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Connect Snowflake to your preprocessing pipeline, and use the Unstructured Ingest CLI or the Unstructured Ingest Python library to batch process all your documents and store structured outputs locally on your filesystem.

The requirements are as follows.

  • A Snowflake account and its identifier.

  • The Snowflake username and its password in the account.

  • The Snowflake hostname and its port number in the account.

  • The name of the Snowflake database in the account.

  • The name of the schema in the database.

  • The name of the table in the schema.

    Snowflake requires the target table to have a defined schema before Unstructured can write to the table. The recommended table schema for Unstructured is as follows:

    SQL
    CREATE TABLE ELEMENTS (
      ID VARCHAR(36) NOT NULL DEFAULT UUID_STRING(),
      RECORD_ID VARCHAR,
      ELEMENT_ID VARCHAR,
      TEXT VARCHAR,
      EMBEDDINGS ARRAY,
      TYPE VARCHAR,
      SYSTEM VARCHAR,
      LAYOUT_WIDTH NUMBER,
      LAYOUT_HEIGHT NUMBER,
      POINTS VARCHAR,
      URL VARCHAR,
      VERSION VARCHAR,
      DATE_CREATED TIMESTAMP_TZ,
      DATE_MODIFIED TIMESTAMP_TZ,
      DATE_PROCESSED TIMESTAMP_TZ,
      PERMISSIONS_DATA VARCHAR,
      RECORD_LOCATOR VARCHAR,
      CATEGORY_DEPTH NUMBER,
      PARENT_ID VARCHAR,
      ATTACHED_FILENAME VARCHAR,
      FILETYPE VARCHAR,
      LAST_MODIFIED TIMESTAMP_TZ,
      FILE_DIRECTORY VARCHAR,
      FILENAME VARCHAR,
      LANGUAGES ARRAY,
      PAGE_NUMBER VARCHAR,
      LINKS VARCHAR,
      PAGE_NAME VARCHAR,
      LINK_URLS ARRAY,
      LINK_TEXTS ARRAY,
      SENT_FROM ARRAY,
      SENT_TO ARRAY,
      SUBJECT VARCHAR,
      SECTION VARCHAR,
      HEADER_FOOTER_TYPE VARCHAR,
      EMPHASIZED_TEXT_CONTENTS ARRAY,
      EMPHASIZED_TEXT_TAGS ARRAY,
      TEXT_AS_HTML VARCHAR,
      REGEX_METADATA VARCHAR,
      DETECTION_CLASS_PROB NUMBER,
      PRIMARY KEY (ID)
    );
    

The Snowflake connector dependencies:

CLI, Python
pip install "unstructured-ingest[snowflake]"

You might also need to install additional dependencies, depending on your needs. Learn more.

These environment variables:

  • SNOWFLAKE_ACCOUNT - The ID of the Snowflake account, represented by --account (CLI) or account (Python).
  • SNOWFLAKE_USER - The name of the Snowflake user, represented by --user (CLI) or user (Python).
  • SNOWFLAKE_PASSWORD - The user’s password, represented by --password (CLI) or password (Python).
  • SNOWFLAKE_HOST - The hostname for the Snowflake account, represented by --host (CLI) or host (Python).
  • SNOWFLAKE_PORT - The host’s port number, represented by --port (CLI) or port (Python).
  • SNOWFLAKE_DATABASE - The name of the Snowflake database, represented by --database (CLI) or database (Python).

Now call the Unstructured Ingest CLI or the Unstructured Ingest Python library. The destination connector can be any of the ones supported. This example uses the local destination connector:

This example sends data to Unstructured API services for processing by default. To process data locally instead, see the instructions at the end of this page.

For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the --partition-by-api option (CLI) or partition_by_api (Python) parameter to specify where files are processed:

  • To do local file processing, omit --partition-by-api (CLI) or partition_by_api (Python), or explicitly specify partition_by_api=False (Python).

    Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:

    • --api-key $UNSTRUCTURED_API_KEY (CLI) or api_key=os.getenv("UNSTRUCTURED_API_KEY") (Python)
    • --partition-endpoint $UNSTRUCTURED_API_URL (CLI) or partition_endpoint=os.getenv("UNSTRUCTURED_API_URL") (Python)
    • The environment variables UNSTRUCTURED_API_KEY and UNSTRUCTURED_API_URL
  • To send files to Unstructured API services for processing, specify --partition-by-api (CLI) or partition_by_api=True (Python).

    Unstructured API services also requires an Unstructured API key and API URL, by adding the following:

    • --api-key $UNSTRUCTURED_API_KEY (CLI) or api_key=os.getenv("UNSTRUCTURED_API_KEY") (Python)
    • --partition-endpoint $UNSTRUCTURED_API_URL (CLI) or partition_endpoint=os.getenv("UNSTRUCTURED_API_URL") (Python)
    • The environment variables UNSTRUCTURED_API_KEY and UNSTRUCTURED_API_URL, representing your API key and API URL, respectively.

    Get an API key and API URL.