CONNECTION = (ENDPOINT_URL = 'https://<your-ipfs-gateway>')
FILES = ( 'file_name' [ , 'file_name' ... ] )
Specifies a list of one or more files names (separated by commas) to be loaded.
PATTERN = 'regex_pattern'
A PCRE2-based regular expression pattern string, enclosed in single quotes, specifying the file names to match. Click here to see an example. For PCRE2 syntax, see http://www.pcre.org/current/doc/html/pcre2syntax.html.
FILE_FORMAT
See Input & Output File Formats.
copyOptions
copyOptions ::=
[ SIZE_LIMIT = <num> ]
[ PURGE = <bool> ]
[ FORCE = <bool> ]
[ ON_ERROR = { continue | abort } ]
参数 | Description | Required |
---|---|---|
SIZE_LIMIT | Specifies the maximum rows of data to be loaded for a given COPY statement. Defaults to 0 meaning no limits. | Optional |
PURGE | If True , the command will purge the files in the stage after they are loaded successfully into the table. Default: False . | Optional |
FORCE | Defaults to False meaning the command will skip duplicate files in the stage when copying data. If True , duplicate files will not be skipped. | Optional |
ON_ERROR | Provides options to handle a file containing errors. Select continue to skip the file and continue, or abort (default) to abort the load operation. | Optional |
The parameter ON_ERROR currently does not work for parquet files.
Examples
Loading Data from an Internal Stage
COPY INTO mytable FROM @my_internal_s1 pattern = 'books.*parquet' file_format = (type = 'PARQUET');
Loading Data from an External Stage
COPY INTO mytable FROM @my_external_s1 pattern = 'books.*parquet' file_format = (type = 'PARQUET');
Loading Data from External Locations
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 loads 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;
This is an example loading data from a Parquet
file:
COPY INTO mytable
FROM 's3://mybucket/data.parquet'
CONNECTION = (
ACCESS_KEY_ID = '<your-access-key-ID>'
SECRET_ACCESS_KEY = '<your-secret-access-key>')
FILE_FORMAT = (type = 'PARQUET');
Azure Blob storage
This example reads data from a CSV file and inserts it 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>'
)
FILE_FORMAT = (type = 'CSV');
Remote Files
As shown in this example, data is loaded from three remote CSV files, but a file will be skipped if it contains errors:
COPY INTO mytable
FROM 'https://repo.databend.rs/dataset/stateful/ontime_200{6,7,8}_200.csv'
FILE_FORMAT = (type = 'CSV') ON_ERROR=continue;
IPFS
This example reads data from a CSV file on IPFS and inserts it into a table:
COPY INTO mytable
FROM 'ipfs://<your-ipfs-hash>' connection = (endpoint_url = 'https://<your-ipfs-gateway>')
FILE_FORMAT = (type = 'CSV' field_delimiter = ',' record_delimiter = '\n' skip_header = 1);
Loading Data with Pattern Matching
This example uses pattern matching to only load from CSV files containing sales
in their names:
COPY INTO mytable
FROM 's3://mybucket/'
PATTERN = '.*sales.*[.]csv'
FILE_FORMAT = (type = 'CSV' field_delimiter = ',' record_delimiter = '\n' skip_header = 1);
Where .*
is interpreted as zero or more occurrences of any character
. The square brackets escape the period character (.)
that precedes a file extension.
If you want to load from all the CSV files, use PATTERN = '.*[.]csv'
:
COPY INTO mytable
FROM 's3://mybucket/'
PATTERN = '.*[.]csv'
FILE_FORMAT = (type = 'CSV' field_delimiter = ',' record_delimiter = '\n' skip_header = 1);
Tutorials
Here are some tutorials to help you get started with COPY INTO:
- Tutorial: Load from an internal stage: In this tutorial, you will create an internal stage, stage a sample file, and then load data from the file into Databend with the COPY INTO command.
- Tutorial: Load from an Amazon S3 bucket: In this tutorial, you will upload a sample file to your Amazon S3 bucket, and then load data from the file into Databend with the COPY INTO command.
- Tutorial: Load from a remote file: In this tutorial, you will load data from a remote sample file into Databend with the COPY INTO command.