Working with Amazon S3-compatible storage¶

Cloud platform support¶

This feature is available to Snowflake accounts hosted on the following supported cloud platforms:

• Amazon Web Services

• Google Cloud

• Microsoft Azure

Requirements for S3-compatible storage¶

An S3-compatible API endpoint for Snowflake must meet the following requirements:

• Highly compliant with the S3 API and able to pass our public test suite (in GitHub). If the endpoint does not behave like S3, it cannot work with Snowflake.

• Supported by your third-party storage provider as a Snowflake S3-compatible tested and compliant service. For a list of vendors that have tested at least some of their products and found them to work with Snowflake, see Vendor support for S3-compatible storage.

• Accessible from the public cloud where your Snowflake account is hosted.

• Highly available and performant to serve analytics needs.

• Configured to use virtual-hosted-style requests. For more information, see Virtual hosting of buckets in the Amazon S3 documentation.

• Configured to use HTTPS communication with a valid TLS certificate.

• Configured to use direct credentials.

• Does not contain a port number. For example, the endpoint mystorage.com:3000 is not supported.

Creating an external stage for S3-compatible storage¶

To create an external stage for S3-compatible storage, create a named external stage by using the CREATE STAGE command. You can use an external stage to perform actions such as listing files, loading data, and unloading files.

Optionally, add a directory table to the external stage. You can query a directory table to retrieve file URLs to access files in the referenced storage, as well as other metadata.

The following example creates an external stage named my_s3_compat_stage that points to the bucket and path named my_bucket/files/ at the endpoint mystorage.com. The AWS_KEY_ID and AWS_SECRET_KEY values used in this example are for illustration purposes only.

CREATE STAGE my_s3compat_stage
  URL = 's3compat://my_bucket/files/'
  ENDPOINT = 'mystorage.com'
  CREDENTIALS = (AWS_KEY_ID = '1a2b3c...' AWS_SECRET_KEY = '4x5y6z...')

Loading and unloading data¶

You can load and unload data using an external stage configured for S3-compatible storage. The following features work with S3-compatible storage:

• Bulk data loading using the COPY INTO <table> command.

  For example, load data into table t1 from all files located in the load subpath in the bucket and path defined in a stage named my_s3compat_stage:

  COPY INTO t1
    FROM @my_s3compat_stage/load/;
  

  Copy

• Calling Snowpipe REST endpoints to continuously load data.

  For sample programs, see Option 1: Loading data using the Snowpipe REST API.

• Data unloading using the COPY INTO <location> command.

  For example, unload data from table t2 into files in the unload subpath in the bucket and path defined in a stage named my_s3compat_stage:

  COPY INTO @my_s3compat_stage/unload/
    FROM t2;
  

  Copy

Extending your data lake using external tables¶

You can use external tables with S3-compatible storage to query data without first loading it into Snowflake. This section briefly covers how to create and query an external table that references a location on an external stage configured for S3-compatible storage.

Start by creating an external table using CREATE EXTERNAL TABLE that reference an S3-compatible external stage.

The following example creates an external table named et that references subpath path1 in a stage named my_s3compat_stage. The files in the path1 subpath are in the Apache Parquet format.

CREATE EXTERNAL TABLE et
 LOCATION=@my_s3compat_stage/path1/
 AUTO_REFRESH = FALSE
 REFRESH_ON_CREATE = TRUE
 FILE_FORMAT = (TYPE = PARQUET);

After you create an external table for S3-compatible storage, you can query it. For example, query the value column in the external table created previously:

SELECT value FROM et;

Query performance varies depending on network and application or device performance. If performance is critical, create a materialized view on the external table. Materialized views are pre-computed, so querying a materialized view is faster than executing a query against the base table of the view.

Vendor support for S3-compatible storage¶

You can use devices or applications that have an S3-compliant API with Snowflake. However, your storage service provider is responsible for ensuring compliance.

The following vendors have indicated to Snowflake that they have tested at least some of their products and found them to work with Snowflake:

• Akave

• Backblaze

• Cloudflare

• Cloudian

• Cohesity

• Dell

• Hitachi Content Platform

• IBM Storage Ceph

• IDrive e2

• MinIO

• NetApp (StorageGRID)

• Nutanix

• PureStorage

• Scality

• Wasabi

This list is provided for convenience only. Snowflake does not test external products to validate compatibility and cannot fix issues in products sold by third-party vendors. If you have questions about whether or how your hardware or software with an S3 API works with Snowflake, contact the vendor directly.

Testing your S3-compatible API¶

If you are a hardware or software developer who has created an S3-compatible API, you can use our public test suite (in GitHub) to test whether your S3 API works with Snowflake. The test suite looks for obvious mismatches between your implementation and what Snowflake expects from S3. However, there might be cases where the tests don’t identify incompatibility.

If you’re a customer and you want to test your own devices, contact your vendor to run these tests. You can also run these public tests on your devices to assess compatibility.